Cytogenetic profile of uterine sarcomas

Background The complete cytogenetic and immunophenotyping data in children suffering from acute lymphoblastic leukemia (ALL) in Jammu and Kashmir is scarce. To bridge this knowledge gap the present study proposes to evaluate the immunophenotype and cytogenetic profile of pediatric ALL patients treated in our hospital. Material and methods This hospital-based observational study was conducted on 180 pediatric patients aged between 1 to 18 years who had visited the Paediatric unit of the Department of Medical Oncology at Sher-I -Kashmir Institute of Medical Science, Srinagar ,Jammu and Kashmir between the January 2015 to December 2019. Result Among the study participants, 57.8% were male and 42.2% were female with a mean age of 9.24 years and median of 8 Years. Among the participants, 57.2% were below 10 years of age and 42.8% were above 10years of age. CNS disease was reported in 7.8% of the study participants. 63.3% patients had a TLC count of less than 20000. Immunophenotyping data revealed pre-B ALL in 77.8% of children. Cytogenetic study was conducted on 153 patients among them 74.4% had a normal karyotype, 7.2% s had hyperdiploidy and 3.3% had hypodiploidy. The FISH analysis showed that 23.3% of study participants were positive for the TEL-AML study, 11.1% were positive for BCR-ABL analysis and 4.4% of participants were positive for MLL gene analysis. The overall survival in the study population was 78.9% among the study participants. Only the MLL gene rearrangement analysis showed a statistically significant correlation with the survival analysis (P<0.5). Conclusion In summary, the present study reported the complete cytogenetic and immunophenotyping profile of the children suffering from acute lymphoblastic leukemia in Jammu and Kashmir.

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Clinical, malformative and cytogenetic profile of mosaicturnersyndrome at Mohammed VI University Hospital Centre Oujda

Endocrine Abstracts ◽

10.1530/endoabs.63.ep135 ◽

2019 ◽

Author(s):

Mawa Ongoth Farel Elilie ◽

Ikram Mahroug ◽

Mariam Tajir ◽

Hanane Latrech

Keyword(s):

University Hospital ◽

Cytogenetic Profile

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Validation of a mitotic index cutoff as a prognostic marker in undifferentiated uterine sarcomas

10.26226/morressier.596dfd56d462b802923878d5 ◽

2017 ◽

Author(s):

Deleted Account

Keyword(s):

Mitotic Index ◽

Prognostic Marker ◽

Uterine Sarcomas

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Prediction of oligodendroglial tumor subtype and grade using perfusion weighted magnetic resonance imaging

Journal of Neurosurgery ◽

10.3171/jns-07/09/0600 ◽

2007 ◽

Vol 107 (3) ◽

pp. 600-609 ◽

Cited By ~ 50

Author(s):

Robert G. Whitmore ◽

Jaroslaw Krejza ◽

Gurpreet S. Kapoor ◽

Jason Huse ◽

John H. Woo ◽

...

Keyword(s):

Magnetic Resonance ◽

Mr Imaging ◽

Blood Volume ◽

Tumor Grade ◽

Grade Ii ◽

Cytogenetic Profile ◽

Group 2 ◽

Oligodendroglial Neoplasms ◽

Grade Iii ◽

Group 1

Object Treatment of patients with oligodendrogliomas relies on histopathological grade and characteristic cytogenetic deletions of 1p and 19q, shown to predict radio- and chemosensitivity and prolonged survival. Perfusion weighted magnetic resonance (MR) imaging allows for noninvasive determination of relative tumor blood volume (rTBV) and has been used to predict the grade of astrocytic neoplasms. The aim of this study was to use perfusion weighted MR imaging to predict tumor grade and cytogenetic profile in oligodendroglial neoplasms. Methods Thirty patients with oligodendroglial neoplasms who underwent preoperative perfusion MR imaging were retrospectively identified. Tumors were classified by histopathological grade and stratified into two cytogenetic groups: 1p or 1p and 19q loss of heterozygosity (LOH) (Group 1), and 19q LOH only on intact alleles (Group 2). Tumor blood volume was calculated in relation to contralateral white matter. Multivariate logistic regression analysis was used to develop predictive models of cytogenetic profile and tumor grade. Results In World Health Organization Grade II neoplasms, the rTBV was significantly greater (p < 0.05) in Group 1 (mean 2.44, range 0.96–3.28; seven patients) compared with Group 2 (mean 1.69, range 1.27–2.08; seven patients). In Grade III neoplasms, the differences between Group 1 (mean 3.38, range 1.59–6.26; four patients) and Group 2 (mean 2.83, range 1.81–3.76; 12 patients) were not significant. The rTBV was significantly greater (p < 0.05) in Grade III neoplasms (mean 2.97, range 1.59–6.26; 16 patients) compared with Grade II neoplasms (mean 2.07, range 0.96–3.28; 14 patients). The models integrating rTBV with cytogenetic profile and grade showed prediction accuracies of 68 and 73%, respectively. Conclusions Oligodendroglial classification models derived from advanced imaging will improve the accuracy of tumor grading, provide prognostic information, and have potential to influence treatment decisions.

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