Tumor Location and a Tumor Volume over 2.8 cc Predict the Prognosis for Japanese Localized Prostate Cancer
(1) Objective: Our study investigated the prognostic value of tumor volume and location in prostate cancer patients who received radical prostatectomy (RP). (2) Methods: The prognostic significance of tumor volume and location, together with other clinical factors, was studied using 557 patients who...
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creator | Baba, Haruki Sakamoto, Shinichi Zhao, Xue Yamada, Yasutaka Rii, Junryo Fujimoto, Ayumi Kanesaka, Manato Takeuchi, Nobuyoshi Sazuka, Tomokazu Imamura, Yusuke Akakura, Koichiro Ichikawa, Tomohiko |
description | (1) Objective: Our study investigated the prognostic value of tumor volume and location in prostate cancer patients who received radical prostatectomy (RP). (2) Methods: The prognostic significance of tumor volume and location, together with other clinical factors, was studied using 557 patients who received RP. (3) Results: The receiver operating characteristic (ROC) curve identified the optimal cutoff value of tumor volume as 2.8 cc for predicting biochemical recurrence (BCR). Cox regression analysis revealed that a tumor in the posterior area (p = 0.031), peripheral zone (p = 0.0472), and tumor volume ≥ 2.8 cc (p < 0.0001) were predictive factors in univariate analysis. After multivariate analysis, tumor volume ≥ 2.8 cc (p = 0.0225) was an independent predictive factor for BCR. Among them, a novel risk model was established using tumor volume and location in the posterior area and peripheral zone. The progression-free survival (PFS) of patients who met the three criteria (unfavorable group) was significantly worse than other groups (p ≤ 0.001). Furthermore, multivariate analysis showed that the unfavorable risk was an independent prognostic factor for BCR. The prognostic significance of our risk model was observed in low- to intermediate-risk patients, although it was not observed in high-risk patients. (4) Conclusion: Tumor volume (≥2.8 cc) and localization (posterior/peripheral zone) may be a novel prognostic factor in patients undergoing RP. |
doi_str_mv | 10.3390/cancers14235823 |
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(2) Methods: The prognostic significance of tumor volume and location, together with other clinical factors, was studied using 557 patients who received RP. (3) Results: The receiver operating characteristic (ROC) curve identified the optimal cutoff value of tumor volume as 2.8 cc for predicting biochemical recurrence (BCR). Cox regression analysis revealed that a tumor in the posterior area (p = 0.031), peripheral zone (p = 0.0472), and tumor volume ≥ 2.8 cc (p < 0.0001) were predictive factors in univariate analysis. After multivariate analysis, tumor volume ≥ 2.8 cc (p = 0.0225) was an independent predictive factor for BCR. Among them, a novel risk model was established using tumor volume and location in the posterior area and peripheral zone. The progression-free survival (PFS) of patients who met the three criteria (unfavorable group) was significantly worse than other groups (p ≤ 0.001). Furthermore, multivariate analysis showed that the unfavorable risk was an independent prognostic factor for BCR. The prognostic significance of our risk model was observed in low- to intermediate-risk patients, although it was not observed in high-risk patients. (4) Conclusion: Tumor volume (≥2.8 cc) and localization (posterior/peripheral zone) may be a novel prognostic factor in patients undergoing RP.</description><identifier>ISSN: 2072-6694</identifier><identifier>EISSN: 2072-6694</identifier><identifier>DOI: 10.3390/cancers14235823</identifier><identifier>PMID: 36497304</identifier><language>eng</language><publisher>Switzerland: MDPI AG</publisher><subject>Biopsy ; Cancer therapies ; Diagnosis ; Localization ; Medical prognosis ; Multivariate analysis ; Patients ; Prognosis ; Prostate cancer ; Prostatectomy ; Risk assessment ; Risk factors ; Risk groups ; Tumors</subject><ispartof>Cancers, 2022-11, Vol.14 (23), p.5823</ispartof><rights>COPYRIGHT 2022 MDPI AG</rights><rights>2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2022 by the authors. 