Evidence map›Paper›PMID 27666119›Full record

ArticleOncology reports2016

Prognostic and therapeutic value of mitochondrial serine hydroxyl-methyltransferase 2 as a breast cancer biomarker.

Lahong Zhang, Zhaojun Chen, Dan Xue, Qi Zhang, Xiyong Liu, Frank Luh, Liquan Hong, Hang Zhang, Feng Pan, Yuhua Liu and 4 more

Open access · hybridAbstract read
In one paragraph

Article in Oncology reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
1.7field-weighted citation impact, top 15% 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

32 citing papers in PubMed, 46 citations in OpenAlex.

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  14. Exploration of the Effect on Genome-Wide DNA Methylation byInternational journal of molecular sciences · 2021
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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

14 authors at 4 institutions in 2 countries.

Lahong ZhangDepartment of Laboratory Medicine, Affiliated Hospital of Hangzhou Normal University, Hangzhou, Zhejiang 310015, P.R. China.
Zhaojun ChenDepartment of Laboratory Medicine, Affiliated Hospital of Hangzhou Normal University, Hangzhou, Zhejiang 310015, P.R. China.
Dan XueDepartment of Plastic Surgery, Second Affiliated Hospital of Zhejiang University, Hangzhou, Zhejiang 310009, P.R. China.
Qi ZhangHangzhou Hope Biotechnology Inc., Hangzhou, Zhejiang 310015, P.R. China.
Xiyong LiuBiomarker Development, California Cancer Institute, Temple City, CA 91780, USA.
Frank LuhTaipei Medical University, School of Medicine, Taipei 110, Taiwan, R.O.C.
Liquan HongDepartment of Laboratory Medicine, Affiliated Hospital of Hangzhou Normal University, Hangzhou, Zhejiang 310015, P.R. China.
Hang ZhangCancer Institute, Zhejiang University, Hangzhou, Zhejiang 310009, P.R. China.
Feng PanDepartment of Laboratory Medicine, Affiliated Hospital of Hangzhou Normal University, Hangzhou, Zhejiang 310015, P.R. China.
Yuhua LiuDepartment of Laboratory Medicine, Affiliated Hospital of Hangzhou Normal University, Hangzhou, Zhejiang 310015, P.R. China.
Peiguo ChuDepartment of Pathology, City of Hope National Medical Center, Duarte, CA 91010, USA.
Shu ZhengSino-American Cancer Foundation, Temple City, CA 91780, USA.
Guoqiang LouDepartment of Laboratory Medicine, Affiliated Hospital of Hangzhou Normal University, Hangzhou, Zhejiang 310015, P.R. China.
Yun YenTaipei Medical University, Taipei 110, Taiwan, R.O.C.
Affiliated Hospital of Hangzhou Normal University · CNCity Of Hope National Medical Center · USSecond Affiliated Hospital of Zhejiang University · CNZhejiang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mitochondrial serine hydroxylmethyltransferase 2 (SHMT2) is a key enzyme in the serine/glycine synthesis pathway. SHMT2 has been implicated as a critical component for tumor cell survival. The aim of the present study was to evaluate the prognostic value and efficiency of SHMT2 as a biomarker in patients with breast cancer. Individual and pooled survival analyses were performed on five independent breast cancer microarray datasets. Gene signatures enriched by SHMT2 were also analyzed in these datasets. SHMT2 protein expression was detected using immunohistochemistry (IHC) assay in 128 breast cancer cases. Gene set enrichment analysis revealed that SHMT2 was significantly associated with gene signatures of mitochondrial module, cancer invasion, metastasis and poor survival among breast cancer patients (p<0.05). The clinical relevance of SHMT2 was validated on IHC data. The mitochondrial localization of SHMT2 protein was visualized on IHC staining. Independent and pooled analysis confirmed that SHMT2 expression was associated with breast cancer tumor aggressiveness (TNM staging and Elson grade) in a dose-dependent manner (p<0.05). The prognostic performance of SHMT2 mRNA was comparable to other gene signatures and proved superior to TNM staging. Further analysis results indicated that SHMT2 had better prognostic value for estrogen receptor (ER)-negative breast cancer patients, compared to ER-positive patients. In cases involving stage IIb breast cancer, chemotherapy significantly extended survival time among patients with high SHMT2 expression. These results indicate that SHMT2 may be a valuable prognostic biomarker in ER-negative breast cancer cases. Furthermore, SHMT2 may be a potential target for breast cancer treatment and drug discovery.

Indexed as

PrognosisAdultAgedBiomarkers, TumorBreast NeoplasmsEstrogen Receptor alphaFemaleGene Expression Regulation, NeoplasticGlycine HydroxymethyltransferaseHumansMiddle AgedMitochondriaNeoplasm StagingBiomarkers, TumorEstrogen Receptor alphaGlycine HydroxymethyltransferaseSHMT protein, human

Identifiers

PMID27666119
PMCPMC5055214
OpenAlexW2521390218

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.