摘要
引言
皮肤鳞状细胞癌(cSCC)是猫常见的恶性肿瘤,晚期病例因具有高度的局部侵袭和复发潜能而仍然难以管理。表皮生长因子受体1(EGFR-1)和血管内皮生长因子A(VEGF-A)因其在增殖、侵袭和血管生成中的作用,已成为上皮性肿瘤中有前景的预后生物标志物。本研究旨在评估接受电化学治疗(ECT)的cSCC猫中EGFR-1和VEGF-A的免疫表达及其与临床病理变量和生存结局的关联。
方法
对前瞻性入组(n = 24)和回顾性入组(n = 9)的33只cSCC猫的肿瘤样本进行EGFR-1和VEGF-A的免疫组化表达评估。采用适当的统计检验评估免疫表达评分与临床病理变量、总生存时间(OST)、无病间期(DFI)和至进展时间(TTP)之间的关联。
结果
78.8%(26/33)的病例检测到EGFR-1阳性,且与较短的OST、神经周围浸润和强烈的炎性浸润显著相关。71.9%(23/32)的病例检测到VEGF-A免疫表达,且与既往cSCC病史、神经周围浸润(PNI)和肿瘤侵袭超出皮下脂肪显著相关。
讨论
这些发现表明,EGFR-1和VEGF-A免疫表达与猫cSCC中与侵袭性肿瘤行为相关的临床病理变量有关,支持其作为该物种预后生物标志物的潜在作用,并值得在更大队列中进一步研究。
关键词:EGFR-1,电化学治疗,猫,免疫组化,预后,皮肤癌,VEGF-A
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引言
皮肤鳞状细胞癌(cSCC)是猫最常见的皮肤肿瘤之一,是一个重要的健康问题,尤其是在色素沉着不良和长期暴露于紫外线辐射(UVR)的个体中(1)。尽管大多数cSCC被认为可治愈,但一部分猫会发展为更具侵袭性的疾病形式,具有高度的局部侵袭和复发潜能(2, 3)。早期识别不良结局风险较高的患者对于更好的治疗决策和治疗计划至关重要(参考文献)。
在此背景下,识别可靠的预后生物标志物已成为兽医肿瘤学的关键目标,而表皮生长因子受体1(EGFR-1)和血管内皮生长因子A(VEGF-A)等分子标志物已成为有前景的候选者,因为它们在肿瘤增殖、侵袭和血管生成中的作用已得到充分证实(4–7)。有趣的是,这两种分子已被证明通过上皮肿瘤细胞中的自分泌信号协同作用,促进皮肤癌的发展(8),这进一步支持了同时评估它们作为猫cSCC预后生物标志物的合理性。
EGFR-1是一种跨膜酪氨酸激酶受体,已成为多种恶性肿瘤中肿瘤进展的潜在生物标志物,在人类和兽医医学中受到越来越多的关注。EGFR表达与人类cSCC的肿瘤进展和更具侵袭性的表型相关(9, 10),并与较差的生存结局显著相关(11)。西妥昔单抗是一种抗EGFR单克隆抗体,已在晚期不可切除的人类cSCC中进行评估,两项临床研究报告6周时的疾病控制率分别为69%和87%(10, 12)。在猫cSCC中,一项开创性研究表明EGFR过表达与较短的生存时间之间存在显著关联(13)。然而,仍需要进一步研究以更好地阐明EGFR-1作为猫cSCC预后生物标志物和治疗靶点的作用。
VEGF-A家族被认为是血液和淋巴血管系统增殖、迁移和存活的最重要调节因子,其中VEGF-A因其在包括癌症在内的病理状态下诱导血管生成的关键作用而尤为突出。在犬和猫cSCC中,已在肿瘤性角质形成细胞中检测到VEGF免疫表达,但在正常皮肤中缺失或水平较低,且其表达与疾病进展和复发显著相关,支持VEGF驱动的血管生成在这些肿瘤生物学行为中的潜在作用(6, 14)。
在人类中,VEGF-A表达的预后影响已在黏膜头颈部SCC中得到更广泛的评估,其中高VEGF-A表达与晚期疾病和较差预后相关(15, 16)。具体在cSCC中,已有报道高VEGF-A表达与低分化肿瘤和更具侵袭性的表型相关(17, 18)。关于靶向治疗,贝伐珠单抗是一种靶向VEGF-A的单克隆抗体,已在复发性和转移性黏膜头颈部SCC中进行评估。尽管一项III期临床试验显示缓解率和无进展生存期有显著改善,但未观察到总生存获益,且报告了高毒性发生率(19)。
鉴于猫与人皮肤鳞状细胞癌(cSCC)在生物学和组织病理学上的相似性,包括共同的病因学因素、生物学行为和分子通路,猫已被提出作为研究人cSCC的有价值的自发动物模型(20)。在此背景下,深入了解EGFR-1和VEGF-A在猫cSCC中的预后作用,不仅可能改善兽医肿瘤学的临床管理,还可能有助于开发适用于两个物种的靶向治疗。
电化学疗法(ECT)已成为猫和人cSCC的有效局部治疗方式,特别是对于位于难以获得足够手术切缘的解剖部位的肿瘤。ECT将细胞毒性药物(最常用的是bleomycin)的给药与短时高强度电脉冲的递送相结合,电脉冲可短暂增加肿瘤细胞膜通透性,从而增强细胞内药物摄取和细胞毒性(21)。除这种直接细胞毒性作用外,ECT还诱导血管效应,其特征为短暂血管收缩和肿瘤血管破坏,这可能通过减少血流和增强局部药物滞留而有助于肿瘤控制(22)。据报道,接受ECT治疗的cSCC患者和猫的客观缓解率较高,范围为83%至100%(2, 3, 21, 23),支持其作为该疾病局部治疗的临床相关性。
因此,本研究旨在评估一组接受ECT治疗的猫cSCC中EGFR-1和VEGF-A的免疫表达,并探讨其与临床病理变量和生存结局的潜在关联。通过识别猫和人cSCC之间共享的临床相关生物标志物,本研究还旨在为比较肿瘤学框架做出贡献,进一步支持猫作为研究靶向治疗策略的自发转化模型。
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材料与方法
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研究设计与病例选择
本研究纳入经组织学确诊为头部区域皮肤鳞状细胞癌(cSCC)并接受ECT治疗的猫。猫于2023年1月至2025年7月期间从巴西雅博蒂卡巴尔圣保罗州立大学(UNESP)兽医教学医院兽医肿瘤科以及巴西圣保罗VetCancer Care肿瘤中心前瞻性入组。此外,回顾性审查了VetCancer Care肿瘤中心2018年1月至2022年12月期间的病历,以识别接受ECT治疗的cSCC猫。
本研究经圣保罗州立大学动物伦理委员会批准(UNESP/FCAV;方案编号7726/22),并按照国家动物实验控制委员会(CONCEA)指南进行。符合以下标准的猫有资格纳入:cSCC的组织病理学确认、ECT作为唯一治疗方式的指征,以及初诊时无远处转移性疾病证据。排除标准包括任何禁忌全身麻醉的状况。治疗后随访期少于30天的猫被排除在生存分析之外。
从前瞻性和回顾性队列中均获取临床数据。在前瞻性队列中,猫接受了标准化的临床评估、分期、治疗和随访方案。在回顾性队列中,从病历中检索了等效的临床和结局数据。所有猫记录的数据包括:人口学信息(年龄、性别和品种)、既往cSCC病史、肿瘤特征(大小、位置、病变数量、生长模式和唇部受累)、临床分期检查(胸部X线摄影和区域淋巴结评估)、根据世界卫生组织(WHO)分类的肿瘤分期(24)、ECT治疗详情、肿瘤对ECT的反应以及结局数据。
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治疗方案
所有猫在全身麻醉和围手术期镇痛下接受ECT。Bleomycin(Bonar®,Aché,巴西)用生理盐水稀释,以15,000 IU/m2的剂量静脉推注给药。Bleomycin给药8分钟后,使用针电极向肿瘤及周围健康组织边缘(1–2 cm)递送电脉冲。每个脉冲序列由八个脉冲组成,电场强度为1,000 V/cm,频率为5 kHz,脉冲持续时间为100 μs。两个队列使用相同的电穿孔方案,仅脉冲发生器不同(前瞻性病例使用E-pore®,回顾性病例使用VETCP 125®)。
治疗后,在ECT后第一个月内每隔7天进行临床再评估,此后每15天一次。肿瘤反应根据RECIST标准(25)评估,并分类为完全缓解(CR)、部分缓解(PR)、疾病稳定(SD)或疾病进展(PD)。反应分类在治疗后30天起、组织充分愈合后进行。
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组织病理学
在ECT开始前通过切取活检获取肿瘤样本。所有样本均用10%福尔马林固定,常规处理并石蜡包埋。组织学切片采用苏木精-伊红(H&E)染色,由同一位经委员会认证的兽医病理学家进行评价。对于回顾性病例,由同一位病理学家复核存档的组织学切片,以确保诊断和组织学分级的一致性。
评估的标准组织学特征包括:根据Goldschmidt和Goldschmidt(26)的组织学分类(高分化、中分化、低分化、棘层松解型和原位型)、炎性浸润强度(轻度、中度或重度)及核分裂指数(MI)。MI确定为在2.37 mm²标准化区域内(400×放大倍数下10个高倍视野)计数的核分裂象总数。其他组织学参数依据先前描述的人类cSCC标准进行评估,包括浸润深度(浅表、中间和深层)、是否浸润至皮下脂肪以外(存在或不存在)及神经周围浸润(PNI;存在或不存在)(2, 11, 27)。
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免疫组织化学
抗EGFR-1(28)和抗VEGF-A(29)抗体的克隆均已在免疫组织化学研究中验证了与猫组织的交叉反应性。按照标准化方案进行免疫组织化学分析,以评估肿瘤样本中EGFR-1和VEGF-A的表达。从福尔马林固定石蜡包埋(FFPE)的肿瘤组织中获取4 μm厚的切片,贴附于带正电荷的载玻片(StarFrost, Knittel, Bielefeld, Germany)上。使用二甲苯进行脱蜡,随后在高pH缓冲液(Dako, Carpinteria, CA, United States)中使用Pascal压力腔(Dako)进行抗原修复45分钟。通过在室温下与过氧化氢孵育15分钟来阻断内源性过氧化物酶活性。使用蒸馏水稀释的脱脂奶粉(Molico®, Nestlé, Brazil)在27 °C湿润环境中孵育40分钟以阻断非特异性蛋白结合。然后将切片与一抗抗EGFR1(克隆Ab-5/31G7,小鼠单克隆,Thermo Fisher Scientific, United States)和抗VEGFA(小鼠单克隆,克隆VG1,Dako, Unites States)在4 °C下孵育过夜,两者稀释度均为1:100(13, 30)。一抗孵育后,切片用磷酸盐缓冲液(PBS)洗涤,使用EnVision™ FLEX/HRP检测系统(Dako, Carpinteria, CA, United States)以3,3′-二氨基联苯胺(DAB)为显色剂进行免疫染色显色。切片用苏木精复染,脱水、透明并封片。皮肤样本用作EGFR1的阳性对照,真皮内的血细胞用作VEGFA的对照,依据Human Protein Atlas(31)报道的表达谱进行选择。通过省略一抗进行阴性对照。
