Evidence map›Paper›PMID 31795962›Full record

ArticleBMC cancer2019

CAIX is a predictor of pathological complete response and is associated with higher survival in locally advanced breast cancer submitted to neoadjuvant chemotherapy.

Wilson Eduardo Furlan Matos Alves, Murilo Bonatelli, Rozany Dufloth, Lígia Maria Kerr, Guilherme Freire Angotti Carrara, Ricardo Filipe Alves da Costa, Cristovam Scapulatempo-Neto, Daniel Tiezzi, René Aloísio da Costa Vieira, Céline Pinheiro

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 2 pooled it
0.6field-weighted citation impact, top 37% 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

12 citing papers in PubMed, 2 syntheses or guidelines pooled it, 17 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

10 authors at 3 institutions in 1 country.

Wilson Eduardo Furlan Matos AlvesNuclear Medicine and Molecular Imaging Department, Barretos Cancer Hospital - Pio XII Foundation, Rua Antenor Duarte Vilela, N° 1331, Barretos, São Paulo, 14784-400, Brazil. wefma@yahoo.com.br.ORCID http://orcid.org/0000-0003-0665-5297
Murilo BonatelliMolecular Oncology Research Center, Barretos Cancer Hospital, Barretos, São Paulo, Brazil.
Rozany DuflothPathology Department, Barretos Cancer Hospital, Barretos, São Paulo, Brazil.
Lígia Maria KerrPathology Department, Barretos Cancer Hospital, Barretos, São Paulo, Brazil.
Guilherme Freire Angotti CarraraSurgery Department, Federal University of Triangulo Mineiro, Uberaba, Minas Gerais, Brazil.
Ricardo Filipe Alves da CostaResearch and Teaching Institute, Barretos Cancer Hospital, Barretos, São Paulo, Brazil.
Cristovam Scapulatempo-NetoMolecular Oncology Research Center, Barretos Cancer Hospital, Barretos, São Paulo, Brazil.
Daniel TiezziDepartment of Gynecology and Obstetrics - Breast Disease Division, Faculty of Medicine of Ribeirão Preto, University of São Paulo, Ribreirão Preto, São Paulo, Brazil.
René Aloísio da Costa VieiraDepartment of Mastology and Breast Reconstruction, Barretos Cancer Hospital, Barretos, São Paulo, Brazil.
Céline PinheiroMolecular Oncology Research Center, Barretos Cancer Hospital, Barretos, São Paulo, Brazil.
Hospital de Câncer de Barretos · BRUniversidade de Ribeirão Preto · BRUniversidade Federal do Triângulo Mineiro · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLocally advanced breast cancer often undergoes neoadjuvant chemotherapy (NAC), which allows in vivo evaluation of the therapeutic response. The determination of the pathological complete response (pCR) is one way to evaluate the response to neoadjuvant chemotherapy. However, the rate of pCR differs significantly between molecular subtypes and the cause is not yet determined. Recently, the metabolic reprogramming of cancer cells and its implications for tumor growth and dissemination has gained increasing prominence and could contribute to a better understanding of NAC. Thus, this study proposed to evaluate the expression of metabolism-related proteins and its association with pCR and survival rates.

methodsThe expression of monocarboxylate transporters 1 and 4 (MCT1 and MCT4, respectively), cluster of differentiation 147 (CD147), glucose transporter-1 (GLUT1) and carbonic anhydrase IX (CAIX) was analyzed in 196 locally advanced breast cancer samples prior to NAC. The results were associated with clinical-pathological characteristics, occurrence of pCR, disease-free survival (DFS), disease-specific survival (DSS) and overall survival (OS).

resultsThe occurrence of pCR was higher in the group of patients whith tumors expressing GLUT1 and CAIX than in the group without expression (27.8% versus 13.1%, p = 0.030 and 46.2% versus 13.5%, p = 0.007, respectively). Together with regional lymph nodes staging and mitotic staging, CAIX expression was considered an independent predictor of pCR. In addition, CAIX expression was associated with DFS and DSS (p = 0.005 and p = 0.012, respectively).

conclusionsCAIX expression was a predictor of pCR and was associated with higher DFS and DSS in locally advanced breast cancer patients subjected to NAC.

Indexed as

AdultAgedAntigens, NeoplasmAntineoplastic Combined Chemotherapy ProtocolsBiomarkers, TumorBreast NeoplasmsCarbonic Anhydrase IXChemotherapy, AdjuvantDisease-Free SurvivalFemaleGlucose Transporter Type 1GlycolysisHumansImmunohistochemistryLymphatic MetastasisMiddle AgedAntigens, NeoplasmBiomarkers, TumorCA9 protein, humanCarbonic Anhydrase IXGlucose Transporter Type 1Monocarboxylate Transport Protein 1Monocarboxylic Acid TransportersMuscle ProteinsSLC16A4 protein, humanSLC2A1 protein, humanSymportersBreast cancerCAIXGlycolytic metabolismImmunohistochemistryNeoadjuvant chemotherapyPathological complete response

Identifiers

PMID31795962
PMCPMC6889185
OpenAlexW2994056711

What OpenQuestion holds

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LicenceCC BY
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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.