scholarly journals CAMK2N1/RUNX3 methylation is an independent prognostic biomarker for progression-free and overall survival of platinum-sensitive epithelial ovarian cancer patients

2021 ◽  
Vol 13 (1) ◽  
Author(s):  
Karolin Heinze ◽  
Matthias Rengsberger ◽  
Mieczyslaw Gajda ◽  
Lars Jansen ◽  
Linea Osmers ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
Overall Survival ◽  
Epithelial Ovarian Cancer ◽  
Prognostic Value ◽  
Cox Regression ◽  
Univariate Analysis ◽  
Cox Regression Analysis ◽  
Gynecological Malignancy ◽  
Platinum Sensitive ◽  
Marker Combination

Abstract Background To date, no predictive or prognostic molecular biomarkers except BRCA mutations are clinically established for epithelial ovarian cancer (EOC) despite being the deadliest gynecological malignancy. Aim of this biomarker study was the analysis of DNA methylation biomarkers for their prognostic value independent from clinical variables in a heterogeneous cohort of 203 EOC patients from two university medical centers. Results The marker combination CAMK2N1/RUNX3 exhibited a significant prognostic value for progression-free (PFS) and overall survival (OS) of sporadic platinum-sensitive EOC (n = 188) both in univariate Kaplan–Meier (LogRank p < 0.05) and multivariate Cox regression analysis (p < 0.05; hazard ratio HR = 1.587). KRT86 methylation showed a prognostic value only in univariate analysis because of an association with FIGO staging (Fisher’s exact test p < 0.01). Thus, it may represent a marker for EOC staging. Dichotomous prognostic values were observed for KATNAL2 methylation depending on BRCA aberrations. KATNAL2 methylation exhibited a negative prognostic value for PFS in sporadic EOC patients without BRCA1 methylation (HR 1.591, p = 0.012) but positive prognostic value in sporadic EOC with BRCA1 methylation (HR 0.332, p = 0.04) or BRCA-mutated EOC (HR 0.620, n.s.). Conclusion The retrospective analysis of 188 sporadic platinum-sensitive EOC proved an independent prognostic value of the methylation marker combination CAMK2N1/RUNX3 for PFS and OS. If validated prospectively this combination may identify EOC patients with worse prognosis after standard therapy potentially benefiting from intensive follow-up, maintenance therapies or inclusion in therapeutic studies. The dichotomous prognostic value of KATNAL2 should be validated in larger sample sets of EOC.

scholarly journals High expression of junctional adhesion molecule-A is associated with poor survival in patients with epithelial ovarian cancer

2019 ◽  
Vol 34 (3) ◽  
pp. 262-268 ◽  
Author(s):  
Boljevic Ivana ◽  
Malisic Emina ◽  
Milovic-Kovacevic Marijana ◽  
Jovanic Irena ◽  
Bukumiric Zoran ◽  
...  
Keyword(s):  
Gene Expression ◽  
Ovarian Cancer ◽  
Overall Survival ◽  
Regression Analysis ◽  
Epithelial Ovarian Cancer ◽  
Adhesion Molecule ◽  
Cox Regression ◽  
Figo Stage ◽  
Cox Regression Analysis ◽  
Kaplan Meier

