A multi-omics features-based approach integrating immunogenicity and inflammation enhances immunotherapy benefit in clear cell renal cell carcinoma

We propose a TIs-ML prediction model based on multi-omics features that can effectively predict ICB treatment response in ccRCC patients. The model integrates inflammatory and immune features, and its high generalization ability was validated in multiple cohorts. Overall, the TIs-ML approach provides a novel method for guiding precise immunotherapy in ccRCC.

Authors

Institutions

Publication Details

Journal
Frontiers in Cell and Developmental Biology
Published
2026-01-20
DOI
https://doi.org/10.3389/fcell.2025.1596719
Primary Topic
Single-cell and spatial transcriptomics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A multi-omics features-based approach integrating immunogenicity and inflammation enhances immunotherapy benefit in clear cell renal cell carcinoma

N. Q. Wang, Zhihua Pei, Hailong Hao, Yiqun Zhang et al.
Frontiers in Cell and Developmental Biology
Single-cell and spatial transcriptomics
article

A multi-omics features-based approach integrating immunogenicity and inflammation enhances immunotherapy benefit in clear cell renal cell carcinoma

N. Q. Wang, Zhihua Pei, Hailong Hao, Yiqun Zhang, Feng Han, Yanfeng Xue, Zhen Chen, Ling Liu
article en

Abstract

We propose a TIs-ML prediction model based on multi-omics features that can effectively predict ICB treatment response in ccRCC patients. The model integrates inflammatory and immune features, and its high generalization ability was validated in multiple cohorts. Overall, the TIs-ML approach provides a novel method for guiding precise immunotherapy in ccRCC.

Frontiers in Cell and Developmental BiologyVol. 13
Tongji University (CN), Fujian Medical University (CN), Harbin Medical University (CN), Xiamen University (CN), Huazhong Agricultural University (CN), Shanxi Provincial Cancer Hospital (CN), Second Affiliated Hospital of Fujian Medical University (CN), Cancer Hospital of Chinese Academy of Medical Sciences (CN)
Good health and well-being
Openalex Percentile: Top 84%
Single-cell and spatial transcriptomics
DOIOpen Access PDFOpenAlex
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.

A multi-omics features-based approach integrating immunogenicity and inflammation enhances immunotherapy benefit in clear cell renal cell carcinoma — N. Q. Wang, Zhihua Pei, et al. · Frontiers in Cell and Developmental Biology (2026) | TGRS Research Map | TGRS