Evidence map›Paper›PMID 32758349›Full record

ReviewZhongguo fei ai za zhi = Chinese journal of lung cancer2020

[Mechanism of Histologic Transformation of Drive Gene Positive Lung Adenocarcinoma in Targeted Therapy and Treatment Strategy].

Tongji Xie, Yan Li, Puyuan Xing

Open access · greenAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Zhongguo fei ai za zhi = Chinese journal of lung cancer, 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 47% 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

3 authors at 1 institution in 1 country.

Tongji XieNational Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China.
Yan LiNational Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China.
Puyuan XingNational Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China.
Chinese Academy of Medical Sciences & Peking Union Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Patients with lung adenocarcinoma (ADC) who harbor drive gene mutation will inevitably develop drug resistance after receiving targeted therapy. The common mechanisms of drug resistance include secondary mutation of driver gene, change of non-driver gene, histological transformation and epithelial mesenchymal transformation. Histological transformation includes the transformation from lung ADC to small cell lung cancer (SCLC), squamous cell carcinoma (SCC), and large cell neuroendocrine carcinoma (LCNEC) and so on. Histological transformation not only has a negative impact on the quality of patients' life, but also poses great challenges to the follow-up treatment of patients. However the mechanism of transformation is still incomplete. This article will review the research results on the mechanism of histological transformation and the selection of treatment strategies.

Indexed as

Adenocarcinoma of LungCarcinoma, Large CellDrug Resistance, NeoplasmHumansLung NeoplasmsSmall Cell Lung CarcinomaDrug resistanceHistological transformationLung neoplasmsMechanismTargeted therapy

Identifiers

PMID32758349
PMCPMC7467985
OpenAlexW3048950840

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.