Integrated multi-omic analysis unravels the characteristics of the metabolism-related intratumoral microbes and establishes a novel signature for predicting prognosis and therapeutic response in lung adenocarcinoma

This study identified intratumoral microbes associated with metabolism, revealed distinct subtypes and their roles in LUAD, and established a predictive signature for the prognosis and therapeutic responsiveness of LUAD.

Authors

Institutions

Publication Details

Journal
Translational Cancer Research
Published
2025-10-01
DOI
https://doi.org/10.21037/tcr-2025-357
Primary Topic
Lung Cancer Treatments and Mutations
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Integrated multi-omic analysis unravels the characteristics of the metabolism-related intratumoral microbes and establishes a novel signature for predicting prognosis and therapeutic response in lung adenocarcinoma

Yixuan Dai, Yueguang Liu, Huan Liu, Mei Long et al.
Translational Cancer Research
Lung Cancer Treatments and Mutations
article

Integrated multi-omic analysis unravels the characteristics of the metabolism-related intratumoral microbes and establishes a novel signature for predicting prognosis and therapeutic response in lung adenocarcinoma

Yixuan Dai, Yueguang Liu, Huan Liu, Mei Long, Lei Zhang
article en

Abstract

This study identified intratumoral microbes associated with metabolism, revealed distinct subtypes and their roles in LUAD, and established a predictive signature for the prognosis and therapeutic responsiveness of LUAD.

Translational Cancer ResearchVol. 14(10)
Shaanxi Normal University (CN)
Openalex Percentile: Top 54%
Lung Cancer Treatments and Mutations
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.