Objectives: Colorectal cancer is one of the most frequent cancers worldwide and is still a major cause of cancer mortality. Her2/neu, Ki67 score, and tumor budding are independent prognostic factors in colorectal carcinomas. The objectives of the study were to evaluate Her2/neu expression, Ki67 score, and tumor budding index at invasive margin in colorectal carcinoma and find out their possible correlations with different clinicopathological factors.
Materials And Methods: An institution-based observational cross-sectional study was conducted for 18 months. Forty-one patients with histologically proven diagnosis of colorectal carcinoma were included. Histopathological and immunohistochemical analyses (Her2/neu and Ki-67) of each case were done.
Statistical Analysis: Data analysis was done using the SPSS software.
Results: A significant correlation was found between tumor budding status and pathological T stage, Dukes' and American Joint Committee on Cancer stages, and between tumor-infiltrating lymphocytes status and Ki-67 expression status ( < 0.05).
Conclusion: The prognostic importance of tumor budding in colorectal carcinoma is very clear. Considering the small sample size of the present study, the prognostic values of Her2/neu and Ki-67 are required to be explored further in larger cohorts in the future.
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http://dx.doi.org/10.1055/s-0044-1789276 | DOI Listing |
BMC Immunol
March 2025
Department of Gastroenterology, Jiangnan University Medical Center, Wuxi No.2 People's Hospital, Wuxi, Jiangsu Province, China.
Background: Hepatocellular carcinoma (HCC) is the most frequent kind of liver cancer with high morbidity and mortality rates worldwide. Altered expression of BUB1 (budding uninhibited by benzimidazole 1) gene leads to chromosome instability and aneuploidy. This study investigated the expression of BUB1 and its prognostic value as well as its correlation with immune cell infiltration and immune checkpoints in HCC.
View Article and Find Full Text PDFSouth Asian J Cancer
October 2024
Department of Pathology, Employees State Insurance Corporation (ESIC) Medical College, Bihta, Patna, Bihar, India.
Purpose: Very few studies have assessed tumor budding (TB) and poorly differentiated cell clusters (PDCs) simultaneously in colorectal cancers (CRCs). The goal of this study was to establish a correlation between these two pertinent histological features and to reinforce the importance of their incorporation in routine histopathological reporting of CRC cases as a means to predict clinical outcome.
Methods: Resection specimens of colorectal carcinoma were included in the study.
South Asian J Cancer
October 2024
Department of Radiotherapy, Medical College, Kolkata, West Bengal, India.
Objectives: Colorectal cancer is one of the most frequent cancers worldwide and is still a major cause of cancer mortality. Her2/neu, Ki67 score, and tumor budding are independent prognostic factors in colorectal carcinomas. The objectives of the study were to evaluate Her2/neu expression, Ki67 score, and tumor budding index at invasive margin in colorectal carcinoma and find out their possible correlations with different clinicopathological factors.
View Article and Find Full Text PDFWorld J Surg
March 2025
Dept. of Surgical Oncology, Dr. D. Y. Patil Medical College, Hospital & Research Center, Pune, India.
Background: Colorectal carcinoma (CRC) is a major global health issue, with significant morbidity and mortality. Although the TNM staging system remains the standard for prognosticating CRC, it fails to capture the full complexity of tumor behavior. Tumor budding (TB) and tumor invasive patterns (TIPs) are emerging as promising histopathological markers that may provide additional prognostic insights, particularly in predicting the nodal metastasis (N), lymphovascular invasion (LVI), and perineural invasion (PNI).
View Article and Find Full Text PDFAcad Radiol
March 2025
Department of Medical Imaging, The Affiliated Hospital of Jiangsu University, Zhenjiang 212001, China (X.T., Z.Z., L.J., L.Z.); Institute of Radiology and Artificial Intelligence, Jiangsu University, Zhenjiang 212000, China (H.Z., D.W., L.Z.). Electronic address:
Rationale And Objectives: To investigate a computed tomography (CT)-based multiparameter deep learning-radiomic model (DLRM) for predicting the preoperative tumor budding (TB) grade in patients with rectal cancer.
Methods: Data from 135 patients with histologically confirmed rectal cancer (85 in the Bd1+2 group and 50 in the Bd3 group) were retrospectively included. Deep learning (DL) features and hand-crafted radiomic (HCR) features were separately extracted and selected from preoperative CT-based extracellular volume (ECV) parameter images and venous-phase images.
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