Your browser doesn't support javascript.
loading
Integrative evaluation and experimental validation of the immune-modulating potential of dysregulated extracellular matrix genes in high-grade serous ovarian cancer prognosis.
Wu, Qihui; He, Xiaoyun; Liu, Jiaxin; Ou, Chunlin; Li, Yimin; Fu, Xiaodan.
Afiliação
  • Wu Q; Department of Gynecology, Xiangya Hospital, Central South University, Changsha, 410008, China.
  • He X; National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Changsha, 410008, China.
  • Liu J; National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Changsha, 410008, China.
  • Ou C; Departments of Ultrasound Imaging, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, China.
  • Li Y; Department of Pathology, School of Basic Medical Sciences, Central South University, Changsha, 410078, China.
  • Fu X; National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Changsha, 410008, China. ouchunlin@csu.edu.cn.
Cancer Cell Int ; 23(1): 223, 2023 Sep 30.
Article em En | MEDLINE | ID: mdl-37777759
ABSTRACT

BACKGROUND:

High-grade serous ovarian cancer (HGSOC) is a challenging malignancy characterized by complex interactions between tumor cells and the surrounding microenvironment. Understanding the immune landscape of HGSOC, particularly the role of the extracellular matrix (ECM), is crucial for improving prognosis and guiding therapeutic interventions. METHODS AND

RESULTS:

Using univariate Cox regression analysis, we identified 71 ECM genes associated with prognosis in seven HGSOC populations. The ECMscore signature, consisting of 14 genes, was validated using Cox proportional hazards regression with a lasso penalty. Cox regression analyses demonstrated that ECMscore is an excellent indicator for prognostic classification in prevalent malignancies, including HGSOC. Moreover, patients with higher ECMscores exhibited more active stromal and carcinogenic activation pathways, including apical surface signaling, Notch signaling, apical junctions, Wnt signaling, epithelial-mesenchymal transition, TGF-beta signaling, and angiogenesis. In contrast, patients with relatively low ECMscores showed more active immune-related pathways, such as interferon alpha response, interferon-gamma response, and inflammatory response. The relationship between the ECMscore and genomic anomalies was further examined. Additionally, the correlation between ECMscore and immune microenvironment components and signals in HGSOC was examined in greater detail. Moreover, the expression of MGP, COL8A2, and PAPPA and its correlation with FAP were validated using qRT-PCR on samples from HGSOC. The utility of ECMscore in predicting the prospective clinical success of immunotherapy and its potential in guiding the selection of chemotherapeutic agents were also explored. Similar results were obtained from pan-cancer research.

CONCLUSION:

The comprehensive evaluation of the ECM may help identify immune activation and assist patients in HGSOC and even pan-cancer in receiving proper therapy.
Palavras-chave

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article