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免疫组织化学评估
免疫组织化学切片在光学显微镜(26 mm直径;Leica DMLB, HC PLAN 10×/20)下以400×放大倍数检查。由于样本为ECT前采集的小型切取活检组织,对切片中所有可用的存活肿瘤组织在400×放大倍数下进行评估,而非使用预定数量的高倍视野或预定的最小肿瘤细胞数。坏死区域和组织处理伪影被排除在评估之外。免疫组织化学评分由两名对临床结局设盲的观察者进行,最终评分通过共识确定。
根据染色定位(EGFR-1:膜性和细胞质性;VEGF-A:主要为细胞质性)评估肿瘤上皮细胞中EGFR-1和VEGF-A的表达。免疫反应性评分基于染色强度和阳性肿瘤细胞百分比进行半定量计算。
对于EGFR-1,阳性肿瘤细胞百分比评分为1(≤10%)、2(11–30%)、3(31–60%)或4(>60%)。染色强度分级为1,低;2,中;或3,高。免疫反应性评分计算为百分比评分与强度评分的乘积。评分≤2的肿瘤归类为阴性,而阳性肿瘤根据先前发表的标准进一步分类为低表达(3–5)、中表达(6–8)或高表达(9–12)(13)。
对于VEGF-A,使用改编自先前发表方法的评分系统(4, 29)。阳性肿瘤细胞百分比评分为1(<10%)、2(10–25%)、3(26–50%)或4(>50%),而染色强度分级为0(无染色)、1(弱)、2(中)或3(强)。最终免疫反应性评分计算为百分比评分与强度评分之和,总评分范围为1至7。肿瘤分类为阴性(1–3)、弱阳性(4, 5)或强阳性(6, 7)。
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统计分析
统计分析采用IBM SPSS Statistics 31.0版(IBM Corp.,Armonk,NY,美国)进行。临床病理学及ECT相关特征以绝对频率和相对频率进行汇总。分类变量间的关联根据情况采用卡方检验或Fisher精确检验进行评估。EGFR-1与VEGF-A免疫反应评分之间的相关性采用Spearman秩相关系数进行评估。
生存结局采用Kaplan–Meier法估计,组间比较采用log-rank检验。无病间期(DFI)从首次ECT治疗日期计算至局部复发日期,仅对达到完全缓解的猫进行计算。至进展时间(TTP)从首次ECT治疗计算至有肿瘤进展证据的时间,对达到完全缓解或部分缓解的猫进行计算。总生存时间(OST)对应首次ECT治疗与因cSCC死亡之间的间隔。对于所有至事件发生时间终点,失访、死于肿瘤无关原因或在研究完成时仍存活且无复发或进展证据的猫,均在末次接触时间进行删失。统计显著性设定为p < 0.05。
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结果
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研究队列的基线特征
本研究共纳入33只猫,其中24只(72.7%)来自前瞻性队列,9只(27.3%)来自回顾性队列。根据临床相关性,每只猫选择一个目标病灶进行分析,最终获得33份可用于免疫组化评估的肿瘤样本。人口学、临床、组织学及ECT相关变量的分布汇总于表1。
Table 1. Demographic, clinical, histological and treatment-related variables of 33 cats with cutaneous squamous cell carcinoma
| Demographic and clinical variables | n (%) | |
|---|---|---|
| Sex ( n = 33) | Female | 20 (60.6) |
| Male | 13 (39.4) | |
| Age ( n = 33) | Young adult (1–6 years) | 6 (18.2) |
| Mature adult (7–10 years) | 11 (33.3) | |
| Senior (≥11 years) | 16 (48.5) | |
| Coat color ( n = 33) | White | 10 (30.3) |
| Partially white | 23 (69.7) | |
| Number of lesions ( n = 33) | Single | 25 (75.8) |
| Multiple | 8 (24.2) | |
| Anatomic location ( n = 33) | Nasal planum | 17 (51.5) |
| Eyelid | 4 (12.1) | |
| Ear | 5 (15.2) | |
| Temporal | 3 (9.1) | |
| Labial | 2 (6.1) | |
| Mental | 2 (6.1) | |
| Tumor size (cm) ( n = 28) | ≤2.5 | 19 (67.9) |
| >2.5 | 9 (32.1) | |
| Labial extension ( n = 33) | No | 18 (54.5) |
| Yes | 15 (45.5) | |
| Previous cSCC ( n = 33) | No | 24 (72.7) |
| Yes | 9 (27.3) | |
| Growth pattern ( n = 33) | Non-erosive | 15 (45.5) |
| Erosive | 18 (54.5) | |
| T stage ( n = 33) | T1 | 8 (24.2) |
| T2 | 10 (30.3) | |
| T3 | 3 (9.1) | |
| T4 | 12 (36.4) | |
| Histological variables | ||
| Histopathological classification ( n = 33) | Well-differentiated | 6 (18.2) |
| Moderate differentiated | 8 (24.2) | |
| Poorly differentiated | 13 (39.4) | |
| Acantholytic | 5 (15.2) | |
| In situ | 1 (3.0) | |
| Mitotic index ( n = 32) | <7 | 15 (46.9) |
| ≥7 | 17 (53.1) | |
| Depth of invasion ( n = 30) | Superficial (≤2 mm) | 9 (30) |
| Intermediate (3–5 mm) | 14 (46.7) | |
| Deep (>5 mm) | 7 (23.3) | |
| Invasion beyond subcutaneous fat ( n = 25) | No | 17 (68) |
| Yes | 8 (32) | |
| Inflammatory intensity ( n = 32) | Mild | 4 (12.5) |
| Moderate | 15 (46.9) | |
| Intense | 13 (40.6) | |
| Perineural invasion ( n = 24) | No | 12 (50) |
| Yes | 12 (50) | |
| ECT-related variables | ||
| Tumor response ( n = 30) | CR | 24 (80%) |
| PR | 6 (20%) | |
| Local recurrence ( n = 24) | No | 15 (62.5) |
| Yes | 9 (37.5) | |
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电化学治疗的反应
33只猫中有30只(90.9%)可评估ECT后的临床反应;3只猫因未完成反应评估所需的最低30天随访期而被排除。治疗过程中达到的最佳反应为CR 24只(80.0%),PR 6只(20.0%)。在达到CR的24只猫中,20只(83.3%)在单次ECT治疗后达到CR,而4只(16.7%)在首次治疗后肿瘤初始缩小≥90%的基础上,于第二次ECT治疗后达到CR。
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EGFR-1与VEGF-A免疫表达
33份样本中检出EGFR-1阳性26份(78.8%),7例(21.2%)分类为阴性。(图1A)所有阳性样本(免疫反应评分> 2)均主要表现为细胞质EGFR-1免疫反应性(图1B、C)。免疫反应评分范围为0至9,中位评分为6。根据Sabattini等提出的分类方法,阳性病例中10例(38.5%)显示低水平表达(评分3–5),15例(57.7%)显示中等表达(评分6–8),1例(3.8%)显示高表达(评分9)(13)。
[图:猫皮肤鳞状细胞癌中EGFR-1与VEGF-A免疫反应性的代表性显微照片。(A)P]
33份肿瘤样本中有32份可评估VEGF-A免疫染色,1份样本因免疫组化处理过程中组织切片从玻片上脱落而无法评估。32份可评估样本中VEGF-A免疫染色阳性23份(71.9%),其中16份(50.0%)分类为弱阳性(评分4–5),7份(21.9%)为强阳性(评分6–7;图1D–F)。9份样本(28.1%)分类为阴性(评分0–3)。免疫反应评分范围为0至7,中位评分为4。
EGFR-1与VEGF-A免疫反应评分之间观察到显著正相关(Spearman ρ = 0.692,p < 0.001;n = 32),表明较高的EGFR-1评分与较高的VEGF-A评分相关(图2)。
[图:猫皮肤鳞状细胞癌中EGFR-1与VEGF-A免疫反应性评分之间的关系。一项显著]
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EGFR-1与VEGF-A免疫表达的临床病理关联
根据EGFR-1和VEGF-A免疫反应性的临床病理变量分布见表2。EGFR-1免疫反应性与PNI(p = 0.047)和强烈炎症浸润(p = 0.045)显著相关。VEGF-A表达与既往皮肤鳞状细胞癌病史(cSCC;p = 0.038)、PNI(p = 0.033)和超越皮下脂肪的侵袭(p = 0.028)显著相关。
Table 2. Association between clinicopathological parameters and EGFR and VEGF immunoreactivity in 33 feline cutaneous squamous cell carcinomas.
