دورية أكاديمية

Serum microRNAs as biomarkers for recurrence in melanoma

التفاصيل البيبلوغرافية
العنوان: Serum microRNAs as biomarkers for recurrence in melanoma
المؤلفون: Friedman Erica B, Shang Shulian, de Miera Eleazar, Fog Jacob, Teilum Maria, Ma Michelle W, Berman Russell S, Shapiro Richard L, Pavlick Anna C, Hernando Eva, Baker Adam, Shao Yongzhao, Osman Iman
المصدر: Journal of Translational Medicine, Vol 10, Iss 1, p 155 (2012)
بيانات النشر: BMC
سنة النشر: 2012
المجموعة: Directory of Open Access Journals: DOAJ Articles
مصطلحات موضوعية: Melanoma, Serum microRNA, Prognostic biomarkers, Recurrence, Surveillance, Medicine
الوصف: Background Identification of melanoma patients at high risk for recurrence and monitoring for recurrence are critical for informed management decisions. We hypothesized that serum microRNAs (miRNAs) could provide prognostic information at the time of diagnosis unaccounted for by the current staging system and could be useful in detecting recurrence after resection. Methods We screened 355 miRNAs in sera from 80 melanoma patients at primary diagnosis (discovery cohort) using a unique quantitative reverse transcription-PCR (qRT-PCR) panel. Cox proportional hazard models and Kaplan-Meier recurrence-free survival (RFS) curves were used to identify a miRNA signature with prognostic potential adjusting for stage. We then tested the miRNA signature in an independent cohort of 50 primary melanoma patients (validation cohort). Logistic regression analysis was performed to determine if the miRNA signature can determine risk of recurrence in both cohorts. Selected miRNAs were measured longitudinally in subsets of patients pre-/post-operatively and pre-/post-recurrence. Results A signature of 5 miRNAs successfully classified melanoma patients into high and low recurrence risk groups with significant separation of RFS in both discovery and validation cohorts (p = 0.0036, p = 0.0093, respectively). Significant separation of RFS was maintained when a logistic model containing the same signature set was used to predict recurrence risk in both discovery and validation cohorts (p < 0.0001, p = 0.033, respectively). Longitudinal expression of 4 miRNAs in a subset of patients was dynamic, suggesting miRNAs can be associated with tumor burden. Conclusion Our data demonstrate that serum miRNAs can improve accuracy in identifying primary melanoma patients with high recurrence risk and in monitoring melanoma tumor burden over time.
نوع الوثيقة: article in journal/newspaper
اللغة: English
تدمد: 1479-5876
العلاقة: http://www.translational-medicine.com/content/10/1/155Test; https://doaj.org/toc/1479-5876Test; https://doaj.org/article/c641fcddec5442c0bc7f788ded42b69bTest
DOI: 10.1186/1479-5876-10-155
الإتاحة: https://doi.org/10.1186/1479-5876-10-155Test
https://doaj.org/article/c641fcddec5442c0bc7f788ded42b69bTest
رقم الانضمام: edsbas.7964FEBC
قاعدة البيانات: BASE
الوصف
تدمد:14795876
DOI:10.1186/1479-5876-10-155