Evidence map›Paper›PMID 30246154›Full record

ReviewNPJ precision oncology2018

Tumor evolution and chemoresistance in ovarian cancer.

Soochi Kim, Youngjin Han, Se Ik Kim, Hee-Seung Kim, Seong Jin Kim, Yong Sang Song

Open access · goldAbstract readReview
In one paragraph

Review in NPJ precision oncology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 112 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
112citing papers in PubMed, 1 pooled it
17.9field-weighted citation impact, top 1% 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

112 citing papers in PubMed, 1 synthesis or guideline pooled it, 190 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Review
  9. Article
  10. Biomarker-Driven Treatments for Ovarian Cancer: Moving Beyond HRD?International journal of women's health · 2026
    Review
  11. Article
  12. Article
  13. EMT and cancer stem cells: Drivers of therapy resistance and promising therapeutic targets.Drug resistance updates : reviews and commentaries in antimicrobial and anticancer chemotherapy · 2025
    Review
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Review
  20. Article

52 more citing papers are in PubMed but not listed here.

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

6 authors at 2 institutions in 4 countries.

Soochi Kim1Seoul National University Hospital Biomedical Research Institute, Seoul, 03080 Republic of Korea.
Youngjin Han2Cancer Research Institute, Seoul National University College of Medicine, Seoul, 03080 Republic of Korea.
Se Ik Kim4Department of Obstetrics and Gynecology, Seoul National University College of Medicine, Seoul, 03080 Republic of Korea.ORCID 0000-0002-9790-6735
Hee-Seung Kim4Department of Obstetrics and Gynecology, Seoul National University College of Medicine, Seoul, 03080 Republic of Korea.
Seong Jin Kim5Precision Medicine Research Center, Advanced Institutes of Convergence Technology, Seoul National University, Suwon, Gyeonggi-do 16229 Republic of Korea.
Yong Sang Song2Cancer Research Institute, Seoul National University College of Medicine, Seoul, 03080 Republic of Korea.
Seoul National University · KRSeoul National University of Science and Technology · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Development of novel strategies to overcome chemoresistance is central goal in ovarian cancer research. Natural history of the cancer development and progression is being reconstructed by genomic datasets to understand the evolutionary pattern and direction. Recent studies suggest that intra-tumor heterogeneity (ITH) is the main cause of treatment failure by chemoresistance in many types of cancers including ovarian cancer. ITH increases the fitness of tumor to adapt to incompatible microenvironment. Understanding ITH in relation to the evolutionary pattern may result in the development of the innovative approach based on individual variability in the genetic, environment, and life style. Thus, we can reach the new big stage conquering the cancer. In this review, we will discuss the recent advances in understanding ovarian cancer biology through the use of next generation sequencing (NGS) and highlight areas of recent progress to improve precision medicine in ovarian cancer.

Identifiers

PMID30246154
PMCPMC6141595
OpenAlexW2889341421

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.