Association of cytoreductive nephrectomy and survival in the immune checkpoint inhibitor era.

2020 ◽  
Vol 38 (6_suppl) ◽  
pp. 748-748
Author(s):  
Joseph Miccio ◽  
Sung Jun Ma ◽  
Oluwadamilola Temilade Oladeru ◽  
Daniel X. Yang ◽  
Gabrielle W. Peters ◽  
...  

748 Background: Cytoreductive nephrectomy (CN) for patients (pts) with metastatic renal cell carcinoma (mRCC) improved overall survival (OS) in the interferon (IFN) era, but the benefit of CN in the immune checkpoint inhibitor (ICI) era is unknown. Methods: We identified pts with mRCC receiving immunotherapy (IT) from 2004-2015 in the National Cancer Database (NCDB). Pts with partial nephrectomy or ablation were excluded. The ICI era was defined as 2013-2015 based on a high-profile publication in 2012 demonstrating efficacy of ICI in mRCC and the IFN era was defined as 2004-2005 due to FDA approval of sorafenib in 12/2005. Pts receiving CN with TKI were excluded, as prior NCDB study showed an OS benefit to CN in contrast to the results of the CARMENA trial. Univariable (UVA) and multivariable (MVA) associates with OS during each era were identified using Cox regression analysis including age, sex, race, income, insurance, treatment facility type, treatment location, clinical T stage (cT), clinical N stage (cN), histology, Fuhrman grade (FG), other metastectomy, and CN. Results: There was a 65% decline in mRCC pts receiving IT from 2005 to 2006 (end of the IFN era), which remained low (11% rise from 2006-2012) until a 93% rise from 2012 to 2013 (start of the ICI era). 128 of 422 (30.3%) pts in the IFN era received CN compared to 218 of 526 (41.4%) patients in the ICI era, p<0.001. Pts in each era were balanced with respect to median age, race, income, location, cT, and histology, but the ICI era had higher proportions of pts with private insurance, treatment at an academic center, N0 disease, FG 3-4, and other metastatectomy (p<0.05). Most pts with CN in the ICI era had IT after CN (89.9%); this was not coded in the IFN era. In the IFN era, CN compared to IT alone was associated with improved OS on UVA (HR 0.59, 95% CI 0.47-0.73, p<0.001) and MVA (HR 0.62, 95% CI 0.47-0.83, p=0.001). In the ICI era, CN compared to IT alone was associated with improved OS on UVA (HR 0.63, 95% CI 0.49-0.81, p<0.001) but not on MVA (0.82, 95% CI 0.58-1.14, p=0.234). Conclusions: Despite increased utilization of CN for US pts with mRCC treated with IT during the ICI era, the lack of OS benefit in recent years suggests a need for prospective reevaluation of the value CN and its timing with ICI.

2021 ◽  
Vol 12 ◽  
Author(s):  
Xingyu Chen ◽  
Haotian Chen ◽  
Dong He ◽  
Yaxin Cheng ◽  
Yuxing Zhu ◽  
...  

The tumor microenvironment (TME) plays a crucial role in cancer progression and recent evidence has clarified its clinical significance in predicting outcomes and efficacy. However, there are no studies on the systematic analysis of TME characteristics in bladder cancer. In this study, we comprehensively evaluated the TME invasion pattern of bladder cancer in 1,889 patients, defined three different TME phenotypes, and found that different subtypes were associated with the clinical prognosis and pathological characteristics of bladder cancer. We further explored the signaling pathways, cancer-immunity cycle, copy number, and somatic mutation differences among the different subtypes and used the principal component analysis algorithm to calculate the immune cell (IC) score, a tool for comprehensive evaluation of TME. Univariate and multivariate Cox regression analyses showed that ICscore is a reliable and independent prognostic biomarker. In addition, the use of anti-programmed death-ligand (PD-L1) treatment cohort, receiver operating characteristic (ROC) curve, Tumor Immune Dysfunction and Exclusion (TIDE), Subnetwork Mappings in Alignment of Pathways (SubMAP), and other algorithms confirmed that ICscore is a reliable prognostic biomarker for immune checkpoint inhibitor response. Patients with higher ICscore showed a significant therapeutic advantage in immunotherapy. In conclusion, this study improves our understanding of the characteristics of TME infiltration in bladder cancer and provides guidance for more effective personalized immunotherapy strategies.


