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Released in a report in Nature Genetics, the map has doubled the number of genetic traits linked the disease from around 100 to 202, lead author Binyamin A. Knisbacher, PhD, a postdoctoral fellow at the Broad Institute of MIT and Harvard Medical Schoo, Boston, said in an interview.
“It also delineated the molecular landscape of the two immunoglobulin gene (IGHV) subtypes, refined CLL subtyping, and built richer genetic prognostic models,” he said.
According to Dr. Knisbacher, CLL “has been at the forefront of genomic discovery,” and research has shown that there’s a wide variety of somatic mutations that drive CLL initiation across the patient population. However, as many as 10% of cases don’t appear to be driven by any known genetic variation, he said, and there’s a need to identify more subtypes and “build richer prognostic models of patient survival” based on genetics and multiomics such as genomics, transcriptomics, and epigenomics.
For the new study, researchers analyzed RNA and DNA from 1,095 patients with CLL and 54 patients with monoclonal B cell lymphocytosis and built what they say is the largest CLL dataset in existence. It’s twice the size of previous datasets, Dr. Knisbacher said.
“We found that RNA expression data was extremely informative for characterizing CLL,” Dr. Knisbacher said. “The RNA expression subtypes refined the ‘classic’ two IGHV subtypes. It is well documented that patients with U-CLL (IGHV-unmutated CLL) have substantially worse clinical outcome in comparison to M-CLL patients (IGHV-mutated CLLs). We found that M-CLLs that have RNA expression profiles similar to U-CLLs have worse survival than M-CLLs with a typical expression profile. Failure-free survival was 50% shorter – 5.3 versus 10.7 years median failure-free survival.”
In addition, he said, “U-CLLs with expression similar to M-CLLs had better survival than U-CLLs with an RNA expression profile typical to U-CLLs.”
The researchers have made their molecular map publicly available at https://cllmap.org/. Researchers can use it “to discover more about each subtype of CLL, and these future studies can help to improve clinical prognosis for the benefit of the patient,” Dr. Knisbacher said.
The study authors added that “this molecular foundation may allow for better prediction of response to therapy or provide the basis for rational combination of novel agents.”
Lee Greenberger, PhD, chief science officer of the Leukemia & Lymphoma Society, said in an interview that the study “provides foundational data further subtyping CLL patients and outcomes. It identifies new targets for therapy or diagnostic predictions in the future. This type of foundational work has proven invaluable in the development of new medicines for cancer in general.”
While there are many medications that have improved therapeutic outcomes in CLL, he added, “cures – or life-long disease control –remain elusive for many patients. Therefore, new molecular insights are needed that could personalize therapies or even lead to entirely new therapies.”
In addition, he said, although prevention of CLL still remains elusive, “it is conceivable that some of the mutations found in this paper occur early in the CLL trajectory, perhaps even before the disease is presented clinically.”
The study was funded by the National Institutes of Health and the Broad/IBM Cancer Resistance Research Project. Dr. Knisbacher and several other authors disclose that they are inventors on a patent related to CLL. Several authors report various relationships with industry. Dr. Greenberger has no disclosures.
Released in a report in Nature Genetics, the map has doubled the number of genetic traits linked the disease from around 100 to 202, lead author Binyamin A. Knisbacher, PhD, a postdoctoral fellow at the Broad Institute of MIT and Harvard Medical Schoo, Boston, said in an interview.
“It also delineated the molecular landscape of the two immunoglobulin gene (IGHV) subtypes, refined CLL subtyping, and built richer genetic prognostic models,” he said.
According to Dr. Knisbacher, CLL “has been at the forefront of genomic discovery,” and research has shown that there’s a wide variety of somatic mutations that drive CLL initiation across the patient population. However, as many as 10% of cases don’t appear to be driven by any known genetic variation, he said, and there’s a need to identify more subtypes and “build richer prognostic models of patient survival” based on genetics and multiomics such as genomics, transcriptomics, and epigenomics.
For the new study, researchers analyzed RNA and DNA from 1,095 patients with CLL and 54 patients with monoclonal B cell lymphocytosis and built what they say is the largest CLL dataset in existence. It’s twice the size of previous datasets, Dr. Knisbacher said.
“We found that RNA expression data was extremely informative for characterizing CLL,” Dr. Knisbacher said. “The RNA expression subtypes refined the ‘classic’ two IGHV subtypes. It is well documented that patients with U-CLL (IGHV-unmutated CLL) have substantially worse clinical outcome in comparison to M-CLL patients (IGHV-mutated CLLs). We found that M-CLLs that have RNA expression profiles similar to U-CLLs have worse survival than M-CLLs with a typical expression profile. Failure-free survival was 50% shorter – 5.3 versus 10.7 years median failure-free survival.”
