Academic Journal

Clinical Practice of Targeted Capture Sequencing to Identify Actionable Alterations in Cholangiocarcinoma

التفاصيل البيبلوغرافية
العنوان: Clinical Practice of Targeted Capture Sequencing to Identify Actionable Alterations in Cholangiocarcinoma
المؤلفون: Kai Ma, Youpeng Wang, Yuanzheng Zhang, Hongfa Sun, Xuhui Zhang, Chuandong Sun, Bingyuan Zhang, Ying Zhang, Haoyue Cheng, Ao Liu, Mengyao Wang, Bing Han
المصدر: Cancers; Volume 14; Issue 20; Pages: 5062
بيانات النشر: Multidisciplinary Digital Publishing Institute
سنة النشر: 2022
المجموعة: MDPI Open Access Publishing
مصطلحات موضوعية: cholangiocarcinoma, capture-based targeted sequencing, actionable genetic alterations, mutation landscape, biomarker
الوصف: The early diagnosis and treatment of cholangiocarcinoma (CCA) remain a challenge worldwide. Genetic testing promises to solve these problems. Due to the different mutation landscapes across populations and the paucity of sequencing data of Chinese patients with CCA, the existing mutation landscape is insufficient to reflect the mutation characteristics of Chinese patients. Thus, we retrospectively analyzed 72 Chinese patients with CCA who had received genetic testing of targeted capture sequencing. A total of 2152 somatic mutations were detected in 56 (77.78%) patients, of which, the frequently mutated driver genes were TP53 (27.78%), KMT2D (23.81%), KMT2C (20.63%), BCOR (18.06%), APC (15.28%), BAP1 (13.89%), ARID1A (12.50%), NF1 (12.50%), PIK3CA (12.50%), KRAS (11.11%), and LRP1B (11.11%). Most mutations were enriched in NRF2, TP53, and TGF-Beta oncogenic signaling pathways and cadherin repeat domains which were associated with intercellular adhesion. Based on cancer-related public databases and multiple protein function prediction algorithms, we identified 118 novel pathogenic or likely pathogenic somatic mutations and 77 actionable alterations. Molecular analysis of tumors from a precision oncology perspective can provide potential targets for early diagnosis and treatment of CCA and assist physicians in clinical decision making.
نوع الوثيقة: text
وصف الملف: application/pdf
اللغة: English
Relation: Cancer Biomarkers; https://dx.doi.org/10.3390/cancers14205062
DOI: 10.3390/cancers14205062
الاتاحة: https://doi.org/10.3390/cancers14205062
Rights: https://creativecommons.org/licenses/by/4.0/
رقم الانضمام: edsbas.AC5C2EE6
قاعدة البيانات: BASE