Unlabelled: Ductal carcinoma in situ (DCIS) is a precursor to invasive breast cancer. The frequency of DCIS is increasing because of routine mammography; however, the biological features and intratumoral heterogeneity of DCIS remain obscure. To address this deficiency, we performed single-cell transcriptomic profiling of DCIS and invasive ductal carcinoma (IDC). DCIS was found to be composed of several transcriptionally distinct subpopulations of cancer cells with specific functions. Several transcripts, including long noncoding RNAs, were highly expressed in IDC compared with DCIS and might be related to the invasive phenotype. Closeness centrality analysis revealed extensive heterogeneity in DCIS, and the prediction model for cell-to-cell interactions implied that the interaction network among luminal cells and immune cells in DCIS was comparable with that in IDC. In addition, transcriptomic profiling of HER2+ luminal DCIS indicated HER2 genomic amplification at the DCIS stage. These data provide novel insight into the intratumoral heterogeneity and molecular features of DCIS, which exhibit properties similar to IDC.
Significance: Investigation of the molecular features of ductal carcinoma in situ at single cell resolution provides new insights into breast cancer biology and identifies candidate therapeutic targets and diagnostic biomarkers.
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http://dx.doi.org/10.1158/0008-5472.CAN-22-0090 | 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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