In addition, he said, “U-CLLs with expression similar to M-CLLs had better survival than U-CLLs with an RNA expression profile typical to U-CLLs.”
The researchers have made their molecular map publicly available at https://cllmap.org/. Researchers can use it “to discover more about each subtype of CLL, and these future studies can help to improve clinical prognosis for the benefit of the patient,” Dr. Knisbacher said.
The study authors added that “this molecular foundation may allow for better prediction of response to therapy or provide the basis for rational combination of novel agents.”
Lee Greenberger, PhD, chief science officer of the Leukemia & Lymphoma Society, said in an interview that the study “provides foundational data further subtyping CLL patients and outcomes. It identifies new targets for therapy or diagnostic predictions in the future. This type of foundational work has proven invaluable in the development of new medicines for cancer in general.”
While there are many medications that have improved therapeutic outcomes in CLL, he added, “cures – or life-long disease control –remain elusive for many patients. Therefore, new molecular insights are needed that could personalize therapies or even lead to entirely new therapies.”
In addition, he said, although prevention of CLL still remains elusive, “it is conceivable that some of the mutations found in this paper occur early in the CLL trajectory, perhaps even before the disease is presented clinically.”
The study was funded by the National Institutes of Health and the Broad/IBM Cancer Resistance Research Project. Dr. Knisbacher and several other authors disclose that they are inventors on a patent related to CLL. Several authors report various relationships with industry. Dr. Greenberger has no disclosures.
Released in a report in Nature Genetics, the map has doubled the number of genetic traits linked the disease from around 100 to 202, lead author Binyamin A. Knisbacher, PhD, a postdoctoral fellow at the Broad Institute of MIT and Harvard Medical Schoo, Boston, said in an interview.
“It also delineated the molecular landscape of the two immunoglobulin gene (IGHV) subtypes, refined CLL subtyping, and built richer genetic prognostic models,” he said.
According to Dr. Knisbacher, CLL “has been at the forefront of genomic discovery,” and research has shown that there’s a wide variety of somatic mutations that drive CLL initiation across the patient population. However, as many as 10% of cases don’t appear to be driven by any known genetic variation, he said, and there’s a need to identify more subtypes and “build richer prognostic models of patient survival” based on genetics and multiomics such as genomics, transcriptomics, and epigenomics.
For the new study, researchers analyzed RNA and DNA from 1,095 patients with CLL and 54 patients with monoclonal B cell lymphocytosis and built what they say is the largest CLL dataset in existence. It’s twice the size of previous datasets, Dr. Knisbacher said.
“We found that RNA expression data was extremely informative for characterizing CLL,” Dr. Knisbacher said. “The RNA expression subtypes refined the ‘classic’ two IGHV subtypes. It is well documented that patients with U-CLL (IGHV-unmutated CLL) have substantially worse clinical outcome in comparison to M-CLL patients (IGHV-mutated CLLs). We found that M-CLLs that have RNA expression profiles similar to U-CLLs have worse survival than M-CLLs with a typical expression profile. Failure-free survival was 50% shorter – 5.3 versus 10.7 years median failure-free survival.”
In addition, he said, “U-CLLs with expression similar to M-CLLs had better survival than U-CLLs with an RNA expression profile typical to U-CLLs.”
The researchers have made their molecular map publicly available at https://cllmap.org/. Researchers can use it “to discover more about each subtype of CLL, and these future studies can help to improve clinical prognosis for the benefit of the patient,” Dr. Knisbacher said.
The study authors added that “this molecular foundation may allow for better prediction of response to therapy or provide the basis for rational combination of novel agents.”
Lee Greenberger, PhD, chief science officer of the Leukemia & Lymphoma Society, said in an interview that the study “provides foundational data further subtyping CLL patients and outcomes. It identifies new targets for therapy or diagnostic predictions in the future. This type of foundational work has proven invaluable in the development of new medicines for cancer in general.”
While there are many medications that have improved therapeutic outcomes in CLL, he added, “cures – or life-long disease control –remain elusive for many patients. Therefore, new molecular insights are needed that could personalize therapies or even lead to entirely new therapies.”
In addition, he said, although prevention of CLL still remains elusive, “it is conceivable that some of the mutations found in this paper occur early in the CLL trajectory, perhaps even before the disease is presented clinically.”
The study was funded by the National Institutes of Health and the Broad/IBM Cancer Resistance Research Project. Dr. Knisbacher and several other authors disclose that they are inventors on a patent related to CLL. Several authors report various relationships with industry. Dr. Greenberger has no disclosures.
FROM NATURE GENETICS