Literature DB >> 25897325

Comparability of tumor-cytogenetics and -DNA-cytometry.

Alfred Böcking1.   

Abstract

Knowledge of the karyotypes of cancer cells is the theoretical underpinning of diagnostic/prognostic DNA-cytometry. Currently the translation is hampered by different terminologies of both fields. The following letter tries to close current gaps between the two fields by harmonizing their different terminologies.

Entities:  

Keywords:  Cancer cytogenetics; Diagnostic DNA-cytometry; Speciation-theory of carcinogenesis

Year:  2015        PMID: 25897325      PMCID: PMC4403948          DOI: 10.1186/s13039-015-0132-9

Source DB:  PubMed          Journal:  Mol Cytogenet        ISSN: 1755-8166            Impact factor:   2.009


Why to publish this letter

Cytogenetics and DNA-cytometry both study the karyotypic basis of the malignant transformation of cells. Their results are however rarely compared with each other, although both could profit from such comparisons. On the occasion of the excellent article by Bloomfield et al. in Mol Cytogen 7:71 (2014) this letter tries to harmonize the terminology of both fields to advance mutual understanding and thus the impact of both fields. With great interest and appreciation I have read the excellent article: “Karyotypic evolutions of cancer species in rats during the long latent periods after injection of nitrosurea” by Bloomfield et al. in Molecular Cytogenetics, 7:71 (2014). As a cytopathologist, dedicated to diagnostic and prognostic DNA-image-cytometry for 30 years, I have been interested to find out whether the „karyotypic-“ or speciation-theory” of the malignant transformation of human cells by Bloomfield et al. is consistent with my observations on the occurrence and development of DNA-aneuploidy in different types of non-neoplastic, preneoplastic and malignant human lesions. The result is: Yes, if we make the following translations:

Clonal-/DNA-stemline aneuploidy = malignancy

What Bloomfield et al. call “clonal aneuploidy” corresponds to “stemline aneuploidy” in DNA-cytometry. It is 100% specific for malignancy. We could prove that if DNA-aneuploidy is present in lesions that are not (yet) morphologically diagnosed as definitely malignant by pathologists (atypical hyperplasias, dysplasias), these lesions will develop histologically detectable malignancy within a few months to years [1-3]. We thus call these lesions: “prospectively malignant” [4-6]. The clonal aneuploidy/DNA-stemline-aneuploidy described by Bloomfield et al. defines in our experience any tissue-lesion as malignant or obligatory premalignant. The Positive Predictive Value, PPV, of clonal aneuploidy to develop histologically proven malignancy, if untreated, is 100%. Such lesions have to be treated immediately by removal.

Non clonal-/DNA-single-cell aneuploidy = possible malignancy

What Bloomfield et al. call “non clonal aneuploidy” results in “single-cell aneuploidy” in DNA-image-cytometry. We call these abnormal DNA-values of single cells “rare events” (Figure 1). The detection of non clonal aneuploidy in atypical hyperplasias or dysplasias is associated with a lower PPV in subsequent months as compared with DNA-stemline-aneuploidy (e.g. 41,2% as compared to 76,3% for Pap-smears: Grote et al., [3]). As this PPV is too high to be left for surveillance only, we also recommend therapy of the respective lesions or at least tight follow-up with repeated biopsies.
Figure 1

Rare nuclei with abnormally high DNA-contents in c, correspondig to non-clonal aneuploidy. 1c = DNA-content of one haploid chromosomal set. From a bile-duct brushing with in-situ cancer. Specifically stained for DNA according to Feulgen.

Rare nuclei with abnormally high DNA-contents in c, correspondig to non-clonal aneuploidy. 1c = DNA-content of one haploid chromosomal set. From a bile-duct brushing with in-situ cancer. Specifically stained for DNA according to Feulgen.

Number of abnormal clones/DNA-stemlines = grades of malignancy

Number and abnormality of cytogenetic clonal variants in a given cancer are equivalent of their genetic flexibility. Such clones have their cytometric equivalent in the number and abnormality of DNA-stemlines. Both parameters correlate well with the malignant potential of an individual cancer. They therefore are suited as prognostic markers for grading the malignancy of cancers [7-10]. DNA-stemlines, with clonal aneuploidy, are equally well identified by image- and flow-cytometry Motherby et al. [1]). Non clonal aneuploidy of single cells with abnormally high nuclear DNA-contents, is however only detected with sufficient sensitivity by image-cytometry (Figure 1).

