Eight-Hit Evolutionary Pattern in ATM Gene of a Breast Carcinoma Patient: A Personalized Approach
Bibliographic record
Abstract
Background: Different genetic variants in the ATM gene have been reported to be associated with breast carcinoma (BC). Purpose of the study was to consider the multi-insights experiments and explorations through the molecular, cellular and structural aspects of ATM. Methods and Results: D1853N polymorphism was traced in a proband with BC. DNA extracted from blood and tumor tissue was PCR-amplified and cloned to allelic localization of characterized variants. Protein expression and In silico analysis based on three different profiles involved in cell cycle were also performed to confirm mutational events. Findings revealed the molecular based sequential events as an eight-hit evolutionary pattern (8- Hit E.P) including D1853N as the first predisposing hit (inherited), pre-differentiation stage hits including IVS 36-8 T>C as the 2nd hit, V1833M as the 3rd hit, L1888L as the 4th, and somatic variants including IVS 36-46 C>T, L1842L, H1864H, and S1872R were considered as the 5-8th hits. Low protein expression of ATM in the majority of cells was observed, but the expression of cyclin E, CDC25A, P53, and Ki-67 was more diverse. Conclusions: Observations were reflective of the sequential molecular and cellular events through the entire patient’s life from the pre-differentiation embryonic stage and all through the post-birth periods. Mentioned hits seem to be effective on expression and function of ATM which confirmed by the expression and in silico analysis.
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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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".