Dataset Information

BRAF V600E and SRC mutations as molecular markers for predicting prognosis and conversion surgery in Stage IV colorectal cancer.

ABSTRACT: Comprehensive genomic sequencing (CGS) enables us to detect numerous genetic alterations in a single assay. We aimed to identify molecular markers for predicting prognosis and conversion surgery in Stage IV colorectal cancer (CRC) using CGS. One-hundred eleven patients with Stage IV CRC who underwent primary tumor resection were analyzed. We retrospectively investigated genetic alterations using CGS of a 415-gene panel. Clinicopathological variables and genetic alterations were analyzed to identify independent prognostic factors of overall survival (OS). Forty-five of 111 patients had R0 resection; of these, 11 patients underwent conversion surgery. Univariate and multivariate analyses identified histopathological grade 3, R0 resection, BRAF V600E mutation, and SRC mutation as independent prognostic factors for OS (P?=?0.041, P?=?0.013, P?=?0.005, and P?=?0.023, respectively). BRAF V600E and SRC mutations were mutually exclusive, and SRC mutation was significantly associated with left-sided tumor and liver metastasis compared to BRAF V600E mutation (P?=?0.016 and P?=?0.025, respectively). Eleven of the 74 initially unresectable patients underwent conversion surgery for R0 resection, yet none harbored BRAF V600E or SRC mutations. BRAF V600E and SRC mutations are important molecular markers which can predict prognosis and conversion surgery in Stage IV CRC.

SUBMITTER: Shimada Y

PROVIDER: S-EPMC6384937 | biostudies-literature | 2019 Feb

REPOSITORIES: biostudies-literature

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BRAF V600E and SRC mutations as molecular markers for predicting prognosis and conversion surgery in Stage IV colorectal cancer.

Shimada Yoshifumi Y Muneoka Yusuke Y Nagahashi Masayuki M Ichikawa Hiroshi H Tajima Yosuke Y Hirose Yuki Y Ando Takuya T Nakano Masato M Sakata Jun J Kameyama Hitoshi H Takii Yasumasa Y Ling Yiwei Y Okuda Shujiro S Takabe Kazuaki K Wakai Toshifumi T

Scientific reports 20190221 1

Comprehensive genomic sequencing (CGS) enables us to detect numerous genetic alterations in a single assay. We aimed to identify molecular markers for predicting prognosis and conversion surgery in Stage IV colorectal cancer (CRC) using CGS. One-hundred eleven patients with Stage IV CRC who underwent primary tumor resection were analyzed. We retrospectively investigated genetic alterations using CGS of a 415-gene panel. Clinicopathological variables and genetic alterations were analyzed to ident ...[more]

PMID: 30792536

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Project description:BACKGROUND:Approximately one third of women who develop melanoma at childbearing age are diagnosed during gestation or the postpartum period, facing pregnancy-associated melanoma (PAM). However, only some retrospective studies with heterogeneous data have analyzed the impact of pregnancy on melanoma development, and no evidence exists about the behavior and the management of BRAF-mutated disease. SUBJECTS, MATERIALS, AND METHODS:In order to better describe the evolution of BRAF V600E-mutated PAM, we present here all consecutive cases diagnosed in our site during the last 7?years, recording oncological, obstetrical, and perinatal parameters, as well as the therapeutic decisions for both melanoma and gestation. Based on our institutional experience, we weigh the current published evidence and discuss upcoming clinical considerations about the prognosis of PAM, the role of BRAF status, and the possible treatment options during pregnancy in localized or advanced/metastatic disease. Five women were diagnosed with newly metastatic or relapsed BRAF V600E-mutated PAM (four during gestation and one in the 1st year postpartum) between 2012 and 2019. All of them developed extensive metastatic disease with multiple organ involvement, and four developed brain metastases. All cases experienced melanoma progression in less than 6 months under targeted therapy and died soon independently of the followed sequence of treatments. All the neonates were delivered alive and healthy, but one developed melanoma earlier than the second year of life. RESULTS:Reviewing the literature to confirm our unfavorable outcomes, no specific data on BRAF-mutated PAM were retrieved and current evidence still supports that the prognosis of PAM should be guided by the established risk factors, whereas the management of advanced/metastatic PAM should be evaluated on a case-by-case basis. CONCLUSION:More data are required to ascertain whether BRAF-mutated profile adversely affects PAM outcome, although the clinicians should be aware to detect any potential melanoma lesion during pregnancy as soon as possible, treating it locally, regardless of its BRAF status. IMPLICATIONS FOR PRACTICE:The prognosis and management of pregnancy-associated melanoma whether BRAF-mutated or wild type, is currently guided by the same parameters as in the nonpregnant condition. In this special nontrial subpopulation, BRAF-mutated status seems to have a detrimental effect on disease outcome, independently of the following treatments. In early stage melanoma, wide local excision with or without sentinel lymph node dissection may be curative at any trimester of gestation, while in advanced/metastatic setting, therapeutic strategy including immune-checkpoint or BRAF/MEK inhibitors, is more challenging, regardless of BRAF status, and should be based on an individualized decision in each case at a multidisciplinary level.

Project description:Background Ameloblastoma is a locally invasive and aggressive epithelial odontogenic neoplasm. The BRAF-V600E gene mutation is a prevalent genetic alteration found in this tumor and is considered to have a crucial role in its pathogenesis. The objective of this study is to develop and validate a radiomics-based machine learning method for the identification of BRAF-V600E gene mutations in ameloblastoma patients. Methods In this retrospective study, data from 103 patients diagnosed with ameloblastoma who underwent BRAF-V600E mutation testing were collected. Of these patients, 72 were included in the training cohort, while 31 were included in the validation cohort. To address class imbalance, synthetic minority over-sampling technique (SMOTE) is applied in our study. Radiomics features were extracted from preprocessed CT images, and the most relevant features, including both radiomics and clinical data, were selected for analysis. Machine learning methods were utilized to construct models. The performance of these models in distinguishing between patients with and without BRAF-V600E gene mutations was evaluated using the receiver operating characteristic (ROC) curve. Results When the analysis was based on radiomics signature, Random Forest performed better than the others, with the area under the ROC curve (AUC) of 0.87 (95%CI, 0.68-1.00). The performance of XGBoost model is slightly lower than that of Random Forest, and its AUC is 0.83 (95% CI, 0.60-1.00). The nomogram evident that among younger women, the affected region primarily lies within the mandible, and patients with larger tumor diameters exhibit a heightened risk. Additionally, patients with higher radiomics signature scores are more susceptible to the BRAF-V600E gene mutations. Conclusions Our study presents a comprehensive radiomics-based machine learning model using five different methods to accurately detect BRAF-V600E gene mutations in patients diagnosed with ameloblastoma. The Random Forest model’s high predictive performance, with AUC of 0.87, demonstrates its potential for facilitating a convenient and cost-effective way of identifying patients with the mutation without the need for invasive tumor sampling for molecular testing. This non-invasive approach has the potential to guide preoperative or postoperative drug treatment for affected individuals, thereby improving outcomes.

Dataset Information

BRAF V600E and SRC mutations as molecular markers for predicting prognosis and conversion surgery in Stage IV colorectal cancer.

Publications

BRAF V600E and SRC mutations as molecular markers for predicting prognosis and conversion surgery in Stage IV colorectal cancer.

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