Evidence map›Paper›PMID 36732646›Full record

ArticleMolecular oncology2023

Postoperative circulating tumor DNA can refine risk stratification in resectable lung cancer: results from a multicenter study.

Rui Fu, Jun Huang, Xiaoru Tian, Chaoyang Liang, Yuanyuan Xiong, Jia-Tao Zhang, Benyuan Jiang, Song Dong, Yuhua Gong, Wei Gao and 7 more

Abstract readMulticenter Study
In one paragraph

Article in Molecular oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 2 pooled it
–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

14 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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

17 authors.

Rui FuGuangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
Jun HuangDepartment of Thoracic Surgery and Oncology, the First Affiliated Hospital of Guangzhou Medical University, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, China.
Xiaoru TianDepartment of Thoracic Surgery, Xuanwu Hospital, Capital Medical University, Beijing, China.
Chaoyang LiangDepartment of Thoracic Surgery, China-Japan Friendship Hospital, Beijing, China.
Yuanyuan XiongGeneplus-Beijing, China.ORCID 0000-0002-1768-8978
Jia-Tao ZhangGuangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.ORCID 0000-0003-4302-9332
Benyuan JiangGuangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
Song DongGuangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
Yuhua GongGeneplus-Beijing, China.ORCID 0000-0001-7893-2084
Wei GaoGeneplus-Beijing, China.
Fang LiGeneplus-Beijing, China.
Yonglei ShiGeneplus-Beijing, China.
Zhentian LiuGeneplus-Beijing, China.
Xuan GaoGeneplus-Beijing, China.
Rongrong ChenGeneplus-Beijing, China.
Wenzhao ZhongGuangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.ORCID 0000-0002-8917-8635
Yi ZhangDepartment of Thoracic Surgery, Xuanwu Hospital, Capital Medical University, Beijing, China.ORCID 0000-0001-9583-7732

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Circulating tumor DNA (ctDNA) has potential as a promising biomarker for molecular residual disease (MRD) detection in lung cancer. As the next-generation sequencing standardized panel for ctDNA detection emerges, its clinical utility needs to be validated. We prospectively recruited 184 resectable lung cancer patients from four medical centers. Serial postoperative ctDNAs were analyzed by a standardized panel. A total of 427 postoperative plasma samples from 177 eligible patients were enrolled. ctDNA positivity after surgery was an independent predictor for disease recurrence and preceded radiological recurrence by a median of 6.6 months (range, 0.7-27.0 months). ctDNA-positive or -negative patients with tumors of any stage had similar disease-free survival (DFS). Patients who received targeted therapy had significantly improved DFS than those not receiving adjuvant therapy or receiving chemotherapy, regardless of baseline/preadjuvant ctDNA status. According to whether the ctDNA variants were detected in its matched tissue, they were classified into tissue derived and non-tissue derived. Patients with detectable postoperative ctDNA with tissue-derived mutations had comparable DFS with those with non-tissue-derived mutations. Collectively, we demonstrated that postoperative ctDNA has the potential to stratify prognosis and optimize tumor stage in resectable lung cancer. ctDNA variants not identified in tissue samples should be considered in MRD test.

Indexed as

Circulating Tumor DNALung NeoplasmsBiomarkers, TumorDisease-Free SurvivalHumansNeoplasm Recurrence, LocalRisk AssessmentBiomarkers, TumorCirculating Tumor DNActDNAmolecular residual diseasenon-tissue-derived ctDNA mutationsresectable lung cancerrisk stratification

Identifiers

PMID36732646
PMCPMC10158775

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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.