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Spatial multi-omics revealed the impact of tumor ecosystem heterogeneity on immunotherapy efficacy in patients with advanced non-small cell lung cancer treated with bispecific antibody.

Xinyu Song | Anwen Xiong | Fengying Wu | Xuefei Li | Jing Wang | Tao Jiang | Peixin Chen | Xiaoshen Zhang | Zhikai Zhao | Huifang Liu | Lei Cheng | Chao Zhao | Zhehai Wang | Chaohu Pan | Xiaoli Cui | Ting Xu | Haitao Luo | Caicun Zhou
Journal for immunotherapy of cancer | 2023

Immunotherapy for malignant tumors has made great progress, but many patients do not benefit from it. The complex intratumoral heterogeneity (ITH) hindered the in-depth exploration of immunotherapy. Conventional bulk sequencing has masked intratumor complexity, preventing a more detailed discovery of the impact of ITH on treatment efficacy. Hence, we initiated this study to explore ITH at the multi-omics spatial level and to seek prognostic biomarkers of immunotherapy efficacy considering the presence of ITH.

Pubmed ID: 36854570

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This is a list of tools and resources that we have found mentioned in this publication.


edgeR (tool)

RRID:SCR_012802

Bioconductor software package for Empirical analysis of Digital Gene Expression data in R. Used for differential expression analysis of RNA-seq and digital gene expression data with biological replication.

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GENCODE (tool)

RRID:SCR_014966

Human and mouse genome annotation project which aims to identify all gene features in the human genome using computational analysis, manual annotation, and experimental validation.

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