| Clinicopathological parameters | EGFR expression | p -value | VEGF expression | p -value | |||
|---|---|---|---|---|---|---|---|
| Negative (%) | Positive (%) | Negative (%) | Weakly positive (%) | Strongly positive (%) | |||
| Sex ( n = 33) | |||||||
| F | 5 (15.2) | 15 (45.5) | 0.676 | 6 (18.8) | 10 (31.3) | 3 (9.4) | 0.590 |
| M | 2 (6.1) | 11 (33.3) | 3 (9.4) | 6 (18.8) | 4 (12.5) | ||
| Tumor location ( n = 33) | |||||||
| Ear | 2 (6.1) | 3 (9.1) | 0.767 | 2 (6.3) | 2 (6.3) | 1 (3.1) | 0.565 |
| Eyelid | 1 (3) | 3 (9.1) | 0 (0) | 3 (9.4) | 1 (3.1) | ||
| Labial | 0 (0) | 2 (6.1) | 0 (0) | 1 (3.1) | 1 (3.1) | ||
| Mental region | 0 (0) | 2 (6.1) | 0 (0) | 1 (3.1) | 1 (3.1) | ||
| Nasal plane | 3 (9.1) | 14 (42.4) | 5 (15.6) | 9 (28.1) | 2 (6.3) | ||
| Temporal | 1 (3) | 2 (6.1) | 2 (6.3) | 0 (0) | 1 (3.1) | ||
| Tumor size ( n = 28) | |||||||
| ≤2.5 cm | 4 (14.3) | 15 (53.6) | 1.000 | 4 (14.3) | 12 (42.9( | 3 (10.7) | 0.323 |
| >2.5 cm | 1 (3.6) | 8 (28.6) | 3 (10.7) | 3 (10.7) | 3 (10.7) | ||
| Multiplicity of lesions ( n = 33) | |||||||
| Single lesion | 4 (12.1) | 21 (63.6) | 0.320 | 6 (18.8) | 14 (43.8) | 4 (12.5) | 0.240 |
| Multiple lesions | 3 (9.1) | 5 (15.2) | 3 (9.4) | 2 (6.3) | 3 (9.4) | ||
| Previous cSCC ( n = 33) | |||||||
| No | 7 (21.2) | 17 (51.5) | 0.149 | 9 (28.1) | 11 (34.4) | 3 (9.4) | 0.038 |
| Yes | 0 (0) | 9 (27.3) | 0 (0) | 5 (15.6) | 4 (12.5) | ||
| Labial extension ( n = 33) | |||||||
| No | 5 (15.2) | 13 (39.4) | 0.312 | 5 (15.6) | 9 (28.1) | 4 (12.5) | 0.998 |
| Yes | 2 (6.1) | 13 (39.4) | 4 (12.5) | 7 (21.9) | 3 (9.4) | ||
| Growth pattern ( n = 33) | |||||||
| Non-erosive | 2 (6.1) | 13 (39.4) | 0.413 | 3 (9.4) | 9 (28.1) | 3 (9.4) | 0.529 |
| Erosive | 5 (15.2) | 13 (39.4) | 6 (18.8) | 7 (21.9) | 4 (12.5) | ||
| T stage ( n = 33) | |||||||
| T1 | 1 (3) | 7 (21.2) | 0.629 | 1 (3.1) | 4 (12.5) | 3 (9.4) | 0.364 |
| T2 | 3 (9.1) | 7 (21.2) | 4 (12.5) | 5 (15.6) | 1 (3.1) | ||
| T3 | 0 (0) | 3 (9.1) | 0 (0) | 3 (9.4) | 0 (0) | ||
| T4 | 3 (9.1) | 9 (27.3) | 4 (12.5) | 4 (12.5) | 3 (9.4) | ||
| cSCC classification ( n = 32) | |||||||
| Well-differentiated | 2 (6.3) | 4 (12.5) | 0.766 | 3 (9.7) | 0 (0) | 3 (9.7) | 0.185 |
| Moderately differentiated | 1 (3.1) | 7 (21.9) | 1 (3.2) | 6 (19.4) | 1 (3.2) | ||
| Poorly differentiated | 2 (6.3) | 11 (34.4) | 3 (9.7) | 8 (25.8) | 2 (6.5) | ||
| Acantholytic | 1 (3.1) | 4 (12.5) | 1 (3.2) | 2 (6.5) | 1 (3.2) | ||
| Mitotic index ( n = 32) | |||||||
| ≤6 | 4 (12.5) | 11 (34.4) | 0.383 | 4 (12.9) | 6 (19.4) | 4 (12.9) | 0.650 |
| >6 | 2 (6.3) | 15 (46.9) | 4 (12.9) | 10 (32.3) | 3 (9.7) | ||
| Depth of invasion ( n = 30) | |||||||
| Superficial (≤2 mm) | 1 (3.3) | 8 (26.7) | 0.220 | 3 (10.3) | 3 (10.3) | 3 (10.3) | 0.094 |
| Intermediate (>2 mm–5 mm) | 4 (13.3) | 10 (33.3) | 4 (13.8) | 6 (20.7) | 3 (10.3) | ||
| Deep (>5 mm) | 0 (0) | 7 (23.3) | 0 (0) | 7 (24.1) | 0 (0) | ||
| Invasion beyond subcutaneous fat ( n = 25) | |||||||
| No | 4 (16) | 13 (52) | 1.000 | 6 (25) | 5 (20.8) | 5 (20.8) | 0.028 |
| Yes | 1 (4) | 7 (28) | 0 (0) | 7 (29.2) | 1 (4.2) | ||
| Inflammatory intensity ( n = 32) | |||||||
| Mild (+) | 2 (6.3) | 2 (6.3) | 0.045 | 2 (6.5) | 2 (6.5) | 0 (0) | 0.193 |
| Moderate (++) | 4 (12.5) | 11 (34.4) | 5 (16.1) | 8 (25.8) | 2 (6.5) | ||
| Intense (+++) | 0 (0) | 13 (40.6) | 1 (3.2) | 6 (19.4) | 5 (16.1) | ||
| PerineuraI invasion ( n = 24) | |||||||
| No | 4 (16.7) | 8 (33.3) | 0.047 | 5 (21.7) | 6 (26.1) | 1 (4.3) | 0.033 |
| Yes | 0 (0) | 12 (50) | 0 (0) | 7 (30.4) | 4 (17.4) | ||
| Tumor response ( n = 30) | |||||||
| CR | 6 (20) | 18 (60) | 1.000 | 7 (24.1) | 10 (34.5) | 7 (24.1) | 0.382 |
| PR | 1 (3.3) | 5 (16.7) | 2 (6.9) | 3 (10.3) | 0 (0) | ||
| Local recurrence ( n = 25) | |||||||
| Yes | 5 (20) | 11 (44) | 0.364 | 5 (20.8) | 7 (29.2) | 3 (12.5) | 0.443 |
| No | 1 (4) | 8 (32) | 2 (8.3) | 3 (12.5) | 4 (16.7) | ||
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生存分析
生存分析纳入30只猫,3例因治疗后随访不足30天根据预设排除标准被排除。简言之,研究期末,13只(43.3%)猫存活,17只(56.7%)死亡,其中因肿瘤进展死亡11/17(64.7%),因与肿瘤无关原因死亡6/17(35.3%)。总体中位OST为601天(95% CI,180–1,021)。平均DFI为588天(95% CI,405–764),中位TTP为99天(95% CI,73–124)。
Kaplan–Meier生存分析显示,EGFR阳性肿瘤猫的生存期显著短于EGFR阴性肿瘤猫(log-rank检验,p = 0.033;图3)。对于VEGF,Kaplan–Meier生存分析显示VEGF表达与任何生存结局均无显著关联(p > 0.05)。
[图:基于EGFR免疫组化表达比较猫生存期的Kaplan–Meier曲线。阴性受试者]
此外,PNI阳性猫的生存期显著短于PNI阴性猫(平均OST分别为327天 vs. 789天;p = 0.027,图4)。
[图:基于PNI存在比较猫生存期的Kaplan–Meier曲线。PNI阴性肿瘤受试者存活]
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讨论
鉴定可靠的预后和预测生物标志物仍是兽医肿瘤学的核心挑战,评估猫cSCC中EGFR-1和VEGF-A表达的研究仍然稀缺。因此,本前瞻性-回顾性研究旨在评估33只cSCC猫中EGFR-1和VEGF-A的免疫表达及其与临床病理和生存结局的关联。
EGFR-1是一种跨膜酪氨酸激酶受体,配体结合后可发生二聚化和自磷酸化,触发下游细胞内信号通路级联反应,最终刺激与细胞增殖、分化、运动和存活相关基因的转录。EGFR-1也可在细胞质中检测到,反映其再循环途径以及与肿瘤发生相关的受体加工失调(11, 32)。在本研究中,EGFR-1阳性率为78.8%(26/33),与先前报道的猫cSCC中74%的阳性率(13)以及人cSCC中报道的EGFR-1表达流行率(11, 33)一致。
EGFR-1阳性免疫表达与较短的OST显著相关。迄今为止,仅有一项已发表研究探讨了EGFR-1免疫表达在猫cSCC中的预后价值,其发现与我们的结果一致,报告了EGFR-1过表达与生存时间缩短之间的显著关联(13)。因此,我们的结果进一步支持EGFR-1作为cSCC预后标志物的潜力。在人cSCC中,尽管一些研究未能证明EGFR-1过表达与不良结局之间的显著关联(34, 35),但更近期的研究已报告其与肿瘤进展和转移的显著相关性(11)。此外,在猫cSCC中鉴定出EGFR-1过表达也可能具有治疗意义,支持将抗EGFR靶向治疗作为EGFR-1阳性肿瘤猫的潜在治疗策略进行研究。
