Evidence map›Paper›PMID 41286758›Full record

ArticleBMC cancer2025

Recurrence risk prediction in resected stage I-III melanoma utilizing circulating tumor DNA.

Mengke Zhao, Lianjun Zhao, Yueling Yang, Fufeng Wang, Jiani Yin, Xiaoying Wu, Yu Ren, Xinyu Su, Yirong Wu, Luqiao Li and 4 more

Erratum issuedAbstract read
In one paragraph

Article in BMC cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. 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. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors.

Mengke ZhaoDepartment of the Comprehensive Cancer Center, Nanjing Drum Tower Hospital, Clinical College of Nanjing Medical University, Nanjing, China.
Lianjun ZhaoDepartment of the Comprehensive Cancer Center, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China.
Yueling YangDepartment of the Comprehensive Cancer Center, Nanjing Drum Tower Hospital, Clinical College of Nanjing University of Chinese Medicine, Nanjing, China.
Fufeng WangNanjing Geneseeq Technology Inc., Nanjing, Jiangsu, China.
Jiani YinNanjing Geneseeq Technology Inc., Nanjing, Jiangsu, China.
Xiaoying WuNanjing Geneseeq Technology Inc., Nanjing, Jiangsu, China.
Yu RenDepartment of the Comprehensive Cancer Center, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China.
Xinyu SuDepartment of the Comprehensive Cancer Center, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China.
Yirong WuDepartment of the Comprehensive Cancer Center, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China.
Luqiao LiDepartment of the Comprehensive Cancer Center, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China.
Rong HuangDepartment of the Comprehensive Cancer Center, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China.
Kelin ZhengDepartment of the Comprehensive Cancer Center, Nanjing Drum Tower Hospital, Clinical College of Nanjing University of Chinese Medicine, Nanjing, China.
JiaYu WangDepartment of the Comprehensive Cancer Center, Nanjing Drum Tower Hospital, Clinical College of Nanjing University of Chinese Medicine, Nanjing, China.
Zhengyun ZouDepartment of the Comprehensive Cancer Center, Nanjing Drum Tower Hospital, Clinical College of Nanjing Medical University, Nanjing, China. zouzhengyun@njglyy.com.

Funding

National Natural Science Foundation of China 81872484
6 · The paper itself

Abstract

backgroundAdjuvant therapies are now considered standard care for high-risk melanoma patients. It is urgent to identify reliable biomarkers to select patients at high risk of relapse, who will derive more benefit from adjuvant therapy.

methodsTargeted next-generation sequencing using a 437 cancer-related gene panel was performed on primary tumor samples from 55 patients in stage I-III melanoma and postsurgical plasma samples from 46 patients. Association analysis of clinico-genomic characteristics with disease-free survival was conducted.

resultsThe median DFS was 39.2 months (rangement: 1.4-49.7 months). Patients receiving anti-PD-1 adjuvant therapy had a longer DFS than those receiving adjuvant interferon therapy (mDFS, NA vs. 21.3 months, HR 0.36 [95% CI: 0.13-1.03], P = 0.047). No significant correlation of DFS with driver mutations in BRAF, NRAS and KIT was observed. Chromosomal instability score (CIS) was identified as an independent predictive factor of DFS following adjustment for clinical and genetic factors (HR 4.06 [95% CI: 1.28-12.89], P = 0.017), with an inferior DFS observed in patients with high CIS compared with the CIS-low patients (mDFS, 14.3 vs. 49.7 months, HR 3.90 [95%CI: 1.40-11.00], P = 0.005). In addition, patients with a maxVAF > 1% in the postsurgical ctDNA had a worse DFS compared with those with a maxVAF ≤1% (mDFS, 11.0 vs. 49.7 months, HR 3.70 [95% CI: 1.20-11.00], P = 0.012). Finally, CIS and postsurgical ctDNA status were considered as independent factors for recurrence risk in stage I-III melanoma.

conclusionIdentification of clinical and genetic biomarkers for recurrence risk prediction in resected melanoma may aid in clinical decision-making for early disease monitoring and optimal design of therapeutic strategies.

Indexed as

Biomarkers, TumorCirculating Tumor DNAMelanomaNeoplasm Recurrence, LocalSkin NeoplasmsAdultAgedAged, 80 and overDisease-Free SurvivalFemaleHigh-Throughput Nucleotide SequencingHumansMaleMiddle AgedMutationNeoplasm StagingBiomarkers, TumorCirculating Tumor DNAChromosomal instabilityPostsurgical ctdnaPredictive biomarkersRecurrence riskResectable melanoma

Identifiers

PMID41286758
PMCPMC12641966

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.