Evidence map›Paper›PMID 33235504›Full record

ArticleCancer management and research2020

Imaging Pattern of Diffuse Intrapulmonary Metastases in Lung Cancer Was Associated with Poor Prognosis to Epidermal Growth Factor Receptor Inhibitors.

Yang Fu, Yuan Tang, Yue Zheng, Yue-Yun Chen, Ye Hong, Pei-Pei Wang, Qing Li, Ting Liu, Zhen-Yu Ding

Open access · goldAbstract read
In one paragraph

Article in Cancer management and research, 2020. 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
0.1field-weighted citation impact, top 45% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  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 at 2 institutions in 1 country.

Yang FuDepartment of Biotherapy, Cancer Center, West China Hospital, West China Medical School, State Key Laboratory of Biotherapy, Sichuan University, Chengdu, People's Republic of China.
Yuan TangDepartment of Pathology, West China Hospital, West China Medical School, Sichuan University, Chengdu, People's Republic of China.
Yue ZhengDepartment of Biotherapy, Cancer Center, West China Hospital, West China Medical School, State Key Laboratory of Biotherapy, Sichuan University, Chengdu, People's Republic of China.
Yue-Yun ChenDepartment of Biotherapy, Cancer Center, West China Hospital, West China Medical School, State Key Laboratory of Biotherapy, Sichuan University, Chengdu, People's Republic of China.
Ye HongDepartment of Biotherapy, Cancer Center, West China Hospital, West China Medical School, State Key Laboratory of Biotherapy, Sichuan University, Chengdu, People's Republic of China.
Pei-Pei WangDepartment of Biotherapy, Cancer Center, West China Hospital, West China Medical School, State Key Laboratory of Biotherapy, Sichuan University, Chengdu, People's Republic of China.ORCID 0000-0001-7201-4928
Qing LiDepartment of Biotherapy, Cancer Center, West China Hospital, West China Medical School, State Key Laboratory of Biotherapy, Sichuan University, Chengdu, People's Republic of China.
Ting LiuDepartment of Biotherapy, Cancer Center, West China Hospital, West China Medical School, State Key Laboratory of Biotherapy, Sichuan University, Chengdu, People's Republic of China.ORCID 0000-0001-5345-1823
Zhen-Yu DingDepartment of Biotherapy, Cancer Center, West China Hospital, West China Medical School, State Key Laboratory of Biotherapy, Sichuan University, Chengdu, People's Republic of China.
Sichuan University · CNWest China Medical Center of Sichuan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEpidermal growth factor receptor (EGFR) mutations are more frequently seen in miliary intrapulmonary metastases than EGFR wild-type non-small cell lung cancer (NSCLC). Also, small-scale retrospective studies showed that patients harboring EGFR mutation with miliary pulmonary metastases had a worse prognosis. This study aimed to explore the impact of imaging patterns on the outcomes of EGFR tyrosine kinase inhibitor (TKI) treatment.

methodsA cohort of treatment-naive NSCLC patients harboring EGFR mutation with intrapulmonary metastases who were prescribed with TKI were enrolled. The demographic feature, clinical outcome, and CT imaging of each patient were reviewed and analyzed.

resultsA cohort of 174 patients were enrolled. Five intrapulmonary patterns of imaging were recognized: solid nodular, ground-glass nodular, miliary, multiple uniform nodular, and not otherwise specified. Among them, miliary and multiple uniform nodular patterns had similar poor prognosis, and, therefore, were combined as diffuse group. A worse PFS (9.0 mon, 95% CI: 8.0-10.0 mon) was observed compared with the rest (non-diffuse group, 13.3 mon, 95% CI: 10.2-16.4 mon, p<0.001, HR=0.49). The objective response rates (ORR) between the two groups were 76.8% and 84.1%, respectively, with no significant difference (p = 0.474). The OS of the diffuse and the non-diffuse group were 25.6 mon (95% CI 21.9-29.3 mon) and 35.0 mon (95% CI: 27.5-42.5, p = 0.01, HR= 0.59). Organs like bone (p=0.167), liver (p=0.513), and adrenal gland (p=0.375) were involved in similar frequencies in both groups. However, brain (p=0.070) and leptomeningeal (p=0.078) metastases were less common in the non-diffuse group with marginally statistical significance. The 2 groups contained similar missense mutations, and gene amplification was more common in the non-diffuse group.

conclusionPatients with diffuse intrapulmonary metastases had inferior outcomes after TKI treatment. More aggressive treatments might be warranted for these patients.

Indexed as

CT imagingEGFRepidermal growth factor receptorgenetic aberrationoutcomeTKItyrosine kinase inhibitor

Identifiers

PMID33235504
PMCPMC7680171
OpenAlexW3100951543

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.