Objective: To assess the value of quantitative methods in the differential diagnosis between ovarian carcinoma cells and mesothelial cells in ascitic fluids.

Study Design: Ninety ascitic fluid samples, previously reported as positive for ovarian carcinoma (30 cases), suspicious for malignancy (30) and negative for malignancy, containing only reactive mesothelial cells (30), were retrieved from the files. In each of these specimens the nuclear area, perimeter, roundness and shape coefficient of 100 cells were determined at 630 x magnification. Statistical analysis was performed using analysis of variance and, for multiple comparisons, the Student-Newman-Keuls technique.

Results: Mean values for nuclear area and perimeter were higher in malignant cells as compared to reactive mesothelial cells, whereas those for roundness and shape coefficients were lower. All differences were statistically significant, the former two at a .05 level and the latter at the .001 level.

Conclusion: Quantitative methods can reliably support the differential diagnosis between ovarian carcinoma cells and mesothelial cells in ascitic fluid specimens.

Download full-text PDF

Source

Publication Analysis

Top Keywords

ovarian carcinoma
16
mesothelial cells
16
quantitative methods
8
differential diagnosis
8
diagnosis ovarian
8
cells
8
carcinoma cells
8
cells mesothelial
8
cells ascitic
8
ascitic fluid
8

Similar Publications

Background: LIGHT (oLaparib In HRD-Grouped Tumor types; NCT02983799) prospectively evaluated olaparib treatment in patients with platinum-sensitive relapsed ovarian cancer (PSROC) assigned to cohorts by known BRCA mutation (BRCAm) and homologous recombination deficiency (HRD) status: germline BRCAm (gBRCAm), somatic BRCAm (sBRCAm), HRD-positive non-BRCAm, and HRD-negative. At the primary analysis, olaparib treatment demonstrated activity across all cohorts, with greatest efficacy in terms of objective response rate and progression-free survival observed in the g/sBRCAm cohorts. The authors report final overall survival (OS).

View Article and Find Full Text PDF

Background: Morphine, a mu-opioid receptor (MOR) agonist commonly utilized in clinical settings alongside chemotherapy to manage chronic pain in cancer patients, has exhibited contradictory effects on cancer, displaying specificity toward certain cancer types and doses.

Objective: The aim of this study was to conduct a systematic assessment and comparison of the impacts of morphine on three distinct cancer models in a preclinical setting.

Methods: Viability and apoptosis assays were conducted on a panel of cancer cell lines following treatment with morphine, chemotherapy drugs alone, or their combination.

View Article and Find Full Text PDF

Background: The causal relationship between percentage of fat in milk consumption and cancer risk lacks sufficient investigation. The purpose of this study was to explore whether the percentage of fat in milk consumption is a factor that affects the risk variation of several common types of cancer.

Methods: Mendelian randomization (MR) was performed to estimate the unconfounded causal relationship between the percentage of fat in milk consumption and the risk of six cancers related to milk intake, as well as to assess the associations between body fat percentage and these cancers.

View Article and Find Full Text PDF

Los olvidados: Non-BRCA variants associated with Hereditary breast cancer in Mexican population.

Breast Cancer Res

January 2025

Servicio de Oncología, Centro Universitario Contra el Cáncer (CUCC), Hospital Universitario "Dr. José Eleuterio González", Universidad Autónoma de Nuevo León, 66451, Monterrey, Nuevo León, México.

Background: Hereditary predisposition to breast and ovarian cancer syndrome (HBOC) is a pathological condition with increased cancer risk, including breast (BC), ovarian cancer (OC), and others. HBOC pathogenesis is caused mainly by germline pathogenic variants (GPV) in BRCA1 and BRCA2 genes. However, other relevant genes are related to this syndrome diagnosis, prognosis, and treatment, including TP53, PALB2, CHEK2, ATM, etc.

View Article and Find Full Text PDF

Background: Complete Cytoreduction (CC) in ovarian cancer (OC) has been associated with better outcomes. Outcomes after CC have a multifactorial and interrelated cause that may not be predictable by conventional statistical methods. Artificial intelligence (AI) may be more accurate in predicting outcomes.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!