Abstract |
Aim: Clinical features of esophageal cancer (EC) patients have poor prognostic power. Thus, it is paramount to discover biomarkers that can allow a more accurate survival prediction. Methods: To detect genetic variants associated with survival, DNA from 120 patients treated with cisplatin-based neoadjuvant therapy were genotyped using drug metabolism enzymes and transporters array. Results: We identified two variants: the rs2038067 in PPARD (p = 0.0004) and the rs683369 (F160L) in SLC22A1 (p = 0.001). Their prognostic power was greater than that of clinical stage alone (p = 0.017) and comparable to that of response to neoadjuvant therapy (p = 0.71). Interestingly, the prognostic accuracy of response models increased significantly when genetic variables were included (p = 0.003). Conclusion: Our data, though preliminary, strengthen the potential utility of germline variants for a better-tailored management of EC patients.
|
Authors | Enrica Rumiato, Elisa Boldrin, Sandro Malacrida, Giorgio Battaglia, Vanna Chiarion Sileni, Alberto Ruol, Alberto Amadori, Daniela Saggioro |
Journal | Pharmacogenomics
(Pharmacogenomics)
Vol. 21
Issue 6
Pg. 393-402
(04 2020)
ISSN: 1744-8042 [Electronic] England |
PMID | 32285752
(Publication Type: Journal Article, Research Support, Non-U.S. Gov't)
|
Chemical References |
- Antineoplastic Agents
- Organic Cation Transporter 1
- PPAR delta
- Cisplatin
|
Topics |
- Adult
- Aged
- Aged, 80 and over
- Antineoplastic Agents
(therapeutic use)
- Cisplatin
(therapeutic use)
- Esophageal Neoplasms
(drug therapy, genetics, mortality)
- Female
- Follow-Up Studies
- Genetic Variation
(genetics)
- Humans
- Male
- Middle Aged
- Neoadjuvant Therapy
(methods)
- Organic Cation Transporter 1
(genetics)
- PPAR delta
(genetics)
- Survival Rate
(trends)
|