Bibliographic record
Abstract
The Activating transcription factor 3 increases the cell survival, growth and immunity tolerance in body.Moreover, STAT3 is active as an oncogene and its high expression is reported around 70 percent of solid and bloody tumors.It is likely to increase expression in breast cancers, and this increase in the expression of STAT3 gene may be helpful in early diagnosis of breast cancer.First, HRRT1 gene was selected as a control gene, and then the condition of STAT3 gene expression was studied in 30 samples of malignant tissue and 10 samples of normal tissues using the Real Time PCR technique.Increased expression of STAT3 gene was seen in 26 out of 30 samples using the Real Time PCR technique.Among all STAT family members, STAT3 is often associated with tumor genesis and is considered as an oncogene.In general, STAT3 turned to the active form in a wide range of tumors in the cell, and especially, the structural activity of STAT3 which is reported in different types of tumors including multiple myeloma, lymphoma and leukemia, prostate cancer, ovary cancer, melanoma, kidney cancer, and colorectal cancer.In this study, STAT3 gene expression has a considerable expression in the malignant tissue of women with breast cancer compared with the expression of the same gene in normal breast tissue, and it can be considered as a prognosis and biomarker.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.873 | 0.872 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".