Matches in SemOpenAlex for { <https://semopenalex.org/work/W2977265552> ?p ?o ?g. }
- W2977265552 endingPage "27" @default.
- W2977265552 startingPage "17" @default.
- W2977265552 abstract "Currently, prostate-specific membrane antigen-radioligand therapy (PSMA-RLT) is considered a last-line treatment option in advanced castration-resistant prostate cancer. Despite these patients' poor prognosis, accurate estimation of their overall survival (OS) is essential to determine whether benefits exist from the treatment and whether the loss of valuable time and unnecessary side effects can be avoided. The aim of the present study is to evaluate whether various biochemical markers can predict OS in men undergoing PSMA-RLT and whether the changes assessed after PSMA-RLT correlate with the OS.The tested tumor markers in this retrospective analysis were alkaline phosphatase (ALP), bone-specific alkaline phosphatase (BAP), prostate-specific antigen (PSA), lactate dehydrogenase (LDH), chromogranin A, and pro-gastrin-releasing peptide (pro-GRP). For the evaluation, we performed blood tests before each PSMA-RLT cycle and during follow-up visits (which were 2-3 months apart). All patients were followed up until their deaths. To test the correlations between the tumor markers and survival, we conducted the logrank tests and the multivariate Cox proportional-hazards regression model. The significance level was set at P < .05.The study included 137 patients who received a total of 487 PSMA-RLT cycles between January 2015 and November 2017. Of the tested biochemical tumor markers, baseline ALP (120 U/L cut-off), LDH (248 U/L cut-off), and PSA (first quartile cut-off) correlated significantly with survival post-PSMA-RLT (P < .001 for ALP and LDH, and P = .007 for PSA). Stable and/or decreased values in most of the initially abnormal parameters were associated with significantly better OS; these parameters were ALP (P = .009), LDH (P = .005), PSA (P < .001), and pro-GRP (P = .013). The BAP and ALP responses also correlated significantly with survival in patients with bone metastases (P = .002 and P < .001, respectively). Furthermore, there was a strong correlation of the kinetic patterns of PSA, ALP, BAP, and LDH with the survival, showing that patients with steadily increasing markers had the shortest OS.Along with the established tumor marker PSA, ALP, LDH, BAP, and pro-GRP were correlated with the OS post-PSMA-RLT in the univariate and multivariate analyses." @default.
- W2977265552 created "2019-10-10" @default.
- W2977265552 creator A5001442023 @default.
- W2977265552 creator A5014277422 @default.
- W2977265552 creator A5017611331 @default.
- W2977265552 creator A5024581793 @default.
- W2977265552 creator A5031219107 @default.
- W2977265552 creator A5031860720 @default.
- W2977265552 creator A5042204788 @default.
- W2977265552 creator A5077502588 @default.
- W2977265552 creator A5083642995 @default.
- W2977265552 date "2019-10-03" @default.
- W2977265552 modified "2023-10-03" @default.
- W2977265552 title "The value of tumor markers in men with metastatic prostate cancer undergoing [ <sup>177</sup> Lu]Lu‐PSMA therapy" @default.
- W2977265552 cites W1546799663 @default.
- W2977265552 cites W1550436913 @default.
- W2977265552 cites W1613602923 @default.
- W2977265552 cites W1759823501 @default.
- W2977265552 cites W1788773500 @default.
- W2977265552 cites W1965683356 @default.
- W2977265552 cites W1993302378 @default.
- W2977265552 cites W2001873673 @default.
- W2977265552 cites W2011027941 @default.
- W2977265552 cites W2014491165 @default.
- W2977265552 cites W2016973566 @default.
- W2977265552 cites W2020244132 @default.
- W2977265552 cites W2022315256 @default.
- W2977265552 cites W2030750348 @default.
- W2977265552 cites W2030940240 @default.
- W2977265552 cites W2032197321 @default.
- W2977265552 cites W2047925700 @default.
- W2977265552 cites W2062076777 @default.
- W2977265552 cites W2066828924 @default.
- W2977265552 cites W2067066175 @default.
- W2977265552 cites W2067274092 @default.
- W2977265552 cites W2074228298 @default.
- W2977265552 cites W2083876618 @default.
- W2977265552 cites W2100115202 @default.
- W2977265552 cites W2113701976 @default.
- W2977265552 cites W2114693836 @default.
- W2977265552 cites W2121953515 @default.
- W2977265552 cites W2130669171 @default.
- W2977265552 cites W2137881146 @default.
- W2977265552 cites W2139995572 @default.
- W2977265552 cites W2145667356 @default.
- W2977265552 cites W2148748670 @default.
- W2977265552 cites W2155421560 @default.
- W2977265552 cites W2157370605 @default.
- W2977265552 cites W2157788428 @default.
- W2977265552 cites W2159771669 @default.
- W2977265552 cites W2162118509 @default.
- W2977265552 cites W2167869791 @default.
- W2977265552 cites W2278392405 @default.
- W2977265552 cites W2302508993 @default.
- W2977265552 cites W2341926107 @default.
- W2977265552 cites W2515351720 @default.
- W2977265552 cites W2520024435 @default.
- W2977265552 cites W2525124727 @default.
- W2977265552 cites W2532226140 @default.
- W2977265552 cites W2589729932 @default.
- W2977265552 cites W2599305587 @default.
- W2977265552 cites W2612027160 @default.
- W2977265552 cites W2625296464 @default.
- W2977265552 cites W2762824224 @default.
- W2977265552 cites W2763185726 @default.
- W2977265552 cites W2770107337 @default.
- W2977265552 cites W2796597724 @default.
- W2977265552 cites W2799931007 @default.
- W2977265552 cites W2801831156 @default.
- W2977265552 cites W2802614725 @default.
- W2977265552 cites W2804723564 @default.
- W2977265552 cites W2807406579 @default.
- W2977265552 cites W2886256257 @default.
- W2977265552 cites W2889411526 @default.
- W2977265552 cites W2901319364 @default.
- W2977265552 cites W2908575644 @default.
- W2977265552 cites W2914833937 @default.
- W2977265552 cites W4297691666 @default.
- W2977265552 doi "https://doi.org/10.1002/pros.23912" @default.
- W2977265552 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/31579967" @default.
- W2977265552 hasPublicationYear "2019" @default.
- W2977265552 type Work @default.
- W2977265552 sameAs 2977265552 @default.
- W2977265552 citedByCount "27" @default.
- W2977265552 countsByYear W29772655522020 @default.
- W2977265552 countsByYear W29772655522021 @default.
- W2977265552 countsByYear W29772655522022 @default.
- W2977265552 countsByYear W29772655522023 @default.
- W2977265552 crossrefType "journal-article" @default.
- W2977265552 hasAuthorship W2977265552A5001442023 @default.
- W2977265552 hasAuthorship W2977265552A5014277422 @default.
- W2977265552 hasAuthorship W2977265552A5017611331 @default.
- W2977265552 hasAuthorship W2977265552A5024581793 @default.
- W2977265552 hasAuthorship W2977265552A5031219107 @default.
- W2977265552 hasAuthorship W2977265552A5031860720 @default.
- W2977265552 hasAuthorship W2977265552A5042204788 @default.
- W2977265552 hasAuthorship W2977265552A5077502588 @default.
- W2977265552 hasAuthorship W2977265552A5083642995 @default.