Donizy Piotr, Kaczorowski Maciej, Halon Agnieszka, Leskiewicz Marek, Kozyra Cyprian, Matkowski Rafal
Departments of Pathomorphology and Oncological Cytology, Wroclaw Medical University, Wroclaw, Poland
Departments of Pathomorphology and Oncological Cytology, Wroclaw Medical University, Wroclaw, Poland.
Anticancer Res. 2015 Jan;35(1):351-8.
BACKGROUND/AIM: Tumor infiltrating lymphocytes (TILs) have been a subject of growing scientific interest; however, a full picture of their role in cancer pathogenesis is still unclear. The present study aimed to reveal correlations between TIL grade and clinicopathological features, especially 5-year survival parameters in cutaneous malignant melanoma (CMM) patients.
Presence of TILs was assessed by hematoxylin and eosin staining in routine diagnostic histopathological specimens from 104 patients with cutaneous melanoma.
In the entire group of 104 patients, decreasing TIL intensity was a highly negative prognostic factor and indicated considerably shorter overall survival (OS), cancer-specific overall survival (CSOS) and disease-free survival (DFS). We also report on a significant association between decreased TIL intensity and worse prognosis in lymph node-negative patients. Shorter survival (p=0.002 for OS, p=0.038 for CSOS and p=0.011 for DFS) was observed in patients with negative sentinel lymph node biopsies (SLNB), as well as in patients with lack of metastases in regional lymph nodes (p=0.034 for OS, p<0.001 for CSOS and DFS).
Our results indicate that TIL grade is a valuable diagnostic parameter that may be helpful in risk stratification in CMM.
背景/目的:肿瘤浸润淋巴细胞(TILs)一直是科学研究中日益关注的主题;然而,其在癌症发病机制中的作用全貌仍不清楚。本研究旨在揭示TIL分级与临床病理特征之间的相关性,尤其是皮肤恶性黑色素瘤(CMM)患者的5年生存参数。
通过苏木精和伊红染色,对104例皮肤黑色素瘤患者的常规诊断组织病理学标本中TILs的存在情况进行评估。
在104例患者的整个队列中,TIL强度降低是一个高度负面的预后因素,表明总生存期(OS)、癌症特异性总生存期(CSOS)和无病生存期(DFS)明显缩短。我们还报告了TIL强度降低与淋巴结阴性患者预后较差之间存在显著关联。前哨淋巴结活检(SLNB)阴性的患者以及区域淋巴结无转移的患者生存期较短(OS,p = 0.002;CSOS,p = 0.038;DFS,p = o.011),区域淋巴结无转移的患者也是如此(OS,p = 0.034;CSOS和DFS,p<0.001)。
我们的结果表明,TIL分级是一个有价值的诊断参数,可能有助于CMM的风险分层。