Purpose Of Review: Ductal carcinoma in situ (DCIS) is a noninvasive stage of disease but understood to be a nonobligate precursor to invasive breast cancer. As such, women with DCIS are routinely recommended for standard breast cancer treatment to prevent progression to invasive disease. DCIS, however, represents a heterogeneous group of lesions that differs in its biologic behavior and risk of progression. Thus, optimal treatment is unclear. This review presents the clinical trials evaluating the de-escalation of therapy, attempts at risk stratification, and future directions in the management of this disease.
Recent Findings: The de-escalation of therapy for patients with DCIS is being actively explored. Although no group of patients based on clinicopathologic features has yet been identified as suitable for omission of therapy, molecular tests appear better able to stratify patients at low risk for whom omission of radiation may be considered. Trials considering omission of surgery are ongoing, and the use of Herceptin and vaccine therapy are also being explored.
Summary: The current review provides a centralized summary enabling the clinician to better understand the complexity of DCIS and the controversies over the optimal management of this disease. It highlights the need for better risk stratification to individualize patient care.
Video Abstract: http://links.lww.com/COOG/A77.
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http://dx.doi.org/10.1097/GCO.0000000000000753 | DOI Listing |
World J Gastrointest Oncol
January 2025
Faculty of Medicine, Carol Davila University of Medicine and Pharmacy, Bucharest 050474, Romania.
Background: Pancreatic ductal adenocarcinoma (PDAC) is an aggressive lethal malignancy with limited options for treatment and a 5-year survival rate of 11% in the United States. As for other types of tumors, such as colorectal cancer, aberrant lipid synthesis and reprogrammed lipid metabolism have been suggested to be associated with PDAC development and progression.
Aim: To identify the possible involvement of lipid metabolism in PDAC by analyzing in tumoral and non-tumoral tissues the expression level of the most relevant genes involved in the long-chain fatty acid (FA) import into cell.
J Immunoassay Immunochem
January 2025
JRF Department of Pathology, Jawaharlal Nehru Medical College, Datta Meghe Institute of Higher Education and Research, Wardha, India.
Background: The rising global burden of breast cancer demands early detection and effective treatment, with a focus on prognostic and predictive markers. The eighth edition of the American Joint Committee on Cancer staging manual introduced a new prognostic staging system to increase the predictive power of the existing anatomical staging system of breast cancer. The current study aimed to establish the correlation between Ki67 expression with molecular subtypes and with the pathological prognostic stage of invasive ductal carcinoma.
View Article and Find Full Text PDFJ Exp Clin Cancer Res
January 2025
Department of Tumor Biology, Center of Experimental Medicine, University Medical Center Hamburg-Eppendorf, Martinistr, 52, 20248, Hamburg, Germany.
Background: The lack of predictive biomarkers contributes notably to the poor outcomes of patients with pancreatic ductal adenocarcinoma (PDAC). Cancer-associated fibroblasts (CAFs) are the key components of the prominent PDAC stroma. Data on clinical relevance of CAFs entering the bloodstream, known as circulating CAFs (cCAFs) are scarce.
View Article and Find Full Text PDFAnn Surg Oncol
January 2025
Wilmot Cancer Institute, University of Rochester Medical Center, Rochester, NY, USA.
Background: Preventative medication (PM) uptake is low among patients at an elevated risk of breast cancer, largely due to fears of intolerance. This study aimed to investigate whether a new, surgical advanced practice provider (APP)-run clinic was effectively prescribing PM. We hypothesized equivalent rates of PM uptake compared to consultation with medical oncologists (MD).
View Article and Find Full Text PDFSci Rep
January 2025
School of Medicine, Shaoxing University, Shaoxing, 312000, Zhejiang, China.
Nutrition and inflammation are closely related to prognosis in breast cancer patients. However, current nutritional and inflammatory measures predict disease free survival (DFS) of breast cancer are still different, and the most predictive measures remain unknown. This study aimed to compare the predictive effects of commonly used nutritional and inflammatory measures on DFS and to improve existing nutritional or inflammatory measures in order to develop a new model that is more effective for predicting postoperative recurrence and metastasis in breast cancer patients.
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