Purpose: Aberrant expression of different tight junction proteins, including the junctional adhesion molecule-A (JAM-A), has been frequently reported in association with tumor progression of several malignancies. To our knowledge, this is the first study examining the clinical significance of JAM-A gene expression in epithelial ovarian cancer. Methods: JAM-A expression levels in 44 epithelial ovarian cancer and 12 benign formalin-fixed paraffin-embedded samples were determined by reverse transcription quantitative polymerase chain reaction. Receiver operating characteristic (ROC) curve analysis was used to determine the diagnostic and prognostic potential of JAM-A. Associations between JAM-A expression and clinicopathological characteristics of epithelial ovarian cancer were analyzed using Fisher’s exact test. The Kaplan–Meier method and univariate Cox regression analysis were used for the survival analysis. P ⩽ 0.05 was considered statistically significant. Results: ROC curve analyses showed that JAM-A gene expression exhibits both diagnostic and prognostic performance in epithelial ovarian cancer (area under the curve (AUC) 0.640, 95% confidence interval (CI) 0.488, 0.792, sensitivity 43.18%, specificity 100% and AUC 0.621, 95% CI 0.427, 0.816, sensitivity 52.63%, specificity 85%, respectively). JAM-A expression was significantly associated with International Federation of Gynecologists and Obstetricians (FIGO) stage ( P =0.049) and the Kaplan–Meier method demonstrated that patients with high expression of JAM-A had significantly worse overall survival compared to patients with low JAM-A expression ( P =0.004). Moreover, univariate Cox regression analysis showed that FIGO stage, peritoneal metastasis, residual tumor and JAM-A expression were significantly associated with reduced overall survival in epithelial ovarian cancer. Conclusions: Our results indicate that high levels of JAM-A expression are associated with an advanced clinicopathological feature and may have diagnostic potential; also, it could be a predictor of poor overall survival in patients with epithelial ovarian cancer.

Identification and Validation of a Seven m6A-related lncRNAs Signature Predicting Prognosis of Ovarian Cancer

2021 ◽  
Author(s):  
Yan Li ◽  
Xiaoying Wang ◽  
Yue Han ◽  
Xun Li
Keyword(s):  
Ovarian Cancer ◽  
Regression Analysis ◽  
Correlation Analysis ◽  
Prognostic Value ◽  
Cox Regression ◽  
Risk Group ◽  
Pearson Correlation ◽  
Regression Analyses ◽  
Cox Regression Analysis ◽  
Pearson Correlation Analysis

Abstract Background: Long non-coding RNAs (lncRNAs) play an important role in angiogenesis, immune response, inflammatory response and tumor development and metastasis. m6 A (N6 - methyladenosine) is one of the most common RNA modifications in eukaryotes. The aim of our research was to investigate the potential prognostic value of m6A-related lncRNAs in ovarian cancer (OC).Methods: The data we need for our research was downloaded from the Cancer Genome Atlas (TCGA) and the Gene Expression Omnibus (GEO) database. Pearson correlation analysis between 21 m6A regulators and lncRNAs was performed to identify m6A-related lncRNAs. Univariate Cox regression analysis was implemented to screen for lncRNAs with prognostic value. A least absolute shrinkage and selection operator (LASSO) Cox regression and multivariate Cox regression analyses was used to further reduct the lncRNAs with prognostic value and construct a m6A-related lncRNAs signature for predicting the prognosis of OC patients. Results: 275 m6A-related lncRNAs were obtained using pearson correlation analysis. 29 m6A-related lncRNAs with prognostic value was selected through univariate Cox regression analysis. Then, a seven m6A-related lncRNAs signature was identified by LASSO Cox regression. Each patient obtained a riskscore through multivariate Cox regression analyses and the patients were classified into high-and low-risk group using the median riskscore as a cutoff. Kaplan-Meier curve revealed that the patients in high-risk group have poor outcome. The receiver operating characteristic curve revealed that the predictive potential of the m6A-related lncRNAs signature for OC was powerful. The predictive potential of the m6A-related lncRNAs signature was successfully validated in the GSE9891, GSE26193 datasets and our clinical specimens. Multivariate analyses suggested that the m6A-related lncRNAs signature was an independent prognostic factor for OC patients. Moreover, a nomogram based on the expression level of the seven m6A-related lncRNAs was established to predict survival rate of patients with OC. Finally, a competing endogenous RNA (ceRNA) network associated with the seven m6A-related lncRNAs was constructed to understand the possible mechanisms of the m6A-related lncRNAs involed in the progression of OC.Conclusions: In conclusion, our research revealed that the m6A-related lncRNAs may affect the prognosis of OC patients and identified a seven m6A-related lncRNAs signature to predict the prognosis of OC patients.

