Lineage tracking reveals dynamic relationships of T cells in colorectal cancer

Zhang, Lei; Yu, Xin; Zheng, Liangtao; Zhang, Yuanyuan; Li, Yansen; Qiao, Fang; Gao, Ranran; Kang, Boxi; Zhang, Qiming; Huang, Julie Y.; Konno, Hiroyasu; Guo, Xinyi; Ye, Yingjiang; Gao, Songyuan; Wang, Shan; Hu, Xueda; Ren, Xianwen; Shen, Zhanlong; Ouyang, Wenjun

doi:10.1038/s41586-018-0694-x

Cited by 928 publications

(1,094 citation statements)

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“…Nowadays, inflammation has been identified to be a hallmark of cancer and the critical role of inflammation components in glioma was a well‐established concept . Macrophages, T lymphocytes, and neutrophils were the important infiltrative inflammation cells in glioma microenvironment which could suppress or promote tumor progression …”

Section: Introductionmentioning

confidence: 99%

Peripheral blood test provides a practical method for glioma evaluation and prognosis prediction

et al. 2019

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Summary Objective To investigate the relationship between tumor characteristics and the preoperative counts of immune cells in peripheral blood test in glioma patients. Methods We included 260 WHO grades II‐IV patients who had preoperative peripheral blood test result from Sanbo hospital as training set. The 66 patients from Tiantan hospital was obtained for validation. RNA sequencing data from CGGA and TCGA datasets were used to evaluate the features of neutrophil subtype and lymphocyte subtype in glioma. Results We revealed that the count of preoperative lymphocytes, eosinophils and neutrophils were associated with glioma grades. Neutrophil‐to‐lymphocyte ratio (NLR) <3.2 was associated with better prognosis, whereas increased NLR was strongly corresponding with a poor prognosis. Lymphocyte type glioma patients demonstrated a positive correlation with isocitrate dehydrogenase (IDH) mutation and lower grade. IDH mutant glioma contained a higher proportion of tumor‐infiltrating lymphocytes than IDH wild‐type glioma. The immune subtype (neutrophil subtype and lymphocyte subtype) was an independent prognostic factor in glioma. Conclusion Our data demonstrated that NLR was an important prognostic factor in glioma. We classified that the immune subtype of glioma may contribute to a better understanding of disease pathogenesis and lead to the identification of new therapeutic targets for glioma patients.

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Section: Introductionmentioning

confidence: 99%

Peripheral blood test provides a practical method for glioma evaluation and prognosis prediction

et al. 2019

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“…Notably, single‐cell‐derived transcriptomic signatures of the T RM cell cluster were found to identify BC patients with significantly improved prognosis. Another similar single T‐cell analysis in CRC also showed diverse T‐cell subsets, where clonal T H 1‐like T cells were enriched in MSI tumors and likely accounted for their positive response towards immunotherapy . Collectively, these results show how understanding the TME at single‐cell resolution could open new avenues for identifying distinct patient subsets of prognostic or therapeutic significance.…”

Section: Confounding Layers Of Complexities Underlie Gc Classificationmentioning

confidence: 62%

Dissection of gastric cancer heterogeneity for precision oncology

Tan

2019

Cancer Science

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Gastric cancer (GC) remains the fifth most prevalent cancer worldwide and the third leading cause of global cancer mortality. Comprehensive ‐omic studies have unveiled a heterogeneous GC landscape, with considerable molecular diversity both between and within tumors. Given the complex nature of GC, a long‐sought goal includes effective identification of distinct patient subsets with prognostic and/or predictive outcomes to enable tailoring of specific treatments (“precision oncology”). In this review, we highlight various approaches to molecular classification in GC, covering recent genomic, transcriptomic, proteomic and epigenomic features. We pay special attention to the translational significance of classifier systems and examine potential confounding factors which deserve further investigation. In particular, we discuss recent advancements in our knowledge of intra‐subtype, intra‐patient and intra‐tumor heterogeneity, and the pivotal role of the tumor stromal microenvironment.

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“…The subsequent study further reported a transitional population that gives rise to dysfunctional CD8 + T cells with highly similar transcriptional signature among different human cancer . In addition, the combined transcriptome analysis with TCR tracking by scRNA‐seq is used to study T cell populations in liver cancer, non‐small‐cell lung cancer (NSCLC), and colorectal cancer . Basing on this protocol, MAIT cells was found to be significantly reduced, while the exhausted T cells and Tregs were increased significantly in tumors.…”

Section: Application Of Scrna‐seq In Immunologymentioning

confidence: 99%

Dissecting the human immune system with single cell RNA sequencing technology

Liu

et al. 2019

Journal of Leukocyte Biology

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Single‐cell RNA sequencing (scRNA‐seq) is a powerful new technology allowing the analysis of transcriptomes from individual cell and is ideally suited to dissect immune cell heterogeneity. ScRNA‐seq has already been applied to identify novel immune cell subsets, elaborate cellular differentiation trajectories, and elucidate immunopathogenic mechanisms. Here, we briefly discuss the recent progresses and challenges in the scRNA‐seq technology including the workflow, recent applications in immunology, and potential hurdles that need to be overcome. This review will highlight how single cell technology promotes our understanding of human immunology.

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Lineage tracking reveals dynamic relationships of T cells in colorectal cancer

Cited by 928 publications

References 50 publications

Peripheral blood test provides a practical method for glioma evaluation and prognosis prediction

Peripheral blood test provides a practical method for glioma evaluation and prognosis prediction

Dissection of gastric cancer heterogeneity for precision oncology

Dissecting the human immune system with single cell RNA sequencing technology

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