Evidence map›Paper›PMID 31268882›Full record

ArticleChinese medical journal2019

Intra-tumor heterogeneity for endometrial cancer and its clinical significance.

Fu-Fen Yin, Li-Jun Zhao, Xiao-Yu Ji, Ning Duan, Yan-Kui Wang, Jing-Yi Zhou, Li-Hui Wei, Xiang-Jun He, Jian-Liu Wang, Xiao-Ping Li

Open access · goldAbstract read
In one paragraph

Article in Chinese medical journal, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.2field-weighted citation impact, top 20% 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

9 citing papers in PubMed, 14 citations in OpenAlex.

  1. Review
  2. Article
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  9. Grading of endometrial cancer usingScientific reports · 2021
    Article
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

10 authors at 2 institutions in 1 country.

Fu-Fen YinDepartment of Obstetrics and Gynecology, Peking University People's Hospital, Beijing 100044, China.
Li-Jun ZhaoDepartment of Obstetrics and Gynecology, Peking University People's Hospital, Beijing 100044, China.
Xiao-Yu JiDepartment of Obstetrics and Gynecology, Affiliated Hospital of Qingdao University, Qingdao, Shandong 266000, China.
Ning DuanDepartment of Obstetrics and Gynecology, Affiliated Hospital of Qingdao University, Qingdao, Shandong 266000, China.
Yan-Kui WangDepartment of Obstetrics and Gynecology, Affiliated Hospital of Qingdao University, Qingdao, Shandong 266000, China.
Jing-Yi ZhouDepartment of Obstetrics and Gynecology, Peking University People's Hospital, Beijing 100044, China.
Li-Hui WeiDepartment of Obstetrics and Gynecology, Peking University People's Hospital, Beijing 100044, China.
Xiang-Jun HeDepartment of Obstetrics and Gynecology, Peking University People's Hospital, Beijing 100044, China.
Jian-Liu WangDepartment of Obstetrics and Gynecology, Peking University People's Hospital, Beijing 100044, China.
Xiao-Ping LiDepartment of Obstetrics and Gynecology, Peking University People's Hospital, Beijing 100044, China.
Peking University · CNPeking University People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundManagement of tumors has become more complex owing to tumor heterogeneity. Fewer studies have been performed on intra-tumor heterogeneity of endometrial cancer (EC) until now. Therefore, it is of great clinical value to explore the intra-tumor heterogeneity of EC based on clinical features and gene expression profiles.

methodsA total of 1688 patients with EC were screened and 114 patients were finally selected, including specimens from 84 patients with primary EC without relapse (PE) and the paired metastases (P-M) specimens, as well as specimens from 30 patients with primary EC with relapse (RPE) and the paired relapsed EC (P-RE) specimens. Microarray and RNA-seq were used to detect gene expression of EC samples. Clinicopathological characteristics and molecular data were compared between PE and P-M groups and between RPE and P-RE groups to explore the intra-tumor heterogeneity of EC.

resultsThe clinical intra-tumor spatial heterogeneity of pathological type, grade, ER status, and PR status between PE and P-M were 17.9%, 13.1%, 28.6%, and 28.6%, respectively. The clinical intra-tumor spatiotemporal heterogeneity of pathological type, grade, ER status, and PR status between RPE and P-RE were 16.7%, 33.3%, 25.0%, and 37.5%, respectively. Cluster analysis sorts EC samples based on progression type of lesion and their pathological type. There were differentially expressed genes between PE and P-M and between RPE and P-RE, of which gene ontology and Kyoto Encyclopedia of Genes and Genomes analysis were mainly enriched in cell proliferation, the p53 signaling pathway, etc.

conclusions: Clinical and molecular data showed that there was spatiotemporal heterogeneity in intra-tumor of EC, which may add to the complexity of diagnosis and therapeutics for EC. Considering the intra-tumor heterogeneity, sequential chemotherapy and precision medicine may be a more suitable treatment plan for EC.

Indexed as

AdultAgedCell ProliferationCluster AnalysisEndometrial NeoplasmsFemaleHumansMicroarray AnalysisMiddle AgedOligonucleotide Array Sequence AnalysisTumor Suppressor Protein p53Young AdultTumor Suppressor Protein p53

Identifiers

PMID31268882
PMCPMC6616225
OpenAlexW2943889561

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.