The Prognostic Value of Ephrin Type‐A2 Receptor (EPHA2) and Ki67 in Renal Cell Carcinoma Patients: An Immunohistochemical and Bioinformatical Approach
Bibliographic record
Abstract
Background The incidence of renal cell carcinoma (RCC), the most common malignant renal epithelial tumour, is increasing worldwide. Patients usually present with advanced disease and mostly have unpredicted clinical behaviour. A variety of prognostic factors have been proposed as useful parameters, however many of them showed limited clinical value. Thus, the discovery of novel prognostic markers, which might help in predicting patients' outcome and additional new targets to treat this disease are still in great demand. EphA2, a receptor tyrosine kinase, was found to be overexpressed in several malignancies and its expression in different tumours was found to be associated with poor prognostic features. In addition, a group of emerging strategies was recently introduced to target this receptor and found to show anti‐tumorigenic activity in various pre‐clinical cancer models. Aim To investigate the prognostic value of EphA2 expression in RCC patients and its association with other clinicopathological parameters as well as Ki67 expression, which is a well‐known proliferative and prognostic marker. Materials and Methods The expression of EphA2 and Ki67 was investigated immunohistochemically, and the results were correlated with the different clinicopathological parameters in 50 primary tumour blocks obtained from RCC cases surgically managed in the Urology Department, Alexandria University Main Hospital, during the period (2012–2015). In addition, the association between the EphA2 mRNA expression and the tumour stage as well as the patient outcome was also evaluated using two large publicly available databases. Results Our results showed a significant association between EphA2 expression and the tumour size, the nuclear grade, the tumour stage, the patient's outcome and the Ki‐67 expression (P < 0.05 for all). The same trend was also observed with EphA2 mRNA expression using larger patients' cohorts in two publicly available databases. Notably, EphA2 protein expression showed higher levels of co‐expression with the proliferative marker Ki67. Conclusion We concluded that higher expression of EphA2 and Ki67 in tumour tissues predicts a locally aggressive behaviour and poor outcome of RCC patients. Moreover, our results give a rationale for the potential benefits of using novel therapeutic strategies with the aim of targeting EphA2 receptor in RCC that might help in improving their outcome. This abstract is from the Experimental Biology 2019 Meeting. There is no full text article associated with this abstract published in The FASEB Journal .
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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 | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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".