scholarly journals The FIGO Stage IVA Versus IVB of Ovarian Cancer: Prognostic Value and Predictive Value for Neoadjuvant Chemotherapy

2018 ◽  
Vol 28 (3) ◽  
pp. 453-458 ◽  
Author(s):  
Parvin Tajik ◽  
Roelien van de Vrie ◽  
Mohammad H. Zafarmand ◽  
Corneel Coens ◽  
Marrije R. Buist ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
Overall Survival ◽  
Neoadjuvant Chemotherapy ◽  
Epithelial Ovarian Cancer ◽  
Prognostic Value ◽  
Median Overall Survival ◽  
Stage Iv ◽  
Figo Stage ◽  
Figo Staging ◽  
Stage Ivb

ObjectiveThe revised version of the International Federation of Gynaecology and Obstetrics (FIGO) staging system (2014) for epithelial ovarian cancer includes a number of changes. One of these is the division of stage IV into 2 subgroups. Data on the prognostic and predictive significance of this classification are scarce. The effect of neoadjuvant chemotherapy (NACT) versus primary debulking surgery (PDS) in relation to the subclassification of FIGO stage IV is also unknown.MethodsWe used data of the EORTC 55971 trial, in which 670 patients with previous stage IIIC or IV epithelial ovarian cancer were randomly assigned to PDS or NACT; 160 patients had previous stage IV. Information on previous FIGO staging and presence of pleural effusion with positive cytology were used to classify tumors as either stage IVA or IVB. We tested the association between stage IVA/IVB and survival to evaluate the prognostic value and interactions between stage, treatment, and survival to evaluate the predictive performance.ResultsAmong the 160 participants with previous stage IV disease, 103 (64%) were categorized as stage IVA and 57 (36%) as stage IVB tumors. Median overall survival was 24 months in FIGO stage IVA and 31 months in stage IVB patients (P = 0.044). Stage IVB patients treated with NACT had 9 months longer median overall survival compared with IVB patients undergoing PDS (P = 0.025), whereas in IVA patients, no significant difference was observed (24 vs 26 months, P = 0.48).ConclusionsThe reclassification of FIGO stage IV into stage IVA or IVB was not prognostic as expected. Compared with stage IVA patients, stage IVB patients have a better overall survival and may benefit more from NACT.

miR-181 Expression is Associated With The Prognosis in Lung Cancer.

2020 ◽  
Author(s):  
Yue Zhao ◽  
Xiangjun Kong ◽  
Hongbing Wang
Keyword(s):  
Lung Cancer ◽  
Overall Survival ◽  
Prognostic Value ◽  
Cox Regression ◽  
Suppressor Gene ◽  
Rank Test ◽  
High Morbidity ◽  
Cox Regression Analysis ◽  
Log Rank Test ◽  
Cancer Tissues

Abstract Background: Lung cancer is one of the most common cancers, with high morbidity and mortality. MiRNAs are proved to play important roles in various human cancers. In our study, we aimed to explore the prognostic value of miR-181 in lung cancerMethods: Quantitative real-time polymerase chain reaction (QRT-PCR) was used to detect the expression level of miR-181 in lung cancer tissues and the paired non-cancerous tissues. The relationship between miR-181 expression and clinicopathologic parameters were analyzed by chi-square test. Kaplan-Meier method with log rank test was applied for overall survival analysis. Furthermore, the Cox regression analyses were performed to evaluate the prognostic value of miR-181 in lung cancer.Results: Down-regulated miR-181 expression was observed in lung cancer tissues (P<0.001), moreover, its expression was significantly correlated with TNM stage (P=0.015) and metastasis (P=0.000). In addition, lung cancer patients with lower miR-181 expression level had poorer overall survival than those with higher expression (log rank test, P=0.011). Cox regression analysis suggested that miR-181 was an independent prognostic factor for lung cancer (HR=1.961, 95%CI=1.135-3.388, P=0.016).Conclusion: MiR-181 may be a tumor suppressor gene in lung cancer, which can predict outcomes for the patients.

