Literature DB >> 28195089

Immunogenetics of chronic lymphocytic leukemia.

Nikhil Patkar1, Nikhil Rabade1, Pratibha Amare Kadam2, Falguni Mishra1, Aditi Muranjan1, Prashant Tembhare1, Shruti Chaudhary1, Swapnali Joshi1, Hasmukh Jain3, Uma Dangi3, Bhausaheb Bagal3, Navin Khattry3, Hari Menon3, Sumeet Gujral1, Manju Sengar3, P G Subramanian1.   

Abstract

INTRODUCTION: Cytogenetic aberrations as well as presence of IGVH mutations are the underlying reason for clinical heterogeneity in Chronic Lymphocytic Leukemia (CLL). The presence of IGVH mutations as well as the predominant gene usage shows geographical variations. However, there is no study from India addressing immunogenetics of CLL. In a first Indian study we document the immunogenetics of CLL in a large tertiary hospital.
METHODS: We analyzed IGVH mutation status, VH gene usage, cytogenetic abnormalities using FISH, immunophenotyping data and correlated them with standard clinical variables in 84 patients of CLL.
RESULTS: Advanced Rai stage (Stage 3/4) was seen in 45% of our patients, where as 13q deletion was the commonest clonal cytogenetic abnormality detected in 48.4% of the cases. IGVH unmutated cases (55.2%) showed higher proportion expressing CD38 and CD49d, a preferential usage for VH1 and VH3 families (55.2%), presentation at an advanced Rai stage (52.8%) as well as more frequent presence of p53 deletions. As compared to the IGVH mutated cases greater proportion of IGVH unmutated patients (70%) required treatment. However, there was no significant difference in the time to treatment between mutated and unmutated cases which can be attributed to relatively short median follow up of 10 months.
CONCLUSION: To summarize, we have seen a higher proportion of IGVH unmutated patients in our cohort (55.2%). The commonly used VH genes in the Indian population are IGVH 2-5, IGVH 1-2 and IGVH 1-69. Longer clinical follow up and a larger cohort is necessary to confirm the prognostic value of IGVH mutation analysis in Indian Patients with CLL.

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Year:  2017        PMID: 28195089     DOI: 10.4103/0377-4929.200051

Source DB:  PubMed          Journal:  Indian J Pathol Microbiol        ISSN: 0377-4929            Impact factor:   0.740


  3 in total

1.  Genomic alterations in chronic lymphocytic leukemia and their correlation with clinico-hematological parameters and disease progression.

Authors:  Vishrut K Srinivasan; Shano Naseem; Neelam Varma; Deepesh P Lad; Pankaj Malhotra
Journal:  Blood Res       Date:  2020-09-30

Review 2.  Immunoglobulin gene analysis as a tool for investigating human immune responses.

Authors:  Deborah Dunn-Walters; Catherine Townsend; Emma Sinclair; Alex Stewart
Journal:  Immunol Rev       Date:  2018-07       Impact factor: 12.988

3.  Prognostic markers in Chronic Lymphocytic Leukaemia - A flow cytometric analysis.

Authors:  Hala Haq; Nasir Uddin; Saleem Ahmed Khan; Sunia Ghaffar
Journal:  Pak J Med Sci       Date:  2020 Mar-Apr       Impact factor: 1.088

  3 in total

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