Juniper Publishers-Cancer Therapy Oncology International Journal

Cancer Therapy & Oncology- Juniper Publishers                                                      Abbreviations cfDNA: Cell-Free DNA; NGS: Next-Generation Sequencing; WGS: Whole Genome Sequencing; WES: Whole Exome Sequencing; GH: Guardant Health; CT: Circulogene Theranostics Editorial Targeted therapy specifically aims at tumor genetic alterations s the hallmark of precision medicine. Companion diagnostic testing utilized to determine the presence or absence of certain oncogenic mutations prior to targeted treatment under the current medical guidelines will enable improved clinical outcome, and thus serves as a vital component for precision medicine. Standard clinical practice to assess genetic mutations in cancer patients has historically been through direct sampling of tumor tissue with biopsy or surgical resection. Unfortunately, tissue biopsy is...

  Cancer Therapy & Oncology- Juniper Publishers                                                    Abstract Popularized as the “Sister Joseph’s nodule” is the metastatic lesion of the umbilicus. Hitherto, cases had been reported worldwide. Therefore, this article aims to document the patterns of it obtained among an ethnic group in a developing community. Incidentally, a few indigenous doctors suspected the lesions to be of the Sister Joseph nodule type. The epidemiological data included equality of sex and the preponderance of adenocarcinomas. Keywords:  Carcinoma; Umbilicus; Metastasis; Age; Type; Sister Joseph Nodule Introduction Metastatic carcinoma of the umbilicus gained prominence when, “during the early days of the Mayo Clinic, Sister Mary Joseph, the superintendent of St. Mary’s Hospital and Dr. William Mayo’s frequent first assistant, ...

  Cancer Therapy & Oncology- Juniper Publishers                                                    Abstract Medical imaging has always been an essential component of patient management. The pixel/voxel- based machine learning (PML) in medical imaging is gaining momentum as a computer aided diagnostic (CAD) tool if it can achieve better results than radiologists, in terms of detection and bringing down costs. CAD detection of breast cancer in mammograms is one area that has proved to be smarter, but again most radiologists are suspicious of eventual outcome. Machine learning using pixel/voxel values in medical images has shown emergence as a better diagnostic tools than the segmentation or feature based input. Pixel/Voxel based calculations avoid error that is inherent to segmentation based information. Once regulatory information is used as a metadat...