A randomized, phase III study (AGO-OVAR-9, GINECO-TCG, NSGO-OC-0102): Gemcitabine-paclitaxel-carboplatin (TCG) versus paclitaxel-carboplatin (TC) as first-line treatment of ovarian cancer (OC): Survival of FIGO stage I-IIA patients

2009 ◽  
Vol 27 (18_suppl) ◽  
pp. LBA5510-LBA5510 ◽  
Author(s):  
J. Herrstedt ◽  
J. Huober ◽  
F. Priou ◽  
H. Müller ◽  
M. Baekelandt ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
Overall Survival ◽  
Cox Regression ◽  
Residual Tumor ◽  
Figo Stage ◽  
Stage I ◽  
Phase Iii ◽  
Cox Regression Analysis ◽  
Phase Iii Study ◽  
First Diagnosis

LBA5510 Background: One option to increase the efficacy of TC in pts with first diagnosis of ovarian cancer is to add a not cross-resistant drug. Methods: We conducted a randomized, prospective, stratified, phase III study comparing therapy with TC to TC plus gemcitabine. From 7/02 to 4/04, pts with a histological verified first diagnosis of epithelial OC, FIGO IC-IV were randomized to either TC (paclitaxel [T] 175 mg/m2 3h iv d1 + carboplatin [C] AUC 5 iv d1) or TCG (TC + gemcitabine [G] 800 mg/m2 iv d1+8) for at least 6 cycles every 21 days starting within 6 weeks post-operatively. The randomization was balanced within three strata: 1) FIGO I-IIA, 2) FIGO IIB-IIIC with residual tumor ≤ 10mm, 3) FIGO IIB-IIIC with residual tumor > 10 mm or FIGO IV. Primary endpoint is overall survival. Results: We enrolled 1,742 pts and administered 5,268 cycles TC and 5,129 cycles TCG. All baseline characteristics of the patients in both arms were well balanced. Most pts received 6+ cycles (87.2% TC, 86.2% TCG). Previous interim analyses has shown that TCG was tolerable but induced more hematological toxicity and final analysis has shown that addition of gemcitabine did not improve overall survival in patients with FIGO stage IIB-IV disease. Approximately 11% of the patients (n = 175) had FIGO stage I-IIA disease (stratum I). Most patients received 6+ cycles (93.3% TC, 86.9% TCG). With a median follow-up of 53.8 (range 0 –75) months, and using the log rank test and Cox regression analysis, no relevant differences in progression free survival (first quartile about 57 months and median ≥ 75 months in both groups, HR = 0.90 [95% CI: 0.47–1.72], p = 0.7500) and a negative trend in overall survival (first quartile ≥ 75 months in both groups, HR = 2.19 [95% CI: 0.75–6.41], p = 0.1419) were seen. Conclusions: Addition of G to TC did not improve efficacy in patients with stage I-IIA ovarian cancer. This was also the case for stratum II-III patients (previously reported). The addition of G to TC in patients with first diagnosis of ovarian cancer cannot be recommended. [Table: see text]

scholarly journals High Density of CD16+ Tumor-Infiltrating Immune Cells in Recurrent Ovarian Cancer Is Associated with Enhanced Responsiveness to Chemotherapy and Prolonged Overall Survival

Cancers ◽  
2021 ◽  
Vol 13 (22) ◽  
pp. 5783
Author(s):  
Alexandros Lalos ◽  
Ornella Neri ◽  
Caner Ercan ◽  
Alexander Wilhelm ◽  
Sebastian Staubli ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
Overall Survival ◽  
Adjuvant Chemotherapy ◽  
Immune Cells ◽  
Cox Regression ◽  
Recurrent Ovarian Cancer ◽  
High Density ◽  
Primary Tumors ◽  
Cox Regression Analysis ◽  
Cd16 Expression

