OBJECTIVES: Individualized risk assessment in patients with UICC stage II colon cancer based on a panel of molecular genetic alterations. BACKGROUND: Risk assessment in patients with colon cancer and localized disease (UICC stage II) is not sufficiently reliable. Development of metachronous metastasis is assumed to be governed largely by individual tumor genetics. METHODS: Fresh frozen tissue from 232 patients (T3-4, N0, M0) with complete tumor resection and a median follow-up of 97 months was analyzed for microsatellite stability, KRAS exon 2, and BRAF exon 15 mutations. Gene expression of the WNT-pathway surrogate marker osteopontin and the metastasis-associated genes SASH1 and MACC1 was determined for 179 patients. The results were correlated with metachronous distant metastasis risk (n = 22 patients). RESULTS: Mutations of KRAS were detected in 30% patients, mutations of BRAF in 15% patients, and microsatellite instability in 26% patients. Risk of recurrence was associated with KRAS mutation (P = 0.033), microsatellite stable tumors (P = 0.015), decreased expression of SASH1 (P = 0.049), and increased expression of MACC1 (P < 0.001). MACC1 was the only independent parameter for recurrence prediction (hazard ratio: 6.2; 95% confidence interval: 2.4-16; P < 0.001). Integrative 2-step cluster analysis allocated patients into 4 groups, according to their tumor genetics. KRAS mutation, BRAF wild type, microsatellite stability, and high MACC1 expression defined the group with the highest risk of recurrence (16%, 7 of 43), whereas BRAF wild type, microsatellite instability, and low MACC1 expression defined the group with the lowest risk (4%, 1 of 26). CONCLUSIONS: MACC1 expression predicts development of metastases, outperforming microsatellite stability status, as well as KRAS/BRAF mutation status.
OBJECTIVES: Individualized risk assessment in patients with UICC stage II colon cancer based on a panel of molecular genetic alterations. BACKGROUND: Risk assessment in patients with colon cancer and localized disease (UICC stage II) is not sufficiently reliable. Development of metachronous metastasis is assumed to be governed largely by individual tumor genetics. METHODS: Fresh frozen tissue from 232 patients (T3-4, N0, M0) with complete tumor resection and a median follow-up of 97 months was analyzed for microsatellite stability, KRAS exon 2, and BRAF exon 15 mutations. Gene expression of the WNT-pathway surrogate marker osteopontin and the metastasis-associated genes SASH1 and MACC1 was determined for 179 patients. The results were correlated with metachronous distant metastasis risk (n = 22 patients). RESULTS: Mutations of KRAS were detected in 30% patients, mutations of BRAF in 15% patients, and microsatellite instability in 26% patients. Risk of recurrence was associated with KRAS mutation (P = 0.033), microsatellite stable tumors (P = 0.015), decreased expression of SASH1 (P = 0.049), and increased expression of MACC1 (P < 0.001). MACC1 was the only independent parameter for recurrence prediction (hazard ratio: 6.2; 95% confidence interval: 2.4-16; P < 0.001). Integrative 2-step cluster analysis allocated patients into 4 groups, according to their tumor genetics. KRAS mutation, BRAF wild type, microsatellite stability, and high MACC1 expression defined the group with the highest risk of recurrence (16%, 7 of 43), whereas BRAF wild type, microsatellite instability, and low MACC1 expression defined the group with the lowest risk (4%, 1 of 26). CONCLUSIONS:MACC1 expression predicts development of metastases, outperforming microsatellite stability status, as well as KRAS/BRAF mutation status.
Authors: P Sammartino; S Sibio; D Biacchi; M Cardi; P Mingazzini; M S Rosati; T Cornali; B Sollazzo; J Maherfouad Atta; A Di Giorgio Journal: Int J Colorectal Dis Date: 2014-07-01 Impact factor: 2.571
Authors: Tao Fu; Emmanouil P Pappou; Angela A Guzzetta; Marilia de Freitas Calmon; Lifeng Sun; Alexander Herrera; Fan Li; Christopher L Wolfgang; Stephen B Baylin; Christine A Iacobuzio-Donahue; Weidong Tong; Nita Ahuja Journal: Ann Surg Date: 2016-02 Impact factor: 12.969
Authors: Jacob Basson; Yun Ju Sung; Lisa de Las Fuentes; Karen Schwander; L Adrienne Cupples; D C Rao Journal: Genet Epidemiol Date: 2015-05-03 Impact factor: 2.135
Authors: F Schmid; Q Wang; M R Huska; M A Andrade-Navarro; M Lemm; I Fichtner; M Dahlmann; D Kobelt; W Walther; J Smith; P M Schlag; U Stein Journal: Oncogene Date: 2015-12-21 Impact factor: 9.867
Authors: Viktor H Koelzer; Pia Herrmann; Inti Zlobec; Eva Karamitopoulou; Alessandro Lugli; Ulrike Stein Journal: BMC Cancer Date: 2015-03-21 Impact factor: 4.430