Evidence map›Paper›PMID 41438463›Full record

ArticleJournal of translational internal medicine2025

Protocol for Chinese lung cancer evolution and microenvironment tracking under therapy study.

Wenxiang Wang, Yue He, Xiaoqiu Yuan, Lin Weng, Jing Bai, Xu Liu, Li Han, Junnan Xu, Shuai Wang, Shanshan Lu and 15 more

Abstract read
In one paragraph

Article in Journal of translational internal medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Review
  4. Article
  5. Article
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

25 authors.

Wenxiang WangThoracic Oncology Institute, Peking University People's Hospital, Beijing, China.
Yue HeThoracic Oncology Institute, Peking University People's Hospital, Beijing, China.
Xiaoqiu YuanDepartment of Thoracic Surgery, Peking University People's Hospital, Beijing, China.
Lin WengThoracic Oncology Institute, Peking University People's Hospital, Beijing, China.
Jing BaiCollege of Future Technology, Peking University, No. 5 Yiheyuan Road, Beijing, China.
Xu LiuThoracic Oncology Institute, Peking University People's Hospital, Beijing, China.
Li HanKanghui Biotech Co., Ltd., Liaoning, Shenyang Province, China.
Junnan XuKanghui Biotech Co., Ltd., Liaoning, Shenyang Province, China.
Shuai WangThoracic Oncology Institute, Peking University People's Hospital, Beijing, China.
Shanshan LuDepartment of Pathology, Peking University People's Hospital, Beijing, China.
Jian BaiKanghui Biotech Co., Ltd., Liaoning, Shenyang Province, China.
Hui QuanAnnoroad Gene Technology Co., Ltd, Beijing, China.
Qingyun LiuThoracic Oncology Institute, Peking University People's Hospital, Beijing, China.
Xinrui LiThoracic Oncology Institute, Peking University People's Hospital, Beijing, China.
Yuxuan XiaoThoracic Oncology Institute, Peking University People's Hospital, Beijing, China.
Yun WangThoracic Oncology Institute, Peking University People's Hospital, Beijing, China.
Qingna ZhangDepartment of Thoracic Surgery, Peking University People's Hospital, Beijing, China.
Na ZhouThoracic Oncology Institute, Peking University People's Hospital, Beijing, China.
Yanyan HouThoracic Oncology Institute, Peking University People's Hospital, Beijing, China.
Hao LiDepartment of Thoracic Surgery, Peking University People's Hospital, Beijing, China.
Yun LiDepartment of Thoracic Surgery, Peking University People's Hospital, Beijing, China.
Fan YangDepartment of Thoracic Surgery, Peking University People's Hospital, Beijing, China.
Jun WangThoracic Oncology Institute, Peking University People's Hospital, Beijing, China.
Kezhong ChenThoracic Oncology Institute, Peking University People's Hospital, Beijing, China.ORCID https://orcid.org/0000-0002-9723-6153
CLEVER Consortium

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and objectives: Recent molecular landscape studies characterizing lung cancer mostly utilize single tumor regions, ignoring tumor heterogeneity and evolutionary patterns. To address this issue, the TRAcking NSCLC Evolution through therapy (TRACERx) Consortium established a multiregion sampling of Western lung cancer to investigate its longitudinal evolutionary dynamics. Due to ancestral differences, there are still major gaps in understanding oriental lung cancer. Methods: We have established a prospective cohort of patients with non-small cell lung cancer (NSCLC) named Chinese lung cancer evolution and microenvironment tracking under therapy (CLEVER) study. Discussion: By acquiring comprehensive genetic variation data and clonal events from multiple regions of the tumor, we aim to decipher the molecular evolution code of Chinese lung cancer. The analysis of cell composition and spatial structure further characterizes the remodeling effects of tumor evolution and neoadjuvant therapy on the tumor microenvironment, helping to identify important markers that influence treatment effectiveness and recurrence. By monitoring mutations using a personalized minimal residual disease (MRD) panel from tumors at baseline, we can trace evolutionary significance and clonality, aiding in therapy decisionmaking. The CLEVER study significantly contributes to the development of personalized treatment strategies for lung cancer patients, enhancing outcomes and tailoring interventions to individual patient profiles.

Indexed as

cancer evolutionlung cancertumor heterogeneity

Identifiers

PMID41438463
PMCPMC12721363

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.