Pharmacogenetic prediction of clinical outcome in advanced colorectal cancer patients receiving oxaliplatin/5-fluorouracil as first-line chemotherapy
2008

Pharmacogenetic Prediction in Colorectal Cancer Treatment

Sample size: 126 publication Evidence: moderate

Author Information

Author(s): Paré L, Marcuello E, Altés A, Río E del, Sedano L, Salazar J, Cortés A, Barnadas A, Baiget M

Primary Institution: Hospital de la Santa Creu i Sant Pau, Barcelona, Spain

Hypothesis

Can genetic polymorphisms predict clinical outcomes in advanced colorectal cancer patients receiving oxaliplatin/5-fluorouracil as first-line chemotherapy?

Conclusion

The study found that certain genetic polymorphisms can predict the response and survival outcomes in colorectal cancer patients treated with oxaliplatin-based chemotherapy.

Supporting Evidence

  • Patients with the ERCC1-118 TT or CT genotype had a 3.7 times greater probability of response compared to those with the CC genotype.
  • Median progression-free survival was 10 months for TT and CT cases compared to 6 months for CC patients.
  • Median overall survival was 30 months for TT and CT cases compared to 11 months for CC cases.

Takeaway

Doctors can use specific genes to help decide how well a cancer treatment might work for patients with colorectal cancer.

Methodology

The study involved 126 colorectal cancer patients treated with oxaliplatin and 5-fluorouracil, analyzing genetic polymorphisms to predict clinical outcomes.

Potential Biases

Potential biases may arise from the selection of patients and the assessment of clinical outcomes.

Limitations

The study may not account for all genetic factors influencing treatment response and was limited to a specific patient population.

Participant Demographics

The study included 126 patients, with a median age of 66 years, consisting of 64% men and 36% women.

Statistical Information

P-Value

P=0.008 for ERCC1-118 significance

Confidence Interval

95% CI: 1.4–9 for response probability

Statistical Significance

p<0.05

Digital Object Identifier (DOI)

10.1038/sj.bjc.6604671

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