Background: Quantitative methods in combination with other objective prognostic criteria can improve the evaluation of a cancer patient's prognosis, and possibly predict response to therapy. One of the important prognostic and predictive markers is the mitotic count, which has proven valuable in many aspects. In this study, the prognostic value of the mitotic count was assessed in breast cancer (BC) patients in Saudi Arabia.
Patients And Methods: The study comprised a series of 87 patients diagnosed and treated for breast cancer at the Departments of Surgery and Oncology, King Abdul-Aziz University Hospital, between 2000 and 2008. Mitotic counts were carried out using a standard laboratory microscope (objective, × 40; field diameter, 420 μm). The number of mitotic figures in 10 consecutive high-power fields (hpf) from the most cellular area of the sample gave the mitotic activity index (MAI, mitotic figures/10 hpf). The standardized mitotic index (SMI) recorded the mitotic count as the number of mitotic figures by area of the neoplastic tissue in the microscopic field, thus the number of mitoses in 10 consecutive fields was corrected for the volume fraction and field size (mitotic figures/mm²).
Results: The means of MAI and SMI of the tumors in the entire series of 87 patients were 15 mitotic figures/10 hpf (range 4-45) and 4 mitotic figures/mm² (range 1-9), respectively. The mitotic counts were higher in advanced stages than in early cancer (p < 0.04). The mitotic counts were significantly larger in patients with high-grade tumor (p < 0.004) and in cases with tumor metastasis (p < 0.004). The mitotic counts were also significantly larger in the recurrent cases than in non-recurrent ones (p < 0.02).
Conclusion: The quantitatively measurable mitotic counts of cancer cell nuclei are of significant prognostic value in invasive ductal carcinoma of the breast in Saudi Arabia and the mean cut-off values of MAI and SMI can be applied as objective (quantitative) criteria to distinguish breast cancer patients into groups with favorable and less favorable prognosis.
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Am J Surg Pathol
December 2024
Department of Pathology, Microbiology and Immunology, Vanderbilt University Medical Center.
DEK::AFF2 fusion nonkeratinizing squamous cell carcinoma (NKSCC) is an emerging entity in the sinonasal tract, temporal bone, and skull base. However, the clinical behavior of these tumors has not been well studied. Here, we report the largest cohort of DEK::AFF2 carcinomas to determine if morphology, mitotic rate, and/or Ki-67 IHC are associated with patient outcomes, including a comparison with high-risk human papillomavirus (HPV)-associated and independent patients.
View Article and Find Full Text PDFFront Oncol
December 2024
Department of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai, China.
Background: For esophageal squamous cell carcinoma (ESCC), universally accepted pathological criteria for classification by differentiation degree are lacking. Tumor budding, single-cell invasion, and nuclear grade, recognized as prognostic factors in other carcinomas, have rarely been investigated for their correlation with differentiation and prognosis in ESCC. This study aims to determine if pathological findings can predict differentiation degree and prognosis in ESCC.
View Article and Find Full Text PDFJ Med Case Rep
December 2024
Department of Pathology, Faculty of Medicine, University of Colombo, Colombo 08, Sri Lanka.
Introduction: Primary bone marrow diffuse large B-cell lymphoma is a rare clinical entity, and the "bone marrow-liver-spleen" type of diffuse large B-cell lymphoma is rarer, with only a few published cases in literature. Though bone marrow-liver-spleen-type diffuse large B-cell lymphoma has unique presentations such as fever, cytopenias, and hemophagocytic lymphohistiocytosis, no cases with cold autoimmune hemolytic anemia have been reported.
Case Presentation: A 39-year-old Sri Lankan woman, previously healthy, presented with shortness of breath, productive cough, and fever for 4 days.
Sci Rep
December 2024
Research Center, Future University in Egypt, New Cairo, 11835, Egypt.
Image processing and pattern recognition methods have recently been extensively implemented in histopathological images (HIs). These computer-aided techniques are aimed at detecting the attentive biological markers for assisting the final cancer grading. Mitotic count (MC) is a significant cancer detection and grading parameter.
View Article and Find Full Text PDFCommun Biol
December 2024
Department of Medical Physics and Biomedical Engineering, University College London, London, UK.
Mitotic activity is an important feature for grading several cancer types. However, counting mitotic figures (cells in division) is a time-consuming and laborious task prone to inter-observer variation. Inaccurate recognition of MFs can lead to incorrect grading and hence potential suboptimal treatment.
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