近期,已发表了一些关于在患癌猫中使用HER2/EGFR抑制剂的研究(36–38)。这些研究提供了令人鼓舞的证据,表明靶向EGFR/HER2信号通路在猫肿瘤学中既可行又具有临床相关性(36–38)。特别是,lapatinib在自然发生的猫肿瘤中已显示出可接受的安全性和初步抗肿瘤活性,而临床前研究表明,抑制EGFR-1可减少肿瘤细胞增殖、增强放射敏感性,并可能克服耐药机制(36–38)。这些发现支持进一步研究EGFR-1和HER2靶向治疗作为表达EGFR的恶性肿瘤猫的精准医学方法。
神经周围浸润(PNI)定义为肿瘤细胞扩散至周围神经内、周围或穿过的能力,被广泛认为是与人cSCC较差结局相关的相关预后指标(39, 40)。在猫cSCC中,一项先前评估接受ECT治疗猫的回顾性研究发现PNI与局部复发之间存在显著关联;然而,其与生存的潜在关联未被研究(2)。
在本研究中,EGFR-1阳性与PNI显著相关。这一发现与来源于黏膜的人SCC的证据一致,其中EGFR-1表达与PNI显著相关,绝大多数PNI阳性病例表现出EGFR-1免疫反应性(41, 42)。EGFR信号传导通过涉及肿瘤源性神经肽、Src激酶激活、MAPK/ERK1/2信号传导、基质金属蛋白酶上调以及肿瘤细胞与神经组织之间旁分泌环路的途径参与PNI(42, 43)。尽管缺乏猫cSCC中的可比数据,但EGFR-1信号通路在不同物种间的保守性支持该关联的生物学合理性。
在本研究中,EGFR-1阳性与强烈的炎症浸润显著相关,这一发现可能由EGFR-1信号传导与肿瘤炎症微环境之间的双向关系来解释。一方面,EGFR-1激活驱动促炎细胞因子和趋化因子——包括IL-6、TNF和IL-8——的表达,这些因子 actively 将炎症细胞募集至肿瘤微环境,可能解释了在EGFR阳性肿瘤中观察到的更强烈浸润(43)。另一方面,炎症介质可能反向放大EGFR信号传导,特别是通过substance P,其经Src激酶反式激活EGFR-1,激活MAPK/ERK1/2通路,并进一步上调MMPs和促炎分子(43)。这种自我强化环路可能促成本研究中EGFR阳性肿瘤所观察到的更具侵袭性的生物学行为,包括与PNI和生存时间缩短的关联。
尽管EGFR-1在细胞分化和增殖中发挥重要作用,我们的结果未能证明EGFR-1免疫表达与核分裂活性或肿瘤分化之间的显著关联,与先前发现一致(13)。相反,先前在人类中的研究报道,中至低分化的皮肤和头颈部SCC中EGFR-1表达显著更高(11, 44)。这些相互矛盾的结果可能归因于各研究间样本量和免疫组化评分系统的差异。
新生血管的形成,也称为血管新生,是肿瘤发展和扩散的关键事件(45)。VEGF-A是一种肝素结合生长因子,直接作用于血管内皮细胞,在生理和病理条件下促进细胞生长、迁移和血管通透性。在犬和猫的肿瘤性角质形成细胞及犬皮肤鳞状细胞癌(cSCC)中检测到VEGF-A免疫表达,但在正常皮肤中未检测到,且其表达与疾病进展和复发显著相关(14)。类似地,随后的一项研究报告称,与正常皮肤相比,猫cSCC中VEGF-A免疫表达增加(6)。这些发现提示VEGF驱动的血管新生在这些肿瘤的生物学行为中具有潜在作用。
在本研究中,71.9%的病例检测到VEGF-A免疫表达,超过了先前报道的猫cSCC中54%的阳性率(14)。关于猫cSCC中VEGF-A免疫表达的文献仍然稀少,且研究之间的直接比较受到样本量、抗体克隆和所用免疫组化评分系统差异的限制。在犬中,VEGF-A已被更广泛地研究,阳性率范围为32%至100%(14, 46, 47)。
在本研究评估的临床变量中,高VEGF-A免疫表达与既往cSCC病史显著相关。在本研究中,就诊时具有既往cSCC病史的大多数猫(6/9;66.7%)为复发性肿瘤,而三只(33.3%)在头部不同部位出现了新的独立病灶。高VEGF-A表达与既往cSCC病史之间的关联可能部分反映了克隆选择,即存活的肿瘤细胞获得了逐渐更具侵袭性和促血管生成能力的表型。慢性紫外线诱导的区域癌化也可能通过上调反复受损组织中的VEGF-A表达而发挥作用,从而形成有利于肿瘤复发的微环境。然而,这些机制仍属推测,需要进一步研究。
有趣的是,在本研究中,高VEGF-A表达与ECT后随后的肿瘤复发无显著关联,这与先前报道的猫cSCC中VEGF-A表达与肿瘤复发之间的显著关联形成对比(14)。治疗方式的差异可能导致了这些发现,因为本研究仅评估了接受ECT治疗的猫。需要进一步研究以确定VEGF表达的预后价值是否因治疗方法而异。
在本研究中,VEGF-A免疫表达还与PNI显著相关。除了在脑血管化中的作用外,VEGF-A在神经元增殖和存活中也发挥关键作用(48)。反过来,神经生长因子(NGF)及其受体酪氨酸激酶A(TrkA)作为PNI的关键介质,能够刺激内皮细胞迁移和增殖,促进新生血管的功能成熟(49, 50)。这些发现提示VEGF驱动的血管新生和PNI在猫cSCC中可能共享共同的分子介质,尽管这种相互作用的确切性质需要进一步研究。
在本研究中,VEGF-A免疫表达与肿瘤侵犯超出皮下脂肪显著相关。然而,来自人类cSCC的初步证据并不一致支持这一关联。先前的一项研究表明,肿瘤血管密度仅在浸润皮下组织的晚期SCC中显著增加,但各病变组之间VEGF-A免疫表达无相应差异(51)。类似地,另一项研究发现VEGF-A表达与肿瘤浸润深度之间无显著相关性(52)。尽管存在这些相互矛盾的发现,我们假设侵入更深组织区域的肿瘤可能经历更严重的缺氧,而缺氧是公认的VEGF-A上调诱导因素,这可能解释在这些病例中观察到的较高VEGF-A免疫表达。需要更大样本量的进一步研究来阐明猫和人类cSCC中的这一关联。
据作者所知,这是第一项评估VEGF-A免疫表达与猫cSCC总体生存时间关联的前瞻性研究。未观察到VEGF-A表达与OST、DFI或TTP之间的显著关联。这些发现与Dos Anjos等人(47)的报道一致,他们同样发现VEGF免疫表达与接受ECT治疗的犬cSCC的生存之间无显著关联。迄今为止,尚无研究评估VEGF-A表达在接受ECT治疗的人类cSCC中的预后意义,限制了对本研究结果的直接比较。相比之下,在接受传统治疗方法的人类黏膜头颈部SCC中的研究报告了高VEGF-A表达与较差的总生存期(53)以及较短的无病间期(54)之间的关联。这些差异可能与黏膜SCC更具侵袭性的生物学行为以及与ECT治疗的皮肤肿瘤相比治疗方法的差异有关。
在本研究中,EGFR-1和VEGF-A的表达均与PNI显著相关。尽管本研究中VEGF-A与生存率无相关性,但这些发现强化了这些生物标志物作为猫cSCC预后指标的可能作用。除了其在该物种中的潜在预后价值外,这些生物标志物还可能代表具有生物学相关性的比较生物标志物,进一步支持自然发生的猫cSCC作为人类皮肤鳞状细胞癌自发模型的转化价值。
本研究的局限性包括缺乏正常皮肤对照组进行比较、样本量相对较小以及纳入回顾性病例,这些因素可能导致数据收集和随访完整性的异质性。此外,未使用CD31或vWF等内皮标志物评估微血管密度。因此,无法确定VEGF-A表达是否与微血管密度增加相关或反映功能性肿瘤新生血管生成。EGFR-1和VEGF-A的表达仅通过免疫组织化学评估,未使用Western blotting或RT-qPCR等分子技术进行补充验证。在解读半定量表达结果时,应考虑缺乏正交验证这一局限性。需要更大队列的前瞻性研究来证实我们的发现,并评估EGFR和VEGF-A作为该物种抑制剂类疗法潜在靶点的预测价值。
致谢
作者感谢Vet Cancer和VCLab Pathology全体团队在数据收集方面给予的支持。
资助声明
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LL:概念构思、形式分析、调查研究、方法学、撰写——原始草稿、撰写——审阅与编辑。MR:概念构思、调查研究、资源提供、撰写——审阅与编辑。KO:调查研究、资源提供、撰写——审阅与编辑。CF-A:调查研究、资源提供、验证、撰写——审阅与编辑。FM:调查研究、撰写——审阅与编辑。GB:调查研究、撰写——审阅与编辑。FQ:数据管理、形式分析、资金获取、调查研究、资源提供、监督、可视化、撰写——审阅与编辑。AN:概念构思、资金获取、调查研究、资源提供、监督、可视化、撰写——审阅与编辑。
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Abstract
Introduction
Cutaneous squamous cell carcinoma (cSCC) is a prevalent malignancy in cats, and advanced cases remain challenging to manage due to their high potential for local invasion and recurrence. Epidermal growth factor receptor 1 (EGFR-1) and vascular endothelial growth factor A (VEGF-A) have emerged as promis- ing prognostic biomarkers in epithelial tumors, given their roles in proliferation, invasion, and angiogenesis. This study aimed to evaluate EGFR-1 and VEGF-A immunoexpression in cats with cSCC treated with electrochemotherapy (ECT) and their associations with clinicopathological variables and survival outcomes.
Methods
Immunohistochemical expression of EGFR-1 and VEGF-A was evaluated in tumor samples from 33 cats with cSCC enrolled prospectively (n = 24) and retrospec- tively (n = 9). Associations between immunoexpression scores and clinicopatho- logical variables, overall survival time (OST), disease-free interval (DFI), and time to progression (TTP) were assessed using appropriate statistical tests.
Results
EGFR-1 positivity was detected in 78.8% (26/33) of cases and was significantly associated with shorter OST, perineural invasion, and intense inflammatory infiltrate. VEGF-A immunoexpression was detected in 71.9% (23/32) of cases and was significantly associated with previous history of cSCC, perineural invasion (PNI), and tumor invasion beyond the subcutaneous fat.
