Redefining treatment-free remission criteria in chronic myeloid leukemia in India

Chronic myeloid leukemia (CML) is the most common hematological malignancy in India and its treatment has been revolutionized by BCR-ABL tyrosine kinase inhibitors. Even though it is considered non-curable, with long-term treatment, a selected set of patients may be eligible for stoppage of treatment and continued observation (treatment-free remission [TFR]) according to the current guidelines. All these guidelines are from other countries and at present, Indian oncologists and patients have to follow these guidelines to implement TFR protocols. The commonly used international guidelines also have differences in the methods of implementation of TFR in CML. There are very few articles from India with data on TFR in CML and we need to gather more data if we are to formulate our own criteria and guidelines. Indian patients have a unique set of problems with the disease biology and its treatment. The potential issues with implementing TFR among Indian patients have to be identified and solved successfully and these have to be taken into account before creating such criteria for India. The review aims to summarize the current criteria in place for TFR in CML, to discuss the issues in implementing the criteria directly in India, to define the needs of India CML patients, and to recommend the considerations to be taken into account while redefining such a criteria for Indian patients.

Authors

Publication Details

Journal
International Journal of Molecular and Immuno Oncology
Published
2025-04-30
DOI
https://doi.org/10.25259/ijmio_10_2024
Primary Topic
Chronic Myeloid Leukemia Treatments
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Redefining treatment-free remission criteria in chronic myeloid leukemia in India

Mintu Mathew Abraham
International Journal of Molecular and Immuno Oncology
Chronic Myeloid Leukemia Treatments
article

Redefining treatment-free remission criteria in chronic myeloid leukemia in India

Mintu Mathew Abraham
article en

Abstract

Chronic myeloid leukemia (CML) is the most common hematological malignancy in India and its treatment has been revolutionized by BCR-ABL tyrosine kinase inhibitors. Even though it is considered non-curable, with long-term treatment, a selected set of patients may be eligible for stoppage of treatment and continued observation (treatment-free remission [TFR]) according to the current guidelines. All these guidelines are from other countries and at present, Indian oncologists and patients have to follow these guidelines to implement TFR protocols. The commonly used international guidelines also have differences in the methods of implementation of TFR in CML. There are very few articles from India with data on TFR in CML and we need to gather more data if we are to formulate our own criteria and guidelines. Indian patients have a unique set of problems with the disease biology and its treatment. The potential issues with implementing TFR among Indian patients have to be identified and solved successfully and these have to be taken into account before creating such criteria for India. The review aims to summarize the current criteria in place for TFR in CML, to discuss the issues in implementing the criteria directly in India, to define the needs of India CML patients, and to recommend the considerations to be taken into account while redefining such a criteria for Indian patients.

International Journal of Molecular and Immuno OncologyVol. 10
Openalex Percentile: Top 88%
Chronic Myeloid Leukemia Treatments
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.