Evidence map›Paper›PMID 34010151›Full record

ArticleEndocrine connections2021

SHMT2 expression as a diagnostic and prognostic marker for thyroid cancer.

Meihua Jin, Woo Kyung Lee, Mi-Hyeon You, Ahreum Jang, Sheue-Yann Cheng, Won Gu Kim, Min Ji Jeon, Yu-Mi Lee

Open access · goldAbstract read
In one paragraph

Article in Endocrine connections, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.3field-weighted citation impact, top 11% 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

14 citing papers in PubMed, 18 citations in OpenAlex.

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  10. SHMT2 Induces Stemness and Progression of Head and Neck Cancer.International journal of molecular sciences · 2022
    Article
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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

8 authors at 4 institutions in 2 countries.

Meihua JinDepartment of Internal Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.ORCID 0000-0003-0196-631X
Woo Kyung LeeLaboratory of Molecular Biology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA.ORCID 0000-0002-6737-3173
Mi-Hyeon YouAsan Institute of Life Science, Asan Medical Center, Seoul, Korea.
Ahreum JangDepartment of Internal Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
Sheue-Yann ChengLaboratory of Molecular Biology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA.
Won Gu KimDepartment of Internal Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
Min Ji JeonDepartment of Internal Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
Yu-Mi LeeDepartment of Surgery, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
Asan Medical Center · KRCenter for Cancer Research · USUlsan College · KRUniversity of Ulsan · KR

Funding

Preclinical Mouse Models of Thyroid CancerZIABC011191 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI CHENG, SHEUE-YANN · 2009 to 2025
$13.8M
6 · The paper itself

Abstract

backgroundCatabolism of serine via serine hydroxymethyltransferase2 (SHMT2) through the mitochondrial one-carbon unit pathway is important in tumorigenesis. Therefore, SHMT2 may play a role in thyroid cancer.

methodsThyroid tissue samples and The Cancer Genome Atlas (TCGA) database were used to evaluate SHMT2 expression in thyroid tissues and the association with clinical outcomes.

resultsSHMT2 protein expression was evaluated in thyroid tissues consisting of 52 benign nodules, 129 papillary thyroid carcinomas (PTC) and matched normal samples, and 20 anaplastic thyroid carcinomas (ATC). ATCs presented the highest (95.0%) positivity of SMHT2 protein expression. PTCs showed the second highest (73.6%) positivity of SHMT2 expression, which was significantly higher than that of benign nodules (19.2%, P = 0.016) and normal thyroid tissues (0%, P < 0.001). Analysis of TCGA data showed that SHMT2 messenger RNA (mRNA) expression was significantly higher in tumors than in normal tissues (P < 0.001). When we classified thyroid cancer into high and low groups according to SHMT2 mRNA expression levels, the thyroid differentiation score for the high SHMT2 group was significantly lower than that of the low SHMT2 group (P < 0.001). There was also a significant correlation between SHMT2 mRNA expression and the stemness index (r = 0.41, P < 0.001). The high SHMT2 group had more advanced TNM stages and shorter progression-free survival rates than the low SHMT2 group (P < 0.01 and P = 0.007, respectively).

conclusionSHMT2 expression is higher in thyroid cancers than normal or benign tissues and is associated with de-differentiation and poor clinical outcomes. Thus, SHMT2 might be useful as a diagnostic and prognostic marker for thyroid cancer.

Indexed as

diagnosisprognosisSHMT2thyroid cancer

Identifiers

PMID34010151
PMCPMC8240706
OpenAlexW3160849398

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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.