Discussion
These findings suggest that EGFR-1 and VEGF-A immunoexpression are associated with clinicopathological variables linked to aggressive tumor behavior in feline cSCC, supporting their potential role as prognostic biomarkers in this species and warranting further investigation in larger cohorts.
Keywords: EGFR-1, electrochemotherapy, cat, immunohistochemistry, prognosis, skin cancer, VEGF-A
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Introduction
Cutaneous squamous cell carcinoma (cSCC) is one of the most prevalent skin tumors in cats, representing a significant health concern, particularly in individuals with poorly pigmented skin and chronic exposure to ultraviolet radiation (UVR) (1). Although most cSCCs are considered curable, a subset of cats develops a more aggressive form of the disease, with high potential for local invasion and recurrence (2, 3). The early identification of patients at greater risk for adverse outcomes is imperative for better therapeutic decision-making and treatment planning (Reference).
In this context, the identification of reliable prognostic biomarkers has become a key objective in veterinary oncology, and molecular markers such as the epidermal growth factor receptor 1 (EGFR-1) and vascular endothelial growth factor A (VEGF-A) have emerged as promising candidates, given their well-established roles in tumor proliferation, invasion, and angiogenesis (4–7). Interestingly, these two molecules have been shown to act synergistically through autocrine signaling in epithelial tumor cells, promoting skin carcinoma development (8), which further supports the rationale for their simultaneous evaluation as prognostic biomarkers in feline cSCC.
EGFR-1, a transmembrane tyrosine kinase receptor, has emerged as a potential biomarker of tumor progression across multiple malignancies, receiving increasing attention in human and veterinary medicine. EGFR expression has been linked to tumor progression and more aggressive phenotypes in human cSCC (9, 10) and significantly associated with poorer survival outcomes (11). Cetuximab, a monoclonal anti-EGFR antibody, has been evaluated in advanced unresectable human cSCC, with disease control rates of 69 and 87% at 6 weeks reported in two clinical studies (10, 12). In feline cSCC, a pioneering study demonstrated a significant association between EGFR overexpression and shorter survival time (13). However, further studies are still warranted to better elucidate the role of EGFR-1 as a prognostic biomarker and therapeutic target in cats with cSCC.
The VEGF-A family is considered the most important regulator of proliferation, migration, and survival of both blood and lymphatic vasculature, with VEGF-A standing out for its pivotal role in inducing angiogenesis in pathological condition, including cancer. In canine and feline cSCC, VEGF immunoexpression has been detected in neoplastic keratinocytes but absent or at lower levels in normal skin, and its expression has been significantly associated with disease progression and recurrence, supporting a potential role of VEGF-driven angiogenesis in the biological behavior of these tumors (6, 14).
In humans, the prognostic impact of VEGF-A expression has been more extensively evaluated in mucosal head and neck SCC, where high VEGF-A expression has been associated with advanced disease and worse prognosis (15, 16). In cSCC specifically, high VEGF-A expression has been reported in association with poorly differentiated tumors and more aggressive phenotypes (17, 18). Regarding targeted therapy, Bevacizumab, a monoclonal antibody targeting VEGF-A, has been evaluated in recurrent and metastatic mucosal head and neck SCC. Although a phase III clinical trial demonstrated significant improvements in response rate and progression-free survival, no benefit in overall survival was observed, and high toxicity rates were reported (19).
Considering the biological and histopathological similarities between feline and human cSCC, including shared etiological factors, biological behavior, and molecular pathways, the cat has been proposed as a valuable spontaneous animal model for the study of human cSCC (20). In this context, a better understanding of the prognostic role of EGFR-1 and VEGF-A in feline cSCC may not only improve clinical management in veterinary oncology, but also contribute to the development of targeted therapies applicable to both species.
Electrochemotherapy (ECT) has emerged as an effective local treatment modality for feline and human cSCC, particularly for tumors in anatomical locations where achieving adequate surgical margins may be challenging. ECT combines the administration of a cytotoxic drug, most commonly bleomycin, with the delivery of short, high-intensity electric pulses that transiently increase tumor cell membrane permeability, thereby enhancing intracellular drug uptake and cytotoxicity (21). In addition to this direct cytotoxic effect, ECT induces vascular effects characterized by transient vasoconstriction and disruption of tumor blood vessels, which may contribute to tumor control by reducing blood flow and enhancing local drug retention (22). High objective response rates have been reported in humans and cats with cSCC treated with ECT, ranging from 83 to 100% (2, 3, 21, 23), supporting its clinical relevance as a local treatment for this disease.
Therefore, this study aimed to evaluate the immunoexpression of EGFR-1 and VEGF-A in a cohort of cats with cSCC treated with ECT, and to investigate their potential associations with clinicopathological variables and survival outcomes. By identifying clinically relevant biomarkers shared between feline and human cSCC, this study also aims to contribute to the comparative oncology framework, further supporting the cat as a spontaneous translational model for the investigation of targeted therapeutic strategies.
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Materials and methods
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Study design and case selection
This study included cats with histologically confirmed cutaneous squamous cell carcinoma (cSCC) located in the head region and treated with ECT. Cats were prospectively enrolled from the Veterinary Oncology Service of the Veterinary Teaching Hospital, São Paulo State University (UNESP), Jaboticabal, Brazil, and from the VetCancer Care Oncology Center, São Paulo, Brazil, between January 2023 and July 2025. Additionally, medical records from the VetCancer Care Oncology Center were retrospectively reviewed to identify cats with cSCC treated with ECT between January 2018 and December 2022.
The study was approved by the Animal Ethics Committee of Universidade Estadual Paulista (UNESP/FCAV; protocol no. 7726/22) and conducted in accordance with the National Council for the Control of Animal Experimentation (CONCEA) guidelines. Cats were eligible for inclusion if they met the following criteria: histopathological confirmation of cSCC, indication for ECT as the sole therapeutic modality, and no evidence of distant metastatic disease at initial presentation. Exclusion criteria included any condition contraindicating general anesthesia. Cats with a follow-up period of less than 30 days after treatment were excluded from survival analyses.
Clinical data were obtained from both the prospective and retrospective cohorts. In the prospective cohort, cats underwent standardized clinical evaluation, staging, treatment, and follow-up protocols. In the retrospective cohort, equivalent clinical and outcome data were retrieved from medical records. Data recorded for all cats included: demographic information (age, sex, and breed), history of previous cSCC, tumor characteristics (size, location, number of lesions, growth pattern, and lip involvement), clinical staging workup (thoracic radiography and regional lymph node evaluation), tumor stage according to the World Health Organization (WHO) classification (24), ECT treatment details, tumor response to ECT, and outcome data.
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Treatment protocol
All cats underwent ECT under general anesthesia with perioperative analgesia. Bleomycin (Bonar®, Aché, Brazil) was diluted in saline solution and administered intravenously as a bolus at a dose of 15,000 IU/m2. Eight minutes after bleomycin administration, electric pulses were delivered to the tumor and surrounding healthy tissue margins (1–2 cm) using needle electrodes. Each pulse train consisted of eight pulses at an electric field intensity of 1,000 V/cm, a frequency of 5 kHz, and a pulse duration of 100 μs. The same electroporation protocol was used in both cohorts, differing only in the pulse generator used (E-pore® for prospective cases and VETCP 125® for retrospective cases).
After treatment, clinical reassessments were performed at 7-day intervals during the first month after ECT and every 15 days thereafter. Tumor response was assessed according to RECIST criteria (25) and categorized as complete response (CR), partial response (PR), stable disease (SD), or progressive disease (PD). Response classification was performed from 30 days post-treatment onward, after adequate tissue healing.
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Histopathology
Tumor samples were obtained by incisional biopsy prior to ECT initiation. All samples were fixed in 10% formalin, routinely processed, and embedded in paraffin. Histological sections were stained with hematoxylin and eosin (H&E) and evaluated by the same board-certified veterinary pathologist. In retrospective cases, archived histological slides were reviewed by the same pathologist to ensure consistency in diagnosis and histological grading.
The standard histological features assessed included histological classification (well-differentiated, moderately differentiated, poorly differentiated, acantholytic, and in situ) according to Goldschmidt and Goldschmidt (26), intensity of inflammatory infiltrate (mild, moderate, or intense), and mitotic index (MI). MI was determined as the total number of mitotic figures counted in a standardized area of 2.37 mm2 (10 high-power fields at 400 × magnification). Additional histological parameters were assessed based on criteria previously described for human cSCC, including depth of invasion (superficial, intermediate, and deep), invasion beyond the subcutaneous fat (present or absent), and perineural invasion (PNI; present or absent) (2, 11, 27).
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Immunohistochemistry
The clone of both anti-EGFR-1 (28) and anti-VEGF-A (29) antibodies have been previously validated for cross-reactivity with feline tissues in immunohistochemical studies. The immunohistochemical analyses were performed to evaluate the expression of EGFR-1 and VEGF-A in tumor samples following standardized protocols. Sections of 4 μm thickness were obtained from formalin-fixed paraffin-embedded (FFPE) tumor tissues and mounted on positively charged slides (StarFrost, Knittel, Bielefeld, Germany). Deparaffinization was performed using xylene, followed by antigen retrieval in a high-pH buffer solution (Dako, Carpinteria, CA, United States) using a Pascal pressure chamber (Dako) for 45 min. Endogenous peroxidase activity was blocked by incubation with hydrogen peroxide for 15 min at room temperature. Non-specific protein binding was blocked using skimmed milk (Molico®, Nestlé, Brazil) diluted in distilled water for 40 min at 27 °C in a humidified chamber. Sections were then incubated overnight at 4 °C with the primary antibodies anti-EGFR1 (clone Ab-5/31G7, mouse monoclonal, Thermo Fisher Scientific, United States) and anti-VEGFA (mouse monoclonal, clone VG1, Dako, Unites States), both at a dilution of 1:100 (13, 30). Following primary antibody incubation, slides were washed in phosphate-buffered saline (PBS), and immunostaining was developed using the EnVision™ FLEX/HRP detection system (Dako, Carpinteria, CA, United States) with 3,3′-diaminobenzidine (DAB) as chromogen. Sections were counterstained with hematoxylin, dehydrated, cleared, and coverslipped. Skin samples were used as positive controls for both EGFR1 and the blood cells located in dermis were control for VEGFA, selected based on expression profiles reported in the Human Protein Atlas (31). Negative controls were performed by omitting the primary antibody.
