Evidence map›Paper›PMID 42394601›Full record

Observational studyTechnology in cancer research & treatment

Survival Prediction in Patients With Epidermal Growth Factor Receptor-Mutated Non-small Cell Lung Cancer With Bone Metastases Receiving Icotinib Therapy: A Retrospective Observational Study.

Yanling Ma, Hui Xia, Xueyun Tan, Siwei Song, Minglei Li, Juanjuan Xu, Feng Wu, Yaqi Cao, Mengjia Yi, Sufei Wang and 1 more

Abstract readObservational Study
PubMed Full text at PMC Publisher
In one paragraph

Observational study in Technology in cancer research & treatment. 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

11 authors.

Yanling MaDepartment of Respiratory and Critical Care Medicine, Hubei Province Clinical Research Center for Major Respiratory Diseases, NHC Key Laboratory of Pulmonary Diseases, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Hui XiaDepartment of Respiratory and Critical Care Medicine, Hubei Province Clinical Research Center for Major Respiratory Diseases, NHC Key Laboratory of Pulmonary Diseases, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Xueyun TanDepartment of Respiratory and Critical Care Medicine, Hubei Province Clinical Research Center for Major Respiratory Diseases, NHC Key Laboratory of Pulmonary Diseases, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Siwei SongDepartment of Respiratory and Critical Care Medicine, Hubei Province Clinical Research Center for Major Respiratory Diseases, NHC Key Laboratory of Pulmonary Diseases, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Minglei LiDepartment of Respiratory and Critical Care Medicine, Hubei Province Clinical Research Center for Major Respiratory Diseases, NHC Key Laboratory of Pulmonary Diseases, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Juanjuan XuDepartment of Respiratory and Critical Care Medicine, Hubei Province Clinical Research Center for Major Respiratory Diseases, NHC Key Laboratory of Pulmonary Diseases, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Feng WuDepartment of Respiratory and Critical Care Medicine, Hubei Province Clinical Research Center for Major Respiratory Diseases, NHC Key Laboratory of Pulmonary Diseases, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Yaqi CaoDepartment of Respiratory and Critical Care Medicine, Hubei Province Clinical Research Center for Major Respiratory Diseases, NHC Key Laboratory of Pulmonary Diseases, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Mengjia YiDepartment of Respiratory and Critical Care Medicine, Hubei Province Clinical Research Center for Major Respiratory Diseases, NHC Key Laboratory of Pulmonary Diseases, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Sufei WangDepartment of Respiratory and Critical Care Medicine, Hubei Province Clinical Research Center for Major Respiratory Diseases, NHC Key Laboratory of Pulmonary Diseases, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Yang JinDepartment of Respiratory and Critical Care Medicine, Hubei Province Clinical Research Center for Major Respiratory Diseases, NHC Key Laboratory of Pulmonary Diseases, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.ORCID 0000-0003-2409-7073

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

IntroductionClinical prediction models for response to epidermal growth factor receptor (EGFR)-tyrosine kinase inhibitor (TKI) therapy in patients with advanced non-small cell lung cancer (NSCLC) with bone metastasis (BoM) and EGFR mutations are lacking. This study evaluated predictors of response to the EGFR-TKI icotinib in patients with NSCLC and BoM.MethodsWe retrospectively analysed patients with EGFR-mutated NSCLC and BoM treated with icotinib at Wuhan Union Hospital. Least absolute shrinkage and selection operator and multivariate Cox regression analyses identified independent predictors of progression-free survival (PFS). A prognostic nomogram was developed, and its effectiveness was assessed using receiver operating characteristic (ROC) curves, a decision curve analysis (DCA), and calibration curves.ResultsAmong 194 patients (106 with and 88 without BoM), median PFS in the BoM group was 9.8 months, with a 35.8% overall response rate, and 66.0% disease control rate. In univariate and multivariate Cox regression analyses, BoM was an independent predictor of PFS in the overall cohort (hazard ratio [HR], 2.12; 95% confidence interval [CI], 1.34-3.07; P < 0.001). In the BoM subgroup, albumin (HR: 0.36; 95% CI: 0.21-0.62; P < 0.001), lactate dehydrogenase (LDH) (HR: 1.99; 95% CI: 1.21-3.28; P = 0.007), and the platelet-lymphocyte ratio (PLR) (HR: 1.85; 95% CI: 1.05-3.25; P = 0.033) were independently associated with PFS. A nomogram predicting 3-, 6-, and 12-month PFS achieved time-dependent areas under the ROC curve of 0.765, 0.743, and 0.724, respectively. Calibration plots and DCA demonstrated acceptable performance and potential clinical relevance.ConclusionsAlbumin, LDH, and PLR predict PFS in EGFR-mutated NSCLC with BoM treated with icotinib. The proposed nomogram may assist in preliminary risk stratification in this specific population.

Indexed as

Antineoplastic AgentsBone NeoplasmsCarcinoma, Non-Small-Cell LungCrown EthersLung NeoplasmsMutationQuinazolinesAdultAgedAged, 80 and overErbB ReceptorsFemaleHumansMaleMiddle AgedNomogramsAntineoplastic AgentsCrown EthersEGFR protein, humanErbB ReceptorsicotinibProtein Kinase InhibitorsQuinazolinesbone metastasesnomogramnon-small cell lung cancerprogression-free survivalsurvival prediction modeltyrosine kinase inhibitors

Identifiers

PMID42394601
PMCPMC13332301

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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.