Evidence map›Paper›PMID 42345005›Full record

ArticleMedComm2026

Dynamics of Circulating Tumor DNA (ctDNA) Predict Treatment Efficacy and Prognosis in Patients With Advanced Pancreatic Cancer: A Prospective Large-Cohort Study.

Tingting You, Hui Tang, Mingming Yuan, Dongfeng Song, Chenyu Wang, Jinrong Ying, Rongrong Chen, Chunmei Bai, Yuejuan Cheng, Yingyi Wang

Abstract read
In one paragraph

Article in MedComm, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Tingting YouDepartment of Medical Oncology Peking Union Medical College Hospital Chinese Academy of Medical Sciences Beijing China.
Hui TangDepartment of Medical Oncology Peking Union Medical College Hospital Chinese Academy of Medical Sciences Beijing China.
Mingming YuanGeneplus-Beijing Beijing China.
Dongfeng SongDepartment of Medical Oncology Peking Union Medical College Hospital Chinese Academy of Medical Sciences Beijing China.
Chenyu WangDepartment of Medical Oncology Peking Union Medical College Hospital Chinese Academy of Medical Sciences Beijing China.
Jinrong YingDepartment of Medical Oncology Peking Union Medical College Hospital Chinese Academy of Medical Sciences Beijing China.
Rongrong ChenGeneplus-Beijing Beijing China.
Chunmei BaiDepartment of Medical Oncology Peking Union Medical College Hospital Chinese Academy of Medical Sciences Beijing China.
Yuejuan ChengDepartment of Medical Oncology Peking Union Medical College Hospital Chinese Academy of Medical Sciences Beijing China.
Yingyi WangDepartment of Medical Oncology Peking Union Medical College Hospital Chinese Academy of Medical Sciences Beijing China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Current methods for assessing treatment response and prognosis in pancreatic ductal adenocarcinoma (PDAC) have intrinsic limitations, necessitating novel biomarkers. This prospective cohort study evaluated whether early dynamic changes in ctDNA predict treatment efficacy and outcomes in advanced PDAC. We enrolled 127 patients receiving first-line therapy, with peripheral blood collected at baseline (B1), first response assessment (B2), and subsequent timepoints for high-depth next-generation sequencing. The ctDNA detection rates significantly decreased from 78.7% at B1 to 55.7% at B2. Elevated CA19-9 levels, ctDNA, and maximum somatic allele frequency (MSAF) were associated with disease progression. Higher B1 ctDNA and MSAF correlated with shorter progression-free survival (PFS) and overall survival (OS), consistent with an external validation cohort. The Cox regression confirmed that MSAF and CA19-9 were significant prognostic factors. In CA19-9-negative PDAC patients, increased ctDNA levels were associated with shorter PFS. This study demonstrated that high ctDNA levels and MSAF values are indicators of poor prognosis. Conversely, a decrease or clearance of ctDNA and MSAF suggests better disease control. In addition, in CA19-9-negative patients, dynamic ctDNA monitoring was able to indicate disease control and predict patient prognosis.

Indexed as

advanced pancreatic cancerctDNA dynamicstreatment efficacy

Identifiers

PMID42345005
PMCPMC13287970

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.