# Expressions and Clinical Significance of Met and YAP in Gastric Cancer Tissue Microarray

**Authors:** Jinxia Li, Xinyun Zhang, Ying Liu, Jinyong Zhou, Li Shen, Guangxin Yue

PMC · DOI: 10.1155/2024/5591298 · Gastroenterology Research and Practice · 2024-04-09

## TL;DR

This study finds that high levels of Met and YAP proteins in gastric cancer tissues are linked to worse survival and specific tumor features.

## Contribution

The study identifies Met as an independent prognostic factor in gastric cancer and reveals correlations between Met/YAP and clinicopathological markers.

## Key findings

- Met and YAP are overexpressed in gastric cancer tissues compared to adjacent normal tissues.
- High Met and YAP expression correlates with poor survival and tumor markers like CD133 and VEGFR.
- Met, but not YAP, is identified as an independent risk factor for gastric cancer prognosis.

## Abstract

This study is aimed at investigating the expression of Met and YAP in gastric cancer and their impact on clinical prognosis.

Tissue samples and clinical data were collected from 89 patients with gastric cancer. Immunohistochemistry was performed to quantify the expression of Met and YAP using tissue microarray. The correlation between the expressions of Met, YAP, and clinicopathological characteristics of patients was determined using a chi-square test. Survival analysis was conducted using the Kaplan-Meier method, while multivariate survival analysis was performed using the Cox proportional hazard model. Bioinformatics analysis was carried out by downloading chip data from TCGA.

The expression levels of both Met and YAP were significantly higher in gastric cancer tissues compared to adjacent tissues (P < 0.001). Met expression showed a positive association with P53 and CD133, whereas YAP expression correlated positively with tumor grade and CD133 (P < 0.05). Pearson's analysis revealed a significant correlation between Met expression and VEGFR as well as CD133, while YAP expression correlated with Ki67 and VEGFR (P < 0.05). Patients with high levels of both Met and YAP exhibited decreased survival time (P < 0.01). Furthermore, Met expression, N stage, and VEGFR were identified as independent risk factors for gastric cancer prognosis (P < 0.05), whereas no such association was observed for YAP expression. Bioinformatics analysis demonstrated a significant correlation between the expressions of Met and YAP; both proteins were highly expressed in gastric cancer patients accompanied by markedly reduced survival time.

The expressions of Met and YAP are closely associated with the survival outcomes as well as clinicopathological features in patients with gastric cancer. Moreover, our findings highlight that Met serves as an independent prognostic factor for gastric cancer.

## Linked entities

- **Genes:** MET (MET proto-oncogene, receptor tyrosine kinase) [NCBI Gene 4233], YAP1 (Yes1 associated transcriptional regulator) [NCBI Gene 10413], TP53 (tumor protein p53) [NCBI Gene 7157], PROM1 (prominin 1) [NCBI Gene 8842], KDR (kinase insert domain receptor) [NCBI Gene 3791], Mki67 (antigen identified by monoclonal antibody Ki 67) [NCBI Gene 17345]
- **Diseases:** gastric cancer (MONDO:0001056)

## Full-text entities

- **Genes:** TP53 (tumor protein p53) [NCBI Gene 7157] {aka BCC7, BMFS5, LFS1, P53, TRP53}, KDR (kinase insert domain receptor) [NCBI Gene 3791] {aka CD309, FLK1, VEGFR, VEGFR2}, PROM1 (prominin 1) [NCBI Gene 8842] {aka AC133, CD133, CORD12, MCDR2, MSTP061, PROML1}, SLTM (SAFB like transcription modulator) [NCBI Gene 79811] {aka Met}, YAP1 (Yes1 associated transcriptional regulator) [NCBI Gene 10413] {aka COB1, YAP, YAP-1, YAP2, YAP65, YKI}
- **Diseases:** tumor (MESH:D009369), Gastric Cancer (MESH:D013274)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

4 figures with captions in the complete paper: https://tomesphere.com/paper/PMC11022516/full.md

## References

30 references — full list in the complete paper: https://tomesphere.com/paper/PMC11022516/full.md

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Source: https://tomesphere.com/paper/PMC11022516