Liu Wei, Ye Hua, Liu Ying-Fu, Xu Chao-Qun, Zhong Yue-Xian, Tian Tian, Ma Shi-Wei, Tao Huan, Li Ling, Xue Li-Chun, He Hua-Qin
School of Life Sciences, Fujian Agriculture and Forestry University, Fuzhou, Fujian 350002, P.R. China.
Department of Pathology, Human Centrifuge Medical Training Center, Institute of Aviation Medicine of Chinese PLA Air Force, Beijing 100089, P.R. China.
Oncol Lett. 2018 Apr;15(4):4351-4357. doi: 10.3892/ol.2018.7855. Epub 2018 Jan 25.
The stromal and immune cells that form the tumor microenvironment serve a key role in the aggressiveness of tumors. Current tumor-centric interpretations of cancer transcriptome data ignore the roles of stromal and immune cells. The aim of the present study was to investigate the clinical utility of stromal and immune cells in tissue-based transcriptome data. The 'Estimation of STromal and Immune cells in MAlignant Tumor tissues using Expression data' (ESTIMATE) algorithm was used to probe diverse cancer datasets and the fraction of stromal and immune cells in tumor tissues was scored. The association between the ESTIMATE scores and patient survival data was asessed; it was indicated that the two scores have implications for patient survival, metastasis and recurrence. Analysis of a colorectal cancer progression dataset revealed that decreased levels immune cells could serve an important role in cancer progression. The results of the present study indicated that trasncriptome-derived stromal and immune scores may be a useful indicator of cancer prognosis.
构成肿瘤微环境的基质细胞和免疫细胞在肿瘤的侵袭性中起关键作用。当前以肿瘤为中心对癌症转录组数据的解读忽略了基质细胞和免疫细胞的作用。本研究的目的是探讨基质细胞和免疫细胞在基于组织的转录组数据中的临床应用价值。使用“利用表达数据估计恶性肿瘤组织中的基质细胞和免疫细胞”(ESTIMATE)算法探究各种癌症数据集,并对肿瘤组织中基质细胞和免疫细胞的比例进行评分。评估了ESTIMATE评分与患者生存数据之间的关联;结果表明这两个评分对患者的生存、转移和复发具有影响。对结直肠癌进展数据集的分析显示,免疫细胞水平降低可能在癌症进展中起重要作用。本研究结果表明,转录组衍生的基质细胞和免疫评分可能是癌症预后的有用指标。