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Evaluation Criteria for Chromosome Instability Detection by FISH to Predict Malignant Progression in Premalignant Glottic Laryngeal Lesions.

Authors :
Bergshoeff VE
Balkenhol MCA
Haesevoets A
Ruland A
Chenault MN
Nelissen RC
Peutz CJ
Clarijs R
Van der Laak JAWM
Takes RP
Van den Brekel MW
Van Velthuysen MF
Ramaekers FCS
Kremer B
Speel EM
Source :
Cancers [Cancers (Basel)] 2022 Jul 03; Vol. 14 (13). Date of Electronic Publication: 2022 Jul 03.
Publication Year :
2022

Abstract

Background: The definition of objective, clinically applicable evaluation criteria for FISH 1c/7c in laryngeal precursor lesions for the detection of chromosome instability (CI). Copy Number Variations (CNV) for chromosomes 1 and 7 reflect the general ploidy status of premalignant head and neck lesions and can therefore be used as a marker for CI. Methods: We performed dual-target FISH for chromosomes 1 and 7 centromeres on 4 µm formalin-fixed, paraffin-embedded tissue sections of 87 laryngeal premalignancies to detect CNVs. Thirty-five normal head and neck squamous cell samples were used as a control. First, the chromosome 7:1 ratio (CR) was evaluated per lesion. The normal range of CRs (≥0.84 ≤ 1.16) was based on the mean CR +/− 3 x SD found in the normal population. Second, the percentage of aberrant nuclei, harboring > 2 chromosomes of chromosome 1 and/or 7 (PAN), was established (cut-off value for abnormal PAN ≥ 10%). Results: PAN showed a stronger correlation with malignant progression than CR (resp. OR 5.6, p = 0.001 and OR 3.8, p = 0.009). PAN combined with histopathology resulted in a prognostic model with an area under the ROC curve (AUC) of 0.75 (s.e. 0.061, sensitivity 71%, specificity 70%). Conclusions: evaluation criteria for FISH 1c/7c based on PAN ≥ 10% provide the best prognostic information on the risk of malignant progression of premalignant laryngeal lesions as compared with criteria based on the CR. FISH 1c/7c detection can be applied in combination with histopathological assessment.

Details

Language :
English
ISSN :
2072-6694
Volume :
14
Issue :
13
Database :
MEDLINE
Journal :
Cancers
Publication Type :
Academic Journal
Accession number :
35805032
Full Text :
https://doi.org/10.3390/cancers14133260