Background: Ovarian cancer (OC) is the most aggressive and fatal malignancy of the female reproductive system. Debulking surgery with adjuvant chemotherapy represents the standard treatment, but recurrence rates are particularly high. Over the past decades, the association between the immune system and cancer progression has been extensively investigated. However, the interaction between chemotherapy and cancer immune infiltration is still unclear. In this study, we examined the prognostic role of CD16 expression in OC, as related to the effectiveness of standard adjuvant chemotherapy treatment. Methods: We analyzed the infiltration by immune cells expressing CD16, a well-characterized natural killer (NK) and myeloid cell marker, in a tissue microarray (TMA) of 47 patient specimens of primary OCs and their matching recurrences by immunohistochemistry (IHC). We analyzed our data first in the whole cohort, then in the primary tumors, and finally in recurrences. We focused on recurrence-free survival (RFS), overall survival (OS), and chemosensitivity. Chemosensitivity was defined as RFS of more than 6 months. Results: There was no significant correlation between CD16 expression and prognosis in primary carcinomas. However, interestingly, a high density of CD16-expressing tumor-infiltrating immune cells (TICs) in recurrent carcinoma was associated with better RFS (p = 0.008) and OS (p = 0.029). Moreover, high CD16 cell density in recurrent ovarian carcinoma showed a significant association with chemosensitivity (p = 0.034). Univariate Cox regression analysis revealed that the high expression of CD16+ TIC in recurrent cancer biopsies is significantly associated with an increased RFS (HR = 0.49; 95% CI 0.24–0.99; p = 0.047) and OS (HR = 0.28; 95% CI 0.10–0.77; p = 0.013). However, this was not independent of known prognostic factors such as age, FIGO stage, resection status, and the number of chemotherapy cycles. Conclusions: The high density of CD16-expressing TICs in recurrent ovarian cancer is associated with a better RFS and OS, thereby suggesting a previously unsuspected interaction between standard OC chemotherapy and immune cell infiltration.

scholarly journals Ovarian Cancer Risk Scores Based on Immune-Related Pseudogenes to Predict Overall Survival and Guide Immunotherapy and Chemotherapy

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Jie Zhao ◽  
Rixiang Zhao ◽  
Xiaocen Wei ◽  
Xiaojing Jiang ◽  
Fan Su
Keyword(s):  
Ovarian Cancer ◽  
Overall Survival ◽  
High Risk ◽  
Cox Regression ◽  
High Risk Group ◽  
The Cancer Genome Atlas ◽  
Risk Scores ◽  
Ovarian Cancer Risk ◽  
Cox Regression Analysis ◽  
The Impact

Background. Ovarian cancer (OC) is the top of the aggressive malignancies in females with a poor survival rate. However, the roles of immune-related pseudogenes (irPseus) in the immune infiltration of OC and the impact on overall survival (OS) have not been adequately studied. Therefore, this study aims to identify a novel model constructed by irPseus to predict OS in OC and to determine its significance in immunotherapy and chemotherapy. Methods. In this study, with the use of The Cancer Genome Atlas (TCGA) combined with Genotype-Tissue Expression (GTEx), 55 differentially expressed irPseus (DEirPseus) were identified. Then, we constructed 10 irPseus pairs with the help of univariate, Lasso, and multivariate Cox regression analysis. The prognostic performance of the model was determined and measured by the Kaplan–Meier curve, a time-dependent receiver operating characteristic (ROC) curve. Results. After dividing OC subjects into high- and low-risk subgroups via the cut-off point, it was revealed that subjects in the high-risk group had a shorter OS. The multivariate Cox regression performed between the model and multiple clinicopathological variables revealed that the model could effectively and independently predict the prognosis of OC. The prognostic model characterized infiltration by various kinds of immune cells and demonstrated the immunotherapy response of subjects with cytotoxic lymphocyte antigen 4 (CTLA4), anti-programmed death-1 (PD-1), and anti-PD-ligand 1 (PD-L1) therapy. A high risk score was related to a higher inhibitory concentration (IC50) for etoposide ( P = 0.0099 ) and mitomycin C ( P = 0.0013 ). Conclusion. It was the first study to identify a novel signature developed by DEirPseus pairs and verify the role in predicting OS, immune infiltrates, immunotherapy, and chemosensitivity. The irPseus are vital factors predicting the prognosis of OC and could act as a novel potential treatment target.

