Immunohistochemical detection of human cytomegalovirus, Epstein-Barr virus and human papillomavirus in invasive breast carcinoma in Egyptian women: A tissue microarray study
Bibliographic record
Abstract
Background and aim: Breast cancer is the commonest malignant tumor and a common cause of cancer death in women all overthe world. Some recent studies attributed breast cancer to viral infection. This study aimed to evaluate the expression of HCMV,EBV and HPV in invasive carcinoma of the breast among the Egyptian women by immunohistochemistry and whether there is arelationship between the prognostic factors of breast carcinoma and these viruses. Patients and methods: This retrospective study included 107 selected cases of invasive breast carcinoma. Slides cut from tissuemicroarray prepared blocks were stained immunohistochemically for HCMV, EBV and HPV antigens. The association of suchviruses with the clinicopathological features, tumor recurrence and patient death was evaluated statistically. Result: HCMV, EBV and HPV were present in 43.9%, 10.3% and 24.3% of cases respectively. HCMV was associatedsignificantly with the tumor grade, mitotic count (P = .01), IDC, ER, PR, Her2/neu and molecular subtype (P = .032, .002, .02,.005, .003) respectively. EBV was associated with the tumor size, stage and histological type (P = . 025, .005, .009) respectively.HPV wasn’t associated with any of the clinicopathological characteristics. None of these viruses was associated with the tumorrecurrence or patient death. Conclusion: HCMV and EBV might be contributing factors for the development and behavioural alteration of breast carcinoma,representing potential tools for the detection of specific therapies for this cancer. Further studies on a larger number of casesusing other techniques such as CISH for specific typing of the viruses especially HPV can add more information.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.000 | 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".