The main cause of cervical cancer is infection with Human Papilloma Virus (HPV). Loss of apoptotic control allows cancer cells to survive longer and allows time for mutation accumulation thereby increasing the ability to invade during tumor development. Treatment options for cervical cancer today are surgery, radiotherapy, and chemotherapy. Toxicity to normal cells, adverse side effects, and drug resistance are the main barriers to the use of chemotherapy. Among marine organisms such as bacteria, fungi, actinobacteria, and seaweed have been used for the treatment of cancer. has bioactive metabolites, namely alkaloids, terpenoids, flavonoids, steroids and tannins and its bioactivity has been reported against many diseases including cancer. This study aimed to evaluate the anticancer activity of on cervical cancer cells. The study used a true experimental post-test only control group design to determine the effect of extract on cancer cells. extract was given in doses of 50 μg/mL, 100 μg/mL, 200 μg/mL, and 0 μg/mL as controls. Quantitative measurement of apoptosis was measured using flowcytometry and the expression of Bcl-2, BAX, and cleaved-caspase 3 as pro and anti-apoptotic proteins was measured using immunofluorescence. Trypan blue exclusion test was performed to measure cell viability. extract significantly increased the expression of pro-apoptotic proteins BAX and cleaved caspase-3 compared to controls. Annexin V-PI analysis showed the induction of apoptosis in treated cells and decreased cell viability at 24 hours and 48 hours post-treatment (p-value <0.05). extract has potential as an anti-cancer with pro-apoptotic and anti-proliferative activity on cancer cells and can be explored further as a cervical cancer therapy.
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http://dx.doi.org/10.3389/fonc.2022.964816 | DOI Listing |
Int J Clin Oncol
January 2025
Department of Gynecologic Oncology, Saitama Medical University International Medical Center, 1397-1 Yamane, Hidaka-shi, Saitama, 350-1298, Japan.
Cervical cancer is the third most common malignant tumor in women worldwide in terms of both incidence and mortality. The field of cervical cancer treatment is rapidly evolving, and various combination therapies are being explored to enhance the efficacy of immune checkpoint inhibitors (ICI) and provide new treatment options for patients at different disease stages. Clinical trials involving immune checkpoint inhibitors are now being conducted following a phase 3 trial with cemiplimab, an ICI, which demonstrated a significant improvement in prognosis in advanced or metastatic cervical cancer patients.
View Article and Find Full Text PDFDrug Dev Res
February 2025
Department of Genetics & Biotechnology, University College of Science, Osmania University, Hyderabad, Telangana, India.
Drug resistance and cancer recurrence are major cause of Cervical cancer (CC) patient mortality. Cisplatin (CDDP) is the major drug that has been extremely used in all stages in treating CC, although relapse and malignant instances have been observed as a result of cisplatin resistance in CC. In the present study, we established Cisplatin resistant CC HeLa cell line model and the cytotoxic effects of Andro as a single agent or in combination with CDDP were investigated to assess its potential as a chemotherapeutic agent in cisplatin-resistant HeLa (CisR-HeLa) cells.
View Article and Find Full Text PDFChem Biol Drug Des
February 2025
Department of Acupuncture, Shenzhen Traditional Chinese Medicine Hospital, The Fourth Clinical Medical College of Guangzhou University of Chinese Medicine, Shenzhen, China.
The incidence of cervical cancer is high among women globally. The potential therapeutic efficacy of luteolin in the treatment of cervical cancer has been identified. Therefore, we aim to elucidate the mechanism of action of luteolin in the treatment of cervical cancer through a comprehensive approach that integrates metabolomics with bioinformatics.
View Article and Find Full Text PDFMed Phys
January 2025
Department of Radiation Medicine and Applied Sciences, University of California at San Diego, La Jolla, California, USA.
Background: Proton pencil beam scanning (PBS) treatment planning for head and neck (H&N) cancers is a time-consuming and experience-demanding task where a large number of potentially conflicting planning objectives are involved. Deep reinforcement learning (DRL) has recently been introduced to the planning processes of intensity-modulated radiation therapy (IMRT) and brachytherapy for prostate, lung, and cervical cancers. However, existing DRL planning models are built upon the Q-learning framework and rely on weighted linear combinations of clinical metrics for reward calculation.
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