Genomic and proteomic characterization of Philadelphia-like B-lineage acute lymphoblastic leukemia: A report of Indian patients.

B-acute lymphoblastic leukemia (B-ALL), chimeric gene fusion (CGF) fluorescence in situ hybridization (FISH) gene expression profiling (GEP) leukemia-associated immunophenotyping (LAIP) liquid chromatography-tandem mass spectrometry (LC-MS/MS) multiplex reverse transcriptase-polymerase chain reaction (RT-PCR)

Journal

Cancer
ISSN: 1097-0142
Titre abrégé: Cancer
Pays: United States
ID NLM: 0374236

Informations de publication

Date de publication:
15 04 2023
Historique:
revised: 19 12 2022
received: 05 08 2022
accepted: 21 12 2022
pubmed: 5 2 2023
medline: 25 3 2023
entrez: 4 2 2023
Statut: ppublish

Résumé

The gold standard for the identification of Philadelphia (Ph)-like acute lymphoblastic leukemia (ALL) patients is gene expression profiling. Because of its diverse nature, its identification is extremely difficult and expensive. On the genomic and proteomic landscape of Ph-like ALL patients, there is a paucity of published literature from developing countries. The authors used digital barcoded nCounter NanoString gene expression profiling for its detection, followed by molecular and proteomic characterization using fluorescence in situ hybridization and liquid chromatography-tandem mass spectrometry (LC-MS/MS). The authors found 32.05% Ph-like ALL patients and their median age at presentation was considerably higher than Ph-negative ALL cases (p = .0306). Furthermore, we identified 20% CRLF2 overexpressed cases having 8.33% CRLF2-IGH translocation with concomitant R683S mutation and 8.33% CRLF2-P2RY8 translocation. In 80% of CRLF2 downregulated cases, we identified 10% as having JAK2 rearrangement. Minimal residual disease-positivity was more common in Ph-like ALL cases (55.55% vs. 25% in Ph-negative ALL cases). Immunoglobulin J chain (Jchain), small nuclear ribonucleoprotein SmD1 (SNRPD1), immunoglobulin κ constant (IGKC), NADH dehydrogenase (ubiquinone) 1 α subcomplex subunit 2 (NDUFA2), histone H2AX (H2AFX), charged multivesicular body protein 4b (CHMP4B), and carbonyl reductase (NADPH) (CBR1) proteins were identified to be substantially expressed in Ph-like ALL patients, using LC-MS/MS. Gene enrichment analysis indicated that involvement of spliceosomal mediated messenger RNA splicing pathway and four microRNAs was statistically significant in Ph-like ALL patients. For the first time, we have described incidence, molecular, and proteomic characterization of Ph-like ALL, in developing nations. In developing countries, detecting Philadelphia (Ph)-like B-lineage acute lymphoblastic leukemia is complicated and challenging due to its diverse genetic landscape. There is no well-defined and cost-effective methodology for its detection. The incidence of this high-risk subtype is very high in adult cases, and there is an urgent need for its accurate detection. We have developed an online PHi-RACE classifier for its rapid detection, followed by delineating the genomic and proteomic landscape of Ph-like acute lymphoblastic leukemias for the first time in Indian patients.

Sections du résumé

BACKGROUND
The gold standard for the identification of Philadelphia (Ph)-like acute lymphoblastic leukemia (ALL) patients is gene expression profiling. Because of its diverse nature, its identification is extremely difficult and expensive. On the genomic and proteomic landscape of Ph-like ALL patients, there is a paucity of published literature from developing countries.
METHODS
The authors used digital barcoded nCounter NanoString gene expression profiling for its detection, followed by molecular and proteomic characterization using fluorescence in situ hybridization and liquid chromatography-tandem mass spectrometry (LC-MS/MS).
RESULTS
The authors found 32.05% Ph-like ALL patients and their median age at presentation was considerably higher than Ph-negative ALL cases (p = .0306). Furthermore, we identified 20% CRLF2 overexpressed cases having 8.33% CRLF2-IGH translocation with concomitant R683S mutation and 8.33% CRLF2-P2RY8 translocation. In 80% of CRLF2 downregulated cases, we identified 10% as having JAK2 rearrangement. Minimal residual disease-positivity was more common in Ph-like ALL cases (55.55% vs. 25% in Ph-negative ALL cases). Immunoglobulin J chain (Jchain), small nuclear ribonucleoprotein SmD1 (SNRPD1), immunoglobulin κ constant (IGKC), NADH dehydrogenase (ubiquinone) 1 α subcomplex subunit 2 (NDUFA2), histone H2AX (H2AFX), charged multivesicular body protein 4b (CHMP4B), and carbonyl reductase (NADPH) (CBR1) proteins were identified to be substantially expressed in Ph-like ALL patients, using LC-MS/MS. Gene enrichment analysis indicated that involvement of spliceosomal mediated messenger RNA splicing pathway and four microRNAs was statistically significant in Ph-like ALL patients.
CONCLUSIONS
For the first time, we have described incidence, molecular, and proteomic characterization of Ph-like ALL, in developing nations.
PLAIN LANGUAGE SUMMARY
In developing countries, detecting Philadelphia (Ph)-like B-lineage acute lymphoblastic leukemia is complicated and challenging due to its diverse genetic landscape. There is no well-defined and cost-effective methodology for its detection. The incidence of this high-risk subtype is very high in adult cases, and there is an urgent need for its accurate detection. We have developed an online PHi-RACE classifier for its rapid detection, followed by delineating the genomic and proteomic landscape of Ph-like acute lymphoblastic leukemias for the first time in Indian patients.

Identifiants

pubmed: 36738086
doi: 10.1002/cncr.34665
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

1217-1226

Informations de copyright

© 2023 American Cancer Society.

Références

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Auteurs

Dikshat Gopal Gupta (DG)

Department of Pediatrics, Ann and Robert H. Lurie Children's Hospital of Chicago, Chicago, Illinois, USA.

Neelam Varma (N)

Department of Hematology, Post Graduate Institute of Medical Education and Research, Chandigarh, India.

Ashish Kumar (A)

International Centre for Genetic Engineering and Biotechnology, New Delhi, India.

Shano Naseem (S)

Department of Hematology, Post Graduate Institute of Medical Education and Research, Chandigarh, India.

Man Updesh Singh Sachdeva (MUS)

Department of Hematology, Post Graduate Institute of Medical Education and Research, Chandigarh, India.

Sreejesh Sreedharanunni (S)

Department of Hematology, Post Graduate Institute of Medical Education and Research, Chandigarh, India.

Jogeshwar Binota (J)

Department of Pediatrics, Ann and Robert H. Lurie Children's Hospital of Chicago, Chicago, Illinois, USA.

Parveen Bose (P)

Department of Pediatrics, Ann and Robert H. Lurie Children's Hospital of Chicago, Chicago, Illinois, USA.

Alka Khadwal (A)

Department of Internal Medicine, Post Graduate Institute of Medical Education and Research, Chandigarh, India.

Pankaj Malhotra (P)

Department of Clinical Hematology and Medical Oncology, Post Graduate Institute of Medical Education and Research, Chandigarh, India.

Subhash Varma (S)

Department of Internal Medicine, Post Graduate Institute of Medical Education and Research, Chandigarh, India.

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