Evidence map›Paper›PMID 38451249›Full record

ArticleCancer research2024

Transcriptomic Profiling of Plasma Extracellular Vesicles Enables Reliable Annotation of the Cancer-Specific Transcriptome and Molecular Subtype.

Vahid Bahrambeigi, Jaewon J Lee, Vittorio Branchi, Kimal I Rajapakshe, Zhichao Xu, Naishu Kui, Jason T Henry, Wang Kun, Bret M Stephens, Sarah Dhebat and 8 more

Open access · greenAbstract read
In one paragraph

Article in Cancer research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
4.0field-weighted citation impact, top 6% of its field
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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Review
  4. Review
  5. Review
  6. Review
  7. Review
  8. Review
  9. Early cancer diagnosisWorld journal of gastrointestinal oncology · 2025
    Article
  10. Article
  11. Review
  12. Article
  13. Review
  14. 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

18 authors at 3 institutions in 1 country.

Vahid BahrambeigiSheikh Ahmed Center for Pancreatic Cancer Research, The University of Texas MD Anderson Cancer Center, Houston, Texas.ORCID 0000-0002-7964-6087
Jaewon J LeeSheikh Ahmed Center for Pancreatic Cancer Research, The University of Texas MD Anderson Cancer Center, Houston, Texas.ORCID 0000-0002-5677-2398
Vittorio BranchiSheikh Ahmed Center for Pancreatic Cancer Research, The University of Texas MD Anderson Cancer Center, Houston, Texas.ORCID 0000-0002-6182-835X
Kimal I RajapaksheSheikh Ahmed Center for Pancreatic Cancer Research, The University of Texas MD Anderson Cancer Center, Houston, Texas.ORCID 0000-0002-0472-858X
Zhichao XuDepartment of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, Texas.ORCID 0000-0002-3935-8865
Naishu KuiDepartment of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, Texas.ORCID 0000-0001-6091-9906
Jason T HenryDepartment of GI Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas.ORCID 0000-0003-1991-4227
Wang KunCenter for Cancer Research, National Cancer Institute, Bethesda, Maryland.ORCID 0000-0001-8923-8557
Bret M StephensSheikh Ahmed Center for Pancreatic Cancer Research, The University of Texas MD Anderson Cancer Center, Houston, Texas.ORCID 0009-0006-2968-580X
Sarah DhebatSheikh Ahmed Center for Pancreatic Cancer Research, The University of Texas MD Anderson Cancer Center, Houston, Texas.ORCID 0009-0000-9139-2369
Mark W HurdSheikh Ahmed Center for Pancreatic Cancer Research, The University of Texas MD Anderson Cancer Center, Houston, Texas.ORCID 0000-0002-6102-4925
Ryan SunDepartment of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, Texas.ORCID 0000-0003-1176-1561
Peng YangDepartment of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, Texas.ORCID 0000-0002-0630-9506
Eytan RuppinCenter for Cancer Research, National Cancer Institute, Bethesda, Maryland.ORCID 0000-0002-7862-3940
Wenyi WangDepartment of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, Texas.ORCID 0000-0003-0617-9438
Scott KopetzDepartment of GI Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas.ORCID 0000-0001-9647-3416
Anirban MaitraSheikh Ahmed Center for Pancreatic Cancer Research, The University of Texas MD Anderson Cancer Center, Houston, Texas.ORCID 0000-0001-7923-9978
Paola A GuerreroSheikh Ahmed Center for Pancreatic Cancer Research, The University of Texas MD Anderson Cancer Center, Houston, Texas.ORCID 0000-0002-7345-1246
The University of Texas MD Anderson Cancer Center · USNational Cancer Institute · USCedars-Sinai Medical Center · US

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI DIANE BODURKA · 1985 to 2026
$290.8M
TRAINING OF ACADEMIC SURGICAL ONCOLOGISTST32CA009599 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Ashley M Holder, Jennifer A. Wargo · 1988 to 2026
$13.2M
Project 3: Inhibiting Oxidative Phosphorylation in Pancreatic CancerP50CA221707 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI KOPETZ, SCOTT · 2019 to 2023
$11.0M
Computational studies of cancer immunotherapyZIABC011803 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI RUPPIN, EYTAN · 2018 to 2025
$10.7M
Longitudinal therapeutic monitoring of colorectal cancer patients using exosome-based liquid biopsiesR01CA218230 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI KOPETZ, SCOTT, MAITRA, ANIRBAN · 2018 to 2022
$3.3M
Statistical methods for genomic analysis of heterogeneous tumorsR01CA268380 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Wenyi Wang · 2022 to 2026
$2.4M
Statistical methods and tools for cancer risk prediction in families with germline mutations in TP53R01CA239342 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI WANG, WENYI · 2019 to 2022
$1.5M
Break Through Cancer (BTC)National Cancer Institute (NCI) 5P50CA221707National Cancer Institute (NCI) 5R01CA218230National Cancer Institute (NCI) P30CA016672National Cancer Institute (NCI) P50CA221707National Cancer Institute (NCI) R01CA218230National Cancer Institute (NCI) R01CA239342National Cancer Institute (NCI) R01CA268380National Cancer Institute (NCI) T32CA009599NCI NIH HHS P30 CA016672NCI NIH HHS P50 CA221707NCI NIH HHS R01 CA218230NCI NIH HHS R01 CA239342NCI NIH HHS R01 CA268380NCI NIH HHS T32 CA009599
6 · The paper itself

Abstract

Longitudinal monitoring of patients with advanced cancers is crucial to evaluate both disease burden and treatment response. Current liquid biopsy approaches mostly rely on the detection of DNA-based biomarkers. However, plasma RNA analysis can unleash tremendous opportunities for tumor state interrogation and molecular subtyping. Through the application of deep learning algorithms to the deconvolved transcriptomes of RNA within plasma extracellular vesicles (evRNA), we successfully predicted consensus molecular subtypes in patients with metastatic colorectal cancer. Analysis of plasma evRNA also enabled monitoring of changes in transcriptomic subtype under treatment selection pressure and identification of molecular pathways associated with recurrence. This approach also revealed expressed gene fusions and neoepitopes from evRNA. These results demonstrate the feasibility of using transcriptomic-based liquid biopsy platforms for precision oncology approaches, spanning from the longitudinal monitoring of tumor subtype changes to the identification of expressed fusions and neoantigens as cancer-specific therapeutic targets, sans the need for tissue-based sampling. SIGNIFICANCE: The development of an approach to interrogate molecular subtypes, cancer-associated pathways, and differentially expressed genes through RNA sequencing of plasma extracellular vesicles lays the foundation for liquid biopsy-based longitudinal monitoring of patient tumor transcriptomes.

Indexed as

Biomarkers, TumorExtracellular VesiclesGene Expression ProfilingTranscriptomeColorectal NeoplasmsGene Expression Regulation, NeoplasticHumansLiquid BiopsyNeoplasmsBiomarkers, Tumor

Identifiers

PMID38451249
PMCPMC11096054
OpenAlexW4392553345

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.