Evidence map›Paper›PMID 30920172›Full record

ArticleThoracic cancer2019

Favorable predictors for survival in advanced ALK-positive non-small cell lung cancer patients beyond crizotinib resistance.

Haiyan Xu, Guangjian Yang, Lu Yang, Yaning Yang, Di Ma, Junling Li, Xuezhi Hao, Puyuan Xing, Yan Wang

Abstract read
In one paragraph

Article in Thoracic cancer, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. 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

9 authors.

Haiyan XuDepartment of Comprehensive Oncology, National Cancer Center/National Clinical Research Center for Cancer/ Cancer Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China.ORCID 0000-0002-0048-3191
Guangjian YangDepartment of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer /Cancer Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China.
Lu YangDepartment of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer /Cancer Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China.ORCID 0000-0002-4286-9586
Yaning YangDepartment of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer /Cancer Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China.
Di MaDepartment of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer /Cancer Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China.ORCID 0000-0002-7051-7393
Junling LiDepartment of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer /Cancer Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China.
Xuezhi HaoDepartment of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer /Cancer Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China.
Puyuan XingDepartment of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer /Cancer Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China.
Yan WangDepartment of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer /Cancer 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

backgroundCrizotinib has demonstrated favorable efficacy in patients with advanced ALK-positive non-small cell lung cancer (NSCLC). Unfortunately, the majority of ALK-positive patients ultimately develop acquired resistance within one year after the initiation of crizotinib treatment; however, the estimation of overall survival (OS) beyond crizotinib resistance has not yet been fully demonstrated. The purpose of this study was to identify favorable predictors affecting survival outcome.

methodsIn this single-center retrospective study, the data of 136 patients with advanced ALK-positive NSCLC beyond crizotinib resistance were analyzed between January 2013 and December 2017. Patients were divided into two groups according to intracranial or extracranial progression on crizotinib, and sequential therapies including crizotinib continuation with local therapy, next-generation ALK inhibitors, and chemotherapy. The primary endpoint was the median OS duration from the start of crizotinib resistance to death or the last follow-up. Univariate and multivariate Cox analyses of OS were carried out.

resultsAt the time of analysis, 60 (41.1%) of the 136 patients had died. Median progression free survival (PFS) and OS from the metastatic diagnosis were 10.4 and 41.3 months, respectively. Sequential therapies administered beyond crizotinib treatment were: next-generation ALK inhibitors (54 patients), chemotherapy (20 patients), and crizotinib continuation with local therapy (62 patients). Multivariate Cox analysis revealed that long PFS with crizotinib (≥ 10.4 months), intracranial progression, and next-generation ALK inhibitors were significantly associated with a decreased risk of death.

conclusionLong PFS with crizotinib (≥10.4 months), intracranial progression, and use of next-generation ALK inhibitors might be favorable predictors for OS in advanced ALK-positive NSCLC patients.

Indexed as

AdultAgedAnaplastic Lymphoma KinaseAntineoplastic AgentsCarcinoma, Non-Small-Cell LungCrizotinibDisease ProgressionDrug Resistance, NeoplasmFemaleHumansLung NeoplasmsMaleMiddle AgedNeoplasm StagingPrognosisProportional Hazards ModelsALK protein, humanAnaplastic Lymphoma KinaseAntineoplastic AgentsCrizotinibProtein Kinase InhibitorsALKcrizotinibnon-small cell lung cancerprognosisresistance

Identifiers

PMID30920172
PMCPMC6500969

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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.