Evidence map›Paper›PMID 40475254›Full record

ArticleCancer innovation2025

Prediction of Therapeutic Response and Prognosis in Ovarian Cancer Patients With Plasma Circulating Biomarkers.

Haixia Cheng, Guangwen Yuan, Leilei Liang, Tiantian Wang, Jiarun Zhu, Hongying Yang, Zhendiao Zhou, Pei Wang, Qianqian Song, Yuchen Jiao and 2 more

Abstract read
In one paragraph

Article in Cancer innovation, 2025. 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

12 authors.

Haixia ChengLaboratory of Cell and Molecular Biology & State Key Laboratory of Molecular Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China.
Guangwen YuanDepartment of Gynecologic Oncology National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China.
Leilei LiangDepartment of Gynecologic Oncology National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China.
Tiantian WangDepartment of Gynecologic Oncology National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China.
Jiarun ZhuLaboratory of Cell and Molecular Biology & State Key Laboratory of Molecular Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China.
Hongying YangPeking University Cancer Hospital Yunnan Hospital/Yunnan Provincial Cancer Hospital/The Third Affiliated Hospital of Kunming Medical University Kunming Yunnan China.
Zhendiao ZhouLaboratory of Cell and Molecular Biology & State Key Laboratory of Molecular Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China.
Pei WangLaboratory of Cell and Molecular Biology & State Key Laboratory of Molecular Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China.
Qianqian SongLaboratory of Cell and Molecular Biology & State Key Laboratory of Molecular Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China.
Yuchen JiaoLaboratory of Cell and Molecular Biology & State Key Laboratory of Molecular Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China.
Mei LiuLaboratory of Cell and Molecular Biology & State Key Laboratory of Molecular Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China.ORCID https://orcid.org/0000-0002-7364-6318
Lingying WuDepartment of Gynecologic Oncology National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: To assess whether changes in TP53 mutations and copy number alterations (CNA) in plasma circulating tumor DNA (ctDNA) can predict treatment response and prognosis in platinum-resistant recurrent ovarian cancer (PROC) patients. Methods: Fifty-seven PROC patients were recruited. Forty-three patients with matched tumor and plasma samples were analyzed via both a tumor-informed ctDNA assay (TICA) and a tumor-uninformed ctDNA assay (TUCA) profiling TP53 mutations and CNA. The TUCA algorithm was optimized based on TICA results. Fourteen patients without matched tumor tissues were used just for TUCA analysis. Results: A ctDNA decrease of ≥ 80% from baseline or ctDNA negativity during treatment detected by the TICA (defined as favorable TICA changes) strategy before the third cycle predicted the best overall response, with 81.8% sensitivity and 84.6% specificity. The TUCA strategy was defined as a combination of TP53 mutations and CNA changes. A favorable TUCA change before the third cycle predicted the best overall response, with 90.0% sensitivity and 63.2% specificity. In 12 patients without clinical benefit, the median lead time to detect drug resistance from TUCA to the Response Evaluation Criteria in Solid Tumors was 86.0 days. Patients with favorable ctDNA changes ( Conclusions: Similar to TICA, ctDNA changes detected by TUCA combined with TP53 mutations and CNA could predict treatment response and prognosis in PROC patients without requiring tumor tissues.

Indexed as

circulating tumor DNAcopy number alterationsovarian cancerTP53 mutations

Identifiers

PMID40475254
PMCPMC12137190

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Registered trials

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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 OpenQuestion graph.