Evidence map›Paper›PMID 40457349›Full record

ArticleRespiratory research2025

Multi-omics unveils BCAA metabolism markers L-leucine and HMGCS1 as prognostic marker for immunotherapy efficacy in non-small cell lung cancer.

Liyuan Dai, Xinzheng Wang, Ning Lou, Lin Li, Liling Huang, Le Tang, Jiarui Yao, Yuankai Shi, Xiaohong Han

Abstract read
In one paragraph

Article in Respiratory research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Liyuan DaiDepartment of Medical Oncology, Beijing Key Laboratory of Key Technologies for Early Clinical Trial Evaluation of Innovative Drugs for Major Diseases, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, No. 17 Panjiayuan Nanli, Chaoyang District, Beijing, 100021, China.
Xinzheng WangClinical Pharmacology Research Center, NMPA Key Laboratory for Clinical Research and Evaluation of Drug, Beijing Key Laboratory of Key Technologies for Early Clinical Trial Evaluation of Innovative Drugs for Major Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, No.1, Shuaifuyuan, Dongcheng District, Beijing, 100730, China.
Ning LouDepartment of Medical Oncology, Beijing Key Laboratory of Key Technologies for Early Clinical Trial Evaluation of Innovative Drugs for Major Diseases, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, No. 17 Panjiayuan Nanli, Chaoyang District, Beijing, 100021, China.
Lin LiDepartment of Pathology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, No. 17 Panjiayuan Nanli, Chaoyang District, Beijing, 100021, China.
Liling HuangDepartment of Medical Oncology, Beijing Key Laboratory of Key Technologies for Early Clinical Trial Evaluation of Innovative Drugs for Major Diseases, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, No. 17 Panjiayuan Nanli, Chaoyang District, Beijing, 100021, China.
Le TangDepartment of Medical Oncology, Beijing Key Laboratory of Key Technologies for Early Clinical Trial Evaluation of Innovative Drugs for Major Diseases, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, No. 17 Panjiayuan Nanli, Chaoyang District, Beijing, 100021, China.
Jiarui YaoDepartment of Medical Oncology, Beijing Key Laboratory of Key Technologies for Early Clinical Trial Evaluation of Innovative Drugs for Major Diseases, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, No. 17 Panjiayuan Nanli, Chaoyang District, Beijing, 100021, China.
Yuankai ShiDepartment of Medical Oncology, Beijing Key Laboratory of Key Technologies for Early Clinical Trial Evaluation of Innovative Drugs for Major Diseases, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, No. 17 Panjiayuan Nanli, Chaoyang District, Beijing, 100021, China. syuankai@cicams.ac.cn.
Xiaohong HanClinical Pharmacology Research Center, NMPA Key Laboratory for Clinical Research and Evaluation of Drug, Beijing Key Laboratory of Key Technologies for Early Clinical Trial Evaluation of Innovative Drugs for Major Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, No.1, Shuaifuyuan, Dongcheng District, Beijing, 100730, China. hanxiaohong@pumch.cn.

Funding

CAMS Innovation Fund for Medical Sciences under Grant CIFMS 2021-I2M-1-003Major Project of Medical Oncology Key Foundation of Cancer Hospital Chinese Academy of Medical Sciences CICAMS-MOMP2022006National High Level Hospital Clinical Research Funding 2022-PUMCH-B-033
6 · The paper itself

Abstract

backgroundThis study aims to identify branched-chain amino acid (BCAA) plasma metabolites and gene signatures that enhance prognostic assessments in non-small cell lung cancer (NSCLC) patients receiving immunotherapy.

methodsPlasma metabolites were measured using untargeted UPLC-MS/MS (n = 94 and 40), with lymphocyte subset tests on 72 patients. BCAA-related subtypes were identified in NSCLC datasets (n = 274, 176, and 196). A prognostic risk model was developed and validated in NSCLC (n = 16, 27, 24, and 339), melanoma (n = 25), and pan-cancer ICIs cohorts (n = 330 and 81). Immune cell infiltration and prognostic signatures were validated using mIF (n = 21 in CHCAMS), scRNA-seq (n = 8 and 21), and spatial transcriptomics (n = 2 and 6). Cell and animal experiments involving HMGCS1 were conducted in a lung cancer model. Additionally, based on our previous findings that B cells with higher malignancy exhibited enhanced cholesterol homeostasis pathways in diffuse large B-cell lymphoma (DLBCL), we further analyzed the prognostic value of HMGCS1 using our spatial transcriptomics (n = 10) and immunohistochemistry (IHC, n = 39) in DLBCL.

resultsOur plasma metabolite analysis showed higher L-leucine levels were associated with better prognosis and had higher T cell counts and CD4

conclusionsThis study identifies a BCAA-related plasma metabolites and gene signature as effective prognostic markers for NSCLC patients receiving immunotherapy, with HMGCS1 as a key prognostic factor influencing tumor progression and immune response.

Indexed as

Amino Acids, Branched-ChainBiomarkers, TumorCarcinoma, Non-Small-Cell LungImmunotherapyLeucineLung NeoplasmsAgedAnimalsFemaleHumansMaleMetabolomicsMiceMiddle AgedMultiomicsPrognosisAmino Acids, Branched-ChainBiomarkers, TumorLeucineBranched chain amino acidsCholesterol homeostasisImmunotherapyNon-small cell lung cancerPrognostic biomarker

Identifiers

PMID40457349
PMCPMC12131551

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.