Myelodysplastic Syndromes: A More Global 5-Hydroxymethylcytosine Deficiency Disorder Than Suggested By the Presence of TET2 Mutations
Bibliographic record
Abstract
Abstract The high frequency of TET2 mutations in myelodysplastic syndromes (MDS) and the sole function of TET-dioxygenases as 5-hydroxymethylcytosine (5-hmC) hydroxylases emphasize the key role of this gene in disease pathogenesis. However, the broad down-regulation of 5-hmC argues for a role of DNA demethylation in MDS beyond TET2 lesions, which albeit the high frequency, do not convey any impact on survival outcomes. In fact, decrease in 5-hmC levels is by far more widely spread than TET2 lesions pointing towards other pathways affecting TET2 activity, thereby obscuring a precise determination of its mutational and clinical consequences. Herein, we investigated TETs expression to identify factors explaining the widespread deficiency of 5-hmC in MDS possibly determining clinical phenotypes and prognosis. An integrative data analysis of genomic studies (whole genome and deep targeted NGS), RNA-sequencing and 5-hmC quantification was performed on 1,665 patients with MDS and 91 healthy controls (HC). Meta-analytic studies of 5-hmC levels in myeloid neoplasia (n=598) and data of RNA-sequencing of fractionated CD34 (GSE63569) were also included as confirmatory cohorts. We started by analyzing the clinical impact of TET2 mutations carried by 23% of our study population. No impact on survival was found in carriers of TET2 lesions including those with biallelic, truncating or missense mutations compared to wild-type (WT) (Fig1A). By using 5-hmC levels as a functional readout of TET activity, we found a TET deficiency in about 70% of patients, a proportion higher than one would conclude by considering the mere presence of TET2 mutations (Fig1B). To explain the decrease in 5-hmC levels in WT cases, we next examined transcriptome modifications. Analysis of the expression of TET family of genes showed that MDS patients had lower TET2 mRNA levels in total and in CD34+ cells as compared to HC, irrespective of their TET2 status. Therefore, we reasoned that TET2 deficiency is more ubiquitously involved in MDS pathogenesis than what would be expected by the only estimation of mutant cases. Indeed, "low expressor" status (defined by TET2 expression < 25%ile of HC) was found in 74% of MDS. Along with variable 5-hmC levels, concomitant differences in TET1/TET3 expression were also investigated. While TET1 levels were too low to be evaluated, TET3 expression levels were markedly higher in all and in WT MDS compared to HC, possibly in an attempt to compensate TET2 dysfunction (Fig1C). In addition, TET3 expression did not correlate with TET2 mutational burden, confuting a compensatory feedback mechanism in TET2 mutant cases. Further uni- and multivariate analyses showed that elevated TET3 levels compensated TET2 deficiency in terms of clinical outcomes (Fig1D) and linear regression analyses confirmed that indeed lack of compensation by TET3 (low TET3 expression) was associated with high risk features. To explore whether other factors might be associated with low TET2 levels, we studied TET2 expression in WT cases as to the presence of other mutations. We found that TET2 expression was significantly lower in patients harboring DNMT3A (P< 0.0001), SF3B1 (P< 0.0001) and SRSF2 (P= 0.04) compared to HC. However, lack of correlation between levels of TET2 and mutational burden failed to prove a direct relationship of these mutations (Fig1E). Decreased hydroxylation of 5-mC may also be caused by endogenous L-2-hydroxyglutarate (L2HG) produced via malate shunt. Accordingly, L2HG dehydrogenase (L2HGDH) levels catabolizing L2HG and malate dehydrogenases (MDH1/2) supplying L2HG, would influence TET2 activity in a reciprocal fashion. Consistently we found that MDH1/2 levels were increased in MDS and that L2HGDH showed also a likely compensatory increase to handle elevated L2HG loads. Further, linear regression analyses revealed that L2HGDH levels were correlated inversely with TET2 and positively with TET3 expression in WT cases (Fig1F). In sum, MDS can be considered a wide-ranging 5-hmC deficiency disorder driven by direct or indirect loss of TET2functions by mutations or down-modulation due to a variety of mechanisms. Disease phenotypes and outcomes are both influenced by counteracting factors such as expression of TET3. Application of precision therapeutic approaches should be informed by the analyses of all these factors. Figure 1 Figure 1. Disclosures Carraway: Astex: Other: Independent review committee; Novartis: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Stemline: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Agios: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; AbbVie: Other: Independent review committee; Jazz: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Takeda: Other: Independent review committee; Celgene, a Bristol Myers Squibb company: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Bristol Myers Squibb: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau. Kim: Paladin: Consultancy, Honoraria, Research Funding; Bristol-Meier Squibb: Research Funding; Pfizer: Honoraria; Novartis: Consultancy, Honoraria, Research Funding. Minden: Astellas: Consultancy. Haferlach: MLL Munich Leukemia Laboratory: Other: Part ownership. Maciejewski: Bristol Myers Squibb/Celgene: Consultancy; Novartis: Consultancy; Regeneron: Consultancy; Alexion: Consultancy.
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 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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".