MétaCan
Menu
Back to cohort
Record W4231437880 · doi:10.4161/cbt.5.9.3335

CALM-AF10 Fusion Gives Clues to Disregulated HoxA5 and Leukemia Development

2006· article· en· W4231437880 on OpenAlexaboutno aff

Bibliographic record

VenueCancer Biology & Therapy · 2006
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRNA modifications and cancer
Canadian institutionsnot available
Fundersnot available
KeywordsChromosomal translocationLeukemiaBiologyMyeloid leukemiaCancerGeneAcute leukemiaCancer researchFusion geneGenetics

Abstract

fetched live from OpenAlex

New research from the University of North Carolina at Chapel Hill has identified a molecular process in cells that is crucial to the development of two common leukemias.The findings help explain how fundamental cell processes go awry during cancer development and represent a first step toward new, targeted treatments for leukemia.Acute lymphoblastic leukemia (ALL) and acute myeloid leukemia (AML) leukemias develop when certain chromosomal abnormalities disrupt the genes that control blood cell formation. Without the properinstructions from these genes, blood cells produced by bone marrow never fully mature; these immature cells, which can't carry vital nutrients or fight infection, then flood the body.The researchers showed how a fusion of proteins created by flawed chromosomes can trigger leukemia development. The study also identified an enzyme's important role in this process.The results were published online August 20, 2006 in the journal Nature Cell Biology.The research was led by Dr. Yi Zhang, professor of biochemistry and biophysics in the UNC School of Medicine and a Howard Hughes Medical Institute Investigator. Zhang is also a member of the UNC Lineberger Comprehensive Cancer Center. The work was supported by grants from the National Institutes of Health.The study examined chromosomal translocation, in which a fragment of a chromosome breaks off and joins another. Chromosomes are the cellular structures that carry DNA. Translocation along chromosomes can result in the generation of fusion proteins that often "misregulate" specific genes, including genes that can causeleukemia, and is a common cause of leukemia, Zhang said.The most common chromosome translocations found in leukemia patients involve the mixed lineage leukemia gene, MLL. One of the fusion proteins that partners with MLL in leukemia is AF10.AF10 has been shown to fuse with another protein, CALM, in patients with acute lymphoblastic leukemia or acute myeloid leukemia. But it has been unclear whether that fusion could cause leukemia, and little is known about how this CALM-AF10 fusion may lead to the disease, Zhang said. "Results from this study provide important insights into these questions," he said.Zhang and his colleagues showed that the CALM-AF10 fusion is "necessary and sufficient" for cellular transformation to leukemia in a mouse model of the disease. They also discovered that the fusion overactivates (also called upregulation) the gene HoxA5. Moreover, upregulation of the HoxA5 gene is necessary for cellulartransformation to leukemia, the study shows.Overactive Hox genes are known to play a role in cancer, Zhang said. "In mammals, Hox genes play an important role in embryonic development. They help set the developmental pattern. They also play a role in cancer. That's why their expression must be tightly controlled."The researchers also identified an enzyme, hDOT1L, as important for upregulating gene expression by the CALM-AF10 fusion protein. This finding builds on earlier work by the Zhang laboratory involving another fusion protein, MLL-AF10, and the enzyme's upregulation of the Hox gene HoxA9.Having demonstrated the role of hDOT1L in leukemia development of two different fusion proteins, the Zhang lab is exploring the possibility of developing drugs that target the hDOT1L enzyme. "Understanding themolecular mechanism underlying leukemia development will certainly help in this endeavor, Zhang said.UNC co-authors include postdoctoral researchers Drs. Yuki Okada and Qi Jiang, and Lineberger Cancer Center researcher Lishan Su. Other authors are Dr. Margot Lemieux and Dr. Lucie Jeanotte from the Centerfor Research at Hotel-Dieu Medical Center of Quebec, in Montreal.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.583
Threshold uncertainty score0.503

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.012
GPT teacher head0.277
Teacher spread0.265 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2006
Admission routes1
Has abstractyes

Explore more

Same venueCancer Biology & TherapySame topicRNA modifications and cancerFrench-language works237,207