Evidence map›Paper›PMID 35818030›Full record

ReviewClinical proteomics2022

Circulating proteins as predictive and prognostic biomarkers in breast cancer.

Hugo Veyssière, Yannick Bidet, Frederique Penault-Llorca, Nina Radosevic-Robin, Xavier Durando

Open access · goldAbstract readReview
In one paragraph

Review in Clinical proteomics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
5.5field-weighted citation impact, top 3% 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

35 citing papers in PubMed, 54 citations in OpenAlex.

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  19. Onco-Breastomics: An Eco-Evo-Devo Holistic Approach.International journal of molecular sciences · 2024
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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

5 authors at 3 institutions in 1 country.

Hugo VeyssièreUniversité Clermont Auvergne, INSERM, UMR 1240 « Imagerie Moléculaire Et Stratégies Théranostiques », Centre Jean Perrin, 58 Rue Montalembert, 63011, Clermont-Ferrand, France.
Yannick Bidet *Université Clermont Auvergne, INSERM, UMR 1240 « Imagerie Moléculaire Et Stratégies Théranostiques », Centre Jean Perrin, 58 Rue Montalembert, 63011, Clermont-Ferrand, France.
Frederique Penault-LlorcaUniversité Clermont Auvergne, INSERM, UMR 1240 « Imagerie Moléculaire Et Stratégies Théranostiques », Centre Jean Perrin, 58 Rue Montalembert, 63011, Clermont-Ferrand, France.
Nina Radosevic-Robin *Université Clermont Auvergne, INSERM, UMR 1240 « Imagerie Moléculaire Et Stratégies Théranostiques », Centre Jean Perrin, 58 Rue Montalembert, 63011, Clermont-Ferrand, France. nina.radosevic.robin@gmail.com.
Xavier Durando *Université Clermont Auvergne, INSERM, UMR 1240 « Imagerie Moléculaire Et Stratégies Théranostiques », Centre Jean Perrin, 58 Rue Montalembert, 63011, Clermont-Ferrand, France.
Université Clermont Auvergne · FRCentre Jean Perrin · FRInserm · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast cancer (BC) is the most common cancer and among the leading causes of cancer death in women. It is a heterogeneous group of tumours with numerous morphological and molecular subtypes, making predictions of disease evolution and patient outcomes difficult. Therefore, biomarkers are needed to help clinicians choose the best treatment for each patient. For the last years, studies have increasingly focused on biomarkers obtainable by liquid biopsy. Circulating proteins (from serum or plasma) can be used for inexpensive and minimally invasive determination of disease risk, early diagnosis, treatment adjusting, prognostication and disease progression monitoring. We provide here a review of the main published studies on serum proteins in breast cancer and elaborate on the potential of circulating proteins to be predictive and/or prognostic biomarkers in breast cancer.

Indexed as

BiomarkerBreast cancerLiquid biopsyPlasma proteinsPredictivePrognosticSerum proteins

Identifiers

PMID35818030
PMCPMC9275040
OpenAlexW4285014541

What Socratic 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 Socratic graph.