Protocol No: ECCT/24/06/02 Date of Protocol: 11-06-2024

Study Title:

Investigating Genetic Markers for Predicting Cancer Treatment Response

Study Objectives:
  1. To evaluate the safety and efficacy of a new medication in reducing blood pressure in patients with hypertension.
  2. To compare the effectiveness of two different treatment regimens for managing symptoms of depression in adults.
  3. To assess the long-term outcomes of a surgical procedure for patients with advanced stage cancer.
  4. To investigate the impact of a lifestyle intervention program on weight loss and cardiovascular health in overweight individuals.
  5. To determine the optimal dosage of a novel drug in treating acute pain following surgery.
  6. To examine the effects of a dietary supplement on cognitive function in older adults with mild cognitive impairment.
  7. To explore the feasibility of a telemedicine intervention in improving access to mental health services for rural populations.
  8. To investigate the efficacy of a behavioral therapy in reducing symptoms of anxiety disorders in adolescents.
  9. To assess the safety and tolerability of a new vaccine candidate in preventing infections in children.
  10. To evaluate the impact of a physical activity intervention on quality of life and functional outcomes in patients with chronic pain conditions.
Laymans Summary:

Cancer treatment can be highly effective for some patients but less so for others. This difference in treatment response often depends on unique genetic factors within each person's cancer cells. Our study aims to identify specific genetic markers that can predict how well a patient will respond to different cancer treatments.

By examining the DNA of cancer cells from a diverse group of patients, we hope to find patterns that indicate whether a particular treatment is likely to be successful. Understanding these genetic markers will help doctors choose the most effective therapy for each individual, leading to better outcomes and fewer side effects.

Ultimately, our goal is to move towards more personalized cancer care, where treatments are tailored to the genetic makeup of each patient's cancer, improving the chances of successful treatment and recovery.

 

Abstract of Study:

Background

Cancer treatment efficacy varies significantly among patients, often due to genetic differences in tumor cells. Identifying genetic markers that predict treatment response can enhance personalized medicine approaches, leading to improved outcomes and reduced adverse effects.

Objective

This study aims to investigate genetic markers that can predict the response to cancer treatments. By analyzing the genetic profiles of tumors from a diverse patient cohort, we seek to identify patterns associated with favorable or unfavorable treatment outcomes.

Methods

We will conduct a genome-wide association study (GWAS) using tumor samples from patients undergoing various cancer therapies. High-throughput sequencing technologies will be employed to identify genetic variants. Bioinformatics tools will analyze the correlation between these genetic variants and treatment responses, including chemotherapy, targeted therapy, and immunotherapy. Multivariate analysis will control for potential confounders such as age, sex, cancer type, and stage.

Results

Preliminary data suggest the presence of specific genetic markers associated with treatment efficacy and resistance. Identifying these markers will allow us to develop predictive models for clinical use.

Conclusion

Understanding genetic markers that predict cancer treatment response has the potential to revolutionize cancer care by facilitating personalized treatment plans. This study aims to contribute to the growing field of precision oncology, ultimately improving patient outcomes and quality of life.

Keywords

Cancer genomics, genetic markers, treatment response, personalized medicine, genome-wide association study, precision oncology.