Cervical cancer is the most common malignant cancer of the female reproductive organs worldwide. Currently, cervical cancer can be prevented by vaccination and detected at an early stage via various screening methods. Malaysia, as a developing country faces a heavy disease burden of cervical cancer as it is the second most common cancer among Malaysian women. This population based study was carried out to fulfil the primary aim of determining the survival rates of Malaysian women with cervical cancer and associated factors. Data were obtained from two different sources namely, the Malaysian National Cancer Registry (MNCR) and National Health Informatics Centre (NHIC) from 1st January 2000 to 31st December 2005. Kaplan Meier analyses were conducted to identify the overall survival rates and median survival time. Differences in survival among different ethnic and age group were compared using the log-rank test. A total of 5,859 patients were included. The median survival time for cervical cancer in this study was 65.8 months and the 5-year survival rate was 71.1%. The overall observed survival rates at 1, 3 and 5 years were 94.1%, 79.3% and 71.1% respectively. The log-rank test finding also showed that there were significant differences in the 5-year survival rate among different ethnic groups. Malays had the lowest survival rate of 59.2% followed by Indians (69.5%) and Chinese (73.8%). The overall 5-year survival rate among patients with cervical cancer in Malaysia is relatively good. Age and ethnic groups remain as significant determining factors for cervical cancer survival rate.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.7314/apjcp.2015.16.7.3067 | DOI Listing |
Clin Transl Oncol
January 2025
UPMC Hillman Cancer Center, University of Pittsburgh, Pittsburgh, PA, USA.
Background: Small extracellular vesicles (sEV) released by tumor cells (tumor-derived sEV; TEX) mediate intercellular communication between tumor and non-malignant cells and were shown to impact disease progression. This study investigates the relationship between the expression levels of the vesiculation-related genes linked to sEV production and the tumor microenvironment (TME).
Methods: Two independent gene sets were analyzed, both previously linked to sEV production in various non-malignant or malignant cells.
J Cancer Educ
January 2025
Department of Comprehensive Radiation Oncology, The University of Tokyo, 7-3-1 Hongo Bunkyo-Ku, Tokyo, 113-0033, Japan.
Chem Biodivers
January 2025
Department of Pharmacy, Bangabandhu Sheikh Mujibur Rahman Science and Technology University, Gopalganj, Dhaka, Bangladesh.
Hinokitiol (HK), a monoterpenoid that naturally occurs in plants belonging to the Cupressaceae family, possesses important biological activities, including an anticancer effect. This review summarizes its anticancer potential and draws possible molecular interventions. In addition, it evaluates the biopharmaceutical, toxicological properties, and clinical application of HK to establish its viability for future advancement as a dependable anticancer medication.
View Article and Find Full Text PDFMol Biol Rep
January 2025
Department of Bioscience and Engineering, National Institute of Technology, Calicut, Kerala, 673601, India.
Despite the recent advances in vaccination and treatment strategies, cervical cancer continues to claim numerous lives every year. Owing to the fact that non-coding RNAs (ncRNAs) such as long non-coding RNAs (lncRNAs) and microRNAs (miRNAs) interact with coding transcripts, and effectuate key roles in the tumorigenesis and metastasis of cervical cancer, there has been extensive research in recent years to explore their potential as biomarkers for early detection, or as therapeutic targets. Through this review, we aim to provide a comprehensive overview of the recent advancements in discoveries about cervical cancer-associated lncRNA-miRNA-mRNA axes, their dysregulation, and their roles in various signaling pathways associated with the growth, survival, invasion, and metastasis of cervical cancer cells.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!