From hyperplasia to malignancy

Hyperplasias and dysplasias do not generally, or a priori contain non clonal or single cell aneuploidy, as they can start as mere diploid hyperproliferations. Without any type of aneuploidy they do not yet bear a clinically relevant risk to become malignant. Yet, they are at risk to develop aneuploidy. As long, as we do not detect any type of aneuploidy in these lesions, we do not call them “prospectively malignant” or “premalignant”. But, the risk of a hyperplasia to become malignant is slightly increased by the increased rate of proliferation, which is associated with an increased risk to develop “non clonal aneuploidy”. The risk of a hyperplasia with “non clonal aneuploidy” (“single cell aneuploidy”) to develop histologically manifest cancer is already so high as to justify clinical intervention [2,3]. Thus hyperproliferation in hyperplasias or dysplasias, even without known carcinogens, are at risk to develop non-clonal and subsequent clonal aneuploidies. As soon as this has occurred, the lesion has to be considered as definitely malignant (= cancer, if it is derived from epithelial cells). Moreover, carcinogens are able to induce non clonal aneuploidy (Figure 1) even without the occurrence of hyperplasias, as for example asbestos-induced mesothelioma, radiation-induced lung cancer and tobacco-induced oral and cervical cancer. Best regards Alfred Böcking
  9 in total

1.  Diagnosis of prospective malignancy in koilocytic dysplasias of the cervix with DNA cytometry.

Authors:  R Chatelain; T Schunck; E M Schindler; A E Schindler; A Böcking
Journal:  J Reprod Med       Date:  1989-08       Impact factor: 0.142

2.  Equivocal cytology in lung cancer diagnosis: improvement of diagnostic accuracy using adjuvant multicolor FISH, DNA-image cytometry, and quantitative promoter hypermethylation analysis.

Authors:  Martin Schramm; Christian Wrobel; Ingmar Born; Marietta Kazimirek; Natalia Pomjanski; Marina William; Rainer Kappes; Claus Dieter Gerharz; Stefan Biesterfeld; Alfred Böcking
Journal:  Cancer Cytopathol       Date:  2011-03-16       Impact factor: 5.284

3.  Identification of progressive cervical epithelial cell abnormalities using DNA image cytometry.

Authors:  Hans Juergen Grote; Huy V Q Nguyen; Anand Gilbert Leick; Alfred Böcking
Journal:  Cancer       Date:  2004-12-25       Impact factor: 6.860

4.  Algorithm for a DNA-cytophotometric diagnosis and grading of malignancy.

Authors:  A Böcking; C P Adler; H H Common; M Hilgarth; B Granzen; W Auffermann
Journal:  Anal Quant Cytol       Date:  1984-03

5.  DNA-cytometric diagnosis of prospective malignancy in borderline lesions of the uterine cervix.

Authors:  A Böcking; M Hilgarth; W Auffermann; C Hack-Werdier; D Fischer-Becker; G von Kalkreuth
Journal:  Acta Cytol       Date:  1986 Nov-Dec       Impact factor: 2.319

6.  Early detection of precancerous lesions in dysplasias of the lung by rapid DNA image cytometry.

Authors:  W Auffermann; A Böcking
Journal:  Anal Quant Cytol Histol       Date:  1985-09       Impact factor: 0.302

7.  Diagnostic DNA-flow- vs. -image-cytometry in effusion cytology.

Authors:  Helma Motherby; Natalia Pomjanski; Mary Kube; Alexandra Boros; Thomas Heiden; Bernhard Tribukait; Alfred Böcking
Journal:  Anal Cell Pathol       Date:  2002       Impact factor: 2.916

Review 8.  Fourth updated ESACP consensus report on diagnostic DNA image cytometry.

Authors:  G Haroske; J P Baak; H Danielsen; F Giroud; A Gschwendtner; M Oberholzer; A Reith; P Spieler; A Böcking
Journal:  Anal Cell Pathol       Date:  2001       Impact factor: 2.916

9.  Earliest detection of oral cancer using non-invasive brush biopsy including DNA-image-cytometry: report on four cases.

Authors:  Torsten W Remmerbach; Horst Weidenbach; Alexander Hemprich; Alfred Böcking
Journal:  Anal Cell Pathol       Date:  2003       Impact factor: 2.916

  9 in total
  5 in total

1.  [Objective DNA malignancy grading as adjunct to the histological Gleason score: Frankfurt consensus].

Authors:  A Böcking; S Biesterfeld; J Dietz; G Haroske; J Kriegsmann; H Motherby; S Falk
Journal:  Pathologe       Date:  2015-09       Impact factor: 1.011

2.  Speciation Theory of Carcinogenesis Explains Karyotypic Individuality and Long Latencies of Cancers.

Authors:  Ankit Hirpara; Mathew Bloomfield; Peter Duesberg
Journal:  Genes (Basel)       Date:  2018-08-09       Impact factor: 4.096

Review 3.  DNA Karyometry for Automated Detection of Cancer Cells.

Authors:  Alfred Böcking; David Friedrich; Martin Schramm; Branko Palcic; Gregor Erbeznik
Journal:  Cancers (Basel)       Date:  2022-08-30       Impact factor: 6.575

4.  A Postgenomic Perspective on Molecular Cytogenetics.

Authors:  Henry H Heng; Steven D Horne; Sophia Chaudhry; Sarah M Regan; Guo Liu; Batoul Y Abdallah; Christine J Ye
Journal:  Curr Genomics       Date:  2018-04       Impact factor: 2.236

5.  Automated detection of cancer cells in effusion specimens by DNA karyometry.

Authors:  Alfred H Böcking; David Friedrich; Dietrich Meyer-Ebrecht; Chenyan Zhu; Anna Feider; Stefan Biesterfeld
Journal:  Cancer Cytopathol       Date:  2018-10-19       Impact factor: 5.284

  5 in total

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