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Dissecting transcriptional heterogeneity in primary gastric adenocarcinoma by single cell RNA sequencing.
Zhang, Min; Hu, Shuofeng; Min, Min; Ni, Yanli; Lu, Zheng; Sun, Xiaotian; Wu, Jiaqi; Liu, Bing; Ying, Xiaomin; Liu, Yan.
Afiliação
  • Zhang M; Academy of Military Medical Sciences, Beijing, China.
  • Hu S; The Fifth Medical Center of Chinese PLA General Hospital, Beijing, China.
  • Min M; Academy of Military Medical Sciences, Beijing, China.
  • Ni Y; Center for Computational Biology, Institute of Military Cognition and Brain Sciences, Academy of Military Medical Sciences, Beijing, China.
  • Lu Z; The Fifth Medical Center of Chinese PLA General Hospital, Beijing, China.
  • Sun X; The Fifth Medical Center of Chinese PLA General Hospital, Beijing, China.
  • Wu J; The Fifth Medical Center of Chinese PLA General Hospital, Beijing, China.
  • Liu B; The Fifth Medical Center of Chinese PLA General Hospital, Beijing, China.
  • Ying X; Department of internal medicine, Beijing South Medical District of Chinese PLA General Hospital, Beijing, China.
  • Liu Y; Academy of Military Medical Sciences, Beijing, China.
Gut ; 70(3): 464-475, 2021 03.
Article em En | MEDLINE | ID: mdl-32532891
ABSTRACT

OBJECTIVE:

Tumour heterogeneity represents a major obstacle to accurate diagnosis and treatment in gastric adenocarcinoma (GA). Here, we report a systematic transcriptional atlas to delineate molecular and cellular heterogeneity in GA using single-cell RNA sequencing (scRNA-seq).

DESIGN:

We performed unbiased transcriptome-wide scRNA-seq analysis on 27 677 cells from 9 tumour and 3 non-tumour samples. Analysis results were validated using large-scale histological assays and bulk transcriptomic datasets.

RESULTS:

Our integrative analysis of tumour cells identified five cell subgroups with distinct expression profiles. A panel of differentiation-related genes reveals a high diversity of differentiation degrees within and between tumours. Low differentiation degrees can predict poor prognosis in GA. Among them, three subgroups exhibited different differentiation grade which corresponded well to histopathological features of Lauren's subtypes. Interestingly, the other two subgroups displayed unique transcriptome features. One subgroup expressing chief-cell markers (eg, LIPF and PGC) and RNF43 with Wnt/ß-catenin signalling pathway activated is consistent with the previously described entity fundic gland-type GA (chief cell-predominant, GA-FG-CCP). We further confirmed the presence of GA-FG-CCP in two public bulk datasets using transcriptomic profiles and histological images. The other subgroup specifically expressed immune-related signature genes (eg, LY6K and major histocompatibility complex class II) with the infection of Epstein-Barr virus. In addition, we also analysed non-malignant epithelium and provided molecular evidences for potential transition from gastric chief cells into MUC6+TFF2+ spasmolytic polypeptide expressing metaplasia.

CONCLUSION:

Altogether, our study offers valuable resource for deciphering gastric tumour heterogeneity, which will provide assistance for precision diagnosis and prognosis.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Gástricas / Adenocarcinoma / Análise de Sequência de RNA / Análise de Célula Única Limite: Humans Idioma: En Revista: Gut Ano de publicação: 2021 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Gástricas / Adenocarcinoma / Análise de Sequência de RNA / Análise de Célula Única Limite: Humans Idioma: En Revista: Gut Ano de publicação: 2021 Tipo de documento: Article País de afiliação: China