Sara Lourrane Carneiro De Andrade Cavalcante, Paulo Goberlânio De Barros Silva, Carlos Gustavo Hirth, Ingrid Kellen Sousa Frederico, Cristiana Libardi Miranda Furtado, Cláudia Do Ó Pessoa, Giulianna Aparecida Vieira Barreto, Lúcio Flávio Gonzaga Silva
{"title":"The p16 Immunostaining Predicts the Risk of Recurrence in Prostate Cancer.","authors":"Sara Lourrane Carneiro De Andrade Cavalcante, Paulo Goberlânio De Barros Silva, Carlos Gustavo Hirth, Ingrid Kellen Sousa Frederico, Cristiana Libardi Miranda Furtado, Cláudia Do Ó Pessoa, Giulianna Aparecida Vieira Barreto, Lúcio Flávio Gonzaga Silva","doi":"10.31557/APJCP.2025.26.1.77","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>This study aimed to investigate the influence of p16 immunohistochemical expression on the biochemical recurrence rate of pT2-pT3 prostate cancer.</p><p><strong>Materials and methods: </strong>A total of 488 pT2-pT3 stage prostate adenocarcinomas undergoing radical prostatectomy were included in this study. Following a review of Gleason classification and retrieval of sociodemographic and clinicopathological data, as well as the date of last consultation and biochemical recurrence, immunohistochemistry for p16 was performed. Data were associated using the chi-square test, Fisher's exact test, and multinomial logistic regression model.</p><p><strong>Results: </strong>A total of 432(94.5%) cases showed positivity for p16 with an average of 37.38±27.32% positive cells and a mean histoscore of 2.70±2.24. A total of 117 (18.4%) patients experienced biochemical recurrence within three years, which was directly associated with high preoperative PSA (p=0.007), positive surgical margins (p<0.001), pT3 staging (p<0.001), nodal involvement (p<0.001), Gleason score > 3+4 (p<0.001), <50% positivity for p16 (p=0.035), and histoscore p16 =<3 (p=0.004). In multivariate analysis, Gleason score > 3+4 (HR = 3.08 (95% CI = 1.69-5.62), positive surgical margins (HR = 2.93 (95% CI = 1.70-5.04), and histoscore p16 =<3 (HR = 2.49 (95% CI = 1.17-5.32) were predictors of biochemical recurrence within three years.</p><p><strong>Conclusion: </strong>p16 immunostaining, along with classical features such as Gleason Score and surgical margin involvement, are significant predictors of biochemical recurrence in pT2-pT3 prostate tumors.</p>","PeriodicalId":55451,"journal":{"name":"Asian Pacific Journal of Cancer Prevention","volume":"26 1","pages":"77-83"},"PeriodicalIF":0.0000,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Asian Pacific Journal of Cancer Prevention","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.31557/APJCP.2025.26.1.77","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Medicine","Score":null,"Total":0}
引用次数: 0
Abstract
Objective: This study aimed to investigate the influence of p16 immunohistochemical expression on the biochemical recurrence rate of pT2-pT3 prostate cancer.
Materials and methods: A total of 488 pT2-pT3 stage prostate adenocarcinomas undergoing radical prostatectomy were included in this study. Following a review of Gleason classification and retrieval of sociodemographic and clinicopathological data, as well as the date of last consultation and biochemical recurrence, immunohistochemistry for p16 was performed. Data were associated using the chi-square test, Fisher's exact test, and multinomial logistic regression model.
Results: A total of 432(94.5%) cases showed positivity for p16 with an average of 37.38±27.32% positive cells and a mean histoscore of 2.70±2.24. A total of 117 (18.4%) patients experienced biochemical recurrence within three years, which was directly associated with high preoperative PSA (p=0.007), positive surgical margins (p<0.001), pT3 staging (p<0.001), nodal involvement (p<0.001), Gleason score > 3+4 (p<0.001), <50% positivity for p16 (p=0.035), and histoscore p16 =<3 (p=0.004). In multivariate analysis, Gleason score > 3+4 (HR = 3.08 (95% CI = 1.69-5.62), positive surgical margins (HR = 2.93 (95% CI = 1.70-5.04), and histoscore p16 =<3 (HR = 2.49 (95% CI = 1.17-5.32) were predictors of biochemical recurrence within three years.
Conclusion: p16 immunostaining, along with classical features such as Gleason Score and surgical margin involvement, are significant predictors of biochemical recurrence in pT2-pT3 prostate tumors.
期刊介绍:
Cancer is a very complex disease. While many aspects of carcinoge-nesis and oncogenesis are known, cancer control and prevention at the community level is however still in its infancy. Much more work needs to be done and many more steps need to be taken before effective strategies are developed. The multidisciplinary approaches and efforts to understand and control cancer in an effective and efficient manner, require highly trained scientists in all branches of the cancer sciences, from cellular and molecular aspects to patient care and palliation.
The Asia Pacific Organization for Cancer Prevention (APOCP) and its official publication, the Asia Pacific Journal of Cancer Prevention (APJCP), have served the community of cancer scientists very well and intends to continue to serve in this capacity to the best of its abilities. One of the objectives of the APOCP is to provide all relevant and current scientific information on the whole spectrum of cancer sciences. They aim to do this by providing a forum for communication and propagation of original and innovative research findings that have relevance to understanding the etiology, progression, treatment, and survival of patients, through their journal. The APJCP with its distinguished, diverse, and Asia-wide team of editors, reviewers, and readers, ensure the highest standards of research communication within the cancer sciences community across Asia as well as globally.
The APJCP publishes original research results under the following categories:
-Epidemiology, detection and screening.
-Cellular research and bio-markers.
-Identification of bio-targets and agents with novel mechanisms of action.
-Optimal clinical use of existing anti-cancer agents, including combination therapies.
-Radiation and surgery.
-Palliative care.
-Patient adherence, quality of life, satisfaction.
-Health economic evaluations.