2022</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c554t-81c820bd7783db938916c2f1221401d3b64fd728d61e2724ce6704857f891a23</citedby><cites>FETCH-LOGICAL-c554t-81c820bd7783db938916c2f1221401d3b64fd728d61e2724ce6704857f891a23</cites><orcidid>0000-0002-6093-3190 ; 0000-0003-4818-3064</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC9740872/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC9740872/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,881,27901,27902,53766,53768</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/36497304$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Baba, Haruki</creatorcontrib><creatorcontrib>Sakamoto, Shinichi</creatorcontrib><creatorcontrib>Zhao, Xue</creatorcontrib><creatorcontrib>Yamada, Yasutaka</creatorcontrib><creatorcontrib>Rii, Junryo</creatorcontrib><creatorcontrib>Fujimoto, Ayumi</creatorcontrib><creatorcontrib>Kanesaka, Manato</creatorcontrib><creatorcontrib>Takeuchi, Nobuyoshi</creatorcontrib><creatorcontrib>Sazuka, Tomokazu</creatorcontrib><creatorcontrib>Imamura, Yusuke</creatorcontrib><creatorcontrib>Akakura, Koichiro</creatorcontrib><creatorcontrib>Ichikawa, Tomohiko</creatorcontrib><title>Tumor Location and a Tumor Volume over 2.8 cc Predict the Prognosis for Japanese Localized Prostate Cancer</title><title>Cancers</title><addtitle>Cancers (Basel)</addtitle><description>(1) Objective: Our study investigated the prognostic value of tumor volume and location in prostate cancer patients who received radical prostatectomy (RP). (2) Methods: The prognostic significance of tumor volume and location, together with other clinical factors, was studied using 557 patients who received RP. (3) Results: The receiver operating characteristic (ROC) curve identified the optimal cutoff value of tumor volume as 2.8 cc for predicting biochemical recurrence (BCR). Cox regression analysis revealed that a tumor in the posterior area (p = 0.031), peripheral zone (p = 0.0472), and tumor volume ≥ 2.8 cc (p < 0.0001) were predictive factors in univariate analysis. After multivariate analysis, tumor volume ≥ 2.8 cc (p = 0.0225) was an independent predictive factor for BCR. Among them, a novel risk model was established using tumor volume and location in the posterior area and peripheral zone. The progression-free survival (PFS) of patients who met the three criteria (unfavorable group) was significantly worse than other groups (p ≤ 0.001). Furthermore, multivariate analysis showed that the unfavorable risk was an independent prognostic factor for BCR. The prognostic significance of our risk model was observed in low- to intermediate-risk patients, although it was not observed in high-risk patients. (4) Conclusion: Tumor volume (≥2.8 cc) and localization (posterior/peripheral zone) may be a novel prognostic factor in patients undergoing RP.</description><subject>Biopsy</subject><subject>Cancer therapies</subject><subject>Diagnosis</subject><subject>Localization</subject><subject>Medical prognosis</subject><subject>Multivariate analysis</subject><subject>Patients</subject><subject>Prognosis</subject><subject>Prostate cancer</subject><subject>Prostatectomy</subject><subject>Risk assessment</subject><subject>Risk factors</subject><subject>Risk groups</subject><subject>Tumors</subject><issn>2072-6694</issn><issn>2072-6694</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>8G5</sourceid><sourceid>BENPR</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNptkk1vGyEQhlHVqInSnHurkHrpxQ5fu8ClUmQ1aStLycHqFWGYdbB2wYXdSO2vL47TNIkCB0bDMy-8o0HoAyVzzjU5dzY6yIUKxhvF-Bt0wohks7bV4u2T-BidlbIldXFOZSvfoWPeCi05ESdou5qGlPEyOTuGFLGNHlt8SP5M_TQATneQMZsr7By-yeCDG_F4CzVOm5hKKLir8A-7sxEK3Ev14Q_4PVBGOwJe3H_0PTrqbF_g7OE8RavLr6vFt9ny-ur74mI5c00jxpmiTjGy9lIq7teaK01bxzrKGBWEer5uReclU76lwCQTDlpJhGpkV0nL-Cn6cpDdTesBvIM4ZtubXQ6Dzb9NssE8v4nh1mzSndFSECX3Ap8fBHL6NUEZzRCKg76v_tJUDJNNbSTTWlT00wt0m6Ycq7tK1T_RlhL1n9rYHkyIXarvur2ouZCiqSa0ppWav0LV7WEILkXoQs0_Kzg_FLja55Khe_RIidkPiHkxILXi49PWPPL_xoH_BWkTtRA</recordid><startdate>20221125</startdate><enddate>20221125</enddate><creator>Baba, Haruki</creator><creator>Sakamoto, Shinichi</creator><creator>Zhao, Xue</creator><creator>Yamada, Yasutaka</creator><creator>Rii, Junryo</creator><creator>Fujimoto, Ayumi</creator><creator>Kanesaka, Manato</creator><creator>Takeuchi, Nobuyoshi</creator><creator>Sazuka, Tomokazu</creator><creator>Imamura, Yusuke</creator><creator>Akakura, Koichiro</creator><creator>Ichikawa, Tomohiko</creator><general>MDPI AG</general><general>MDPI</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7T5</scope><scope>7TO</scope><scope>7XB</scope><scope>8FE</scope><scope>8FH</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>H94</scope><scope>HCIFZ</scope><scope>LK8</scope><scope>M2O</scope><scope>M7P</scope><scope>MBDVC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-6093-3190</orcidid><orcidid>https://orcid.org/0000-0003-4818-3064</orcidid></search><sort><creationdate>20221125</creationdate><title>Tumor Location and a Tumor Volume over 2.8 cc Predict the