Evidence map›Paper›PMID 38296628›Full record

ReviewZhongguo fei ai za zhi = Chinese journal of lung cancer2024

[Progress of BRAF Gene Alteration in Non-small Cell Lung Cancer].

Libian Deng, Yaxian Yang, Jian Huang

Open access · greenAbstract readReviewEnglish Abstract
In one paragraph

Review in Zhongguo fei ai za zhi = Chinese journal of lung cancer, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 30% 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

2 citing papers in PubMed, 1 citations in OpenAlex.

  1. Review
  2. Review
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 3 institutions in 1 country.

Libian DengDepartment of Pathology, The Second Affiliated Hospital of Guangdong Medical University, Zhanjiang 524002, China.
Yaxian YangGuangzhou Huayin Health Medical Group Co., Ltd, Guangzhou 510700, China.
Jian HuangDepartment of Pathological Diagnosis and Research Center, The Affiliated Hospital of Guangdong Medical University, Zhanjiang 524001, China.
Guangdong Medical College · CNGuangzhou Medical University · CNXinjiang Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

V-Raf murine sarcoma viral oncogene homolog B (BRAF) alteration is one of the most essential driver genes of non-small cell lung cancer (NSCLC). BRAF encodes serine/threonine protein kinases, and its mutations typically lead to protein compositional activation, thereby activating the mitogen-activated protein kinase kinase (MEK) signaling pathway. A promising new approach for the treatment of mutated BRAF and/or downstream MEK may provide customized treatment opportunities for BRAF driven NSCLC patients. However, combination therapy is necessary to overcome the difficulties such as short duration of benefit, poor therapeutic effect of non-V600 BRAF mutations and susceptibility to drug resistance. This article reviewed the progress in structural characteristics, related signaling pathways, mutation types of BRAF gene, and the clinical pathological relationship between BRAF mutations and NSCLC, as well as the therapy, in order to provide more evidences for clinical doctors to make treatment decisions.
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Indexed as

Carcinoma, Non-Small-Cell LungLung NeoplasmsAnimalsHumansMiceMitogen-Activated Protein Kinase KinasesMutationProtein Kinase InhibitorsProto-Oncogene Proteins B-rafBRAF protein, humanMitogen-Activated Protein Kinase KinasesProtein Kinase InhibitorsProto-Oncogene Proteins B-rafBRAF geneLung neoplasmsTargeted therapy

Identifiers

PMID38296628
PMCPMC10895288
OpenAlexW4394762268

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.