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Immunohistochemical evaluation
Immunohistochemical slides were examined under a light microscope (26 mm diameter; Leica DMLB, HC PLAN 10×/20) at 400 × magnification. As the samples consisted of small incisional biopsies collected before ECT, the available viable tumor tissue was evaluated throughout the section at 400 × magnification, rather than using a predetermined number of high-power fields or a predefined minimum number of neoplastic cells. Areas of necrosis and tissue-processing artifacts were excluded from the assessment. Immunohistochemical scoring was performed by two observers blinded to clinical outcomes, and the final score was assigned by consensus.
EGFR-1 and VEGF-A expression was evaluated in tumor epithelial cells according to staining localization (EGFR-1: membranous and cytoplasmic; VEGF-A: predominantly cytoplasmic). Immunoreactivity scores were calculated semi-quantitatively based on staining intensity and the percentage of positive tumor cells.
For EGFR-1, the percentage of positive tumor cells was scored as 1 (≤10%), 2 (11–30%), 3 (31–60%), or 4 (>60%). Staining intensity was graded as 1, low; 2, moderate; or 3, high. The immunoreactivity score was calculated as the product of the percentage and intensity scores. Tumors with scores ≤2 were classified as negative, whereas positive tumors were further classified as having low (3–5), moderate (6–8), or high (9–12) expression, according to previously published criteria (13).
For VEGF-A, a scoring system adapted from previously published methods (4, 29) was used. The percentage of positive tumor cells was scored as 1 (<10%), 2 (10–25%), 3 (26–50%), or 4 (>50%), while staining intensity was graded as 0 (no staining), 1 (weak), 2 (moderate), or 3 (strong). The final immunoreactivity score was calculated as the sum of the percentage and intensity scores, resulting in a total score ranging from 1 to 7. Tumors were classified as negative (1–3), weakly positive (4, 5), or strongly positive (6, 7).
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Statistical analysis
Statistical analyses were performed using IBM SPSS Statistics version 31.0 (IBM Corp., Armonk, NY, United States). Clinicopathological and ECT-related characteristics were summarized using absolute and relative frequencies. Associations between categorical variables were assessed using the chi-square test or Fisher’s exact test, as appropriate. The correlation between EGFR-1 and VEGF-A immunoreactivity scores was assessed using Spearman’s rank correlation coefficient.
Survival outcomes were estimated using the Kaplan–Meier method and compared between groups using the log-rank test. Disease-free interval (DFI) was calculated from the date of the first ECT session to the date of local recurrence, and was computed exclusively for cats that achieved complete response. Time to progression (TTP) was measured from the first ECT session to evidence of tumor progression, and was computed for cats that achieved complete response or partial response. Overall survival time (OST) corresponded to the interval between the first ECT session and death attributable to cSCC. For all time-to-event endpoints, cats that were lost to follow-up, died from tumor-unrelated causes, or remained alive without evidence of recurrence or progression at study completion were censored at the time of last contact. Statistical significance was set at p < 0.05.
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Results
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Baseline characteristics of the study cohort
A total of 33 cats were included in the study, comprising 24 (72.7%) from the prospective cohort and 9 (27.3%) from the retrospective cohort. One target lesion per cat was selected for analysis based on clinical relevance, resulting in 33 tumor samples available for immunohistochemical evaluation. The distribution of demographic, clinical, histologic and ECT-related variables are summarized in Table 1.
Table 1. Demographic, clinical, histological and treatment-related variables of 33 cats with cutaneous squamous cell carcinoma
| Demographic and clinical variables | n (%) | |
|---|---|---|
| Sex ( n = 33) | Female | 20 (60.6) |
| Male | 13 (39.4) | |
| Age ( n = 33) | Young adult (1–6 years) | 6 (18.2) |
| Mature adult (7–10 years) | 11 (33.3) | |
| Senior (≥11 years) | 16 (48.5) | |
| Coat color ( n = 33) | White | 10 (30.3) |
| Partially white | 23 (69.7) | |
| Number of lesions ( n = 33) | Single | 25 (75.8) |
| Multiple | 8 (24.2) | |
| Anatomic location ( n = 33) | Nasal planum | 17 (51.5) |
| Eyelid | 4 (12.1) | |
| Ear | 5 (15.2) | |
| Temporal | 3 (9.1) | |
| Labial | 2 (6.1) | |
| Mental | 2 (6.1) | |
| Tumor size (cm) ( n = 28) | ≤2.5 | 19 (67.9) |
| >2.5 | 9 (32.1) | |
| Labial extension ( n = 33) | No | 18 (54.5) |
| Yes | 15 (45.5) | |
| Previous cSCC ( n = 33) | No | 24 (72.7) |
| Yes | 9 (27.3) | |
| Growth pattern ( n = 33) | Non-erosive | 15 (45.5) |
| Erosive | 18 (54.5) | |
| T stage ( n = 33) | T1 | 8 (24.2) |
| T2 | 10 (30.3) | |
| T3 | 3 (9.1) | |
| T4 | 12 (36.4) | |
| Histological variables | ||
| Histopathological classification ( n = 33) | Well-differentiated | 6 (18.2) |
| Moderate differentiated | 8 (24.2) | |
| Poorly differentiated | 13 (39.4) | |
| Acantholytic | 5 (15.2) | |
| In situ | 1 (3.0) | |
| Mitotic index ( n = 32) | <7 | 15 (46.9) |
| ≥7 | 17 (53.1) | |
| Depth of invasion ( n = 30) | Superficial (≤2 mm) | 9 (30) |
| Intermediate (3–5 mm) | 14 (46.7) | |
| Deep (>5 mm) | 7 (23.3) | |
| Invasion beyond subcutaneous fat ( n = 25) | No | 17 (68) |
| Yes | 8 (32) | |
| Inflammatory intensity ( n = 32) | Mild | 4 (12.5) |
| Moderate | 15 (46.9) | |
| Intense | 13 (40.6) | |
| Perineural invasion ( n = 24) | No | 12 (50) |
| Yes | 12 (50) | |
| ECT-related variables | ||
| Tumor response ( n = 30) | CR | 24 (80%) |
| PR | 6 (20%) | |
| Local recurrence ( n = 24) | No | 15 (62.5) |
| Yes | 9 (37.5) | |
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Response to electrochemotherapy
Clinical response following ECT was evaluable in 30 of 33 cats (90.9%); three cats were excluded because they did not complete the minimum 30-day follow-up period required for response assessment. The best response achieved during the treatment course was CR in 24 cats (80.0%) and PR in 6 cats (20.0%). Among the 24 cats that achieved CR, 20 (83.3%) achieved CR after a single ECT session, whereas 4 (16.7%) achieved CR after a second ECT session, having shown an initial tumor reduction of ≥90% after the first treatment.
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EGFR-1 and VEGF-A immunoexpression
EGFR-1 positivity was detected in 26 of 33 samples (78.8%), while 7 cases (21.2%) were classified as negative. (Figure 1A) All positive samples (immunoractivity score > 2) exhibited predominantly cytoplasmic EGFR-1 immunoreactivity (Figures 1B,C). Immunoreactivity scores ranged from 0 to 9, with a median score of 6. Among positive cases, 10 (38.5%) showed low-level expression (scores 3–5), 15 (57.7%) showed moderate expression (scores 6–8), and 1 (3.8%) showed high expression (score 9), according to the classification proposed by Sabattini et al. (13).
[图:Representative photomicrographs of EGFR-1 and VEGF-A immunoreactivity in feline cutaneous squamous cell carcinoma. (A) P]
VEGF-A immunostaining was evaluable in 32 of the 33 tumor samples, as one sample could not be assessed due to tissue section detachment from the slide during immunohistochemical processing. VEGF-A immunostaining was positive in 23 of the 32 evaluable samples (71.9%), with 16 (50.0%) classified as weakly positive (scores 4–5) and 7 (21.9%) as strongly positive (scores 6–7; Figures 1D–F). Nine samples (28.1%) were classified as negative (scores 0–3). Immunoreactivity scores ranged from 0 to 7, with a median score of 4.
A significant positive correlation was observed between EGFR-1 and VEGF-A immunoreactivity scores (Spearman’s ρ = 0.692, p < 0.001; n = 32), indicating that higher EGFR-1 scores were associated with higher VEGF-A scores (Figure 2).
[图:Relationship between EGFR-1 and VEGF-A immunoreactivity scores in feline cutaneous squamous cell carcinoma. A significan]
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Clinicopathological associations of EGFR-1 and VEGF-A immunoexpression
The distribution of clinicopathological variables according to EGFR-1 and VEGF-A immunoreactivity is presented in Table 2. EGFR-1 immunoreactivity was significantly associated with PNI (p = 0.047) and intense inflammatory infiltrate (p = 0.045). VEGF-A expression was significantly associated with a previous history of cutaneous squamous cell carcinoma (cSCC; p = 0.038), PNI (p = 0.033), and invasion beyond the subcutaneous fat (p = 0.028).
