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Submitted
Abstract
Abstract Title
The Potential of Preoperative LIPI as a Survival Predictor in Bladder Cancer Patients
Presentation Type
Podium Abstract
Manuscript Type
Clinical Research
Abstract Category *
Oncology: Bladder and UTUC
Author's Information
Number of Authors (including submitting/presenting author) *
3
No more than 10 authors can be listed (as per the Good Publication Practice (GPP) Guidelines).
Please ensure the authors are listed in the right order.
Country
China
Co-author 1
Xin Zhong zhongxin0625@163.com West China Hospital, Sichuan University Department of Urology Chengdu China *
Co-author 2
Peng Zhang zhangpenghuaxi@126.com West China Hospital, Sichuan University Department of Urology Chengdu China -
Co-author 3
Xiang Li xiangli87@hotmail.com West China Hospital, Sichuan University Department of Urology Chengdu China -
Co-author 4
Co-author 5
Co-author 6
Co-author 7
Co-author 8
Co-author 9
Co-author 10
Co-author 11
Co-author 12
Co-author 13
Co-author 14
Co-author 15
Co-author 16
Co-author 17
Co-author 18
Co-author 19
Co-author 20
Abstract Content
Introduction
To investigate the predictive utility of the lung immune prognostic index (LIPI) in a large Chinese cohort of patients following radical cystectomy for bladder cancer.
Materials and Methods
We conducted a retrospective data collection of patients diagnosed with bladder cancer who underwent radical cystectomy at West China Hospital from December 2010 to December 2020. Based on the LIPI scores determined using the derived neutrophil-to-lymphocyte ratio and lactate dehydrogenase levels, all patients were classified into either low-risk (0 points) or high-risk (1-2 points) categories. The association between LIPI and unfavorable pathological characteristics was evaluated using logistic regression analysis; the associations between LIPI and overall survival (OS) and between LIPI and recurrence-free survival (RFS) were evaluated using Kaplan‒Meier methods and Cox proportional hazard models. To lessen the bias of confounding factors, subgroup analysis was also carried out.
Results
This research included a cohort of 527 individuals who received radical cystectomy. Multivariate logistic regression analysis revealed strong associations between LIPI and tumor diameter (OR: 2.477, 95% CI: 1.554-3.948, P < 0.001) and tumor number (OR: 2.078, 95% CI: 1.294-3.338, P = 0.002). Kaplan-Meier curve revealed that patients in the high-risk LIPI subgroup had significantly inferior OS (P < 0.001) and RFS (P = 0.003) than did those in the low-risk subgroup. Univariate Cox proportional hazards regression showed that high-risk LIPI was a poor prognostic factor for OS (hazard ratio (HR) 1.904, 95% CI: 1.398- 2.593) and RFS (HR 1.656, 95% CI: 1.192- 2.301). After adjusting for clinical features, multivariate analysis revealed that high-risk LIPI was an independent risk factor for OS (HR 1.539, 95% CI: 1.111- 2.133) but not for RFS.
Conclusions
Preoperative LIPI, an independent prognostic biomarker that is dependable, readily available, and novel, has the potential to predict survival in bladder cancer patients undergoing radical cystectomy.
Keywords
biomarker, bladder cancer, lung immune prognostic index (LIPI), radical cystectomy, prognosis.
Figure 1
https://storage.unitedwebnetwork.com/files/1237/56a4a0387cdd7d84d7f4f4c51d072d1c.tiff
Figure 1 Caption
Figure 1 Kaplan–Meier curves for OS (A) and RFS (B) stratified by LIPI.
Figure 2
https://storage.unitedwebnetwork.com/files/1/6d0bf044ad081636b37c033ff4846561.png
Figure 2 Caption
Figure 2 Prognostic significance of LIPI for OS in different subgroups
Figure 3
https://storage.unitedwebnetwork.com/files/1/72281b6a7c47a4846febe60ea07fb013.png
Figure 3 Caption
Figure 3 Prognostic significance of LIPI for RFS in different subgroups
Figure 4
Figure 4 Caption
Figure 5
Figure 5 Caption
Character Count
1803
Vimeo Link
Presentation Details
Session
Free Paper Podium(13): Bladder UTUC (C)
Date
Aug. 15 (Fri.)
Time
16:48 - 16:54
Presentation Order
14