author_facet Lu, Louis
Singhal, Udit
Skolarus, Ted A.
Palapattu, Ganesh S.
Montgomery, Jeffrey Scott
Weizer, Alon Z.
Hollenbeck, Brent K.
Miller, David Christopher
McNamara, Alyssa
Mehra, Rohit
Tomlins, Scott A.
Hamstra, Daniel A.
Morgan, Todd Matthew
Feng, Felix Yi-Chung
Lu, Louis
Singhal, Udit
Skolarus, Ted A.
Palapattu, Ganesh S.
Montgomery, Jeffrey Scott
Weizer, Alon Z.
Hollenbeck, Brent K.
Miller, David Christopher
McNamara, Alyssa
Mehra, Rohit
Tomlins, Scott A.
Hamstra, Daniel A.
Morgan, Todd Matthew
Feng, Felix Yi-Chung
author Lu, Louis
Singhal, Udit
Skolarus, Ted A.
Palapattu, Ganesh S.
Montgomery, Jeffrey Scott
Weizer, Alon Z.
Hollenbeck, Brent K.
Miller, David Christopher
McNamara, Alyssa
Mehra, Rohit
Tomlins, Scott A.
Hamstra, Daniel A.
Morgan, Todd Matthew
Feng, Felix Yi-Chung
spellingShingle Lu, Louis
Singhal, Udit
Skolarus, Ted A.
Palapattu, Ganesh S.
Montgomery, Jeffrey Scott
Weizer, Alon Z.
Hollenbeck, Brent K.
Miller, David Christopher
McNamara, Alyssa
Mehra, Rohit
Tomlins, Scott A.
Hamstra, Daniel A.
Morgan, Todd Matthew
Feng, Felix Yi-Chung
Journal of Clinical Oncology
Prognostic significance of perineural invasion in localized prostate cancer.
Cancer Research
Oncology
author_sort lu, louis
spelling Lu, Louis Singhal, Udit Skolarus, Ted A. Palapattu, Ganesh S. Montgomery, Jeffrey Scott Weizer, Alon Z. Hollenbeck, Brent K. Miller, David Christopher McNamara, Alyssa Mehra, Rohit Tomlins, Scott A. Hamstra, Daniel A. Morgan, Todd Matthew Feng, Felix Yi-Chung 0732-183X 1527-7755 American Society of Clinical Oncology (ASCO) Cancer Research Oncology http://dx.doi.org/10.1200/jco.2015.33.7_suppl.30 <jats:p> 30 </jats:p><jats:p> Background: While perineural invasion (PNI) has been associated with poorer clinical outcomes in prostate cancer patients, it is not well defined as a predictor of long-term endpoints in newly diagnosed prostate cancer. Therefore, we evaluated the role of PNI as a prognostic marker in patients with localized prostate cancer who underwent surgery or radiation. Methods: We analyzed a prospectively collected cohort of 5,034 consecutive patients with localized prostate cancer treated with surgery (n = 4,207) or radiation (n = 827) at University of Michigan from 1994-2013. The primary outcome measured was metastasis-free survival, with secondary outcomes of PSA-recurrence free survival and overall survival (OS). Covariates included age, treatment year, race, comorbidity index, pre-treatment PSA, Gleason score, and T-stage. Survival analysis was estimated using the Kaplan-Meir method, and multivariable analysis was performed using a Cox proportional hazards model. Results: 22.6% of surgery patients and 37.5% of radiation patients had PNI. 169 patients developed metastasis a median of 44 months (IQR 21-83 months) after primary therapy. In the combined cohort, PNI was a predictor of metastasis and PSA recurrence, but not OS (Table 1). For surgery, PNI was a predictor of metastasis, PSA recurrence, and OS. For radiation, PNI was a predictor of metastasis and PSA recurrence, but not OS. Conclusions: PNI is an independent predictor of long-term outcomes in newly diagnosed prostate cancer patients regardless of subsequent therapy. These data support the importance of PNI as a key factor denoting potentially aggressive prostate cancer and importing a significant increase in the likelihood of eventual metastatic progression. [Table: see text] </jats:p> Prognostic significance of perineural invasion in localized prostate cancer. Journal of Clinical Oncology
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title Prognostic significance of perineural invasion in localized prostate cancer.
title_unstemmed Prognostic significance of perineural invasion in localized prostate cancer.