2021 ◽  
Vol 2021 ◽  
pp. 1-14
Author(s):  
WenZheng Chen ◽  
ZongFeng Feng ◽  
JianFeng Huang ◽  
PengCheng Fu ◽  
JianBo Xiong ◽  
...  

Background. Gastric cancer is the most common malignant tumor of the digestive system. It has a poor prognosis and is clinically challenging to treat. Ferroptosis is a newly defined mode of programmed cell death. The roles and prognostic value of ferroptosis-related long noncoding RNAs (lncRNAs) in gastric cancer remain unknown. Results. In the current study, 20 ferroptosis-related lncRNAs were identified via univariate Cox analysis, least absolute shrinkage, and selection operator Cox regression analysis and used to construct a prognostic signature and classify gastric cancer patients into high-risk and low-risk groups. The signature was validated using TCGA training and testing cohorts. The risk signature was an independent prognostic indicator of survival and accurately predicted the prognoses of patients with gastric cancer. It was also associated with immune cell infiltration. Gene set enrichment analysis was used to investigate underlying mechanisms that the 20 ferroptosis-related lncRNAs were involved in. Chemosensitivity and immune checkpoint inhibitor analyses indicated that high-risk patients were more sensitive to the immune checkpoint inhibitor programmed cell death protein 1. Conclusions. The important role of ferroptosis-related lncRNAs in immune infiltration identified in the current study may assist the determination of personalized prognoses and treatments in patients with gastric cancer. These 20 lncRNAs can be used as the diagnostic and prognostic markers for gastric cancer.


2021 ◽  
Author(s):  
Xingyu Chen ◽  
Haotian Chen ◽  
Dong He ◽  
YaXing Cheng ◽  
Yuxing Zhu ◽  
...  

Abstract Background The tumor microenvironment (TME) has a significant influence on prognosis and immunotherapy. There are no studies on the systematic analysis of bladder cancer TME and its effect on immune checkpoint inhibitor therapy. Methods We comprehensively evaluated the TME infiltration pattern of bladder cancer in 1,889 patients and conducted extensive immunogenomic analysis to explore the heterogeneity and prognostic significance of the TME of bladder cancer. The principal component analysis algorithm was used to calculate the immune cell (IC)score to quantify the level of IC infiltration. We used the receiver operating characteristic (ROC) curve, Tumor Immune Dysfunction and Exclusion (TIDE), and Subnetwork Mappings in Alignment of Pathways (SubMAP) algorithms to evaluate whether the ICscore can predict the benefits of immune checkpoint inhibitors in bladder cancer patients. Results We identified three different TME phenotypes using unsupervised clustering methods. To explore the potential biological pathways that drive the formation of these microenvironmental phenotypes, we demonstrated the clinical and pathological characteristics, biological signaling pathways, cancer immune circulation, copy number, and somatic mutation differences among the different subtypes. In addition, univariate and multivariate Cox regression analyses showed that the ICscore is a reliable and independent prognostic marker. The ICscore can also predict immune checkpoint inhibitor responsiveness as patients with higher ICscores showed a significant therapeutic advantage in immunotherapy. Conclusions This study increases our understanding of the characteristics of TME infiltration in bladder cancer and provides guidance on more effective personalized immunotherapeutic strategies.


2020 ◽  
Vol 158 (6) ◽  
pp. S-156
Author(s):  
Yousef R. Badran ◽  
Angela Shih ◽  
Donna Leet ◽  
Alexandra Coromilas ◽  
Jonathan Chen ◽  
...  

2019 ◽  
Vol 25 ◽  
pp. 256
Author(s):  
Mohammad Ansari ◽  
Ula Tarabichi ◽  
Hadoun Jabri ◽  
Qiang Nai ◽  
Anis Rehman ◽  
...  

Diabetes ◽  
2018 ◽  
Vol 67 (Supplement 1) ◽  
pp. 204-LB ◽  
Author(s):  
KARA R. MIZOKAMI-STOUT ◽  
ROMA GIANCHANDANI ◽  
MARK MACEACHERN ◽  
RAVI M. IYENGAR ◽  
SARAH YENTZ ◽  
...  

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