Evidence map›Paper›PMID 35038288›Full record

ArticleBosnian journal of basic medical sciences2022

Whole-exome sequencing reveals rare genetic variations in ovarian granulosa cell tumor.

Seungyeon Kim, Songmi Kim, Seyoung Mun, Yongsik Kwak, Kwang-Sun Suh, Song-Yi Choi, Kyudong Han

Open access · goldAbstract read
In one paragraph

Article in Bosnian journal of basic medical sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.6field-weighted citation impact, top 33% 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

4 citing papers in PubMed, 3 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. 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

7 authors at 2 institutions in 1 country.

Seungyeon KimDepartment of Microbiology, College of Science and Technology, Dankook University, Cheonan, Republic of Korea.
Songmi KimDepartment of Microbiology, College of Science and Technology, Dankook University, Cheonan, Republic of Korea; Center for Bio-Medical Engineering Core Facility, Dankook University, Cheonan, Republic of Korea.
Seyoung MunDepartment of Nanobiomedical Science, Dankook University, Cheonan, Republic of Korea; Center for Bio-Medical Engineering Core Facility, Dankook University, Cheonan, Republic of Korea.
Yongsik KwakCenter for Bio-Medical Engineering Core Facility, Dankook University, Cheonan, Republic of Korea.
Kwang-Sun SuhDepartment of Pathology, School of Medicine, Chungnam National University, Daejeon, Republic of Korea.
Song-Yi ChoiDepartment of Pathology, School of Medicine, Chungnam National University, Daejeon, Republic of Korea.
Kyudong HanDepartment of Microbiology, College of Science and Technology, Dankook University, Cheonan, Republic of Korea; Center for Bio-Medical Engineering Core Facility, Dankook University, Cheonan, Republic of Korea.
Dankook University · KRChungnam National University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ovarian granulosa cell tumor (OGCT) is a rare ovarian tumor that accounts for about 2-5% of all ovarian tumors. Despite the low grade of ovarian tumors, high and late recurrences are common in OGCT patients. Even though this tumor usually occurs in adult women with high estrogen levels, the cause of OGCT is still unknown. To screen genetic variants associated with OGCT, we collected normal and matched-tumor formalin-fixed paraffin-embedded (FFPE) from 11 OGCT patients and performed whole-exome sequencing (WES) using Illumina NovaSeq 6000. A total of 1,067,219 single nucleotide polymorphisms (SNPs) and 162,155 insertions/deletions (indels) were identified from 11 pairs of samples. Of these, we identified 44 tumor-specific SNPs in 22 genes and four tumor-specific indels in one gene that were common to 11 patients. We used three cancer databases (TCGA, COSMIC, and ICGC) to investigate genes associated with ovarian cancers. Nine genes (SEC22B, FEZ2, ANKRD36B, GYPA, MUC3A, PRSS3, NUTM2A, OR8U1, and KRTAP10-6) associated with ovarian cancers were found in all three databases. In addition, we identified seven rare variants with MAF ≤ 0.05 in two genes (PRSS3 and MUC3A). Of seven rare variants, five variants in MUC3A are potentially pathogenic. Furthermore, we conducted gene enrichment analysis of tumor-specific 417 genes in SNPs and 106 genes in indels using cytoscape and metascape. In GO analysis, these genes were highly enriched in "selective autophagy", and "regulation of anoikis". Taken together, we suggest that MUC3A is implicated in OGCT development, and MUC3A could be used as a potential biomarker for OGCT diagnosis.

Indexed as

Granulosa Cell TumorOvarian NeoplasmsAdultExome SequencingFemaleGenetic VariationHumans

Identifiers

PMID35038288
PMCPMC9162744
OpenAlexW4206799356

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.