Evidence map›Paper›PMID 35693279›Full record

ArticleTranslational lung cancer research2022

An exploration of the clinical progression models of osimertinib in the treatment of advanced EGFR-mutant non-small cell lung cancer.

Yue Shi, Yingying Jiang, Banzhou Pan, Zihan Wang, Hang Li, Yuxin Ma, Yilin Liu, Kang He, Zhitong Wang, Jianwei Lu and 11 more

Open access · diamondAbstract read
In one paragraph

Article in Translational lung cancer research, 2022. 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
0.2field-weighted citation impact, top 51% of its field
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, 1 citations in OpenAlex.

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

21 authors at 7 institutions in 5 countries.

Yue Shi *Department of Oncology, the Affiliated Cancer Hospital of Nanjing Medical University, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, Nanjing, China.
Yingying Jiang *Department of Radiotherapy, the Affiliated Cancer Hospital of Nanjing Medical University, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, Nanjing, China.
Banzhou Pan *Department of Oncology, the Affiliated Cancer Hospital of Nanjing Medical University, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, Nanjing, China.
Zihan WangSchool of Life Science, Nantong University, Nantong, China.
Hang LiDepartment of Chronic Disease Epidemiology, Yale School of Public Health, New Haven, CT, USA.
Yuxin MaDepartment of Oncology, the Affiliated Cancer Hospital of Nanjing Medical University, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, Nanjing, China.
Yilin LiuDepartment of Radiotherapy, the Affiliated Cancer Hospital of Nanjing Medical University, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, Nanjing, China.
Kang HeDepartment of Oncology, the Affiliated Cancer Hospital of Nanjing Medical University, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, Nanjing, China.
Zhitong WangDepartment of Radiotherapy, Nanjing Medical University, Nanjing, China.
Jianwei LuDepartment of Oncology, the Affiliated Cancer Hospital of Nanjing Medical University, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, Nanjing, China.
Meiqi ShiDepartment of Oncology, the Affiliated Cancer Hospital of Nanjing Medical University, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, Nanjing, China.
Bo ShenDepartment of Oncology, the Affiliated Cancer Hospital of Nanjing Medical University, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, Nanjing, China.
Guoren ZhouDepartment of Oncology, the Affiliated Cancer Hospital of Nanjing Medical University, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, Nanjing, China.
Rong YinDepartment of Thoracic Surgery, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, Nanjing, China.
Antonio RossiOncology Center of Excellence, Therapeutic Science & Strategy Unit, IQVIA, Milan, Italy.
Kentaro ItoDepartment of Respiratory Medicine, Matsusaka Municipal Hospital Respiratory Center, Matsusaka, Japan.
Mariacarmela SantarpiaMedical Oncology Unit, Department of Human Pathology "G. Barresi", University of Messina, Messina, Italy.
Sang-Won UmDivision of Pulmonary and Critical Care Medicine, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
Xiaohua WangDepartment of Oncology, the Affiliated Cancer Hospital of Nanjing Medical University, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, Nanjing, China.
Cheng ChenDepartment of Radiotherapy, the Affiliated Cancer Hospital of Nanjing Medical University, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, Nanjing, China.
Jifeng FengDepartment of Oncology, the Affiliated Cancer Hospital of Nanjing Medical University, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, Nanjing, China.
Nanjing Medical University · CNJiangsu Cancer Hospital · CNNantong University · CNSamsung Medical Center · KRSoka Municipal Hospital · JPUniversity of Messina · ITYale University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Classifying the progression pattern had been proved to be momentous for predicting efficacy and guiding treatment in the 1st/2nd generation epidermal growth factor receptor tyrosine kinase inhibitors (EGFR-TKIs), while lack evidence in the 3rd generation EGFR-TKIs. This study aimed to classify tumor progression of osimertinib in EGFR+ advanced non-small cell lung cancer (NSCLC), exploring the characteristics and the clinical significance of each progression pattern. Methods: After screening 1,125 lung cancer patients, 168 EGFR T790M+ advanced patients using osimertinib were enrolled and divided into two groups and five clinical progression models according to the time course of the tumor progression. The prognosis and characteristics, such as gender, age, metastases, of each model were analyzed and compared by Kaplan-Meier method, Results: Complete follow-up data were available for 117 of the 168 patients. Progressive disease (PD) occurred in 89 patients at an average onset of 6.59 months since using osimertinib, with 79.78% of patients experiencing enlargement of some preexisting lesions before PD. Among the five progression models, the 'Rapid Enlargement' (10.11%) model, the 'Rapid New Lesion' model (10.11%), the 'Delayed Enlargement' model (29.21%), the 'Delayed New Lesion' model (15.73%), and the 'Non-targeted Enlargement' model (34.83%), the 'Non-targeted Enlargement' model had the worst prognosis, with a median progression-free survival (mPFS) of 7.1 months (P=0.046). The mPFS of other models was similar, with the largest difference in the time interval between the beginning of osimertinib treatment to the first appearance of target lesion enlargement (T Conclusions: We tried to create a classification system for describing the failure of the third-generation EGFR-TKI osimertinib including two groups, subdivided into five progression models based on the time course of tumor lesion changes. The system might be conducive to predict the prognosis and be potential to assist in selecting subsequent treatment strategies.

Indexed as

epidermal growth factor receptor tyrosine kinase inhibitor (EGFR-TKI)non-small cell lung cancer (NSCLC)Osimertinibprogression modelstargeted therapy

Identifiers

PMID35693279
PMCPMC9186173
OpenAlexW4282933384

What OpenQuestion holds

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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.