Detection of Anaplastic Lymphoma Kinase (ALK) gene in Non-Small Cell lung Cancer (NSCLC) By CISH Technique
Bibliographic record
Abstract
Background/Aim: Anaplastic Lymphoma Kinase (ALK) rearrangement has evaluated activity of NSCLC compared with other molecular subtypes (EGFR, KRAS). Many studies demonstrated that patients with ALK rearrangement positive NSCLC have improved with a good response rates and progression (free survival) when treated with either monotherapy or by a combination therapy compared with EGFR-mutated, KRAS/EGFR/ALK wild type or KRAS-mutated. The aim of this study was to detect and study the signal pattern of normal ALK and compare it to that of mutated ALK with gene rearrangement in cases of non-small cell lung cancer and Inflammatory conditions by implementing the CISH technique. In addition to correlate ALK signal pattern with the histopathological type and grade as well as the age and sex of the patients.Materials & Methods: Forty patients with NSCLC and Inflammatory diseases were enrolled in a comparative cross sectional study. The tissue blocks were sectioned on non-charged slides for the preparation of routine H&E staining. Positively charged slides were used for tissue sections prepared for chromogenic in situ hybridization procedure to detect ALK gene.Results: ALK gene signal break apart was detected in (18/20, 90%) of malignant cases; (0/20, 0%) of non-neoplastic lung lesions. There was a significant statistical difference in their distribution, p < 0.05. While There was no significant association between any disease status and sex P value = 1.000NS. The CISH test was 100% sensitive using negative score as a cutoff point and 90.9% specific. The score was divided into three levels that categorized the cases, so there were six cases in score one (1-32%), nine cases in score two (33-67%) and three cases in score three (68-100%).Conclusion: Detection of ALK rearrangement in the early diagnosis of NSCLC is highly sensitive and can save a lot of efforts in planning chemotherapy regimens. Results were very promising in identifying this mutation by a sensitive and highly specific test. The ALK gene rearrangement could be an early mutation and it is needed as an initiating step for the carcinogenesis process. The presence of a double gene mutation, however, could be the cause of a higher-grade cancer.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.000 | 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 teacher head, 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".