Evidence map›Paper›PMID 35326657›Full record

ArticleCancers2022

Development of Low-Grade Serous Ovarian Carcinoma from Benign Ovarian Serous Cystadenoma Cells.

Puja Dey, Kentaro Nakayama, Sultana Razia, Masako Ishikawa, Tomoka Ishibashi, Hitomi Yamashita, Kosuke Kanno, Seiya Sato, Tohru Kiyono, Satoru Kyo

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.4field-weighted citation impact, top 12% 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

7 citing papers in PubMed, 14 citations in OpenAlex.

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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

10 authors at 1 institution in 1 country.

Puja DeyDepartment of Obstetrics and Gynecology, Shimane University Faculty of Medicine, Izumo 693-8501, Japan.
Kentaro NakayamaDepartment of Obstetrics and Gynecology, Shimane University Faculty of Medicine, Izumo 693-8501, Japan.
Sultana RaziaDepartment of Obstetrics and Gynecology, Shimane University Faculty of Medicine, Izumo 693-8501, Japan.
Masako IshikawaDepartment of Obstetrics and Gynecology, Shimane University Faculty of Medicine, Izumo 693-8501, Japan.
Tomoka IshibashiDepartment of Obstetrics and Gynecology, Shimane University Faculty of Medicine, Izumo 693-8501, Japan.
Hitomi YamashitaDepartment of Obstetrics and Gynecology, Shimane University Faculty of Medicine, Izumo 693-8501, Japan.
Kosuke KannoDepartment of Obstetrics and Gynecology, Shimane University Faculty of Medicine, Izumo 693-8501, Japan.
Seiya SatoDepartment of Obstetrics and Gynecology, Shimane University Faculty of Medicine, Izumo 693-8501, Japan.
Tohru KiyonoProject for Prevention of HPV-Related Cancer, National Cancer Center, Exploratory Oncology Research and Clinical Trial Center (EPOC), Kashiwa 277-8577, Japan.ORCID 0000-0003-1769-403X
Satoru KyoDepartment of Obstetrics and Gynecology, Shimane University Faculty of Medicine, Izumo 693-8501, Japan.
Shimane University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite the knowledge about numerous genetic mutations essential for the progression of low-grade serous ovarian carcinoma (LGSOC), the specific combination of mutations required remains unclear. Here, we aimed to recognize the oncogenic mutations responsible for the stepwise development of LGSOC using immortalized HOVs-cyst-1 cells, developed from ovarian serous cystadenoma cells, and immortalized via

Indexed as

carcinogenesisKRASlow-grade serous ovarian carcinomaovarian cancerovarian serous cystadenomaPIK3CA

Identifiers

PMID35326657
PMCPMC8946187
OpenAlexW4220804561

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.