Evidence map›Paper›PMID 38396241›Full record

ArticleNPJ precision oncology2024

Clonal gene signatures predict prognosis in mesothelioma and lung adenocarcinoma.

Yupei Lin, Bryan M Burt, Hyun-Sung Lee, Thinh T Nguyen, Hee-Jin Jang, Claire Lee, Wei Hong, Robert Taylor Ripley, Christopher I Amos, Chao Cheng

Abstract read
In one paragraph

Article in NPJ precision oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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

10 authors.

Yupei Lin *Department of Medicine, Baylor College of Medicine, Houston, TX, 77030, USA.ORCID http://orcid.org/0000-0001-7581-0663
Bryan M Burt *Systems Onco-Immunology Laboratory, David J. Sugarbaker Division of Thoracic Surgery, Michael E. DeBakey Department of Surgery, Baylor College of Medicine, Houston, TX, 77030, USA. BBurt@mednet.ucla.edu.
Hyun-Sung LeeThe Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX, USA.ORCID http://orcid.org/0000-0001-8259-046X
Thinh T NguyenInstitute for Clinical and Translational Research, Baylor College of Medicine, Houston, TX, 77030, USA.
Hee-Jin JangThe Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX, USA.
Claire LeeThe Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX, USA.
Wei HongDepartment of Medicine, Baylor College of Medicine, Houston, TX, 77030, USA.
Robert Taylor RipleySystems Onco-Immunology Laboratory, David J. Sugarbaker Division of Thoracic Surgery, Michael E. DeBakey Department of Surgery, Baylor College of Medicine, Houston, TX, 77030, USA.
Christopher I AmosDepartment of Medicine, Baylor College of Medicine, Houston, TX, 77030, USA. Chris.Amos@bcm.edu.ORCID http://orcid.org/0000-0002-8540-7023
Chao ChengDepartment of Medicine, Baylor College of Medicine, Houston, TX, 77030, USA. chao.cheng@bcm.edu.ORCID http://orcid.org/0000-0002-5002-3417

Funding

Translating Molecular and Clinical Data to Population Lung Cancer Risk AssessmentU19CA203654 · NCI · UNIVERSITY OF NEW MEXICO HEALTH SCIS CTR · PI Christopher I. Amos, Rayjean J. Hung · 2017 to 2026
$23.7M
Proteomic determinants of response to checkpoint blockade in malignant pleuralmesotheliomaR37CA248478 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Bryan Michael Burt · 2021 to 2026
$2.9M
(PQD4) SIGNS OF INFLAMMATORY BREAST CANCER ARE CAUSED BY STROMAL FIELD EFFECTSR01CA180061 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI WOODWARD, WENDY A · 2013 to 2016
$1.9M
An innovative integrated computational framework using gene signatures for patient stratificationR01CA269764 · NCI · BAYLOR COLLEGE OF MEDICINE · PI CHAO CHENG · 2023 to 2026
$1.8M
High Memory High-Performance Computer Cluster for Biomedical ResearchS10OD032185 · OD · BAYLOR COLLEGE OF MEDICINE · PI HILSENBECK, SUSAN G. · 2022 to 2022
$596k
Cancer Prevention and Research Institute of Texas (Cancer Prevention Research Institute of Texas) RR180061NCI NIH HHS R01 CA269764NCI NIH HHS R37 CA248478NCI NIH HHS U19 CA203654NIH HHS S10 OD032185NIOSH CDC HHS U24 OH009077U.S. Department of Health & Human Services | NIH | National Cancer Institute (NCI) 1R01CA269764
6 · The paper itself

Abstract

Malignant pleural mesothelioma (MPM) is a rare but lethal pleural cancer with high intratumor heterogeneity (ITH). A recent study in lung adenocarcinoma has developed a clonal gene signature (ORACLE) from multiregional transcriptomic data and demonstrated high prognostic values and reproducibility. However, such a strategy has not been tested in other types of cancer with high ITH. We aimed to identify biomarkers from multi-regional data to prognostically stratify MPM patients. We generated a multiregional RNA-seq dataset for 78 tumor samples obtained from 26 MPM patients, each with one sample collected from a superior, lateral, and inferior region of the tumor. By integrating this dataset with the Cancer Genome Atlas MPM RNA-seq data, we selected 29 prognostic genes displaying high variability across different tumors but low ITH, which named PRACME (Prognostic Risk Associated Clonal Mesothelioma Expression). We evaluated PRACME in two independent MPM datasets and demonstrated its prognostic values. Patients with high signature scores are associated with poor prognosis after adjusting established clinical factors. Interestingly, the PRACME and the ORACLE signatures defined respectively from MPM and lung adenocarcinoma cross-predict prognosis between the two cancer types. Further investigation indicated that the cross-prediction ability might be explained by the high similarity between the two cancer types in their genomic regions with copy number variation, which host many clonal genes. Overall, our clonal signature PRACME provided prognostic stratification in MPM and this study emphasized the importance of multi-regional transcriptomic data for prognostic stratification based on clonal genes.

Identifiers

PMID38396241
PMCPMC10891127

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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.