Evidence map›Paper›PMID 39196297›Full record

ArticleDiscover oncology2024

LncRNA MALAT-1 modulates EGFR-TKI resistance in lung adenocarcinoma cells by downregulating miR-125.

Jie Luo, Qiaoya Ren, Xiaoxi Liu, Qian Zheng, Ling Yang, Mi Meng, Hu Ma, Sisi He

Abstract read
In one paragraph

Article in Discover oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
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

8 citing papers in PubMed.

  1. Role of alternative splicing in cancer progression.Irish journal of medical science · 2026
    Review
  2. Review
  3. Article
  4. Review
  5. Article
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  8. Involvement of lncRNA in cancer diagnosis and prognosis and clinical implications.Reports of practical oncology and radiotherapy : journal of Greatpoland Cancer Center in Poznan and Polish Society of Radiation Oncology · 2025
    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

8 authors.

Jie Luo *Department of Oncology, The Second Affiliated Hospital of Zunyi Medical University, Zunyi, China.
Qiaoya Ren *Department of Oncology, The Second Affiliated Hospital of Zunyi Medical University, Zunyi, China.
Xiaoxi Liu *Zunyi Medical University, Zunyi, China.
Qian ZhengDepartment of Oncology, The Second Affiliated Hospital of Zunyi Medical University, Zunyi, China.
Ling YangDepartment of Pathology, Suining Central Hospital, Suining, Sichuan, China.
Mi MengDepartment of Oncology, The Second Affiliated Hospital of Zunyi Medical University, Zunyi, China.
Hu MaDepartment of Oncology, The Second Affiliated Hospital of Zunyi Medical University, Zunyi, China. mahuab@163.com.
Sisi HeDepartment of Oncology, The Second Affiliated Hospital of Zunyi Medical University, Zunyi, China.

Funding

Collaborative Innovation Center of Chinese Ministry of Education 2020-39Guizhou Province Science and Technology Project [2019]5406National Natural Science Foundation: Regional Science Foundation Program H1612
6 · The paper itself

Abstract

Molecular targeted therapy resistance remains a major challenge in treating lung adenocarcinoma (LUAD). The resistance of Epidermal growth factor receptor tyrosine kinase inhibitors (EGFR-TKIs, epidermal growth factor receptor-tyrosine kinase inhibitor) plays a dominant role in molecular targeted therapy. Our previous research demonstrated the role of MALAT-1 (Metastasis-associated lung adenocarcinoma transcript 1) in the formation of Erlotinib-resistant LUAD cells. This study aims to uncover the mechanism of MALAT-1 overexpression in Erlotinib-resistant LUAD cells. The RT

Indexed as

Epidermal growth factor receptor tyrosine kinase inhibitors (EGFR-TKIs)LncRNA MALAT-1Lung Adenocarcinoma (LUAD)miR-125Resistance

Identifiers

PMID39196297
PMCPMC11358566

What OpenQuestion holds

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Registered trials

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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.