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Colon Cancer, Version 2.2021, NCCN Clinical Practice Guidelines in Oncology.

Al B. Benson, +38 more
- 02 Mar 2021 - 
- Vol. 19, Iss: 3, pp 329-359
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TLDR
The NCCN Clinical Practice Guidelines in Oncology (NCCN Guidelines) for Colon Cancer focuses on systemic therapy options for the treatment of metastatic colorectal cancer (mCRC), because important updates have recently been made to this section as discussed by the authors.
Abstract
This selection from the NCCN Clinical Practice Guidelines in Oncology (NCCN Guidelines) for Colon Cancer focuses on systemic therapy options for the treatment of metastatic colorectal cancer (mCRC), because important updates have recently been made to this section. These updates include recommendations for first-line use of checkpoint inhibitors for mCRC, that is deficient mismatch repair/microsatellite instability-high, recommendations related to the use of biosimilars, and expanded recommendations for biomarker testing. The systemic therapy recommendations now include targeted therapy options for patients with mCRC that is HER2-amplified, or BRAF V600E mutation-positive. Treatment and management of nonmetastatic or resectable/ablatable metastatic disease are discussed in the complete version of the NCCN Guidelines for Colon Cancer available at NCCN.org. Additional topics covered in the complete version include risk assessment, staging, pathology, posttreatment surveillance, and survivorship.

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Treatment of Anal High-Grade Squamous Intraepithelial Lesions to Prevent Anal Cancer

TL;DR: In this article , the authors conducted a phase 3 trial at 25 U.S. sites, where participants living with HIV who were 35 years of age or older and who had biopsy-proven anal HSIL were randomly assigned to receive either HSIL treatment or active monitoring without treatment.
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Somatic Genomic Testing in Patients With Metastatic or Advanced Cancer: ASCO Provisional Clinical Opinion

TL;DR: The ASCO provisional clinical opinion as mentioned in this paper addresses the appropriate use of tumor genomic testing in patients with metastatic or advanced solid tumors, and provides guidance on when and how to interpret the results for treatment selection, including the functional impact of targeted alteration and expected efficacy of genomic biomarker-linked options relative to other approved or investigational treatments.
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Magnetic resonance imaging radiomics predicts preoperative axillary lymph node metastasis to support surgical decisions and is associated with tumor microenvironment in invasive breast cancer: A machine learning, multicenter study.

TL;DR: Wang et al. as mentioned in this paper used machine learning techniques to develop an efficient preoperative magnetic resonance imaging (MRI) radiomics evaluation approach of axillary lymph node status and explore the association between radiomics and the tumor microenvironment in patients with early-stage invasive breast cancer.
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