Evidence map›Paper›PMID 26715276›Full record

ArticleTumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine2016

Altered glycometabolism affects both clinical features and prognosis of triple-negative and neoadjuvant chemotherapy-treated breast cancer.

Tieying Dong, Xinmei Kang, Zhaoliang Liu, Shu Zhao, Wenjie Ma, Qijia Xuan, Hang Liu, Zhipeng Wang, Qingyuan Zhang

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed, 3 pooled it
1.5field-weighted citation impact, top 19% 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

45 citing papers in PubMed, 3 syntheses or guidelines pooled it, 77 citations in OpenAlex.

  1. Prognostic role of glycolysis for cancer outcome: evidence from 86 studies.Journal of cancer research and clinical oncology · 2019
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  13. Metabolic adaptations in prostate cancer.British journal of cancer · 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

9 authors at 2 institutions in 1 country.

Tieying DongDepartment of Internal Medicine, The Third Affiliated Hospital of Harbin Medical University, Haping Road 150 of Nangang District, Harbin, Heilongjiang Province, 150081, China.
Xinmei KangDepartment of Internal Medicine, The Third Affiliated Hospital of Harbin Medical University, Haping Road 150 of Nangang District, Harbin, Heilongjiang Province, 150081, China.
Zhaoliang LiuCancer Research Institute, Harbin Medical University, Harbin, China.
Shu ZhaoDepartment of Internal Medicine, The Third Affiliated Hospital of Harbin Medical University, Haping Road 150 of Nangang District, Harbin, Heilongjiang Province, 150081, China.
Wenjie MaDepartment of Internal Medicine, The Third Affiliated Hospital of Harbin Medical University, Haping Road 150 of Nangang District, Harbin, Heilongjiang Province, 150081, China.
Qijia XuanDepartment of Internal Medicine, The Third Affiliated Hospital of Harbin Medical University, Haping Road 150 of Nangang District, Harbin, Heilongjiang Province, 150081, China.
Hang LiuDepartment of Internal Medicine, The Third Affiliated Hospital of Harbin Medical University, Haping Road 150 of Nangang District, Harbin, Heilongjiang Province, 150081, China.
Zhipeng WangThe Fourth Affiliated Hospital of Harbin Medical University, Harbin, China.
Qingyuan ZhangDepartment of Internal Medicine, The Third Affiliated Hospital of Harbin Medical University, Haping Road 150 of Nangang District, Harbin, Heilongjiang Province, 150081, China. zqyxsci@126.com.
Third Affiliated Hospital of Harbin Medical University · CNHarbin Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Glycometabolism is a distinctive aspect of energy metabolism in breast cancer, and key glycometabolism enzymes/pathways (glycolysis, hexosamine biosynthetic pathway, and pentose phosphate pathway) may directly or indirectly affect the clinical features. In this study, we analyzed the particular correlation between the altered glycometabolism and clinical features of breast cancer to instruct research and clinical treatment. Tissue microarrays containing 189 hollow needle aspiration samples and 295 triple-negative breast cancer tissues were used to test the expression of M2 isoform of pyruvate kinase (PKM2), glutamine-fructose-6-phosphate transaminase 1 (GFPT1), glucose-6-phosphate dehydrogenase (G6PD), and p53 by immunohistochemistry and the intensity of these glycometabolism-related protein was evaluated. Chi-square test, Kaplan-Meier estimates, and Cox proportional hazards model were used to analyze the relationship between the expression of these factors and major clinical features. PKM2, GFPT1, and G6PD affect the pathologic complete response rate of neoadjuvant chemotherapy patients in different ways; pyruvate kinase muscle isozyme 2 (PKM2) and G6PD are closely associated with the molecular subtypes, whereas GFPT1 is correlated with cancer size. All these three factors as well as p53 have impacts on the progression-free survival and overall survival of triple-negative breast cancer patients. Cancer size shows significant association with PKM2 and GFPT1 expression, while the pN stage and grade are associated with PKM2 and G6PD expression. Our study support that clinical characteristics are reflections of specific glycometabolism pathways, so their relationships may shed light on the orientation of research or clinical treatment. The expression of PKM2, GFPT1, and G6PD are hazardous factors for prognosis: high expression of these proteins predict worse progression-free survival and overall survival in triple-negative breast cancer, as well as worse pathologic complete response rate in neoadjuvant chemotherapy breast cancer. However, p53 appears as a protective factor only in the patients receiving neoadjuvant chemotherapy. All the four proteins, PKM2, GFPT1, G6PD and p53, are prognostic markers of breast cancer. The correlation among them suggests that there may be crosstalk of the four proteins in breast cancer.

Indexed as

Neoadjuvant TherapyAdultAgedAntineoplastic Combined Chemotherapy ProtocolsBiomarkers, TumorCarrier ProteinsCase-Control StudiesFemaleFollow-Up StudiesGlucosephosphate DehydrogenaseGlutamine-Fructose-6-Phosphate Transaminase (Isomerizing)HumansImmunoenzyme TechniquesMembrane ProteinsMiddle AgedMutationBiomarkers, TumorCarrier ProteinsGFPT1 protein, humanGlucosephosphate DehydrogenaseGlutamine-Fructose-6-Phosphate Transaminase (Isomerizing)Membrane ProteinsThyroid Hormone-Binding ProteinsThyroid HormonesTP53 protein, humanTumor Suppressor Protein p53Breast cancerGlycolysisHexosamine biosynthetic pathwayNeoadjuvant chemotherapyPentose phosphate pathwayPrognostic and predictive value

Identifiers

PMID26715276
OpenAlexW2201278674

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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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.