title_full Prognostic significance of perineural invasion in localized prostate cancer.
title_fullStr Prognostic significance of perineural invasion in localized prostate cancer.
title_full_unstemmed Prognostic significance of perineural invasion in localized prostate cancer.
title_short Prognostic significance of perineural invasion in localized prostate cancer.
title_sort prognostic significance of perineural invasion in localized prostate cancer.
topic Cancer Research
Oncology
url http://dx.doi.org/10.1200/jco.2015.33.7_suppl.30
publishDate 2015
physical 30-30
description <jats:p> 30 </jats:p><jats:p> Background: While perineural invasion (PNI) has been associated with poorer clinical outcomes in prostate cancer patients, it is not well defined as a predictor of long-term endpoints in newly diagnosed prostate cancer. Therefore, we evaluated the role of PNI as a prognostic marker in patients with localized prostate cancer who underwent surgery or radiation. Methods: We analyzed a prospectively collected cohort of 5,034 consecutive patients with localized prostate cancer treated with surgery (n = 4,207) or radiation (n = 827) at University of Michigan from 1994-2013. The primary outcome measured was metastasis-free survival, with secondary outcomes of PSA-recurrence free survival and overall survival (OS). Covariates included age, treatment year, race, comorbidity index, pre-treatment PSA, Gleason score, and T-stage. Survival analysis was estimated using the Kaplan-Meir method, and multivariable analysis was performed using a Cox proportional hazards model. Results: 22.6% of surgery patients and 37.5% of radiation patients had PNI. 169 patients developed metastasis a median of 44 months (IQR 21-83 months) after primary therapy. In the combined cohort, PNI was a predictor of metastasis and PSA recurrence, but not OS (Table 1). For surgery, PNI was a predictor of metastasis, PSA recurrence, and OS. For radiation, PNI was a predictor of metastasis and PSA recurrence, but not OS. Conclusions: PNI is an independent predictor of long-term outcomes in newly diagnosed prostate cancer patients regardless of subsequent therapy. These data support the importance of PNI as a key factor denoting potentially aggressive prostate cancer and importing a significant increase in the likelihood of eventual metastatic progression. [Table: see text] </jats:p>
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author Lu, Louis, Singhal, Udit, Skolarus, Ted A., Palapattu, Ganesh S., Montgomery, Jeffrey Scott, Weizer, Alon Z., Hollenbeck, Brent K., Miller, David Christopher, McNamara, Alyssa, Mehra, Rohit, Tomlins, Scott A., Hamstra, Daniel A., Morgan, Todd Matthew, Feng, Felix Yi-Chung
author_facet Lu, Louis, Singhal, Udit, Skolarus, Ted A., Palapattu, Ganesh S., Montgomery, Jeffrey Scott, Weizer, Alon Z., Hollenbeck, Brent K., Miller, David Christopher, McNamara, Alyssa, Mehra, Rohit, Tomlins, Scott A., Hamstra, Daniel A., Morgan, Todd Matthew, Feng, Felix Yi-Chung, Lu, Louis, Singhal, Udit, Skolarus, Ted A., Palapattu, Ganesh S., Montgomery, Jeffrey Scott, Weizer, Alon Z., Hollenbeck, Brent K., Miller, David Christopher, McNamara, Alyssa, Mehra, Rohit, Tomlins, Scott A., Hamstra, Daniel A., Morgan, Todd Matthew, Feng, Felix Yi-Chung
author_sort lu, louis
container_issue 7_suppl
container_start_page 30
container_title Journal of Clinical Oncology
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description <jats:p> 30 </jats:p><jats:p> Background: While perineural invasion (PNI) has been associated with poorer clinical outcomes in prostate cancer patients, it is not well defined as a predictor of long-term endpoints in newly diagnosed prostate cancer. Therefore, we evaluated the role of PNI as a prognostic marker in patients with localized prostate cancer who underwent surgery or radiation. Methods: We analyzed a prospectively collected cohort of 5,034 consecutive patients with localized prostate cancer treated with surgery (n = 4,207) or radiation (n = 827) at University of Michigan from 1994-2013. The primary outcome measured was metastasis-free survival, with secondary outcomes of PSA-recurrence free survival and overall survival (OS). Covariates included age, treatment year, race, comorbidity index, pre-treatment PSA, Gleason score, and T-stage. Survival analysis was estimated using the Kaplan-Meir method, and