ArticleHuman cell2022
The role of YAP1 in small cell lung cancer.
Article in Human cell, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
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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.
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.
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Who cites it
11 citing papers in PubMed, 19 citations in OpenAlex.
- Integrating molecular subtypes, genomics and functional dependencies to identify context-specific therapeutic vulnerabilities in small cell lung cancer.Biomarker research · 2026Review
- Mechanisms of resistance in small cell lung cancer.Chinese medical journal · 2026Review
- Exploring the metabolomics and metagenomics of chronic obstructive pulmonary disease (COPD) and lung cancer: unraveling the complex interplay.Journal of thoracic disease · 2025Review
- Molecular basis and therapeutic implications of binary YAPOn/YAPOff cancer classes.The Biochemical journal · 2025Review
- Article
- Adaptor protein CEMIP reduces the chemosensitivity of small cell lung cancer via activation of an SRC-YAP oncogenic module.Acta pharmacologica Sinica · 2024Article
- The expression of YAP1 and other transcription factors contributes to lineage plasticity in combined small cell lung carcinoma.The journal of pathology. Clinical research · 2024Article
- Evolving insights into the improvement of adoptive T-cell immunotherapy through PD-1/PD-L1 blockade in the clinical spectrum of lung cancer.Molecular cancer · 2024Review
- [Advances in Molecular Subtyping, Characteristics and Therapeutic Strategies of Small Cell Lung Cancer].Zhongguo fei ai za zhi = Chinese journal of lung cancer · 2023Review
- Applications and advancements of CRISPR-Cas in the treatment of lung cancer.Frontiers in cell and developmental biology · 2023Review
- Molecular basis of heterogeneity in small cell lung cancer.Translational cancer research · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Yes-associated protein (YAP) and transcriptional coactivator with PDZ-binding motif (TAZ, also known as WWTR1) are core downstream effectors of the Hippo pathway, which is involved in diverse biological processes. The oncogenic effects of YAP and TAZ in non-small cell lung cancer (NSCLC) have recently been reported; however, their roles in SCLC remain unclear. Immunohistochemistry (IHC) on lung cancer tissues and Western blotting (WB) on lung cancer cell lines were performed to examine the expression of YAP1. Genome editing using CRISPR/Cas9 was then used to knockout the YAP1 gene in the H69AR cell line. An RNA-sequence analysis, gene ontology (GO) analysis, WB, cell counting assay, invasion assays, and xenograft studies were conducted on these cells to investigate the biological roles of YAP1. IHC revealed that insulinoma-associated protein 1 was expressed in most cases (28 out of 32 cases), while only four cases expressed YAP1. The knockout of YAP1 in H69AR cells, a chemically induced SCLC-Y subtype, reduced cell proliferation and invasion capacity and restored drug sensitivity. Xenograft assays revealed that the knockout of YAP1 suppressed cell proliferation. Tumor tissues showed the expression of neuroendocrine markers and a low Ki-67 index. In SCLC, YAP1 plays an important role in biological functions, such as cell proliferation, EMT, drug sensitivity, and neuroendocrine differentiation.
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Registered trials
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.