Zhao Wei, Zhu Bin, Hutchinson Amy, Pesatori Angela Cecilia, Consonni Dario, Caporaso Neil E, Zhang Tongwu, Wang Difei, Shi Jianxin, Landi Maria Teresa
Integrative Tumor Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, MD, USA.
Biostatistics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, MD, USA.
J Natl Cancer Inst. 2022 Feb 7;114(2):280-289. doi: 10.1093/jnci/djab157.
Immune cell transcriptome signatures have been widely used to study the lung tumor microenvironment (TME). However, it is unclear to what extent the immune cell composition in the lung TME varies across histological and molecular subtypes (intertumor heterogeneity [inter-TH]) and within tumors (intratumor heterogeneity [ITH]) and whether ITH has any prognostic relevance.
Using RNA sequencing in 269 tumor samples from 160 lung cancer patients, we quantified the inter-TH of immune gene expression and immune cell abundance and evaluated the association of median immune cell abundance with clinical and pathological features and overall survival. In 39 tumors with 132 multiregion samples, we also analyzed the ITH of immune cell abundance in relation to overall survival using a variance-weighted multivariate Cox model not biased by the number of samples per tumor.
Substantial inter-TH of 14 immune cell types was observed even within the same histological and molecular subtypes, but early stage tumors had higher lymphocyte infiltration across all tumor types. In multiregion samples, an unbiased estimate of low ITH of overall immune cell composition (hazard ratio [HR] = 0.40, 95% confidence interval [CI] = 0.21 to 0.78; P = .007), dendritic cells (HR = 0.24, 95% CI = 0.096 to 0.58; P = .002), and macrophages (HR = 0.50, 95% CI = 0.30 to 0.84; P = .009) was strongly associated with poor survival. The ITH of 3 markers, including CD163 and CD68 (macrophages) and CCL13 (dendritic cells), was enough to characterize the ITH of the corresponding immune cell abundances and its association with overall survival.
This study suggests that lack of immune cell diversity may facilitate tumor evasion and progression. ITH inferred from CCL13, CD163, and CD68 could be used as a prognostic tool in clinical practice.
免疫细胞转录组特征已被广泛用于研究肺肿瘤微环境(TME)。然而,尚不清楚肺TME中的免疫细胞组成在组织学和分子亚型之间(肿瘤间异质性[inter-TH])以及肿瘤内部(肿瘤内异质性[ITH])的变化程度,以及ITH是否具有任何预后相关性。
我们对160例肺癌患者的269个肿瘤样本进行RNA测序,定量免疫基因表达和免疫细胞丰度的肿瘤间异质性,并评估免疫细胞丰度中位数与临床和病理特征及总生存期的关联。在39个肿瘤的132个多区域样本中,我们还使用不受每个肿瘤样本数量偏倚的方差加权多变量Cox模型分析了免疫细胞丰度的ITH与总生存期的关系。
即使在相同的组织学和分子亚型内,也观察到14种免疫细胞类型存在显著的肿瘤间异质性,但在所有肿瘤类型中,早期肿瘤的淋巴细胞浸润更高。在多区域样本中,总体免疫细胞组成(风险比[HR]=0.40,95%置信区间[CI]=0.21至0.78;P=0.007)、树突状细胞(HR=0.24,95%CI=0.096至0.58;P=0.002)和巨噬细胞(HR=0.50,95%CI=0.30至0.84;P=0.009)的低ITH的无偏估计与不良生存密切相关。包括CD163和CD68(巨噬细胞)以及CCL13(树突状细胞)在内的3种标志物的ITH足以表征相应免疫细胞丰度的ITH及其与总生存期的关联。
本研究表明免疫细胞多样性的缺乏可能促进肿瘤逃逸和进展。从CCL13、CD163和CD68推断的ITH可在临床实践中用作预后工具。