Genomic and immune heterogeneity of multiple synchronous lung adenocarcinoma at different developmental stages

Multiple synchronous lung cancers (MSLCs) constitute a unique subtype of lung cancer. To explore the genomic and immune heterogeneity across different pathological stages of MSLCs, we analyse 16 MSLCs from 8 patients using single-cell RNA-seq, single-cell TCR sequencing, and bulk whole-exome sequencing. Our investigation indicates clonally independent tumours with convergent evolution driven by shared driver mutations. However, tumours from the same individual exhibit few shared mutations, indicating independent origins. During the transition from pre-invasive to invasive adenocarcinoma, we observe a shift in T cell phenotypes characterized by increased Treg cells and exhausted CD8<sup>+</sup> T cells, accompanied by diminished cytotoxicity. Additionally, invasive adenocarcinomas exhibit greater neoantigen abundance and a more diverse TCR repertoire, indicating heightened heterogeneity. In summary, despite having a common genetic background and environmental exposure, our study emphasizes the individuality of MSLCs at different stages, highlighting their unique genomic and immune characteristics.

Authors

Institutions

Publication Details

Journal
Nature Communications
Published
2024-09-10
DOI
https://doi.org/10.1038/s41467-024-52139-2
Citations
12
Primary Topic
Cancer Genomics and Diagnostics
Type
article
Field-Weighted Citation Impact
3.42

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Genomic and immune heterogeneity of multiple synchronous lung adenocarcinoma at different developmental stages

Fanfan Fan, Kevin Litchfield, Hui Yuan, Roberto Vendramin et al.
12 citations
Nature Communications
Cancer Genomics and Diagnostics
3.42
article

Genomic and immune heterogeneity of multiple synchronous lung adenocarcinoma at different developmental stages

Fanfan Fan, Kevin Litchfield, Hui Yuan, Roberto Vendramin, Mou Zhang, Ran Guo, Marcellus Augustine, Jiaqing Xiang, Danwen Qian, Chao Cheng, Shiyue Zhang, Yicong Lin, Fangqiu Fu, Jun Shang, Yueren Yan, Jian Gao, Yunjian Pan, Qingyuan Huang, Han Han, Yang Zhang, Jun Wang, Qiming Wang, Yue Zhao, Ting Ye, Haiquan Chen, Yihua Sun, Hong Hu, Zhiwei Cao, Yuan Li, Haiqing Chen, Zhendong Gao, Shanila Fernandez Patel, Yawei Zhang, Hang Li
article en
12 citations

Abstract

Multiple synchronous lung cancers (MSLCs) constitute a unique subtype of lung cancer. To explore the genomic and immune heterogeneity across different pathological stages of MSLCs, we analyse 16 MSLCs from 8 patients using single-cell RNA-seq, single-cell TCR sequencing, and bulk whole-exome sequencing. Our investigation indicates clonally independent tumours with convergent evolution driven by shared driver mutations. However, tumours from the same individual exhibit few shared mutations, indicating independent origins. During the transition from pre-invasive to invasive adenocarcinoma, we observe a shift in T cell phenotypes characterized by increased Treg cells and exhausted CD8<sup>+</sup> T cells, accompanied by diminished cytotoxicity. Additionally, invasive adenocarcinomas exhibit greater neoantigen abundance and a more diverse TCR repertoire, indicating heightened heterogeneity. In summary, despite having a common genetic background and environmental exposure, our study emphasizes the individuality of MSLCs at different stages, highlighting their unique genomic and immune characteristics.

Nature CommunicationsVol. 15(1)
Shanghai Medical College of Fudan University (CN), Sichuan University (CN), Fudan University (CN), Cancer Research UK (GB), London Cancer (GB), West China Hospital of Sichuan University (CN), Fudan University Shanghai Cancer Center (CN), Shanghai Institutes for International Studies (CN), CRUK Lung Cancer Centre of Excellence (GB), University College London (GB)
National Natural Science Foundation of China, Fudan University
Zero hunger
Openalex Percentile: Top 7%
Cancer Genomics and Diagnostics
3.42
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.