Age-related clonal hematopoiesis: implications for hematopoietic stem cell transplantation
Bibliographic record
Abstract
PURPOSE OF REVIEW: Over the past decade, advances in hematopoietic stem cell transplantation (HSCT) have enabled older individuals to undergo the procedure as well as to serve as donors. Recently, aging has been linked with the development of age-related clonal hematopoiesis (ARCH), defined as the gradual clonal expansion of hematopoietic stem and progenitor cells (HSPC) carrying recurrent disruptive genetic variants in individuals without a diagnosis of hematologic malignancy. Here we will review the implications of ARCH in the context of HSCT. RECENT FINDINGS: ARCH is highly prevalent in the general population and commonly involves genes that are recurrently mutated in hematologic malignancies. Nevertheless, the vast majority of individuals with ARCH will not develop overt hematologic disease in their lifetime. The presence of ARCH may increase the risk of therapy-related myeloid neoplasms (t-MN) in individuals undergoing autologous HSCT. In the setting of allogeneic HSCT, ARCH present in the donor may contribute to adverse outcomes such as unexplained cytopenias posttransplant and donor cell leukemia. SUMMARY: A better understanding of the hematopoietic milieu of HSCT recipients and of the importance of ARCH in the context of the replicative pressures imposed on transplanted HSPCs is needed in order to optimize conditioning regimens, donor selection and clinical outcomes post-HSCT.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
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 teacher head, 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".