Literature DB >> 2179910

Cytophotometry in tumor pathology. A critical review of methods and applications, and some results of DNA analysis.

W Mellin1.   

Abstract

In tumor pathology the quantitation of cellular substances can be of diagnostic value. Microscope cytophotometry and digital image analysis and, on the other hand, flow cytometry are supplementary methods for measuring, each with a typical spectrum of application. The methods are predominantly used for DNA analysis: Static and image cytophotometry are applicable to cytologic and histologic slides preferably for identifying stem lines in tumors of heterogenous morphology and in merely circumscribed lesions (e.g., precancerous lesions). On the other hand, sampling errors due to preselection, and the often low number of cells actually measured, may preclude the possibility of exact cell cycle analysis. This is, in fact, an important additional option of flow cytometry resulting from the high resolution of DNA histograms, which is explained by the large number of cells that can be measured in a short period. Sampling errors in flow cytometry may result from the preparation of single cell suspensions which in certain tumor entities may suppress a varying amount of particularly fragile cells or nuclei. The prognostic significance of DNA ploidy, stem line heterogeneity and S-phase fraction is clearly described in quite a number of tumor entities. Independent of its prognostic value, the cytometric identification of stem lines might be particularly useful in the follow-up of tumor patients, where it may indicate the effectivity of systemic therapy. The development of therapeutic concepts is aptly supported by flow cytometric cell cycle analysis which helps to assess the in vitro effect of combined cytostatics on the proliferative process. Moreover, multiparameter analysis of biopsy samples may provide greater accuracy in characterising individual tumor stem lines and may furthermore help to develop improved protocols for the therapy of solid tumors.

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Year:  1990        PMID: 2179910     DOI: 10.1016/S0344-0338(11)81010-1

Source DB:  PubMed          Journal:  Pathol Res Pract        ISSN: 0344-0338            Impact factor:   3.250


  10 in total

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5.  Diagnostic value of DNA image cytometry in ulcerative colitis.

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6.  Nuclear DNA content in 27 pancreatic endocrine tumours: correlation with malignancy, survival and expression of glycoprotein hormone alpha chain.

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8.  DNA densitometry of colorectal cancer.

Authors:  G T Deans; K Williamson; P Hamilton; M Heatley; K Arthurs; C C Patterson; B J Rowlands; T G Parks; R A Spence
Journal:  Gut       Date:  1993-11       Impact factor: 23.059

Review 9.  Progress in immunocytochemical staining for cervical cancer screening.

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Journal:  Cancer Manag Res       Date:  2019-02-22       Impact factor: 3.989

10.  Gross genomic damage measured by DNA image cytometry independently predicts gastric cancer patient survival.

Authors:  J A M Belien; T E Buffart; A J Gill; M A M Broeckaert; P Quirke; G A Meijer; H I Grabsch
Journal:  Br J Cancer       Date:  2009-09-15       Impact factor: 7.640

  10 in total

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