multivariable analysis was performed using a Cox proportional hazards model. Results: 22.6% of surgery patients and 37.5% of radiation patients had PNI. 169 patients developed metastasis a median of 44 months (IQR 21-83 months) after primary therapy. In the combined cohort, PNI was a predictor of metastasis and PSA recurrence, but not OS (Table 1). For surgery, PNI was a predictor of metastasis, PSA recurrence, and OS. For radiation, PNI was a predictor of metastasis and PSA recurrence, but not OS. Conclusions: PNI is an independent predictor of long-term outcomes in newly diagnosed prostate cancer patients regardless of subsequent therapy. These data support the importance of PNI as a key factor denoting potentially aggressive prostate cancer and importing a significant increase in the likelihood of eventual metastatic progression. [Table: see text] </jats:p>
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spelling Lu, Louis Singhal, Udit Skolarus, Ted A. Palapattu, Ganesh S. Montgomery, Jeffrey Scott Weizer, Alon Z. Hollenbeck, Brent K. Miller, David Christopher McNamara, Alyssa Mehra, Rohit Tomlins, Scott A. Hamstra, Daniel A. Morgan, Todd Matthew Feng, Felix Yi-Chung 0732-183X 1527-7755 American Society of Clinical Oncology (ASCO) Cancer Research Oncology http://dx.doi.org/10.1200/jco.2015.33.7_suppl.30 <jats:p> 30 </jats:p><jats:p> Background: While perineural invasion (PNI) has been associated with poorer clinical outcomes in prostate cancer patients, it is not well defined as a predictor of long-term endpoints in newly diagnosed prostate cancer. Therefore, we evaluated the role of PNI as a prognostic marker in patients with localized prostate cancer who underwent surgery or radiation. Methods: We analyzed a prospectively collected cohort of 5,034 consecutive patients with localized prostate cancer treated with surgery (n = 4,207) or radiation (n = 827) at University of Michigan from 1994-2013. The primary outcome measured was metastasis-free survival, with secondary outcomes of PSA-recurrence free survival and overall survival (OS). Covariates included age, treatment year, race, comorbidity index, pre-treatment PSA, Gleason score, and T-stage. Survival analysis was estimated using the Kaplan-Meir method, and multivariable analysis was performed using a Cox proportional hazards model. Results: 22.6% of surgery patients and 37.5% of radiation patients had PNI. 169 patients developed metastasis a median of 44 months (IQR 21-83 months) after primary therapy. In the combined cohort, PNI was a predictor of metastasis and PSA recurrence, but not OS (Table 1). For surgery, PNI was a predictor of metastasis, PSA recurrence, and OS. For radiation, PNI was a predictor of metastasis and PSA recurrence, but not OS. Conclusions: PNI is an independent predictor of long-term outcomes in newly diagnosed prostate cancer patients regardless of subsequent therapy. These data support the importance of PNI as a key factor denoting potentially aggressive prostate cancer and importing a significant increase in the likelihood of eventual metastatic progression. [Table: see text] </jats:p> Prognostic significance of perineural invasion in localized prostate cancer. Journal of Clinical Oncology
spellingShingle Lu, Louis, Singhal, Udit, Skolarus, Ted A., Palapattu, Ganesh S., Montgomery, Jeffrey Scott, Weizer, Alon Z., Hollenbeck, Brent K., Miller, David Christopher, McNamara, Alyssa, Mehra, Rohit, Tomlins, Scott A., Hamstra, Daniel A., Morgan, Todd Matthew, Feng, Felix Yi-Chung, Journal of Clinical Oncology, Prognostic significance of perineural invasion in localized prostate cancer., Cancer Research, Oncology
title Prognostic significance of perineural invasion in localized prostate cancer.
title_full Prognostic significance of perineural invasion in localized prostate cancer.
title_fullStr Prognostic significance of perineural invasion in localized prostate cancer.
title_full_unstemmed Prognostic significance of perineural invasion in localized prostate cancer.
title_short Prognostic significance of perineural invasion in localized prostate cancer.
title_sort prognostic significance of perineural invasion in localized prostate cancer.
title_unstemmed Prognostic significance of perineural invasion in localized prostate cancer.
topic Cancer Research, Oncology
url http://dx.doi.org/10.1200/jco.2015.33.7_suppl.30