Evidence map›Paper›PMID 32106643›Full record

ArticleCancer research and treatment2020

Clinical Implications of Circulating Tumor DNA from Ascites and Serial Plasma in Ovarian Cancer.

Mi-Ryung Han, Sug Hyung Lee, Jung Yoon Park, Hyosun Hong, Jung Yoon Ho, Soo Young Hur, Youn Jin Choi

Open access · diamondAbstract read
In one paragraph

Article in Cancer research and treatment, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 2 pooled it
1.7field-weighted citation impact, top 16% 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

32 citing papers in PubMed, 2 syntheses or guidelines pooled it, 42 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Review
  5. Review
  6. Review
  7. Article
  8. Article
  9. Review
  10. Review
  11. Article
  12. Review
  13. Review
  14. Article
  15. Review
  16. Review
  17. Article
  18. Review
  19. Review
  20. Review
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 4 institutions in 1 country.

Mi-Ryung HanDivision of Life Sciences, College of Life Sciences and Bioengineering, Incheon National University, Incheon, Korea.
Sug Hyung LeeDepartment of Pathology, College of Medicine, The Catholic University of Korea, Seoul, Korea.
Jung Yoon ParkDepartment of Obstetrics and Gynecology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea.
Hyosun HongDepartment of Laboratory Medicine, Korea University Anam Hospital, Korea University College of Medicine, Seoul, Korea.
Jung Yoon HoDepartment of Obstetrics and Gynecology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea.
Soo Young HurDepartment of Obstetrics and Gynecology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea.
Youn Jin ChoiDepartment of Obstetrics and Gynecology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea.
Seoul St. Mary's Hospital · KRCatholic University of Korea · KRIncheon National University · KRKorea University Medical Center · KR

Funding

Incheon National UniversityNational Research Foundation of Korea 2016R1D1A1B04932862
6 · The paper itself

Abstract

purposeThe purpose of this study was to identify the clinical utility of circulating tumor DNA (ctDNA) from ascites and serial plasma samples from epithelial ovarian cancer (EOC) patients. MATERIALS AND

methodsUsing targeted next-generation sequencing, we analyzed a total of 55 EOC samples including ctDNA from ascites and serial plasma and gDNA from tumor tissues. Tumor tissues and ascites were collected during debulking surgeries and plasma samples were collected before and after the surgeries. Because one EOC patient underwent secondary debulking surgery, a total of 11 tumor tissues, 33 plasma samples, and 11 ascites samples were obtained from the 10 patients.

resultsOf the 10 patients, nine (90%) contained somatic mutations in both tumor tissues and ascites ctDNA. This mutational concordance was confirmed through correlation analysis. The mutational concordance between ascites and tumor tissues was valid in recurrent/progressive ovarian cancer. TP53 was the most frequently detected gene with mutations. ctDNA from serial plasma samples identified EOC progression/recurrence at a similar time or even more rapidly than cancer antigen 125, an established serum protein tumor marker for EOC.

conclusionOur data suggest that ascites ctDNA can be used to identify the mutational landscape of ovarian cancer for therapeutic strategy planning.

Indexed as

MutationAdenocarcinoma, Clear CellAdultAscitesBiomarkers, TumorCirculating Tumor DNACystadenocarcinoma, SerousFemaleFollow-Up StudiesHigh-Throughput Nucleotide SequencingHumansLongitudinal StudiesMiddle AgedNeoplasm Recurrence, LocalOvarian NeoplasmsPlasmaBiomarkers, TumorCirculating Tumor DNAAscitesCirculating tumor DNANext-generation sequencingOvarian neoplasmsPlasma

Identifiers

PMID32106643
PMCPMC7373868
OpenAlexW3007474221

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.