Evidence map›Paper›PMID 34092620›Full record

ArticleCancer biomarkers : section A of Disease markers2021

Targeting PKM2 promotes chemosensitivity of breast cancer cells in vitro and in vivo.

Yu Wang, Han Zhao, Ping Zhao, Xingang Wang

Abstract read
In one paragraph

Article in Cancer biomarkers : section A of Disease markers, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
0.8field-weighted citation impact, top 35% of its field
1 · What the graph read from it

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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

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3 · Its place in the literature

Who cites it

16 citing papers in PubMed, 18 citations in OpenAlex.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

4 authors at 2 institutions in 1 country.

Yu WangDepartment of Breast Surgery, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China.
Han ZhaoDepartment of Pathology, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China.
Ping ZhaoDepartment of General Surgery, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China.
Xingang WangDepartment of Breast Surgery, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China.
Affiliated Hospital of Qingdao University · CNQingdao University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPyruvate kinase M2 (PKM2) was overexpressed in many cancers, and high PKM2 expression was related with poor prognosis and chemoresistance.

objectiveWe investigated the expression of PKM2 in breast cancer and analyzed the relation of PKM2 expression with chemotherapy resistance to the neoadjuvant chemotherapy (NAC). We also investigated whether PKM2 could reverse chemoresistance in breast cancer cells in vitro and in vivo.

methodsImmunohistochemistry (IHC) was performed in 130 surgical resected breast cancer tissues. 78 core needle biopsies were collected from breast cancer patients before neoadjuvant chemotherapy. The relation of PKM2 expression and multi-drug resistance to NAC was compared. The effect of PKM2 silencing or overexpression on Doxorubicin (DOX) sensitivity in the MCF-7 cells in vitro and in vivo was compared.

resultsPKM2 was intensively expressed in breast cancer tissues compared to adjacent normal tissues. In addition, high expression of PKM2 was associated with poor prognosis in breast cancer patients. The NAC patients with high PKM2 expression had short survival. PKM2 was an independent prognostic predictor for surgical resected breast cancer and NAC patients. High PKM2 expression was correlated with neoadjuvant treatment resistance. High PKM2 expression significantly distinguished chemoresistant patients from chemosensitive patients. In vitro and in vivo knockdown of PKM2 expression decreases the resistance to DOX in breast cancer cells in vitro and tumors in vivo.

conclusionPKM2 expression was associated with chemoresistance of breast cancers, and could be used to predict the chemosensitivity. Furthermore, targeting PKM2 could reverse chemoresistance, which provides an effective treatment methods for patients with breast cancer.

Indexed as

AnimalsBiomarkers, TumorBreastBreast NeoplasmsCarrier ProteinsDisease-Free SurvivalDrug Resistance, NeoplasmFemaleFollow-Up StudiesGene Expression Regulation, NeoplasticGene Knockdown TechniquesHumansImmunohistochemistryKaplan-Meier EstimateMCF-7 CellsMembrane ProteinsBiomarkers, TumorCarrier ProteinsMembrane ProteinsThyroid Hormone-Binding ProteinsThyroid HormonesBreast cancerchemotherapypyruvate kinase M2

Identifiers

PMID34092620
PMCPMC12500047
OpenAlexW3167452532

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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.