Immunohistochemical Expression of Nkx3.1 in Prostatic Adenocarcinoma and Benign Prostatic Hyperplasia at a Tertiary Care Hospital in Karachi
Bibliographic record
Abstract
OBJECTIVES To determine NKX3.1 expression in prostatic adenocarcinoma and benign prostate hyperplasia on Immunohistochemistry at a tertiary care hospital in Karachi. METHODOLOGY 74 prostatic specimens were recruited in this comparative cross-sectional study at the Department of Pathology, Pakistan Navy Station Shifa Hospital, Karachi, from January 2018 to February 2019. Of these, 37 specimens were of prostatic adenocarcinoma, and 37 were benign prostate hyperplasia. All specimens were subjected to immunohistochemical staining with NKX3.1. Statistical analysis was done by using SPSS version 23.0. The association of the extent of NKX3.1 staining between the adenocarcinoma and hyperplasia group was assessed using the Chi-square test x2. RESULTSOf the 37 cases of benign prostatic hyperplasia subjected to NKX3.1 staining, 32 showed positive staining with strong to moderate intensity. No staining was observed in 5 cases. 37 cases of adenocarcinoma prostate stained for NKX3.1 revealed positive staining in 30 cases with strong to moderate intensity. Negative staining was seen in 7 cases. The prostatic adenocarcinoma showed a statistically significant association of NKX3.1 positivity compared to benign prostatic hyperplasia cases. The p-value was found to be 0.03. CONCLUSION NKX3.1 staining was highly specific for prostate epithelium, as it was positive in most cases. This immune marker was useful for distinguishing prostatic origin in the context of metastatic lesions. Adding NKX3.1 protein staining to a panel of features may add value to the diagnosis if applied in the appropriate clinicopathologic context.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".