Related Experiment Video
Updated: Jul 21, 2026

Optimization of Breast Biopsy and Mastectomy Sample Collection Procedures for Biobanking, Personalized Medicine, and Research Applications
Published on: September 2, 2025
Institution based tumor registry from Punjab: five year data based analysis
Hematological malignancies and lung cancer are most common in males, while breast cancer is most frequent in females in Punjab. This study provides crucial cancer frequency data for health planning in the region.
Area of Science:
- Oncology
- Epidemiology
- Public Health
Background:
- Pakistan lacks comprehensive population-based cancer registries, with no recent data from Punjab.
- Existing registries like the Karachi Cancer Registry (KCR) have limitations.
- This study addresses the data gap for cancer incidence in Punjab.
Purpose of the Study:
- To analyze cancer frequencies in Punjab.
- To provide data for future health planning and research.
- To identify common cancers in males and females in the region.
Main Methods:
- Retrospective analysis of 5100 cancer patients from Jinnah Hospital (1997-2001).
- Data collected included demographics, symptom duration, and disease stage.
- Cancers were coded using the International Classification of Disease-oncology (ICD-10).
Main Results:
- Female cancers (52.2%) were slightly more prevalent than male cancers (47.7%).
- In males, leukemia, non-Hodgkin's lymphoma, and lung cancer were most frequent.
- In females, breast cancer (38.5%) and ovarian cancer (13.6%) were the most common.
Conclusions:
- Hematological malignancies are the leading cancers in males in Punjab, followed by lung and colorectal cancer.
- Breast cancer is the most common cancer in females, followed by ovarian cancer.
- Gallbladder cancer appears more frequent in women, while cervical cancer is less common; data aids health planning.
More Related Videos
06:46Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery
Published on: September 27, 2024
07:13Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model
Published on: April 18, 2025