E-Cadherin, Integrin Alpha2 (Cd49b), and Transferrin Receptor-1 (Tfr1) Are Promising Immunohistochemical Markers of Selected Adverse Pathological Features in Patients Treated with Radical Prostatectomy.
Piotr ZapałaŁukasz FusZbigniew LewandowskiKarolina GarbasŁukasz ZapałaBarbara GórnickaPiotr RadziszewskiPublished in: Journal of clinical medicine (2021)
In patients treated for prostate cancer (PCa) with radical prostatectomy (RP), determining the risk of extraprostatic extension (EPE) and nodal involvement (NI) remains crucial for planning nerve-sparing and extended lymphadenectomy. The study aimed to determine proteins that could serve as immunohistochemical markers of locally advanced PCa. To select candidate proteins associated with adverse pathologic features (APF) reverse-phase protein array data of 498 patients was retrieved from The Cancer Genome Atlas. The analysis yielded 6 proteins which were then validated as predictors of APF utilizing immunohistochemistry in a randomly selected retrospective cohort of 53 patients. For univariate and multivariate analysis, logistic regression was used. Positive expression of TfR1 (OR 13.74; p = 0.015), reduced expression of CD49b (OR 10.15; p = 0.013), and PSA (OR 1.29; p = 0.013) constituted independent predictors of EPE, whereas reduced expression of e-cadherin (OR 10.22; p = 0.005), reduced expression of CD49b (OR 24.44; p = 0.017), and PSA (OR 1.18; p = 0.002) were independently associated with NI. Both models achieved high discrimination (AUROC 0.879 and 0.888, respectively). Immunohistochemistry constitutes a straightforward tool that might be easily utilized before RP. Expression of TfR1 and CD49b is associated with EPE, whereas expression of e-cadherin and CD49b is associated with NI. Since following immunohistochemical markers predicts respective APFs independently from PSA, in the future they might supplement existing preoperative nomograms or be implemented in novel tools.
Keyphrases
- prostate cancer
- radical prostatectomy
- poor prognosis
- end stage renal disease
- binding protein
- newly diagnosed
- chronic kidney disease
- locally advanced
- squamous cell carcinoma
- emergency department
- neoadjuvant chemotherapy
- lymph node
- long non coding rna
- early stage
- cross sectional
- peritoneal dialysis
- high throughput
- rectal cancer
- radiation therapy
- patient reported outcomes
- machine learning
- patients undergoing
- single cell
- dna methylation
- young adults
- big data
- papillary thyroid
- metal organic framework