Prognosis for Japanese Localized Prostate Cancer</title><author>Baba, Haruki ; Sakamoto, Shinichi ; Zhao, Xue ; Yamada, Yasutaka ; Rii, Junryo ; Fujimoto, Ayumi ; Kanesaka, Manato ; Takeuchi, Nobuyoshi ; Sazuka, Tomokazu ; Imamura, Yusuke ; Akakura, Koichiro ; Ichikawa, Tomohiko</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c554t-81c820bd7783db938916c2f1221401d3b64fd728d61e2724ce6704857f891a23</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Biopsy</topic><topic>Cancer therapies</topic><topic>Diagnosis</topic><topic>Localization</topic><topic>Medical prognosis</topic><topic>Multivariate analysis</topic><topic>Patients</topic><topic>Prognosis</topic><topic>Prostate cancer</topic><topic>Prostatectomy</topic><topic>Risk assessment</topic><topic>Risk factors</topic><topic>Risk groups</topic><topic>Tumors</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Baba, Haruki</creatorcontrib><creatorcontrib>Sakamoto, Shinichi</creatorcontrib><creatorcontrib>Zhao, Xue</creatorcontrib><creatorcontrib>Yamada, Yasutaka</creatorcontrib><creatorcontrib>Rii, Junryo</creatorcontrib><creatorcontrib>Fujimoto, Ayumi</creatorcontrib><creatorcontrib>Kanesaka, Manato</creatorcontrib><creatorcontrib>Takeuchi, Nobuyoshi</creatorcontrib><creatorcontrib>Sazuka, Tomokazu</creatorcontrib><creatorcontrib>Imamura, Yusuke</creatorcontrib><creatorcontrib>Akakura, Koichiro</creatorcontrib><creatorcontrib>Ichikawa, Tomohiko</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Immunology Abstracts</collection><collection>Oncogenes and Growth Factors Abstracts</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>Research Library</collection><collection>Biological Science Database</collection><collection>Research Library (Corporate)</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Cancers</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Baba, Haruki</au><au>Sakamoto, Shinichi</au><au>Zhao, Xue</au><au>Yamada, Yasutaka</au><au>Rii, Junryo</au><au>Fujimoto, Ayumi</au><au>Kanesaka, Manato</au><au>Takeuchi, Nobuyoshi</au><au>Sazuka, Tomokazu</au><au>Imamura, Yusuke</au><au>Akakura, Koichiro</au><au>Ichikawa, Tomohiko</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Tumor Location and a Tumor Volume over 2.8 cc Predict the Prognosis for Japanese Localized Prostate Cancer</atitle><jtitle>Cancers</jtitle><addtitle>Cancers (Basel)</addtitle><date>2022-11-25</date><risdate>2022</risdate><volume>14</volume><issue>23</issue><spage>5823</spage><pages>5823-</pages><issn>2072-6694</issn><eissn>2072-6694</eissn><abstract>(1) Objective: Our study investigated the prognostic value of tumor volume and location in prostate cancer patients who received radical prostatectomy (RP). (2) Methods: The prognostic significance of tumor volume and location, together with other clinical factors, was studied using 557 patients who received RP. (3) Results: The receiver operating characteristic (ROC) curve identified the optimal cutoff value of tumor volume as 2.8 cc for predicting biochemical recurrence (BCR). Cox regression analysis revealed that a tumor in the posterior area (p = 0.031), peripheral zone (p = 0.0472), and tumor volume ≥ 2.8 cc (p < 0.0001) were predictive factors in univariate analysis. After multivariate analysis, tumor volume ≥ 2.8 cc (p = 0.0225) was an independent predictive factor for BCR. Among them, a novel risk model was established using tumor volume and location in the posterior area and peripheral zone. The progression-free survival (PFS) of patients who met the three criteria (unfavorable group) was significantly worse than other groups (p ≤ 0.001). Furthermore, multivariate analysis showed that the unfavorable risk was an independent prognostic factor for BCR. The prognostic significance of our risk model was observed in low- to intermediate-risk patients, although it was not observed in high-risk patients. (4) Conclusion: Tumor volume (≥2.8 cc) and localization (posterior/peripheral zone) may be a novel prognostic factor in patients undergoing RP.</abstract><cop>Switzerland</cop><pub>MDPI AG</pub><pmid>36497304</pmid><doi>10.3390/cancers14235823</doi><orcidid>https://orcid.org/0000-0002-6093-3190</orcidid><orcidid>https://orcid.org/0000-0003-4818-3064</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Biopsy Cancer therapies Diagnosis Localization Medical prognosis Multivariate analysis Patients Prognosis Prostate cancer Prostatectomy Risk assessment Risk factors Risk groups Tumors |
title | Tumor Location and a Tumor Volume over 2.8 cc Predict the Prognosis for Japanese Localized Prostate Cancer |
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