Detection of genomic abnormalities among 105 patients with chronic lymphocytic leukemia using fluorescence in situ hybridization / 中华医学遗传学杂志
Chinese Journal of Medical Genetics
;
(6): 357-360, 2017.
Article
in Chinese
| WPRIM
| ID: wpr-335127
ABSTRACT
<p><b>OBJECTIVE</b>To assess the value of fluorescence in situ hybridization (FISH) for the detection of genomic abnormalities among patients with chronic lymphocytic leukemia (CLL).</p><p><b>METHODS</b>Interphase FISH was performed on bone marrow samples derived from 105 patients with CLL at the time of diagnosis using probes for D13S319/13q14, ATM/11q22, P53/17p13 and CEP12. The abnormalities and prognostic factors were analyzed. Overall survival of the patients was calculated.</p><p><b>RESULTS</b>The FISH assay has detected genomic abnormalities in 81 (77.1%) of the patients, among which D13S319/13q14 deletion was the most common (49/105, 46.67%). 24(22.86%) patients had trisomy 12, 21(20.00%) had ATM/11q deletion, and 12(11.43%) had P53/17p deletion. A significant correlation was found between Binet staging and the detected abnormalities (< 0.05). With a median follow-up time of 10 months, 11 patients (10.5%) had died. Compared with those with P53 deletion, patients with 13q deletion showed a better overall survival. However, the overall survival did not significantly differ between patients with various genomic abnormalities (> 0.05).</p><p><b>CONCLUSION</b>FISH is capable of detecting common genomic aberrations among patients with newly diagnosed CLL. Deletion of D13S319/13q14 is the most common aberration in such patients. Genomic aberrations are significantly correlated with Binet staging but not the overall survival of CLL patients.</p>
Full text:
Available
Index:
WPRIM (Western Pacific)
Main subject:
Leukemia, Lymphocytic, Chronic, B-Cell
/
Chromosome Aberrations
/
In Situ Hybridization, Fluorescence
/
Diagnosis
/
Genetics
/
Methods
Type of study:
Diagnostic study
/
Prognostic study
Limits:
Adult
/
Aged
/
Aged80
/
Female
/
Humans
/
Male
Language:
Chinese
Journal:
Chinese Journal of Medical Genetics
Year:
2017
Type:
Article
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