Evidence map›Paper›PMID 39853318›Full record

ArticleClinical cancer research : an official journal of the American Association for Cancer Research2025

Follow-up Analysis Enhances Understanding of Molecular Residual Disease in Localized Non-Small Cell Lung Cancer.

Jia-Tao Zhang, Si-Yang Liu, Xuan Gao, Si-Yang Maggie Liu, Bingfa Yan, Chen Huang, Zicong Jiao, Hong-Hong Yan, Yi Pan, Song Dong and 9 more

Abstract read
In one paragraph

Article in Clinical cancer research : an official journal of the American Association for Cancer Research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Trial
  2. Review
  3. [Expert Consensus on Precision Management of Pulmonary Nodules (2026 Version)].Zhongguo fei ai za zhi = Chinese journal of lung cancer · 2026
    Article
  4. Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

19 authors.

Jia-Tao Zhang *Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.ORCID 0000-0003-4302-9332
Si-Yang Liu *Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.ORCID 0000-0002-5105-6421
Xuan Gao *Geneplus-Beijing Institute, Beijing, China.ORCID 0000-0003-0448-2206
Si-Yang Maggie Liu *Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.ORCID 0000-0002-3837-0758
Bingfa YanGeneplus-Beijing Institute, Beijing, China.ORCID 0009-0009-3171-9812
Chen HuangGuangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.ORCID 0009-0004-7721-3298
Zicong JiaoGeneplus-Beijing Institute, Beijing, China.ORCID 0000-0003-4166-3938
Hong-Hong YanGuangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.ORCID 0000-0002-6228-2096
Yi PanGuangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.ORCID 0000-0003-4945-5631
Song DongGuangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.ORCID 0000-0002-5431-748X
Wei GaoGeneplus-Beijing Institute, Beijing, China.ORCID 0000-0002-6054-382X
Yuhua GongGeneplus-Beijing Institute, Beijing, China.ORCID 0000-0001-7893-2084
Hai-Yan TuGuangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.ORCID 0000-0001-7125-9878
Xue-Feng XiaGeneplus-Beijing Institute, Beijing, China.ORCID 0000-0001-9734-5926
Qing ZhouGuangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.ORCID 0000-0002-0478-176X
Wen-Zhao ZhongGuangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.ORCID 0000-0002-8917-8635
Xue-Ning YangGuangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.ORCID 0000-0002-8346-2117
Xin YiGeneplus-Beijing Institute, Beijing, China.ORCID 0000-0003-4032-0298
Yi-Long WuGuangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.ORCID 0000-0002-3611-0258

Funding

Guangdong Basic and Applied Basic Research Foundation 2024A1515013035Guangdong Provincial People's Hospital Scientific Research Funds for Leading Medical Talents in Guangdong Province KJ012019426Guangdong Provincial People's Hospital Young Talent Project GDPPHYTP201902Key Lab System Project of Guangdong Science and Technology Department 2017B030314120National Natural Science Foundation of China (NSFC) 82303936
6 · The paper itself

Abstract

purposeThe prognostic value of molecular residual disease (MRD) in non-small cell lung cancer (NSCLC) is well established, with treatment-guiding results anticipated. Here, we present updated analyses from our previously published cohort study of 261 patients with NSCLC undergoing complete resection. EXPERIMENTAL

designA total of 261 patients with stage I to III lung cancer who underwent radical surgery were enrolled. Enrolled patients underwent follow-up blood draws according to the predefined time points after surgery. As of December 31, 2023, with a median follow-up of 43.4 months, 948 postoperative blood samples were collected.

resultsLandmark and longitudinal MRD exhibited positive predictive values of 91.3% and 92.8%, respectively, with a median lead time of 5.2 months. Negative predictive values were 76.5% and 93.2%, respectively. Patients with landmark undetectable MRD could not benefit from adjuvant therapy through the updated follow-up (P = 0.529). Among the 13 patients with recurrent NSCLC and longitudinal undetectable MRD, seven (53.8%) had brain-only metastases, and four (30.8%) had no updated blood samples for over 6 months prior to recurrence. Besides, for those with longitudinal detectable MRD, higher maximum variant allele frequency (>0.55%) and ctDNA level (>13 hGE/mL) were associated with a high risk of short-term recurrence. Additionally, updated follow-up data further support that the peak time for detectable MRD was 18 months after landmark detection.

conclusionsThese findings suggest the significant potential of MRD in guiding personalized treatment for NSCLC. Postoperative longitudinal undetectable MRD can indicate a cured population.

Indexed as

Biomarkers, TumorCarcinoma, Non-Small-Cell LungLung NeoplasmsNeoplasm Recurrence, LocalNeoplasm, ResidualAdultAgedAged, 80 and overCirculating Tumor DNAFemaleFollow-Up StudiesHumansMaleMiddle AgedNeoplasm StagingPrognosisBiomarkers, TumorCirculating Tumor DNA

Identifiers

PMID39853318
PMCPMC11959268

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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.