Evidence map›Paper›PMID 30963111›Full record

ArticleNPJ precision oncology2019

A plasma protein derived TGFβ signature is a prognostic indicator in triple negative breast cancer.

Hiroyuki Katayama, Peiling Tsou, Makoto Kobayashi, Michela Capello, Hong Wang, Francisco Esteva, Mary L Disis, Samir Hanash

Open access · goldAbstract read
In one paragraph

Article in NPJ precision oncology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.4field-weighted citation impact, top 19% 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

17 citing papers in PubMed, 23 citations in OpenAlex.

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  12. Protein citrullination as a source of cancer neoantigens.Journal for immunotherapy of cancer · 2021
    Article
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  16. Genetic Variants of thePharmacogenomics and personalized medicine · 2021
    Article
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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

8 authors at 3 institutions in 1 country.

Hiroyuki Katayama *1MD Anderson Cancer Center, 6767 Bertner Avenue, Houston, TX 77030 USA.
Peiling Tsou *1MD Anderson Cancer Center, 6767 Bertner Avenue, Houston, TX 77030 USA.
Makoto Kobayashi1MD Anderson Cancer Center, 6767 Bertner Avenue, Houston, TX 77030 USA.
Michela Capello1MD Anderson Cancer Center, 6767 Bertner Avenue, Houston, TX 77030 USA.
Hong Wang1MD Anderson Cancer Center, 6767 Bertner Avenue, Houston, TX 77030 USA.
Francisco Esteva2Division of Hematology/Oncology, Laura and Isaac Perlmutter Cancer Center, New York University Langone Medical Center, New York, NY 10016 USA.
Mary L Disis3Tumor Vaccine Group, University of Washington, 850 Republican Street, Box 358050, Seattle, WA 98109 USA.
Samir Hanash1MD Anderson Cancer Center, 6767 Bertner Avenue, Houston, TX 77030 USA.
The University of Texas MD Anderson Cancer Center · USNYU Langone Health · USUniversity of Washington · US

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Scott Kopetz · 1985 to 2026
$290.8M
Immune diagnostics and vaccine targets: breast cancer antigens from mice to womenU01CA141539 · NCI · UNIVERSITY OF WASHINGTON · PI DISIS, MARY L. · 2009 to 2013
$3.7M
NCI NIH HHS P30 CA016672NCI NIH HHS U01 CA141539
6 · The paper itself

Abstract

We investigated the potential of in-depth quantitative plasma proteome analysis to uncover proteins predictive of progression and metastasis in triple negative breast cancer (TNBC). Analysis of samples from 24 pre-menopausal and 24 post-menopausal women with newly diagnosed TNBC who subsequently developed metastasis or remained metastasis free were utilized in the proteomic discovery set, which resulted in 43 proteins associated with tumor progression. These proteins were found to form a hierarchical network with TGFβ. The signature was further confirmed and refined by integrating plasma protein data from a murine TNBC model that encompassed mice with rapid- versus slow-growing tumors. Three genes consisting of CLIC1, MAPRE1, and SERPINA3 in the refined TGFβ signature significantly stratified overall survival (log-rank

Identifiers

PMID30963111
PMCPMC6445093
OpenAlexW2934048085

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.