The prognostic value of serum CA 19-9 in patients with metastatic colorectal cancer.

2017 ◽  
Vol 35 (15_suppl) ◽  
pp. e15131-e15131 ◽  
Author(s):  
Camilla Stedstrup Mosgaard ◽  
Mathias Holsey Gramkow ◽  
Christian Dehlendorff ◽  
Dorte Nielsen ◽  
Per Pfeiffer ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Prognostic Value ◽  
Cox Regression ◽  
Univariate Analysis ◽  
Continuous Variables ◽  
Female Ratio ◽  
Cox Regression Analysis ◽  
Line Therapy ◽  
Third Line Therapy ◽  
Third Line

e15131 Background: CEA is regarded as the marker of choice for monitoring patients with colorectal cancer (CRC), but the value of using CA19-9 is insufficient. The prognostic value of serum CA19-9 in combination with CEA was evaluated in patients with metastatic CRC (mCRC) before first (1) and third line therapy (3LT). Methods: From April 2004 to May 2015, pretreatment serum samples were collected from 160 and 255 patients with mCRC before 1LT and 3LT, respectively. Median age was 64 [range 33-87] and male/female ratio 243(59%)/172(41%). Serum CA19-9 was determined by routine chemiluminescent immunometric assay (normal range 0-37 KU/l). Progression-free survival (PFS) and overall (OS) crude, adjusted hazard ratios (HR) and corresponding 95% confidence intervals (CIs) were estimated using Cox regression analysis. CA19-9 and CEA were included as log2-transformed continuous variables and adjustment included mutually between CA19-9 and CEA in addition to primary tumor location, sex and age. Results: In 3LT median pretreatment CEA levels were higher than in 1LT (59 µg/l [IQR 14-288] vs. 23[6-153] P < 0.01) while CA19-9 values were similar (112 KU/l [23-626] vs. 98[19-390]). In patients treated with 3LT univariate analysis showed that high levels of CA19-9 and CEA were associated with short PFS (CA19-9: HR = 1.06, 95% CI 1.02-1.10, P < 0.01; CEA: HR = 1.05, 1.00-1.09, P = 0.04). In 1LT neither CA19-9 nor CEA were significantly associated with PFS. In a multivariate analysis, none of the biomarkers were significantly associated with PFS. In patients treated with 3LT univariate analysis showed that high levels of CA 19-9 and CEA were associated with short OS (CA19-9: HR = 1.11, 1.07-1.16, P < 0.01; CEA: HR = 1.1, 1.06-1.16, P < 0.01). In patients treated with 1LT high levels of CA-19-9 but not CEA was significantly associated with a shorter OS (HR = 1.07, 1.00-1.14, P = 0.04). In 3LT multivariate analyses showed that high levels of CA19-9 and CEA were the only factors associated with a shorter OS (CA19-9: HR = 1.08, 1.03-1.13, P < 0.01; CEA: HR = 1.07, 1.01-1.14, P < 0.01), while there was no significant association to OS in 1LT. Conclusions: Serum CA19-9 may be a valuable prognostic biomarker in combination with CEA in mCRC patients receiving third line therapy.

Systemic immune inflammation index and treatment response in patients with metastatic renal cell cancer.

