Evidence map›Paper›PMID 34771640›Full record

ReviewCancers2021

Molecular Biomarkers Predict Pathological Complete Response of Neoadjuvant Chemotherapy in Breast Cancer Patients: Review.

Ana Julia Aguiar de Freitas, Rhafaela Lima Causin, Muriele Bertagna Varuzza, Cassio Murilo Trovo Hidalgo Filho, Vinicius Duval da Silva, Cristiano de Pádua Souza, Márcia Maria Chiquitelli Marques

Open access · goldAbstract readReview
In one paragraph

Review in Cancers, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 2 pooled it
2.0field-weighted citation impact, top 13% 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

19 citing papers in PubMed, 2 syntheses or guidelines pooled it, 31 citations in OpenAlex.

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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

7 authors at 2 institutions in 1 country.

Ana Julia Aguiar de FreitasMolecular Oncology Research Center, Barretos Cancer Hospital, Teaching and Research Institute, Barretos 14784-400, SP, Brazil.ORCID 0000-0002-9677-2093
Rhafaela Lima CausinMolecular Oncology Research Center, Barretos Cancer Hospital, Teaching and Research Institute, Barretos 14784-400, SP, Brazil.ORCID 0000-0003-1749-9736
Muriele Bertagna VaruzzaMolecular Oncology Research Center, Barretos Cancer Hospital, Teaching and Research Institute, Barretos 14784-400, SP, Brazil.ORCID 0000-0002-4482-6440
Cassio Murilo Trovo Hidalgo FilhoInstituto do Câncer do Estado de São Paulo (ICESP), São Paulo 01246-000, SP, Brazil.ORCID 0000-0002-7046-0059
Vinicius Duval da SilvaBarretos Cancer Hospital, Barretos 14784-400, SP, Brazil.ORCID 0000-0003-3515-0263
Cristiano de Pádua SouzaBarretos Cancer Hospital, Barretos 14784-400, SP, Brazil.ORCID 0000-0002-6412-8041
Márcia Maria Chiquitelli MarquesMolecular Oncology Research Center, Barretos Cancer Hospital, Teaching and Research Institute, Barretos 14784-400, SP, Brazil.ORCID 0000-0001-5616-6710
Hospital de Câncer de Barretos · BRInstituto do Câncer do Estado de São Paulo · BR

Funding

Departamento de Ciência e Tecnologia #879848/2018
6 · The paper itself

Abstract

Neoadjuvant chemotherapy (NAC) is often used to treat locally advanced disease for tumor downstaging, thus improving the chances of breast-conserving surgery. From the NAC response, it is possible to obtain prognostic information as patients may reach a pathological complete response (pCR). Those who do might have significant advantages in terms of survival rates. Breast cancer (BC) is a heterogeneous disease that requires personalized treatment strategies. The development of targeted therapies depends on identifying biomarkers that can be used to assess treatment efficacy as well as the discovery of new and more accurate therapeutic agents. With the development of new "OMICS" technologies, i.e., genomics, transcriptomics, and proteomics, among others, the discovery of new biomarkers is increasingly being used in the context of clinical practice, bringing us closer to personalized management of BC treatment. The aim of this review is to compile the main biomarkers that predict pCR in BC after NAC.

Indexed as

breast cancermolecular biomarkersneoadjuvant chemotherapypathological complete response

Identifiers

PMID34771640
PMCPMC8582511
OpenAlexW3211119642

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.