Evidence map›Paper›PMID 30134578›Full record

ArticleCancers2018

DNA Mismatch Repair Protein Immunohistochemistry and MLH1 Promotor Methylation Testing for Practical Molecular Classification and the Prediction of Prognosis in Endometrial Cancer.

Jisup Kim, Jin Kyoung Kong, Wookyeom Yang, Hanbyoul Cho, Doo Byung Chay, Bang Hyun Lee, Seong Jin Cho, Soonwon Hong, Jae-Hoon Kim

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 2 pooled it
2.0field-weighted citation impact, top 14% 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

15 citing papers in PubMed, 2 syntheses or guidelines pooled it, 24 citations in OpenAlex.

  1. Guideline
  2. Guideline
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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.

Jisup KimDepartment of Pathology, Yonsei University College of Medicine, 146-92 Dogok-Dong, Gangnam-Gu, Seoul 06273, Korea. jspath@yuhs.ac.
Jin Kyoung KongDepartment of Obstetrics and Gynecology, Gangnam Severance Hospital, Yonsei University College of Medicine, 146-92 Dogok-Dong, Gangnam-Gu, Seoul 06273, Korea. haidami@yuhs.ac.ORCID 0000-0002-2056-6242
Wookyeom YangDepartment of Obstetrics and Gynecology, Gangnam Severance Hospital, Yonsei University College of Medicine, 146-92 Dogok-Dong, Gangnam-Gu, Seoul 06273, Korea. wookyeom@yuhs.ac.
Hanbyoul ChoDepartment of Obstetrics and Gynecology, Gangnam Severance Hospital, Yonsei University College of Medicine, 146-92 Dogok-Dong, Gangnam-Gu, Seoul 06273, Korea. hanbyoul@yuhs.ac.
Doo Byung ChayDepartment of Obstetrics and Gynecology, Gangnam Severance Hospital, Yonsei University College of Medicine, 146-92 Dogok-Dong, Gangnam-Gu, Seoul 06273, Korea. chaydb@yuhs.ac.ORCID 0000-0002-0648-4021
Bang Hyun LeeDepartment of Obstetrics and Gynecology, Kangdong Sacred Heart Hospital, Hallym University College of Medicine, 18, Cheonho-daero 173-gil, Gangdong-gu, Seoul 05355, Korea. Banghyun.lee@gmail.com.
Seong Jin ChoDepartment of Pathology, Kangdong Sacred Heart Hospital, Hallym University College of Medicine, 18, Cheonho-daero 173-gil, Gangdong-gu, Seoul 05355, Korea. apilas@hanmail.net.
Soonwon HongDepartment of Pathology, Yonsei University College of Medicine, 146-92 Dogok-Dong, Gangnam-Gu, Seoul 06273, Korea. soonwonh@yuhs.ac.
Jae-Hoon KimDepartment of Obstetrics and Gynecology, Gangnam Severance Hospital, Yonsei University College of Medicine, 146-92 Dogok-Dong, Gangnam-Gu, Seoul 06273, Korea. jaehoonkim@yuhs.ac.
Yonsei University · KRHallym University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The incidence of endometrial cancer is rapidly increasing worldwide, and its molecular classification has gained importance for new therapeutic approaches. This study sought to examine the clinicopathologic features and immune markers associated with the DNA mismatch repair (MMR) status and MLH1 promoter methylation status of endometrial cancer patients. A total of 173 patients with primary endometrial cancer who had received a hysterectomy were evaluated for four MMR proteins (MLH1, MSH2, MSH6, and PMS2), immune markers (CD8, programmed cell death protein 1 (PD-1), and programmed death-ligand 1 (PD-L1)) and p53 by immunohistochemistry (IHC), followed by an MLH1 methylation test. Patients were classified into MMR deficiency or proficiency, sporadic cancer, or probable Lynch syndrome (PLS), and the clinicopathologic features (including the expression of peritumoral immune markers) and prognosis of each group were compared. Patients with MMR deficiency or PLS showed an increase in immune markers compared those with MMR proficiency or sporadic cancer, respectively, and PLS demonstrated higher immune marker expression than MLH1 promoter methylation. Regarding prognosis, patients with MMR deficiency showed significant adverse overall survival (OS) when in stages I and II. Practical molecular classifications based on p53 staining results, in addition to MMR or PLS status, revealed an increased predictive ability for OS compared with the European Society of Medical Oncologists (ESMO) risk groups. The results of this study suggest that PLS may be a better candidate for an immune checkpoint inhibitor than MMR deficiency. The practical molecular classification contributes not only to the screening of Lynch syndrome, but also assists in predicting the prognosis in endometrial cancer.

Indexed as

endometrial cancermismatch repair deficiencyMLH1 promoter methylation testmolecular classification

Identifiers

PMID30134578
PMCPMC6162750
OpenAlexW2888089836

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.