Table 2. Association between clinicopathological parameters and EGFR and VEGF immunoreactivity in 33 feline cutaneous squamous cell carcinomas.
| Clinicopathological parameters | EGFR expression | p -value | VEGF expression | p -value | |||
|---|---|---|---|---|---|---|---|
| Negative (%) | Positive (%) | Negative (%) | Weakly positive (%) | Strongly positive (%) | |||
| Sex ( n = 33) | |||||||
| F | 5 (15.2) | 15 (45.5) | 0.676 | 6 (18.8) | 10 (31.3) | 3 (9.4) | 0.590 |
| M | 2 (6.1) | 11 (33.3) | 3 (9.4) | 6 (18.8) | 4 (12.5) | ||
| Tumor location ( n = 33) | |||||||
| Ear | 2 (6.1) | 3 (9.1) | 0.767 | 2 (6.3) | 2 (6.3) | 1 (3.1) | 0.565 |
| Eyelid | 1 (3) | 3 (9.1) | 0 (0) | 3 (9.4) | 1 (3.1) | ||
| Labial | 0 (0) | 2 (6.1) | 0 (0) | 1 (3.1) | 1 (3.1) | ||
| Mental region | 0 (0) | 2 (6.1) | 0 (0) | 1 (3.1) | 1 (3.1) | ||
| Nasal plane | 3 (9.1) | 14 (42.4) | 5 (15.6) | 9 (28.1) | 2 (6.3) | ||
| Temporal | 1 (3) | 2 (6.1) | 2 (6.3) | 0 (0) | 1 (3.1) | ||
| Tumor size ( n = 28) | |||||||
| ≤2.5 cm | 4 (14.3) | 15 (53.6) | 1.000 | 4 (14.3) | 12 (42.9( | 3 (10.7) | 0.323 |
| >2.5 cm | 1 (3.6) | 8 (28.6) | 3 (10.7) | 3 (10.7) | 3 (10.7) | ||
| Multiplicity of lesions ( n = 33) | |||||||
| Single lesion | 4 (12.1) | 21 (63.6) | 0.320 | 6 (18.8) | 14 (43.8) | 4 (12.5) | 0.240 |
| Multiple lesions | 3 (9.1) | 5 (15.2) | 3 (9.4) | 2 (6.3) | 3 (9.4) | ||
| Previous cSCC ( n = 33) | |||||||
| No | 7 (21.2) | 17 (51.5) | 0.149 | 9 (28.1) | 11 (34.4) | 3 (9.4) | 0.038 |
| Yes | 0 (0) | 9 (27.3) | 0 (0) | 5 (15.6) | 4 (12.5) | ||
| Labial extension ( n = 33) | |||||||
| No | 5 (15.2) | 13 (39.4) | 0.312 | 5 (15.6) | 9 (28.1) | 4 (12.5) | 0.998 |
| Yes | 2 (6.1) | 13 (39.4) | 4 (12.5) | 7 (21.9) | 3 (9.4) | ||
| Growth pattern ( n = 33) | |||||||
| Non-erosive | 2 (6.1) | 13 (39.4) | 0.413 | 3 (9.4) | 9 (28.1) | 3 (9.4) | 0.529 |
| Erosive | 5 (15.2) | 13 (39.4) | 6 (18.8) | 7 (21.9) | 4 (12.5) | ||
| T stage ( n = 33) | |||||||
| T1 | 1 (3) | 7 (21.2) | 0.629 | 1 (3.1) | 4 (12.5) | 3 (9.4) | 0.364 |
| T2 | 3 (9.1) | 7 (21.2) | 4 (12.5) | 5 (15.6) | 1 (3.1) | ||
| T3 | 0 (0) | 3 (9.1) | 0 (0) | 3 (9.4) | 0 (0) | ||
| T4 | 3 (9.1) | 9 (27.3) | 4 (12.5) | 4 (12.5) | 3 (9.4) | ||
| cSCC classification ( n = 32) | |||||||
| Well-differentiated | 2 (6.3) | 4 (12.5) | 0.766 | 3 (9.7) | 0 (0) | 3 (9.7) | 0.185 |
| Moderately differentiated | 1 (3.1) | 7 (21.9) | 1 (3.2) | 6 (19.4) | 1 (3.2) | ||
| Poorly differentiated | 2 (6.3) | 11 (34.4) | 3 (9.7) | 8 (25.8) | 2 (6.5) | ||
| Acantholytic | 1 (3.1) | 4 (12.5) | 1 (3.2) | 2 (6.5) | 1 (3.2) | ||
| Mitotic index ( n = 32) | |||||||
| ≤6 | 4 (12.5) | 11 (34.4) | 0.383 | 4 (12.9) | 6 (19.4) | 4 (12.9) | 0.650 |
| >6 | 2 (6.3) | 15 (46.9) | 4 (12.9) | 10 (32.3) | 3 (9.7) | ||
| Depth of invasion ( n = 30) | |||||||
| Superficial (≤2 mm) | 1 (3.3) | 8 (26.7) | 0.220 | 3 (10.3) | 3 (10.3) | 3 (10.3) | 0.094 |
| Intermediate (>2 mm–5 mm) | 4 (13.3) | 10 (33.3) | 4 (13.8) | 6 (20.7) | 3 (10.3) | ||
| Deep (>5 mm) | 0 (0) | 7 (23.3) | 0 (0) | 7 (24.1) | 0 (0) | ||
| Invasion beyond subcutaneous fat ( n = 25) | |||||||
| No | 4 (16) | 13 (52) | 1.000 | 6 (25) | 5 (20.8) | 5 (20.8) | 0.028 |
| Yes | 1 (4) | 7 (28) | 0 (0) | 7 (29.2) | 1 (4.2) | ||
| Inflammatory intensity ( n = 32) | |||||||
| Mild (+) | 2 (6.3) | 2 (6.3) | 0.045 | 2 (6.5) | 2 (6.5) | 0 (0) | 0.193 |
| Moderate (++) | 4 (12.5) | 11 (34.4) | 5 (16.1) | 8 (25.8) | 2 (6.5) | ||
| Intense (+++) | 0 (0) | 13 (40.6) | 1 (3.2) | 6 (19.4) | 5 (16.1) | ||
| PerineuraI invasion ( n = 24) | |||||||
| No | 4 (16.7) | 8 (33.3) | 0.047 | 5 (21.7) | 6 (26.1) | 1 (4.3) | 0.033 |
| Yes | 0 (0) | 12 (50) | 0 (0) | 7 (30.4) | 4 (17.4) | ||
| Tumor response ( n = 30) | |||||||
| CR | 6 (20) | 18 (60) | 1.000 | 7 (24.1) | 10 (34.5) | 7 (24.1) | 0.382 |
| PR | 1 (3.3) | 5 (16.7) | 2 (6.9) | 3 (10.3) | 0 (0) | ||
| Local recurrence ( n = 25) | |||||||
| Yes | 5 (20) | 11 (44) | 0.364 | 5 (20.8) | 7 (29.2) | 3 (12.5) | 0.443 |
| No | 1 (4) | 8 (32) | 2 (8.3) | 3 (12.5) | 4 (16.7) | ||
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Survival analysis
Survival analyses included 30 cats, as three cases were excluded because follow-up was less than 30 days after treatment, according to the predefined exclusion criterion. Briefly, at the end of the study period, 13 (43.3%) cats were alive, while 17 (56.7%) had died, either due to tumor progression (11/17, 64.7%) or causes unrelated to the tumor (6/17, 35.3%). Overall median OST was 601 days (95% CI, 180–1,021). Mean DFI was 588 days (95% CI, 405–764) and median TTP was 99 days (95% CI, 73–124).
Kaplan–Meier survival analysis demonstrated that cats with EGFR-positive tumors had significantly shorter survival than those with EGFR-negative tumors (log-rank test, p = 0.033; Figure 3). For VEGF, Kaplan–Meier survival analysis revealed no significant association between VEGF expression and any survival outcome (p > 0.05).
[图:Kaplan–Meier curve comparing survival of the cats based on the EGFR immunohistochemical expression. Subjects with negati]
Additionally, PNI-positive cats showed a significantly shorter survival than those cats negative for PNI (mean OST of 327 vs. 789 days, respectively; p = 0.027, Figure 4).
[图:Kaplan–Meier curve comparing survival of the cats based on the presence of PNI. Subjects with PNI-negative tumors surviv]
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Discussion
The identification of reliable prognostic and predictive biomarkers remains a central challenge in veterinary oncology, and studies evaluating EGFR-1 and VEGF-A expression in feline cSCC are still scarce. Therefore, this prospective-retrospective study aimed to evaluate the immunoexpression of EGFR-1 and VEGF-A in 33 cats with cSCC and their associations with clinicopathological and survival outcomes.
EGFR-1 is a transmembrane tyrosine kinase receptor that dimerizes and autophosphorylates upon ligand binding, triggering a downstream cascade of intracellular signaling pathways that ultimately stimulate the transcription of genes involved in cell proliferation, differentiation, motility, and survival. EGFR-1 may also be detected in the cytoplasm, reflecting its recycling pathway and the dysregulation of receptor processing associated with tumorigenesis (11, 32). In the present study, EGFR-1 positivity was detected in 78.8% (26/33) of cases, consistent with the positivity rate of 74% previously reported in feline cSCC (13), and with the prevalence of EGFR-1 expression reported in human cSCC (11, 33).
EGFR-1 positive immunoexpression was significantly associated with shorter OST. To date, only one published study has investigated the prognostic value of EGFR-1 immunoexpression in feline cSCC, and its findings are consistent with ours, reporting a significant association between EGFR-1 overexpression and reduced survival time (13). Therefore, our results reinforce the potential for EGFR-1 as prognostic markers for cSCC. In human cSCC, although some studies have failed to demonstrate a significant association between EGFR-1 overexpression and adverse outcomes (34, 35), more recent studies have reported significant correlations with tumor progression and metastasis (11). Furthermore, the identification of EGFR-1 overexpression in feline cSCC may also have therapeutic implications, supporting the rationale for investigating anti-EGFR targeted therapies as a potential treatment strategy for cats with EGFR-1–positive tumors.
