Evidence map›Paper›PMID 37024829›Full record

ArticleBMC cancer2023

Whole-exome mutational landscape and molecular marker study in mucinous and clear cell ovarian cancer cell lines 3AO and ES2.

Jianxiong Li, Huaguo Liang, Wentao Xiao, Peng Wei, Hongmei Chen, Zexin Chen, Ruihui Yang, Huan Jiang, Yongli Zhang

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.8field-weighted citation impact, top 25% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. AhRR and PPP1R3C: Potential Prognostic Biomarkers for Serous Ovarian Cancer.International journal of molecular sciences · 2023
    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

9 authors at 3 institutions in 1 country.

Jianxiong LiLonggang District Maternity & Child Healthcare Hospital of Shenzhen City (Longgang Maternity and Child Institute of Shantou University Medical College), Shenzhen, PR, China.
Huaguo LiangSchool of Life Sciences and Biopharmaceutics, Guangdong Pharmaceutical University, Guangzhou, PR, China.
Wentao XiaoLonggang District Maternity & Child Healthcare Hospital of Shenzhen City (Longgang Maternity and Child Institute of Shantou University Medical College), Shenzhen, PR, China.
Peng WeiSchool of Life Sciences and Biopharmaceutics, Guangdong Pharmaceutical University, Guangzhou, PR, China.
Hongmei ChenSchool of Life Sciences and Biopharmaceutics, Guangdong Pharmaceutical University, Guangzhou, PR, China.
Zexin ChenSchool of Life Sciences and Biopharmaceutics, Guangdong Pharmaceutical University, Guangzhou, PR, China.
Ruihui YangSchool of Life Sciences and Biopharmaceutics, Guangdong Pharmaceutical University, Guangzhou, PR, China.
Huan JiangLonggang District Maternity & Child Healthcare Hospital of Shenzhen City (Longgang Maternity and Child Institute of Shantou University Medical College), Shenzhen, PR, China. YuanaJiang@163.com.
Yongli ZhangSchool of Life Sciences and Biopharmaceutics, Guangdong Pharmaceutical University, Guangzhou, PR, China. zyl28_gdpu@163.com.
Guangdong Pharmaceutical University · CNShantou University · CNShenzhen Maternity and Child Healthcare Hospital · CN

Funding

Medical and Health Technology Project of Shenzhen Longgang District LGKCYLWS2021000023National Natural Science Foundation of China 81102753
6 · The paper itself

Abstract

backgroundOvarian cancer is one of the most lethal cancers in women because it is often diagnosed at an advanced stage. The molecular markers investigated thus far have been unsatisfactory.

methodsWe performed whole-exome sequencing on the human ovarian cancer cell lines 3AO and ES2 and the normal ovarian epithelial cell line IOSE-80. Molecular markers of ovarian cancer were screened from shared mutation genes and copy number variation genes in the 6q21-qter region.

resultsWe found that missense mutations were the most common mutations in the gene (93%). The MUC12, FLG and MUC16 genes were highly mutated in 3AO and ES2 cells. Copy number amplification occurred mainly in 4p16.1 and 11q14.3, and copy number deletions occurred in 4q34.3 and 18p11.21. A total of 23 hub genes were screened, of which 16 were closely related to the survival of ovarian cancer patients. The three genes CCDC170, THBS2 and COL14A1 are most significantly correlated with the survival and prognosis of ovarian cancer. In particular, the overall survival of ovarian cancer patients with high CCDC170 gene expression was significantly prolonged (P < 0.001). The expression of CCDC170 in normal tissues was significantly higher than that in ovarian cancer tissues (P < 0.05), and its expression was significantly decreased in advanced ovarian cancer. Western blotting and immunofluorescence assays also showed that the expression of CCDC170 in ovarian cancer cells was significantly lower than that in normal cells (P < 0.001, P < 0.01).

conclusionsCCDC170 is expected to become a new diagnostic molecular target and prognostic indicator for ovarian cancer patients, which can provide new ideas for the design of antitumor drugs.

Indexed as

Ovarian NeoplasmsBiomarkersCell Line, TumorDNA Copy Number VariationsExomeFemaleHumansMutationBiomarkersCCDC170COL14A1Molecular markersOvarian cancerTHBS2Whole-exome sequencing

Identifiers

PMID37024829
PMCPMC10080944
OpenAlexW4362663985

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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.