Evidence map›Paper›PMID 42291340›Full record

ArticleTranslational lung cancer research2026

Utilizing clinical features, genetic mutations, and a 14-gene molecular assay for optimizing the management of multiple primary lung cancer.

Bowen Li, Zhibo Zheng, Zhina Wang, Daoyun Wang, Lan Su, Zhicheng Huang, Yadong Wang, Jianchao Xue, Chao Guo, Chao Gao and 13 more

Abstract read
In one paragraph

Article in Translational lung cancer research, 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

23 authors.

Bowen Li *Department of Thoracic Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Zhibo Zheng *Department of Thoracic Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Zhina Wang *Department of Pulmonary and Critical Care Medicine 2, Emergency General Hospital, Beijing, China.
Daoyun Wang *Department of Thoracic Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Lan SuDepartment of Bioinformatics, Burning Rock Biotech, Guangzhou, China.
Zhicheng HuangDepartment of Thoracic Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Yadong WangDepartment of Thoracic Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Jianchao XueDepartment of Thoracic Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Chao GuoDepartment of Thoracic Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Chao GaoDepartment of Thoracic Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Yuxiao LinDepartment of Thoracic Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Yang SongDepartment of Thoracic Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Yuan XuDepartment of Thoracic Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Zhongxing BingDepartment of Thoracic Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Haochen LiDepartment of Thoracic Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Ruirui LiDepartment of Thoracic Surgery, Civic Aviation General Hospital, Beijing, China.
Zhe FengDepartment of Thoracic Surgery, Beijing No. 6 Hospital, Beijing, China.
Jian CuiDepartment of Thoracic Surgery, Beijing Chuiyangliu Hospital, Beijing, China.
Ka Luk FungFaculty of Arts and Sciences, Pharmaceutical Chemistry Specialist, University of Toronto, Toronto, Canada.
Heqing Xu RachelFaculty of Social Sciences and Law, University of Bristol, Bristol, UK.
Shanqing LiDepartment of Thoracic Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Nan ZhangDepartment of Pulmonary and Critical Care Medicine 2, Emergency General Hospital, Beijing, China.
Naixin LiangDepartment of Thoracic Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The increasing detection of multiple primary lung cancers (MPLCs) has outpaced the development of corresponding evidence-based management strategies. Current clinical practice remains constrained by two major limitations: (I) imperfect distinction between MPLC and intrapulmonary metastasis (IM) using imaging and pathology alone; and (II) the absence of standardized, lesion-level postoperative risk tools to guide adjuvant therapy and surveillance. To further optimize MPLC clinical management, we applied a 14-gene RNA-level molecular assay to examine its association with clinical factors and its potential to optimize clinical decision-making. Methods: A total of 69 nodules from 30 patients were prospectively included for analysis. Patient demographic information, nodule characteristics, imaging features, histopathological characteristics, and mutation profiles obtained by next-generation sequencing (NGS) were collected for analysis. Additionally, all nodules were prospectively assessed for risk scores and stratifications with a 14-gene molecular assay. We performed correlation analyses between nodule-level risk stratification and the aforementioned clinical variables to evaluate the relationship between the 14-gene molecular assay-based risk assessment and conventional clinical factors. Results: We found that the majority of patients with MPLC were female and had a high frequency of a family history of cancer. Higher maximum diameter, computed tomography (CT) value, maximum standardized uptake value (SUVmax), and solid component on imaging were associated with greater invasiveness. Less invasive MPLC lesions more frequently harbored Conclusions: The 14-gene RNA expression assay may help prioritize high-risk lesions requiring clinical intervention, and provide guidance for postoperative adjuvant therapy and surveillance strategies, thereby optimizing treatment for MPLC.

Indexed as

clinical managementgenetic characteristicsintrapulmonary metastasis (IM)Multiple primary lung cancer (MPLC)risk stratification

Identifiers

PMID42291340
PMCPMC13263889

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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.