Recently, some studies have been published on the use of HER2/EGFR inhibitors in cats with cancer (36–38). These studies provide encouraging evidence that targeting the EGFR/HER2 signaling pathway is both feasible and clinically relevant in feline oncology (36–38). In particular, lapatinib has demonstrated acceptable safety and preliminary antitumor activity in naturally occurring feline neoplasms, while preclinical investigations have shown that EGFR-1 inhibition can reduce tumor cell proliferation, enhance radiosensitivity, and potentially overcome resistance mechanisms (36–38). These findings support the rationale for further investigating EGFR-1 and HER2-targeted therapies as precision medicine approaches for cats with EGFR-expressing malignancies.
Perineural invasion (PNI) is defined as the ability of tumor cells to spread into, around, or through the surrounding nerves, and is widely recognized as a relevant prognostic indicator associated with poorer outcomes in human cSCC (39, 40). In feline cSCC, a previous retrospective study evaluating cats treated with ECT found a significant association between PNI and local recurrence; however, its potential association with survival was not investigated (2).
In the present study, EGFR-1 positivity was significantly associated with PNI. This finding is consistent with evidence from human SCC of mucosal origin, in which EGFR-1 expression was significantly associated with PNI, with the vast majority of PNI-positive cases exhibiting EGFR-1 immunoreactivity (41, 42). EGFR signaling has been implicated in PNI through pathways involving tumor-derived neuropeptides, Src kinase activation, MAPK/ERK1/2 signaling, and upregulation of matrix metalloproteinases, as well as paracrine loops between tumor cells and nerve tissue (42, 43). Although comparable data in feline cSCC are lacking, the conservation of EGFR-1 signaling pathways across species supports the biological plausibility of this association.
In the present study, EGFR-1 positivity was significantly associated with intense inflammatory infiltrate, a finding that may be explained by a bidirectional relationship between EGFR-1 signaling and the tumor inflammatory microenvironment. On one hand, EGFR-1 activation drives the expression of pro-inflammatory cytokines and chemokines — including IL-6, TNF, and IL-8 — that actively recruit inflammatory cells to the tumor microenvironment, potentially accounting for the more intense infiltrate observed in EGFR-positive tumors (43). On the other hand, inflammatory mediators may reciprocally amplify EGFR signaling, notably through substance P, which transactivates EGFR-1 via Src kinase, activates the MAPK/ERK1/2 pathway, and further upregulates MMPs and pro-inflammatory molecules (43). This self-reinforcing loop may contribute to the more aggressive biological behavior observed in EGFR-positive tumors in the present study, including the associations with PNI and reduced survival time.
Although EGFR-1 plays an important role in cell differentiation and proliferation, our results failed to demonstrate a significant association between EGFR-1 immunoexpression and mitotic activity or tumor differentiation, consistent with previous findings (13). In contrast, previous studies in humans have reported significantly higher EGFR-1 expression in moderately to poorly differentiated cutaneous and head and neck SCC (11, 44). These conflicting results may be attributable to differences in sample size and the immunohistochemical scoring systems employed across studies.
The development of new blood vessels, also called neoangiogenesis, is a crucial event for tumor development and spread (45). VEGF-A, a heparin-binding growth factor, acts directly on vascular endothelial cells, promoting cell growth, migration, and vascular permeability in physiological and pathological conditions. VEGF-A immunoexpression has been detected in neoplastic keratinocytes of canine and feline and canine cSCC but not in normal skin, and its expression has been significantly associated with disease progression and recurrence (14). Similarly, a subsequent study reported increased VEGF-A immunoexpression in feline cSCC compared to normal skin (6). These findings suggest a potential role of VEGF-driven angiogenesis in the biological behavior of these tumors.
In the present study, VEGF-A immunoexpression was detected in 71.9% of cases, exceeding the 54% previously reported in feline cSCC (14). Literature regarding VEGF-A immunoexpression in feline cSCC is still scarce, and direct comparisons between studies are limited by differences in sample size, antibody clones, and immunohistochemical scoring systems employed. In dogs, VEGF-A has been more widely investigated, with positivity rates ranging from 32 to 100% (14, 46, 47).
Of the clinical variables evaluated in the present study, high VEGF-A immunoexpression was significantly associated with previous history of cSCC. In the present study, the majority of cats with a previous history of cSCC at presentation (6/9; 66.7%) had recurrent tumors, while three (33.3%) had new independent lesions at different sites of the head. The association between high VEGF-A expression and previous history of cSCC may partly reflect clonal selection, whereby surviving tumor cells acquire a progressively more aggressive and pro-angiogenic phenotype. Chronic UV-induced field cancerization may also contribute by upregulating VEGF-A expression in repeatedly damaged tissue, fostering a microenvironment permissive to tumor recurrence. However, these mechanisms remain speculative and warrant further investigation.
Interestingly, high VEGF-A expression was not significantly associated with subsequent tumor recurrence following ECT in the present study, in contrast to the significant association between VEGF-A expression and tumor recurrence previously reported in feline cSCC (14). Differences in treatment modality may have contributed to these findings, as the present study exclusively evaluated cats treated with ECT. Further investigations are warranted to determine whether the prognostic value of VEGF expression differs according to treatment approach.
In the present study, VEGF-A immunoexpression was also significantly associated with PNI. Beyond its role in brain vascularization, VEGF-A plays a key role in neuronal proliferation and survival (48). Reciprocally, nerve growth factor (NGF) and its receptor tyrosine kinase A (TrkA), key mediators of PNI, are able to stimulate endothelial cell migration and proliferation, contributing to the functional maturation of newly formed blood vessels (49, 50). These findings suggest that VEGF-driven angiogenesis and PNI may share common molecular mediators in feline cSCC, although the precise nature of this interaction warrants further investigation.
In the present study, VEGF-A immunoexpression was significantly associated with tumor invasion beyond the subcutaneous fat. However, initial evidence from human cSCC does not consistently support this association. A previous study demonstrated a significant increase in tumor vascular density exclusively in late-stage SCCs infiltrating the subcutaneous tissues, but without corresponding differences in VEGF-A immunoexpression across lesion groups (51). Similarly, another study found no significant correlation between VEGF-A expression and depth of tumor invasion (52). Despite these conflicting findings, we hypothesize that tumors invading deeper tissue compartments may experience greater hypoxia, a well-recognized inducer of VEGF-A upregulation, which could explain the higher VEGF-A immunoexpression observed in these cases. Further studies with larger cohorts are needed to elucidate this association in both feline and human cSCC.
To the authors’ knowledge, this is the first prospective study evaluating VEGF-A immunoexpression in association with overall survival time in cats with cSCC. No significant association was observed between VEGF-A expression and OST, DFI, or TTP. These findings are consistent with those reported by Dos Anjos et al. (47), who likewise found no significant association between VEGF immunoexpression and survival in dogs with cSCC treated with ECT. To date, no studies have evaluated the prognostic significance of VEGF-A expression in human cSCC treated with ECT, limiting direct comparisons with the present findings. In contrast, studies in human mucosal head and neck SCC treated with conventional therapeutic approaches have reported associations between high VEGF-A expression and poorer overall survival (53) as well as shorter disease-free intervals (54). These discrepancies may be related to the more aggressive biological behavior of mucosal SCC and to differences in treatment approaches compared with ECT-treated cutaneous tumors.
In the present study, expression of both EGFR-1 and VEGF-A was significantly associated with PNI. Although VEGF-A had no correlation with survival in the present study, these findings strengths the possible role of these biomarkers as prognostic indicators in feline cSCC. Beyond their potential prognostic value in this species, these biomarkers may also represent biologically relevant comparative biomarkers, further supporting the translational value of naturally occurring feline cSCC as a spontaneous model for human cutaneous squamous cell carcinoma.
Limitations of the present study include the absence of a normal skin control group for comparison, the relatively small sample size, and the inclusion of retrospective cases, which may have contributed to heterogeneity in data collection and follow-up completeness. Additionally, microvascular density was not assessed using endothelial markers such as CD31 or vWF. Therefore, it cannot be determined whether VEGF-A expression was associated with increased microvascular density or reflect functional tumor neoangiogenesis. EGFR-1 and VEGF-A expression was assessed exclusively by immunohistochemistry, without complementary validation using molecular techniques such as Western blotting or RT-qPCR. This lack of orthogonal validation should be considered when interpreting the semi-quantitative expression findings. Further prospective studies with larger cohorts are warranted to confirm our findings and to evaluate the predictive value of EGFR and VEGF-A as potential targets for inhibitor-based therapies in this species.
Acknowledgments
The authors thank all the Vet Cancer and VCLab Pathology team for the support given in data collection.
Funding Statement
The author(s) declared that financial support was received for this work and/or its publication. This study was supported by Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES), Brazil (Process n. 88887.706252/2022-00). The author FQ wants to acknowledge the support received by project UID/00772/2025, DOI https://doi.org/10.54499/UID/00772/2025, from Portuguese Foundation for Science and Tecnhology.
Footnotes
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Data availability statement
The original contributions presented in the study are included in the article. Further inquiries can be directed to the corresponding author.
Ethics statement
The animal studies were approved by the Animal Ethics Committee of Universidade Estadual Paulista (UNESP/FCAV; protocol no. 7726/22). The studies were conducted in accordance with the local legislation and institutional requirements. Written informed consent was obtained from the owners of the animals prospectively enrolled in the study.
Author contributions
LL: Conceptualization, Formal analysis, Investigation, Methodology, Writing – original draft, Writing – review & editing. MR: Conceptualization, Investigation, Resources, Writing – review & editing. KO: Investigation, Resources, Writing – review & editing. CF-A: Investigation, Resources, Validation, Writing – review & editing. FM: Investigation, Writing – review & editing. GB: Investigation, Writing – review & editing. FQ: Data curation, Formal analysis, Funding acquisition, Investigation, Resources, Supervision, Visualization, Writing – review & editing. AN: Conceptualization, Funding acquisition, Investigation, Resources, Supervision, Visualization, Writing – review & editing.
Conflict of interest
Author KO was employed by company VCLab Pathology.
The remaining author(s) declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Generative AI statement
The author(s) declared that Generative AI was not used in the creation of this manuscript.
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References
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Associated Data
Data Availability Statement
The original contributions presented in the study are included in the article. Further inquiries can be directed to the corresponding author.
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