Evidence map›Paper›PMID 42180855›Full record

ArticleTranslational cancer research2026

Clinical significance of circulating tumor DNA monitoring based on TP53 mutation in high-grade serous ovarian cancer patients.

Heejung Jung, Ok-Ju Kang, Young-Jae Lee, Sung Wan Kang, Min-Seo Lee, Shin-Wha Lee, Yong Man Kim

Abstract read
In one paragraph

Article in Translational cancer research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. 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.

Heejung Jung *Department of Obstetrics and Gynecology, Korea Cancer Center Hospital, Korea Institute of Radiological and Medical Sciences, Seoul, Korea.ORCID https://orcid.org/0000-0003-3021-765X
Ok-Ju Kang *Department of Obstetrics and Gynecology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0002-4574-5124
Young-Jae LeeDepartment of Obstetrics and Gynecology, Gangneung Asan Hospital, University of Ulsan College of Medicine, Gangneong, Korea.ORCID https://orcid.org/0000-0001-6557-2454
Sung Wan KangDepartment of Obstetrics and Gynecology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0002-7360-8311
Min-Seo LeeDepartment of Obstetrics and Gynecology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.ORCID https://orcid.org/0009-0005-1367-5458
Shin-Wha LeeDepartment of Obstetrics and Gynecology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0002-5088-1905
Yong Man KimDepartment of Obstetrics and Gynecology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0003-3225-5748

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: High-grade serous ovarian cancer (HGSOC) is characterized by aggressive clinical behavior and a high risk of recurrence. Cancer antigen 125 (CA-125) is widely used for monitoring treatment response and disease recurrence; however, its limited sensitivity and specificity, particularly during surveillance, highlight the need for more reliable biomarkers. Circulating tumor DNA (ctDNA) has emerged as a promising tool for real-time disease monitoring, and TP53 mutations-present in nearly all HGSOC cases-provide an ideal target for personalized ctDNA-based assays. This study evaluated the translational utility of patient-specific TP53 mutation-based ctDNA monitoring using droplet digital PCR (ddPCR) in patients with HGSOC. Methods: We conducted a prospective, observational, single-institution study of 25 patients diagnosed with HGSOC. All patients underwent primary debulking surgery followed by adjuvant chemotherapy. Tumor tissues were analyzed to identify patient-specific TP53 mutations, and corresponding plasma samples were analyzed using ddPCR. TP53 mutant allele count (TP53MAC) levels were measured longitudinally throughout the treatment period and follow-up and were compared with CA-125 levels. Results: All TP53 mutations identified in tumor tissues were concordantly detected in matched plasma ctDNA samples, confirming the analytical validity of ddPCR-based TP53MAC assessment. TP53MAC levels declined significantly after surgery (P=0.003) and chemotherapy (P=0.01), in parallel with reductions in CA-125. Longitudinal monitoring demonstrated heterogeneous biomarker dynamics, with discordant patterns between TP53MAC and CA-125 observed in selected recurrent cases. In receiver operating characteristic curve analyses, TP53MAC showed predictive performance comparable to CA-125 across treatment and follow-up time points. At a fixed specificity of 78-80%, TP53MAC demonstrated higher sensitivity and positive likelihood ratios than CA-125 at selected post-treatment time points. Conclusions: TP53 mutation-informed ctDNA monitoring using droplet digital PCR may provide complementary clinical information as an adjunct to CA-125 for assessing treatment response and detecting disease recurrence in patients with HGSOC, supporting its potential role in longitudinal disease surveillance.

Indexed as

circulating tumor DNA (ctDNA)droplet digital PCR (ddPCR)High-grade serous ovarian cancer (HGSOC)TP53 mutation

Identifiers

PMID42180855
PMCPMC13190892

What Socratic holds

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LicenceCC BY-NC-ND
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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.