The Prognostic Role of Neutrophil Gelatinase-Associated Lipocalin and Kidney Injury Molecule-1 Expressions in Gastric Carcinomas
Bibliographic record
Abstract
Background: The survival rate among stomach adenocarcinoma patients is exceedingly low. NGAL (neutrophil gelatinase-associated lipocalin) has pivotal roles in cell proliferation, immunity, and tumorigenesis. KIM-1 (Kidney Injury Molecule-1), also referred to as TIM-1 and HAVcr-1, is a transmembrane glycoprotein located in healthy immune cells and epithelial cells, and its upregulated form is generally found in several human cancers. Aim: The aim of this study was to investigate the prognostic significance of the expression of KIM-1 and NGAL in stomach cancers and identify NGAL-positive inflammatory cells in the tumor microenvironment. Materials and Methods: We immunohistochemically evaluated the expression of NGAL and KIM1 in 172 cases of stomach adenocarcinomas. Result: The mean age of the patients was 64.07 ± 12.35 years, and the mean and median follow-up period were 25.5 and 20.3 months, respectively. The expression rates of KIM-1 and NGAL in tumor cells were identical at 31.4% (n = 54). In 27 of these cases, both proteins were present. Among the deceased patients, the rate of simultaneous KIM-1 and NGAL positivity was relatively higher (p = 0.041). NGAL-positive inflammatory cells were observed in 13.4% of cases, with no significant correlation between these cells and survival times (p = 0.497). However, there was a negative correlation between survival times and KIM-1 (p = 0.037) and NGAL (p = 0.016) expressions in tumor cells. Conclusions: The present study has shown that KIM-1- and NGAL-positive tumor cells are influential in gastric tumorigenesis. Given the progress in anti-KIM-1 therapy, the presence of KIM-1 expression could contribute to the development of new treatment options for aggressive gastric cancer. However, these discoveries need to be validated in larger-scale studies.
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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 | 0.001 | 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 | 0.000 | 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) | 0.001 | 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".