Univariate and multivariate logistic regression model for development of metastases.

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posted on 2024-11-27, 18:40 authored by Angelyn Anton, Ryan Hutchinson, Christopher M. Hovens, Michael Christie, Andrew Ryan, Peter Gibbs, Anthony Costello, Justin Peters, Paul J. Neeson, Niall M. Corcoran, Ben Tran

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multivariable logistic regression high international society future immunotherapeutic strategies demonstrated limited activity analyse risk factors 31 – 21 independent risk factor cell receptor recognition quantified within tumor primary prostate cancer xlink "> immunotherapy used descriptive statistics underwent radical prostatectomy peritumoral benign tissue l1 dual staining 2 cell subset densities prostate cancer patients higher grade group prostate cancer xlink ">radical prostatectomy cell densities prostate immunohistochemical independent predictors grade group cell subsets cell density tumor antigens higher density differentiate tumor patients treated 175 patients 115 patients urological pathologists tme ),suggesting lower recurrent disease peritumoral regions peritumoral ).peritumoral ),operative psa metastatic disease median pre median 648 median 162 low grade likely reflects l1 expression immune tme consecutive slides compare groups ci 1 biochemical recurrence antibody cocktail also performed 66 %)63 years

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Univariate and multivariate logistic regression model for development of metastases.

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