Literature DB >> 9495204

Tumor cell (dys)cohesion as a prognostic factor in aspirate smears of breast carcinoma.

G H Yu1, R S Cajulis, D V De Frias.   

Abstract

As the ability of fine-needle aspiration biopsy to separate benign from malignant lesions approaches its limits, the potential to provide additional prognostic information based on these same specimens has received increasing attention. An area we have pursued is based on the recognized finding that many neoplastic cells exhibit altered expression of intercellular adhesion molecules. In this study, we evaluated a large number of preoperative fine-needle aspiration smears (83 cases) of histologically proven primary breast ductal carcinoma in an attempt to correlate the degree of cellular dyscohesion in the aspirate with the presence of local (ipsilateral axillary lymph node) metastases. We found that although the smear pattern of primary tumors greater than 3 cm showed no correlation with the presence of positive axillary nodes, the degree of tumor cell dyscohesion of tumors less than 3 cm (60 cases) as seen in aspirate smears did correlate with the presence of regional metastases. Poorly cohesive primary tumors were always associated with local metastases (4 of 4 cases, 100%) compared with those of intermediate (15 of 37 cases positive, 40%) and high cohesion (5 of 19 cases positive, 26%). Thus, we believe the evaluation of tumor cell (dys)cohesion in cytologic smears shows great promise as a simple, cost-effective technique to predict the biologic behavior of breast carcinoma.

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Year:  1998        PMID: 9495204     DOI: 10.1093/ajcp/109.3.315

Source DB:  PubMed          Journal:  Am J Clin Pathol        ISSN: 0002-9173            Impact factor:   2.493


  7 in total

1.  Role of cytologic grading in prognostication of invasive breast carcinoma.

Authors:  Nazoora Khan; Nishat Afroz; Farah Rana; Ma Khan
Journal:  J Cytol       Date:  2009-04       Impact factor: 1.000

2.  Comparative evaluation of the modified Scarff-Bloom-Richardson grading system on breast carcinoma aspirates and histopathology.

Authors:  Cherry Bansal; U S Singh; Sanjeev Misra; Kiran Lata Sharma; Vandana Tiwari; A N Srivastava
Journal:  Cytojournal       Date:  2012-01-31       Impact factor: 2.091

3.  Diagnostic efficacy of smear cytology and Robinson's cytological grading of canine mammary tumors with respect to histopathology, cytomorphometry, metastases and overall survival.

Authors:  Izabella Dolka; Michał Czopowicz; Anna Gruk-Jurka; Agata Wojtkowska; Rafał Sapierzyński; Piotr Jurka
Journal:  PLoS One       Date:  2018-01-23       Impact factor: 3.752

4.  A whole slide image-based machine learning approach to predict ductal carcinoma in situ (DCIS) recurrence risk.

Authors:  Sergey Klimov; Islam M Miligy; Arkadiusz Gertych; Yi Jiang; Michael S Toss; Padmashree Rida; Ian O Ellis; Andrew Green; Uma Krishnamurti; Emad A Rakha; Ritu Aneja
Journal:  Breast Cancer Res       Date:  2019-07-29       Impact factor: 6.466

5.  Comparative Study of Cytomorphological Robinson's Grading for Breast Carcinoma with Modified Bloom-Richardson Histopathological Grading.

Authors:  Neelam Sood; Jitendra Singh Nigam; Poonam Yadav; Shivani Rewri; Ankit Sharma; Anita Omhare; Jaya Malhotra
Journal:  Patholog Res Int       Date:  2013-09-25

Review 6.  Cytological Grading of Breast Tumors-The Human and Canine Perspective.

Authors:  Krithiga Kuppusamy; Aarathi Rajan; Aarathy Warrier; Revathy Nadhan; Dipyaman Patra; Priya Srinivas
Journal:  Front Vet Sci       Date:  2019-08-27

7.  The Novel Role of Cytomorphology from Ultrasound-Guided Fine Needle Aspiration Cytology in Evaluating the Status of Prognostic Factors including Estrogen Receptor, Progesterone Receptor and HER2 in Breast Cancer.

Authors:  Yunzhu Li; Shijun Jia; Yuqi Yao; Yehan Zhou; Shurong Li; Jiayu Li; Yang Liu
Journal:  Anal Cell Pathol (Amst)       Date:  2022-03-14       Impact factor: 2.916

  7 in total

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