Abstract 183P
Background
Ovarian cancer (OC) is a highly aggressive malignancy with limited treatment options. Recent studies have focused on understanding the role of cancer-associated fibroblasts (CAFs) in OC progression.
Methods
Machine learning algorithms were utilized to analyze large-scale bulk transcriptomic datasets and identify FGF7 as a potential oncogenic factor. Expression levels of FGF7 were compared between CAFs, OC tissues, normal fibroblasts (NFs), and non-cancerous tissues. Various experimental techniques, including single-cell transcriptome analysis and in vitro experiments, were employed to investigate the interaction between FGF7 and OC cells, as well as the downstream signaling pathways involved.
Results
FGF7 expression was significantly elevated in CAFs and OC tissues compared to NFs and non-cancerous tissues, respectively. Higher FGF7 levels were associated with advanced tumor stage, vascular invasion, and poor prognosis. Experimental results demonstrated that CAFs-derived FGF7 enhanced OC cell proliferation, migration, and invasion. Mechanistic investigations revealed that FGF7 inhibited the degradation of hypoxia-inducible factor 1 alpha (HIF-1α) under normoxia, leading to the activation of EMT-related transcription factors and down-regulation of epithelial markers.
Conclusions
This study suggests that targeting the FGF7/HIF-1α/EMT axis may provide therapeutic opportunities for intervening in OC progression. Inhibition of FGF7 or HIF-1α signaling may be potential strategies to consider in future therapeutic interventions for OC.
Legal entity responsible for the study
The author.
Funding
National Natural Science Foundation of China.
Disclosure
The author has declared no conflicts of interest.
Resources from the same session
1P - Integrated Data Analysis within IMMUcan Identifies Prognostic Features of Early NSCLC
Presenter: Daniel Schulz
Session: Poster Display
3P - Exploratory efficacy analysis by smoking status in PD-L1 high patients in the phase III, non-small cell lung cancer (NSCLC) IMpower110 study
Presenter: Luis Paz-Ares
Session: Poster Display
4P - Immune exoproteome, soluble proteome and immune-related gene expression profiles of anti-PD-1 therapy in stage IIIB/IV Non-Small Cell Lung Cancer: relevance of immunosuppressive factors
Presenter: Paulo Santos
Session: Poster Display
5P - Blood immune-inflammatory dynamic unveils distinctive irAE features in ICI treated NSCLC
Presenter: Giulia Mazzaschi
Session: Poster Display
6P - CD161+CD127+CD8+ T cells as a critical predictor of the efficacy of anti-PD-1 immunotherapy in diabetic patients with non-small cell lung cancer
Presenter: Jingjing Qu
Session: Poster Display
7P - A T-cell-derived circulating DNA as a biomarker for response to anti-PD(L)1 immunotherapy in advanced stage non-small cell lung cancer
Presenter: Nuthchaya Mejun
Session: Poster Display
9P - Primary NSCLC patient-derived microtumors (PMTs) for clinical-relvant prediction of immunotherapy efficacy
Presenter: Fabienne Nocera
Session: Poster Display
11P - Decreased monocyte-to-lymphocyte ratio was associated with satisfied outcomes of first-line PD-1 inhibitors plus chemotherapy in stage IIIB-IV non-small cell lung cancer
Presenter: Liang Zheng
Session: Poster Display
12P - Spatially preserved multi-region transcriptomic subtyping and biomarkers associated with long-term benefit with chemoimmunotherapy in extensive-stage small cell lung cancer (ES-SCLC)
Presenter: Melina Peressini Álvarez
Session: Poster Display