4.8 Article

Single-cell dissection of intratumoral heterogeneity and lineage diversity in metastatic gastric adenocarcinoma

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NATURE MEDICINE
卷 27, 期 1, 页码 141-+

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NATURE PORTFOLIO
DOI: 10.1038/s41591-020-1125-8

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资金

  1. UT MD Anderson Cancer Center (MDACC)
  2. Andrew Sabin Family Fellowship Program
  3. Andrew Sabin Family Foundation
  4. DOD [CA150334, CA160445, CA160433, CA170906]
  5. Schecter Private Foundation
  6. Rivercreek Foundation
  7. Kevin Fund
  8. Myer Fund
  9. V. Foundation
  10. Dio Fund
  11. Milrod Fund
  12. NIH [1S10OD024977-01]
  13. Advanced Technology Genomics Core (ATGC) [CA016672]
  14. Stupid Strong Foundation

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The study investigated intratumoral heterogeneity (ITH) in peritoneal carcinomatosis of gastric cancer patients through single-cell transcriptome profiling, revealing significant correlations between ITH and patient survival. By analyzing the diversity in tumor cell lineage/state compositions, researchers identified a prognostic signature that could be practical for patient stratification.
Intratumoral heterogeneity (ITH) is a fundamental property of cancer; however, the origins of ITH remain poorly understood. We performed single-cell transcriptome profiling of peritoneal carcinomatosis (PC) from 15 patients with gastric adenocarcinoma (GAC), constructed a map of 45,048 PC cells, profiled the transcriptome states of tumor cell populations, incisively explored ITH of malignant PC cells and identified significant correlates with patient survival. The links between tumor cell lineage/state compositions and ITH were illustrated at transcriptomic, genotypic, molecular and phenotypic levels. We uncovered the diversity in tumor cell lineage/state compositions in PC specimens and defined it as a key contributor to ITH. Single-cell analysis of ITH classified PC specimens into two subtypes that were prognostically independent of clinical variables, and a 12-gene prognostic signature was derived and validated in multiple large-scale GAC cohorts. The prognostic signature appears fundamental to GAC carcinogenesis and progression and could be practical for patient stratification. Single-cell analysis of gastric cancer samples tracks the cell of origin of metastatic lesions and identifies an independent prognostic signature of the clinical outcome.

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