Gene/Protein Disease Symptom Drug Enzyme Compound
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Query: UMLS:C0033036 (APC)
 10,214 document(s) hit in 31,850,051 MEDLINE articles (0.00 seconds)

We investigated the adenoma-carcinoma sequence in intraductal papillary-mucinous neoplasm from the aspect of genetic changes. The formalin-fixed paraffin-embedded tumors and surrounding normal pancreatic tissues from patients with 16 intraductal papillary-mucinous adenoma of the pancreas (IPMA) and 10 intraductal papillary-mucinous carcinoma of the pancreas (IPMC) were provided for DNA extraction after microdissection. SSCP-DNA sequencing analysis demonstrated K-ras mutations at codon 12 in 75% of IPMA and 70% of IPMC, while those at codon 13 were observed neither in IPMA nor IPMC. There were no characteristic K-ras mutation types in IPMA and IPMC and no significant differences in incidence of K-ras mutations between the two categories. The frequencies of p53 mutations analyzed by SSCP-DNA sequencing were not high in IPMA (18.8%) and IPMC (30%), showing no significant difference between them. LOHs of APC in IPMA and IPMC were infrequent (6.3 and 20%, respectively) and showed no significant difference in incidence between the two categories. The LOH frequencies of DCC in IPMA and IPMC were 31.3 and 40%, respectively, and were not statistically different from each other. Taken together, genetic changes such as K-ras, p53, APC and DCC mutations may not be associated with adenoma-carcinoma sequence in intraductal papillary-mucinous neoplasm of pancreas.
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PMID:Genetic alterations in adenoma-carcinoma sequencing of intraductal papillary-mucinous neoplasm of the pancreas. 1237 Jul 56

Liquid biopsies from circulating tumor DNA (ctDNA) have been employed recently as a non-invasive diagnostic tool for detecting cancer-specific gene mutations. Here, we show the comprehensive gene mutation profiles of ctDNA in 51 patients with different histological subtypes of stage I-IV ovarian cancer, and their association with clinical outcomes. The ctDNA extracted from pre-treatment patients' plasma were analyzed using Cancer Personalized Profiling by Deep Sequencing targeting 197 genes. Of 51 patients, 48 (94%) showed one or more non-synonymous somatic mutations, including TP53 (37.3%), APC (17.6%), KRAS (15.7%), EGFR (13.7%), MET (11.8%), PIK3CA (11.8%), NPAP1 (11.8%), and ALK (9.8%). The most frequently mutated genes were as follows: TP53 in high-grade serous carcinoma (66.7%), APC in clear cell carcinoma (30.8%), PIK3CA in endometrioid carcinoma (40%), and KRAS in mucinous carcinoma (66.7%). Higher cell-free (cf)DNA concentration significantly correlated with worse progression-free survival (PFS) in all patients as well as stage III-IV patients (p = 0.01 and 0.005, respectively). Further, patients with any pathogenic mutations showed significantly worse PFS (p = 0.048). Blood tumor mutational burden detected from ctDNA did not significantly correlate with the histological subtypes or survival. Collectively, clinico-genomic profiles of individual ovarian cancer patients could be identified using ctDNA and may serve as a useful prognostic indicator. These findings suggest that ctDNA-based gene profiling might help in establishing personalized therapeutic strategies.
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PMID:Comprehensive Gene Mutation Profiling of Circulating Tumor DNA in Ovarian Cancer: Its Pathological and Prognostic Impact. 3320 45