Real-world analysis of the efficacy and safety of lorlatinib in ALK-positive non-small cell lung cancer patients in China

Lorlatinib demonstrates strong efficacy and manageable safety, especially in first-line treatment of advanced ALK-positive NSCLC, supporting its role as an effective treatment option.

Authors

Institutions

Publication Details

Journal
Frontiers in Oncology
Published
2025-05-01
DOI
https://doi.org/10.3389/fonc.2025.1577607
Citations
4
Primary Topic
Lung Cancer Treatments and Mutations
Type
article
Field-Weighted Citation Impact
6.07

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Real-world analysis of the efficacy and safety of lorlatinib in ALK-positive non-small cell lung cancer patients in China

Guangming Tian, Xiaoling Chen, Ziran Zhang, Jindi Han et al.
4 citations
Frontiers in Oncology
Lung Cancer Treatments and Mutations
6.07
article

Real-world analysis of the efficacy and safety of lorlatinib in ALK-positive non-small cell lung cancer patients in China

Guangming Tian, Xiaoling Chen, Ziran Zhang, Jindi Han, Di Wu, Jie Zhang, Xinliang Zhao, Jun Nie, Sen Han, Xiangjuan Ma, Ling Dai, Jian Fang, Jieran Long, Weiheng Hu
article en
4 citations

Abstract

Lorlatinib demonstrates strong efficacy and manageable safety, especially in first-line treatment of advanced ALK-positive NSCLC, supporting its role as an effective treatment option.

Frontiers in OncologyVol. 15
Peking University (CN), Ministry of Education (ET)
Wu Jieping Medical Foundation
Openalex Percentile: Top 4%
Lung Cancer Treatments and Mutations
6.07
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.