CELL INTELLIGENCE · 肿瘤细胞治疗研究
肿瘤细胞治疗研究
英文原题:An Open Source Automated Tumor Infiltrating Lymphocytes Algorithm for Prognosis in Primary Small Bowel Adenocarcinoma Using Routine Hematoxylin and Eosin Stained Sections.
An Open Source Automated Tumor Infiltrating Lymphocytes Algorithm for Prognosis in Primary Small Bowel Adenocarcinoma Using Routine Hematoxylin and Eosin Stained Sections.
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本研究首次利用数字病理学客观量化了 SBA 这一罕见肿瘤中的 TIL,并探讨了 TIL 在 SBA 中潜在的预后意义。TIL 相关参数显示出提示性趋势,值得在更大规模的独立队列中验证。这些发现为未来研究阐明 TIL 在 SBA 中的作用提供了基础。
虽然TIL(肿瘤浸润淋巴细胞)(TILs)在多种癌症中具有预后意义,但其在小肠腺癌(SBA)中的作用尚未被探索。本研究评估了数字量化TILs在SBA中的预后意义。
使用数字病理学(QuPath)对62例SBA病例的苏木精-伊红(H&E)染色切片进行分析,我们量化了肿瘤细胞、TILs(淋巴细胞和浆细胞)以及间质成分。衍生变量(eTILs、etTILs、esTILs、eaTILs、sTILs、iTILs、easTILs和肿瘤-间质比[TSR])与临床病理特征和生存期进行相关性分析。为校正所有统计检验中的多重比较,采用了错误发现率(FDR)校正。
若干 TIL 相关参数与临床病理特征显示出提示性关联(p < 0.05),但经 FDR 校正后均不再显著。在单因素生存分析中,M 分期和 TNM 分期与无病生存期(DFS)强相关,且经 FDR 校正后仍具有高度显著性(两者 q < 0.001)。关于 TIL 相关参数,较高的 eTILs(p = 0.028)和 iTILs(p = 0.032)在单因素分析中与总生存期(OS)延长显示出提示性关联,较高的 iTILs 也与 DFS 显示出提示性关联(p = 0.045);然而,这些关联经 FDR 校正后均不再显著。在多因素分析中,M 分期和 TNM 分期被确认为 DFS 的独立预后因素,而 eTILs(p = 0.099)和肿瘤沉积(p = 0.055)显示出独立预后意义的趋势,但未达到统计学显著性。
While tumor-infiltrating lymphocytes (TILs) are prognostic in various cancers, their role in small bowel adenocarcinoma (SBA) is unexplored. This study evaluates the prognostic significance of digitally quantified TILs in SBA.
Using digital pathology (QuPath) on hematoxylin and eosin (H&E)-stained slides from 62 SBA cases, we quantified tumor cells, TILs (lymphocytes & plasma cells), and stromal components. Derived variables (eTILs, etTILs, esTILs, eaTILs, sTILs, iTILs, easTILs, and tumor-stroma ratio [TSR]) were correlated with clinicopathological features and survival. To account for multiple comparisons across all statistical tests, false discovery rate (FDR) correction was applied.
Several TIL-related parameters showed suggestive associations with clinicopathological features (p < 0.05), though none remained significant after FDR correction. In univariate survival analysis, M stage and TNM stage were strongly associated with disease-free survival (DFS) and remained highly significant after FDR correction (both q < 0.001). Regarding TIL-related parameters, higher eTILs (p = 0.028) and iTILs (p = 0.032) showed suggestive associations with prolonged overall survival (OS) in univariate analysis, and higher iTILs also showed a suggestive association with DFS (p = 0.045); however, none of these associations remained significant after FDR correction. In multivariate analysis, M stage and TNM stage were confirmed as independent prognostic factors for DFS, while eTILs (p = 0.099) and tumor deposit (p = 0.055) showed trends toward independent prognostic significance without reaching statistical significance.
This study, for the first time, objectively quantifies TILs in SBA, a rare tumor, using digital pathology and explores the potential prognostic significance of TILs in SBA. TIL-related parameters demonstrate suggestive trends that warrant validation in larger, independent cohorts. These findings provide a foundation for future studies to clarify the role of TILs in SBA.
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