Evidence map›Paper›PMID 38201563›Full record

ArticleCancers2023

Genomic Landscape of Endometrial, Ovarian, and Cervical Cancers in Japan from the Database in the Center for Cancer Genomics and Advanced Therapeutics.

Qian Xi, Hidenori Kage, Miho Ogawa, Asami Matsunaga, Akira Nishijima, Kenbun Sone, Kei Kawana, Katsutoshi Oda

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
3.3field-weighted citation impact, top 8% 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

13 citing papers in PubMed, 12 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Observational
  11. Article
  12. Review
  13. 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

8 authors at 2 institutions in 1 country.

Qian XiDivision of Integrative Genomics, Graduate School of Medicine, The University of Tokyo, Tokyo 113-8654, Japan.ORCID 0009-0008-6436-5515
Hidenori KageDepartment of Respiratory Medicine, Graduate School of Medicine, The University of Tokyo, Tokyo 113-8654, Japan.ORCID 0000-0003-3658-4442
Miho OgawaNext-Generation Precision Medicine Development Laboratory, Graduate School of Medicine, The University of Tokyo, Tokyo 113-8654, Japan.
Asami MatsunagaDivision of Integrative Genomics, Graduate School of Medicine, The University of Tokyo, Tokyo 113-8654, Japan.
Akira NishijimaDepartment of Obstetrics and Gynecology, Graduate School of Medicine, The University of Tokyo, Tokyo 113-8654, Japan.
Kenbun SoneDepartment of Obstetrics and Gynecology, Graduate School of Medicine, The University of Tokyo, Tokyo 113-8654, Japan.ORCID 0000-0002-7218-6401
Kei KawanaDepartment of Obstetrics and Gynecology, Graduate School of Medicine, Nihon University, Tokyo 173-8610, Japan.
Katsutoshi OdaDivision of Integrative Genomics, Graduate School of Medicine, The University of Tokyo, Tokyo 113-8654, Japan.ORCID 0000-0002-2468-9573
The University of Tokyo · JPNihon University · JP

Funding

Ministry of Education, Culture, Sports, Science and Technology 21H03074
6 · The paper itself

Abstract

This study aimed to comprehensively clarify the genomic landscape and its association with tumor mutational burden-high (TMB-H, ≥10 mut/Mb) and microsatellite instability-high (MSI-H) in endometrial, cervical, and ovarian cancers. We obtained genomic datasets of a comprehensive genomic profiling test, FoundationOne

Indexed as

cervical cancercomprehensive genomic profilingendometrial cancergenomic landscapemicrosatellite instabilityovarian cancertumor mutational burden

Identifiers

PMID38201563
PMCPMC10778092
OpenAlexW4390272340

What Socratic 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 Socratic graph.