3D Telomeric Fingerprint of Advanced Cutaneous T-Cell Lymphoma
Bibliographic record
Abstract
Introduction Cutaneous T-cell lymphomas (CTCLs) are characterized by dermal and epidermal infiltration of skin homing clonal CD4+ memory T-cells. Little is known about the oncogenic events driving either the progression of skin-limited disease such as Mycosis Fungoides (MF) to a leukemic form or Sézary Syndrome (SS), and there are no histologic means to predict evolution. Genetic instability is a hallmark of malignancy progression and telomere remodeling has been shown to play a role in the progression of hematological malignancies. Thus, the aim of this study is to characterize the three-dimensional (3D) telomeric organization in early and advanced CTCLs. Methods We performed 3D telomeric quantitative fluorescent in situ hybridization (3D Telo-Q-FISH) of 5mm skin tissue slides of 10 patients with MF and SS and of CD4+ lymphocytes of 3 healthy controls (Figure 1). Using the program TeloView (Vermolen et al., 2005), the proportion of telomeres of low intensity (TLI) (<5000 u), the nuclear volume and the total number of telomeric signals per cell were calculated. Patients were stratified based on CD30 expression (CD30 high, n=3 versus CD30 low, n=7) and clinical stage (early stages I-IIA, n=6 versus advanced stages IIB-IV, n=4). Results TLI represented 27% of telomeres in CTCL cells compared to 16% in control lymphocytes (p<0.0001). The highest proportion of TLIs was found in tumors CD30 high (34%), compared to 22% in tumors CD30 low (p<0.0001). Similar findings were observed when stratifying for advanced and early clinical stages (30% vs 24%, p<0.0001). Nuclear volume and total number of telomeric signals increased in CTCL cells expressing CD30 (both p<0.0001), and in CTCL cells associated with advanced clinical stages (p=0.0021 and p=0.001, respectively). However, as expected, nuclear volume and total number of telomeric signals were higher in control cells compared to CTCL cells (both p<0.0001). Conclusion We report clear evidence that CTCLs with either CD30 expression or advanced clinical stage are associated with loss of telomeres and telomeric signal intensity. These very small telomeres, termed 't-stumps', are a hallmark feature in many tumor cells. Analysis of the nuclear volume and total number of telomeric signals suggest that CTCL cells undergo in a first step telomere shortening and loss compared to healthy controls. In a second step further telomeric shortening associated with chromosomal rearrangements and bridge-breakage-fusion cycles may be involved in the progression of CTCL. Disclosures Pehr: Merck: Consultancy, Other: Clinical research on Alzheimers Drug; Eli Lilly: Consultancy, Other: Clinical research on Alzheimers Drug; galderma: Consultancy, Other: tactupump Forte; Actelion: Consultancy; valeant: Consultancy; CeraVe: Consultancy; Janssen-Cilag: Other: Train the trainer.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| 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".