Cancer-Specific Nuclear Positioning of Translocation Prone Gene Loci In Non-Malignant B-Cells From Patients with Multiple Myeloma
Notice bibliographique
Résumé
Abstract Abstract 783 Malignant plasma cells from patients with multiple myeloma (MM) display recurrent chromosome translocations involving the immunoglobulin heavy chain locus (IGH) and CCND1 [t(11;14)] or FGFR [t(4;14)]. It is poorly understood why recombination events between chromosomes recur at specific breakpoints in the human genome, but spatial proximity of translocation-prone gene loci (TPGL) is influential. Utilizing 3D fluorescent in situ hybridization and 3D analysis techniques, we have measured the spatial and radial positioning of translocation-prone and control loci in the nuclei of non-malignant cells to determine a propensity to translocate. Purified CD34+ progenitors and CD19+ B cells were analyzed; none had translocations. Utilizing these cell subsets (n=900 cells) from MM patients having recurrent IGH translocations in autologous plasma cells, and comparable subsets (n=300 cells) from healthy donors, we show that spatial genome organization contributes to the formation of recurrent translocations. We show that IGH, CCND1, and FGFR3 are preferentially positioned in close proximity relative to each other in presumptively normal CD34+ progenitors and CD19+ B-cells from these MM patients, and that the clinical frequency of IGH translocations correlates with relative positioning (p=0.002 for CD34+ cells; p=0.017 for CD19+ cells), and with radial positioning (p=0.05 for CD34+ cells; p=0.043 for CD19+ cells). We also show that non-malignant CD19+ B-cells from MM patients display cancer-specific radial positioning of TPGL in the nucleus (p≤0.008), suggesting a predisposition to translocate. In addition to preferred positions within the nucleus, genes also localize to favoured locations within their respective chromosome territory (CT). Genes have been shown to position outside of their respective chromosome territory. Although proximity of potential translocation partners is necessary for translocation events to occur, others have shown that translocation events between adjacent chromosomes take place at CT boundaries, or in the space of intermingling between adjacent CTs. Active transcription ‘factories' are also present within the area of intermingling. We observed that at least one of the two alleles of CCND1 and FGFR3, is positioned outside of its chromosome territory in 59% of CD19+ cells from MM patients, whereas a control locus TGFBR2, is positioned outside its chromosome territory in only 25% of the same cells. We find myeloma-specific positioning of TPGL in a subset of B-cells that lack translocations and are predominantly polyclonal, defining them as non-malignant. It seems likely that the original parent B-cell that gave rise to MM also harboured spatially proximal TPGL prior to the formation of physically translocated loci. Together, these observations support the likelihood that translocations occur only in specific sites within the nucleus. Recent reports indicate that ongoing transcription is necessary for functional activity of IGH recombination enzymes, and that these same enzymes have off-target effects on proximal genes. IGH and its translocation partners FGFR3 and CCND1 may come together briefly to a transcription ‘factory' outside of their respective CTs and be acted upon by IGH recombination enzymes. We speculate that cancer-specific positioning of active TPGL in B-cells from MM patients promotes the formation of clinically important IGH translocations, perhaps through co-localization of TPGL to nuclear transcription ‘factories' outside of CTs. The strong correlation between locus positioning and the clinical frequency of recurrent IGH translocations involving these loci is consistent with the idea that spatial proximity in the nucleus is an important contributor to the high frequency of recurrent translocations. CCND1 and FGFR3 are positioned outside their CT and in close proximity to IGH as compared to TGFBR2 and c-MAF, both of which are more peripheral in the nucleus and position out of their respective CTs at lower frequency. This is consistent with the fact that c-MAF/IGH translocations are relatively infrequent and TGFBR2/IGH translocations have not been reported. Our results suggest that the formation of recurrent IGH translocations in MM is determined not only by spatial proximity of gene loci and radial positioning in the cell nucleus, but also by positioning of loci outside of their chromosomal territories. Disclosures: No relevant conflicts of interest to declare.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».