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Author Spotlight: Exploring the Role of FAM83A in Cervical Cancer
Published on: February 9, 2024
A Three-subtype Molecular model of Cervical Cancer: Multiple PI3K Pathway inhibitors suppress growth and cooperate
Hong Lou1, David Langan2, Nick Syracuse3
1Cancer Genetics Research Laboratory, Division of Cancer Epidemiology and Genetics, Frederick National Laboratory for Cancer Research, Gaithersburg, MD USA.
Objective:
Cervical cancer is caused by human papillomavirus (HPV) infections; however, there are no molecularly defined subtypes, and few approved targeted therapies. We defined molecular subtypes and tested targeted agents.
Methods:
Public datasets were analyzed; cell lines were treated with drugs; and donor T cells and their proliferation were measured.
Results:
We define three molecular subtypes: I, Wild type for PIK3CA/no YAP1 amplification; II, PIK3CA mutation/no YAP1 amplification; III, PIK3CA WT/YAP1 amplification. Patients with YAP1-amplified cervical cancer have poorer survival. The PI3K-specific inhibitors Alpelisib (BYL-719) and Inavolisib (GDC0077) inhibit the proliferation of multiple PIK3CA-mutated cervical cancer cell lines, but not a PIK3CA wild-type (WT) line. The pan-AKT inhibitor, Capivasertib (AZD5363), suppressed some but not all tested PIK3CA-mutated cell lines and one PIK3CA-wt cell line (SiHa). Alpelisib inhibits the expression of the HPV16 E7 oncoprotein, CD274/PD-L1, YAP1, and EGFR genes, only in PI3K-mutated cell lines. Treatment of an HPV16-positive, HLA-A2, PIK3CA mutant cell line (CaSki) with T cells (NexImmune), specific to HPV16 tumor antigens inhibited in a T cell: target cell ratio-dependent manner. BYL-719, in combination with donor T cells, enhances cytotoxicity against CaSki cells. Furthermore, pretreatment with BYL-719 and removing the drug, followed by treatment with donor T cells, had the maximum effect.
Conclusions:
Our study revealed molecular inhibitors targeting mutant PIK3CA cervical cancer. When combined with immune therapies, these agents may improve outcomes of advanced HPV16 cancers. Further research on targeted therapies will improve the prognosis of patients with cervical cancer.
Insights
This study defines three molecular subtypes of cervical cancer (CC) based on PIK3CA and YAP1 status. PI3K inhibitors show promise in targeting PIK3CA-mutant CC and may enhance immune therapies for advanced HPV16 cancers.
Area of Science:
- Oncology
- Molecular Biology
- Immunotherapy
Background:
- Cervical cancer (CC) is primarily caused by human papillomavirus (HPV) infections.
- Lack of molecularly defined subtypes and targeted therapies hinders effective treatment.
- Understanding molecular alterations is crucial for developing novel therapeutic strategies.
Purpose of the Study:
- To define molecular subtypes of cervical cancer.
- To evaluate the efficacy of targeted agents, specifically PI3K inhibitors, against defined subtypes.
- To explore the potential of combining targeted therapies with immune-based treatments.
Main Methods:
- Analysis of public datasets to identify molecular subtypes.
- In vitro drug treatment of cervical cancer cell lines with PI3K and pan-AKT inhibitors.
- Assessment of T cell proliferation and cytotoxicity in response to targeted agents.
Main Results:
- Three molecular subtypes were identified: PIK3CA wild-type/no YAP1 amplification, PIK3CA mutation/no YAP1 amplification, and PIK3CA wild-type/YAP1 amplification.
- YAP1-amplified cervical cancer is associated with poorer patient survival.
- PI3K inhibitors (Alpelisib, Inavolisib) selectively inhibited PIK3CA-mutated cell lines.
- Alpelisib demonstrated inhibition of HPV16 E7 oncoprotein, CD274/PD-L1, YAP1, and EGFR in PI3K-mutated cells.
- Combination therapy with Alpelisib and donor T cells enhanced anti-cancer cytotoxicity.
Conclusions:
- Targeted inhibitors effectively target PIK3CA-mutant cervical cancer.
- Combining PI3K inhibitors with immune therapies may improve outcomes for advanced HPV16-positive cervical cancer.
- Further investigation into targeted therapies is essential for improving patient prognosis.
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