Non-Random Telomere Lengthening at Specific Chromosome Ends as a Novel Clonal Event in Chronic Myeloid Leukemia
Bibliographic record
Abstract
Abstract It is widely accepted that chromosomal telomere dysfunction caused either by telomere shortening or lesions in the capping machinery is an important factor in carcinogenesis. However, in our recent study using quantitative FISH (Q-FISH), telomere restriction fragment (TRF) analysis and fiber FISH techniques on the measurement of telomere length in 32 cases of chronic myeloid leukemia (CML), we found that telomere lengthening at some specific chromosome ends is apparently a non-random event showing a clonal nature. Methods: TRF: genomic DNA was digested by frequently cutting restriction enzymes. After gel electrophoresis and Southern blotting, the blotted DNA was hybridized to a digoxigenin (DIG)-labeled probe specific for telomeric repeats. A DIG-specific antibody covalently coupled to alkaline phosphate followed by the chemiluminescence detection was used to detect telomere signals. The quantitative measurements of mean TRF length can be reached by scanning the signals on the film and analyzing them with the computer software. Q-FISH: chromosomes on cytogenetic slides were hybridized with a peptide nucleic acid (PNA) telomere probe (Panagene, Korea). The leukemia cells can be traced by the particular chromosome rearrangement presented in the metaphase cells, e.g. t(9;22). The signal intensity, which is proportional to telomere length, of each individual telomere was automatically measured with the software of the imaging system (ISIS 2 MetaSystems, Belmont, MA). The relative telomere length was calculated using the ratio of individual signal intensity to the standard deviation. fiber FISH: fiber FISH was performed with cohybridization of a specific subtelomere probe (with a known size and close to the telomere site of interest) and the telomere probe to the DNA/chromatin fibers preparation on the same slide. Results: The telomere lengthening at short arm of a X chromosome (Xp) was the most frequent event (seen in about 50% of CML cases we studied) in leukemia cells that can be identified by the chromosome 9 and 22 translocation [t(9;22)(q34;q11.2)]. The longest telomere length at Xp end for the CML cases reached 200 kb, which is about 20-fold longer than in normal cells. The other telomeres involved in the non-random lengthening include 18p (7/32), Yp (4/32), 4q (4/32), 5p (3/32), 7q (3/32), and 15p (3/32). Conclusion: While the relationship between the sequence organization for telomere shortening and their function is relatively clear, it has not been well stated if telomere lengthening at specific chromosome ends could be involved in cell proliferation, in maintenance of the genome stability and in evolution of the cancer. Our findings have shown the first evidence that the telomere lengthening at some specific chromosome ends is such a salient clonal event. Further investigation on picking up specific individual telomere lengthening in leukemia cells would greatly aid studies of chromosomal stability, telomerase activity, proliferative capacity and the evaluation of clinical status and thus one can use telomere length as an indicator to follow-up the cancer progression, to evaluate the treatment efficacy and to predict the prognosis in cancer.
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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 | 0.001 |
| 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) | 0.001 | 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".