Prognostic Factors for Patients With Urachal Carcinoma Undergoing Radical Surgery: Risk Stratification for Future Prospects of Precision Oncology

Purpose: To determine poor prognostic factors for patients with urachal carcinoma (UrC) undergoing radical surgery; identify candidates for precision oncology, including adjuvant therapy; and improve survival outcome of this rare malignant disease. Materials and Methods: We included 51 patients with UrC who underwent radical or partial cystectomy at our institution between 1991 and 2023. Kaplan-Meier curves and log-rank test were performed to estimate overall survival (OS) and recurrence-free survival by applying the Ontario staging system. A Cox proportional hazard regression model was used for multivariate analysis to evaluate prognostic factors for patients undergoing radical surgery. Results: Univariate and multivariate analyses showed that tumor involvement of perivesical fat (Ontario stage T3) and tumor grade were significant prognostic factors for OS. Tumor involvement of perivesical fat was a common factor for both OS and recurrence-free survival. Patients with both adverse factors showed significantly poor OS compared with those with 1 or no adverse factors ( P = .014 and .0014, respectively). Conclusions: Tumor involvement of perivesical fat and tumor grade were strong predictors of survival outcome. Adjuvant therapy might be indicated in patients with high recurrence risk. Our results warrant further, multidisciplinary investigation into the impact of precision oncology for patients with UrC and high recurrence risk.

Authors

Publication Details

Journal
JU Open Plus
Published
2024-09-01
DOI
https://doi.org/10.1097/ju9.0000000000000201
Citations
2
Primary Topic
Urinary and Genital Oncology Studies
Type
article
Field-Weighted Citation Impact
1.15
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Prognostic Factors for Patients With Urachal Carcinoma Undergoing Radical Surgery: Risk Stratification for Future Prospects of Precision Oncology

Takahiro Kirisawa, Tatsunori Shimoi, Kan Yonemori, Yasuo Shinoda et al.
2 citations
JU Open Plus
Urinary and Genital Oncology Studies
1.15
article

Prognostic Factors for Patients With Urachal Carcinoma Undergoing Radical Surgery: Risk Stratification for Future Prospects of Precision Oncology

Takahiro Kirisawa, Tatsunori Shimoi, Kan Yonemori, Yasuo Shinoda, Yoshiyuki Matsui, Hiroyuki Fujimoto, Akiko Miyagi Maeshima, Toru Imai, Hiroki Hagimoto, Tomoya Okuno, Nao Kikkawa, Ayumu Matsuda, Aiko Maejima, Motokiyo Komiyama, Eijiro Nakamura
article en
2 citations

Abstract

Purpose: To determine poor prognostic factors for patients with urachal carcinoma (UrC) undergoing radical surgery; identify candidates for precision oncology, including adjuvant therapy; and improve survival outcome of this rare malignant disease. Materials and Methods: We included 51 patients with UrC who underwent radical or partial cystectomy at our institution between 1991 and 2023. Kaplan-Meier curves and log-rank test were performed to estimate overall survival (OS) and recurrence-free survival by applying the Ontario staging system. A Cox proportional hazard regression model was used for multivariate analysis to evaluate prognostic factors for patients undergoing radical surgery. Results: Univariate and multivariate analyses showed that tumor involvement of perivesical fat (Ontario stage T3) and tumor grade were significant prognostic factors for OS. Tumor involvement of perivesical fat was a common factor for both OS and recurrence-free survival. Patients with both adverse factors showed significantly poor OS compared with those with 1 or no adverse factors ( P = .014 and .0014, respectively). Conclusions: Tumor involvement of perivesical fat and tumor grade were strong predictors of survival outcome. Adjuvant therapy might be indicated in patients with high recurrence risk. Our results warrant further, multidisciplinary investigation into the impact of precision oncology for patients with UrC and high recurrence risk.

JU Open PlusVol. 2(9)
Openalex Percentile: Top 21%
Urinary and Genital Oncology Studies
1.15
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.