Evidence map›Paper›PMID 40535076›Full record

ArticleTranslational lung cancer research2025

Evaluating the tumor response assessment of modified-RECIST 1.1 in advance non-small cell lung cancer: a

Qun Chen, Wenwen Huang, Gang Chen, Huaqiang Zhou, Jing Luo, Yuanyuan Zhao, Yan Huang, Yunpeng Yang, Wenfeng Fang, Ting Zhou and 3 more

Abstract read
In one paragraph

Article in Translational lung cancer research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

13 authors.

Qun Chen *Department of Clinical Research, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou, China.
Wenwen Huang *Department of Clinical Research, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou, China.
Gang Chen *Department of Medical Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou, China.
Huaqiang Zhou *Department of Medical Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou, China.
Jing Luo *Department of Clinical Research, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou, China.
Yuanyuan ZhaoDepartment of Medical Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou, China.
Yan HuangDepartment of Medical Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou, China.
Yunpeng YangDepartment of Medical Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou, China.
Wenfeng FangDepartment of Medical Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou, China.
Ting ZhouDepartment of Medical Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou, China.
Yuxiang MaDepartment of Clinical Research, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou, China.
Li ZhangDepartment of Medical Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou, China.
Hongyun ZhaoDepartment of Clinical Research, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Response Evaluation Criteria in Solid Tumors version 1.1 (RECIST 1.1) provides conventional response evaluation in solid tumors. However, RECIST 1.1 measures up to two lesions per organ, which can be time-consuming and less-reliable in terms of reproducibility. This study sought to compare response assessment using RECIST 1.1 and modified RECIST 1.1 (mRECIST 1.1, measuring the single largest lesion per organ) in advanced non-small cell lung cancer (NSCLC). Methods: This study analyzed the medical files of 1,147 advanced NSCLC patients from the East Asia S-1 Trial in Lung Cancer (EAST-LC) clinical trial. The tumor responses were compared using the RECIST 1.1 and the mRECIST 1.1 by the kappa statistics. And a κ value of >0.75 indicated strong concordance. Concordance index (C-index), which ranges from 0-1, was calculated to evaluate prognostic accuracy of radiologic response according to the two criteria. The Kaplan-Meier method and log-rank test were conducted for survival. Statistical analyses were tested at a two-sided significance level of 0.05. Results: The amount of target lesions was lower by mRECIST 1.1 than RECIST 1.1. The best tumor responses revealed a great concordance between two criteria (κ=0.989). The C-index by the two criteria was similar for overall survival (OS) (0.709 versus 0.708) and responders had significantly longer progression-free survival (PFS) and OS versus non-responders (P<0.001) by the RECIST 1.1 and mRECIST 1.1. The median OS using the original RECIST 1.1 criteria was 33.6 months in the complete response (CR) and partial response (PR) arm, 18.6 months in the stable disease (SD) arm, and 7.3 months in the progressive disease (PD) arm. When the mRECIST 1.1 criteria were applied, the median OS of the above three groups was 30.9, 18.3 and 7.3 months, respectively. Patients were also stratified into four groups using quartiles of the absolute PFS value according to the two criteria. In comparison with RECIST 1.1, the median OS were 5.8 versus 6.0 months, 8.3 versus 8.4 months, 14.5 versus 14.6 months, and 25.6 versus 25.6 months in the lowest quartile, 2 Conclusions: mRECIST 1.1 was comparable to RECIST 1.1 and might be preferable owing to its convenience in the assessment of tumor response in advanced NSCLC.

Indexed as

East Asia S-1 Trial in Lung Cancer (EAST-LC)modified Response Evaluation Criteria in Solid Tumors version 1.1 (mRECIST 1.1)Non-small cell lung cancer (NSCLC)tumor response measurement

Identifiers

PMID40535076
PMCPMC12170283

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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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 Socratic graph.