Editorial: New emerging functions of transcription factors and RNA-binding proteins in the development of hematological malignancies
Bibliographic record
Abstract
Editorial on the Research Topic New emerging functions of transcription factors and RNA-binding proteins in the development of hematological malignancies Hematological malignancies such as acute or chronic leukemias and lymphomas belong to a group of cancers that affect the blood, bone marrow and peripheral lymphoid organs and continue to present significant challenges for diagnosis and treatment primarily because of their diversity and heterogeneity.Recent research has shed light on the roles of transcription factors (TFs) and RNA-binding proteins (RBPs), that both are intimately linked to the development and progression of hematological malignancies because they control the generation, stability and translation of mRNA.This editorial aims to summarize the findings and conclusions from a set of six articles available in the Frontiers Research Topic "New Emerging Functions of Transcription Factors and RNA-Binding Proteins in the Development of Hematological Malignancies" on Frontiers in Oncology.The functionality and longevity of hematopoietic tissue from which leukemia and lymphoma can emerge is ensured by a tightly controlled balance between self-renewal, quiescence, and differentiation of hematopoietic stem cells (HSCs) into the many different blood lineages.Benyoucef et al. describe how Transcription Factors (TFs) regulate this by translating signals from extrinsic factors into specific gene expression programs.Any aberration or mutation that alters the function of TFs will affect HSCs and their ability to self-renew or differentiate and thus bear the risks to trigger transformation processes that lead to a malignancy.When TFs are mutated or activated in hematological malignancies, they are responsible for specific gene expression patterns that are different from those found in normal cells.These aberrations can be measured and, in many cases, initiate a leukemia or lymphoma or drive their progression.However, they are not only characteristic for certain types of leukemia, but they provide a typical, recurring signature, that can be used for diagnosis or to make a prognostic estimate.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.010 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.007 | 0.010 |
| Insufficient payload (model declined to judge) | 0.027 | 0.016 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".