Evidence map›Paper›PMID 34711841›Full record

ArticleNPJ breast cancer2021

Oncogene-mediated metabolic gene signature predicts breast cancer outcome.

Merve Aslan, En-Chi Hsu, Fernando J Garcia-Marques, Abel Bermudez, Shiqin Liu, Michelle Shen, Meredith West, Chiyuan Amy Zhang, Meghan A Rice, James D Brooks and 4 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in NPJ breast cancer, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed, 1 pooled it
3.2field-weighted citation impact, top 7% 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

45 citing papers in PubMed, 1 synthesis or guideline pooled it, 59 citations in OpenAlex.

  1. Pooled it
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  6. Review
  7. TROP2-targeted NIR-II fluorescence imaging for visualizing surgical margins and metastatic sentinel lymph nodes in breast cancers.Proceedings of the National Academy of Sciences of the United States of America · 2026
    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

14 authors at 3 institutions in 2 countries.

Merve Aslan *Department of Radiology, Canary Center at Stanford for Cancer Early Detection, Stanford University, Stanford, CA, USA.
En-Chi Hsu *Department of Radiology, Canary Center at Stanford for Cancer Early Detection, Stanford University, Stanford, CA, USA.ORCID http://orcid.org/0000-0002-5671-6169
Fernando J Garcia-MarquesDepartment of Radiology, Canary Center at Stanford for Cancer Early Detection, Stanford University, Stanford, CA, USA.ORCID http://orcid.org/0000-0002-2105-2905
Abel BermudezDepartment of Radiology, Canary Center at Stanford for Cancer Early Detection, Stanford University, Stanford, CA, USA.
Shiqin LiuDepartment of Radiology, Canary Center at Stanford for Cancer Early Detection, Stanford University, Stanford, CA, USA.
Michelle ShenDepartment of Radiology, Canary Center at Stanford for Cancer Early Detection, Stanford University, Stanford, CA, USA.
Meredith WestDepartment of Urology, Stanford University, Stanford, CA, USA.
Chiyuan Amy ZhangDepartment of Urology, Stanford University, Stanford, CA, USA.
Meghan A RiceDepartment of Radiology, Canary Center at Stanford for Cancer Early Detection, Stanford University, Stanford, CA, USA.
James D BrooksDepartment of Urology, Stanford University, Stanford, CA, USA.ORCID http://orcid.org/0000-0003-4521-7505
Robert WestDepartment of Pathology, Stanford University, Stanford, CA, USA.
Sharon J PitteriDepartment of Radiology, Canary Center at Stanford for Cancer Early Detection, Stanford University, Stanford, CA, USA.ORCID http://orcid.org/0000-0002-3119-873X
Balázs GyőrffyTTK Lendület Cancer Biomarker Research Group, Research Centre for Natural Sciences, Institute of Enzymology, Magyar Tudósok Körútja, 1094, Budapest, Hungary.
Tanya StoyanovaDepartment of Radiology, Canary Center at Stanford for Cancer Early Detection, Stanford University, Stanford, CA, USA. stanya@stanford.edu.ORCID http://orcid.org/0000-0003-0119-9747
Stanford University · USSemmelweis University · HUStanford Medicine · US

Funding

Elucidating the Role of Trop2 in Prostate CancerR37CA240822 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Tanya I Stoyanova · 2020 to 2026
$2.5M
Elucidating the Role of UCHL1 in Aggressive Prostate CancerR01CA244281 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI STOYANOVA, TANYA I · 2020 to 2024
$1.8M
Celigo S Imaging Cytometer (200-BFFL-S)S10OD023518 · OD · STANFORD UNIVERSITY · PI PAULMURUGAN, RAMASAMY · 2018 to 2018
$174k
NCI NIH HHS R01 CA244281NCI NIH HHS R37 CA240822NIH HHS S10 OD023518
6 · The paper itself

Abstract

Breast cancer remains the second most lethal cancer among women in the United States and triple-negative breast cancer is the most aggressive subtype with limited treatment options. Trop2, a cell membrane glycoprotein, is overexpressed in almost all epithelial cancers. In this study, we demonstrate that Trop2 is overexpressed in triple-negative breast cancer (TNBC), and downregulation of Trop2 delays TNBC cell and tumor growth supporting the oncogenic role of Trop2 in breast cancer. Through proteomic profiling, we discovered a metabolic signature comprised of TALDO1, GPI, LDHA, SHMT2, and ADK proteins that were downregulated in Trop2-depleted breast cancer tumors. The identified oncogene-mediated metabolic gene signature is significantly upregulated in TNBC patients across multiple RNA-expression clinical datasets. Our study further reveals that the metabolic gene signature reliably predicts poor survival of breast cancer patients with early stages of the disease. Taken together, our study identified a new five-gene metabolic signature as an accurate predictor of breast cancer outcome.

Identifiers

PMID34711841
PMCPMC8553750
OpenAlexW3210829765

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.