Evidence map›Paper›PMID 37137501›Full record

ReviewCold Spring Harbor perspectives in medicine2023

The Breast Cancer Proteome and Precision Oncology.

Jonathan T Lei, Eric J Jaehnig, Hannah Smith, Matthew V Holt, Xi Li, Meenakshi Anurag, Matthew J Ellis, Gordon B Mills, Bing Zhang, Marilyne Labrie

Open access · bronzeAbstract readReview
In one paragraph

Review in Cold Spring Harbor perspectives in medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed, 3 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Breast Cancer.Cold Spring Harbor perspectives in medicine · 2024
    Review
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 at 2 institutions in 1 country.

Jonathan T LeiLester and Sue Smith Breast Center and Dan L. Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, Texas 77030, USA.
Eric J JaehnigLester and Sue Smith Breast Center and Dan L. Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, Texas 77030, USA.
Hannah SmithKnight Cancer Institute, Oregon Health & Science University, Portland, Oregon 97239, USA.
Matthew V HoltLester and Sue Smith Breast Center and Dan L. Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, Texas 77030, USA.
Xi LiKnight Cancer Institute, Oregon Health & Science University, Portland, Oregon 97239, USA.
Meenakshi AnuragLester and Sue Smith Breast Center and Dan L. Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, Texas 77030, USA.
Matthew J EllisLester and Sue Smith Breast Center and Dan L. Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, Texas 77030, USA.
Gordon B MillsKnight Cancer Institute, Oregon Health & Science University, Portland, Oregon 97239, USA millsg@ohsu.edu bing.zhang@bcm.edu marilyne.labrie@usherbrooke.ca.
Bing ZhangLester and Sue Smith Breast Center and Dan L. Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, Texas 77030, USA millsg@ohsu.edu bing.zhang@bcm.edu marilyne.labrie@usherbrooke.ca.
Marilyne LabrieKnight Cancer Institute, Oregon Health & Science University, Portland, Oregon 97239, USA millsg@ohsu.edu bing.zhang@bcm.edu marilyne.labrie@usherbrooke.ca.
Baylor College of Medicine · USOregon Health & Science University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The goal of precision oncology is to translate the molecular features of cancer into predictive and prognostic tests that can be used to individualize treatment leading to improved outcomes and decreased toxicity. Success for this strategy in breast cancer is exemplified by efficacy of trastuzumab in tumors overexpressing ERBB2 and endocrine therapy for tumors that are estrogen receptor positive. However, other effective treatments, including chemotherapy, immune checkpoint inhibitors, and CDK4/6 inhibitors are not associated with strong predictive biomarkers. Proteomics promises another tier of information that, when added to genomic and transcriptomic features (proteogenomics), may create new opportunities to improve both treatment precision and therapeutic hypotheses. Here, we review both mass spectrometry-based and antibody-dependent proteomics as complementary approaches. We highlight how these methods have contributed toward a more complete understanding of breast cancer and describe the potential to guide diagnosis and treatment more accurately.

Indexed as

Breast NeoplasmsFemaleHumansPrecision MedicinePrognosisProteomeTreatment OutcomeProteome

Identifiers

PMID37137501
PMCPMC10547392
OpenAlexW4367842216

What OpenQuestion holds

Textmetadata
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.