2018 ◽  
Vol 36 (6_suppl) ◽  
pp. 591-591 ◽  
Author(s):  
Kadriye Bir Yücel ◽  
Arzu Yasar ◽  
Gokhan Ucar ◽  
Gungor Utkan ◽  
Nuriye Yildirim ◽  
...  
Keyword(s):  
Overall Survival ◽  
Multivariate Analysis ◽  
Treatment Response ◽  
Renal Cell ◽  
Prognostic Value ◽  
Cox Regression ◽  
Performance Status ◽  
Univariate Analysis ◽  
Cell Cancer ◽  
Immune Inflammation

591 Background: To investigate the prognostic value of the pretreatment inflammatory characteristics on treatment response and survival. Methods: We included 151 patients with metastatic renal cell carcinoma (mRCC) Patients’ charts were retrospectively analyzed for their clinical, pathological and demographic features. Systemic immune inflammation index (SII) cut off is estimated with median value. Overall survival (OS) was estimated by Kaplan-Meier method for univariate analysis and Cox-regression for multivariate analysis. Results: In high SII group (SII > 844) overall survival is 11 months and in low SII group (SII < 844) overall survival is 22 months (p = 0,008). Median OS is lower in the hypercalcemic group (7 months vs.18 months, P = 0,013). In patients with anemia and thrombocytosis, OS is lower (41 months vs. 13 months p = 0,001 and 6 months vs. 18 months p = 0,01). In multivariate analysis, anemia, SII, and ECOG performance status were able to predict OS (HR = 2,69, HR = 2,04, HR = 2,57) Conclusions: In patients with mRCC, SII may have a prognostic value and higher score may related with decreased overall survival.

The impact of PBRM1 mutations on overall survival in greater than 2,100 patients treated with immune checkpoint blockade (ICB).

2019 ◽  
Vol 37 (7_suppl) ◽  
pp. 666-666 ◽  
Author(s):  
A. Ari Hakimi ◽  
Yasser Ged ◽  
Jessica Flynn ◽  
Douglas R Hoen ◽  
Renzo G Di Natale ◽  
...  
Keyword(s):  
Overall Survival ◽  
Cox Regression ◽  
Univariate Analysis ◽  
Second Line ◽  
Loss Of Function ◽  
First Line ◽  
Vegf Inhibitors ◽  
Cell Renal Cell Carcinoma ◽  
Cox Regression Analysis ◽  
The Impact

666 Background: PBRM1 is the second most commonly mutated gene in clear cell renal cell carcinoma (ccRCC). We have previously shown favorable outcomes in PBRM1-mutated ccRCC tumors treated with vascular endothelial growth factor (VEGF) inhibitors. Recent data suggested PBRM1 mutations may sensitize ccRCC and non RCC malignancies to ICB therapy. We queried the impact of PBRM1 loss on overall survival (OS) across 2,152 patients treated with ICB. Methods: PBRM1 mutations were assessed in metastatic ccRCC patients who received first line (n = 82) or second line (n = 61) ICB or ICB/VEGF combinations. Additionally, 41 cohorts of non-RCC malignancies treated with ICB and combination (n = 2,009) were analyzed. Mutations were assessed by next generation targeted sequencing using archival tissue. Association of mutation status and overall survival (OS) was tested by multivariate Cox regression analysis (MVA) and adjusted for tumor mutation burden (TMB), copy number alterations (CNA), loss of function(LOF) mutations (non RCC cohort) and IMDC risk (for ccRCC patients). Results: PBRM1 mutations were not associated with improved OS in ICB the entire ccRCC cohort (HR 1.37; CI 0.79-2.4; p = 0.265), the first line (p = 0.624) or second line setting (p = 0.39) or as combination with VEGF inhibitors (p = 0.2). Several RCC subgroups were investigated (see Table at bottom). In the non-RCC cohorts (n = 2,009) PBRM1 mutations were not significantly associated with OS on univariate analysis (HR = 0.73, p = 0.22 for LOF and HR = 0.84,p = 0.34 for non LOF), and remained insignificant after adjusting for TMB, total CNA, and drug class (CTLA4, PD-1/PDL-1 and combinations) (HR = 1.07, p = 0.78 for LOF and HR = 1.08,p = 0.67 for non LOF). Conclusions: Neither in ccRCC nor in the pan-cancer cohort did PBRM1 mutations appear to be associated with improved overall survival with ICB therapy.[Table: see text]

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