Tumor budding and CD8-positive (+) T-cells are recognized as prognostic factors in colorectal adenocarcinoma. We assessed CD8+ T-cell density and intratumoral budding in pretreatment rectal cancer biopsies to determine if they are predictive biomarkers for response to neoadjuvant therapy and survival. Pretreatment biopsies of locally advanced rectal adenocarcinoma from 117 patients were evaluated for CD8+ T-cell density using automated quantitative digital image analysis and for intratumoral budding and correlated with clinicopathological variables on postneoadjuvant surgical resection specimens, response to neoadjuvant therapy, and survival. Patients with high CD8+ T-cell density (≥157 per mm) on biopsy were significantly more likely to exhibit complete/near complete response to neoadjuvant therapy (66% vs. 33%, p = 0.001) and low tumor stage (0 or I) on resection (62% vs. 30%, p = 0.001) compared with patients with low CD8+ T-cell density. High CD8+ T-cell density was an independent predictor of response to neoadjuvant therapy with a 2.63 higher likelihood of complete response (95% CI 1.04-6.65, p = 0.04) and a 3.66 higher likelihood of complete/near complete response (95% CI 1.60-8.38, p = 0.002). The presence of intratumoral budding on biopsy was significantly associated with a reduced likelihood of achieving complete/near complete response to neoadjuvant therapy (odds ratio 0.36, 95% CI 0.13-0.97, p = 0.048). Patients with intratumoral budding on biopsy had a significantly reduced disease-free survival compared with patients without intratumoral budding (5-year survival 39% vs 87%, p < 0.001). In the multivariable model, the presence of intratumoral budding on biopsy was associated with a 3.35-fold increased risk of tumor recurrence (95% CI 1.25-8.99, p = 0.02). In conclusion, CD8+ T-cell density and intratumoral budding in pretreatment biopsies of rectal adenocarcinoma are independent predictive biomarkers of response to neoadjuvant therapy and intratumoral budding associates with patient survival. These biomarkers may be helpful in selecting patients who will respond to neoadjuvant therapy and identifying patients at risk for recurrence.
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http://dx.doi.org/10.1038/s41379-020-0619-8 | DOI Listing |
Int J Gynecol Pathol
January 2025
Department of Pathology, Division of Women's and Perinatal Pathology, Brigham and Women's Hospital, Harvard Medical School.
Ovarian clear cell carcinoma (OCCC) is an endometriosis-related neoplasm, in which traditional histologic grading does not show prognostic significance. Tumor budding was associated with poorer outcomes in OCCC in previous studies. We aimed to evaluate the prognostic significance of tumor budding in OCCC in an independent cohort.
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December 2024
Antalya Bilim University, Döşemealtı, Turkey.
The tumor microenvironment plays a critical role in malignant melanoma, influencing progression and patient outcomes, particularly through tumor budding (TB) and tumor-infiltrating lymphocytes (TILs). Despite the importance of TB, its detailed impact still needs to be explored, especially its interaction with TILs. This study evaluates the prognostic significance of TB and TILs in malignant melanoma, assessing their potential as indicators for disease progression and survival.
View Article and Find Full Text PDFMod Pathol
November 2024
Department of Pathology, Radboud University Medical Centre, Nijmegen, the Netherlands.
Cancers (Basel)
September 2024
Department of Oncology, Cross Cancer Institute, University of Alberta, Edmonton, AB T6G 1Z2, Canada.
Cell division is crucial for the survival of living organisms. Human cells undergo three types of cell division: mitosis, meiosis, and amitosis. The former two types occur in somatic cells and germ cells, respectively.
View Article and Find Full Text PDFCells
August 2024
Department of Life and Environmental Sciences, Statal University of Cagliari, 09042 Monserrato (CA), Italy.
Colorectal cancer (CRC) is a frequent, worldwide tumor described for its huge complexity, including inter-/intra-heterogeneity and tumor microenvironment (TME) variability. Intra-tumor heterogeneity and its connections with metabolic reprogramming and epithelial-mesenchymal transition (EMT) were investigated with explorative shotgun proteomics complemented by a Random Forest (RF) machine-learning approach. Deep and superficial tumor regions and distant-site non-tumor samples from the same patients (n = 16) were analyzed.
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