Potential Prognostic Immune Biomarkers for Overall Survival in Ovarian Cancer Through Comprehensive Bioinformatics Study: Two Precision Medical Predictive Tools

2019 ◽  
Author(s):  
Zhiqiao Zhang ◽  
Liwen Huang ◽  
Jing Li ◽  
Jianqiang Ding
Keyword(s):  
Ovarian Cancer ◽  
Overall Survival ◽  
Predictive Tools ◽  
Immune Biomarkers ◽  
Bioinformatics Study

scholarly journals Potential Prognostic Immune Biomarkers of Overall Survival in Ovarian Cancer Through Comprehensive Bioinformatics Analysis: A Novel Artificial Intelligence Survival Prediction System

2021 ◽  
Vol 8 ◽  
Author(s):  
Tingshan He ◽  
Liwen Huang ◽  
Jing Li ◽  
Peng Wang ◽  
Zhiqiao Zhang
Keyword(s):  
Artificial Intelligence ◽  
Ovarian Cancer ◽  
Overall Survival ◽  
Transcription Factors ◽  
Cancer Patients ◽  
Prognostic Model ◽  
Cox Regression ◽  
Differentially Expressed ◽  
Immune Genes ◽  
Immune Biomarkers

Background: The tumour immune microenvironment plays an important role in the biological mechanisms of tumorigenesis and progression. Artificial intelligence medicine studies based on big data and advanced algorithms are helpful for improving the accuracy of prediction models of tumour prognosis. The current research aims to explore potential prognostic immune biomarkers and develop a predictive model for the overall survival of ovarian cancer (OC) based on artificial intelligence algorithms.Methods: Differential expression analyses were performed between normal tissues and tumour tissues. Potential prognostic biomarkers were identified using univariate Cox regression. An immune regulatory network was constructed of prognostic immune genes and their highly related transcription factors. Multivariate Cox regression was used to identify potential independent prognostic immune factors and develop a prognostic model for ovarian cancer patients. Three artificial intelligence algorithms, random survival forest, multitask logistic regression, and Cox survival regression, were used to develop a novel artificial intelligence survival prediction system.Results: The current study identified 1,307 differentially expressed genes and 337 differentially expressed immune genes between tumour samples and normal samples. Further univariate Cox regression identified 84 prognostic immune gene biomarkers for ovarian cancer patients in the model dataset (GSE32062 dataset and GSE53963 dataset). An immune regulatory network was constructed involving 63 immune genes and 5 transcription factors. Fourteen immune genes (PSMB9, FOXJ1, IFT57, MAL, ANXA4, CTSH, SCRN1, MIF, LTBR, CTSD, KIFAP3, PSMB8, HSPA5, and LTN1) were recognised as independent risk factors by multivariate Cox analyses. Kaplan-Meier survival curves showed that these 14 prognostic immune genes were closely related to the prognosis of ovarian cancer patients. A prognostic nomogram was developed by using these 14 prognostic immune genes. The concordance indexes were 0.760, 0.733, and 0.765 for 1-, 3-, and 5-year overall survival, respectively. This prognostic model could differentiate high-risk patients with poor overall survival from low-risk patients. According to three artificial intelligence algorithms, the current study developed an artificial intelligence survival predictive system that could provide three individual mortality risk curves for ovarian cancer.Conclusion: In conclusion, the current study identified 1,307 differentially expressed genes and 337 differentially expressed immune genes in ovarian cancer patients. Multivariate Cox analyses identified fourteen prognostic immune biomarkers for ovarian cancer. The current study constructed an immune regulatory network involving 63 immune genes and 5 transcription factors, revealing potential regulatory associations among immune genes and transcription factors. The current study developed a prognostic model to predict the prognosis of ovarian cancer patients. The current study further developed two artificial intelligence predictive tools for ovarian cancer, which are available at https://zhangzhiqiao8.shinyapps.io/Smart_Cancer_Survival_Predictive_System_17_OC_F1001/ and https://zhangzhiqiao8.shinyapps.io/Gene_Survival_Subgroup_Analysis_17_OC_F1001/. An artificial intelligence survival predictive system could help improve individualised treatment decision-making.

scholarly journals Trace Amine-Associated Receptor 1 (TAAR1) Is a Positive Prognosticator for Epithelial Ovarian Cancer

2021 ◽  
Vol 22 (16) ◽  
pp. 8479
Author(s):  
Tilman L. R. Vogelsang ◽  
Aurelia Vattai ◽  
Elisa Schmoeckel ◽  
Till Kaltofen ◽  
Anca Chelariu-Raicu ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
Overall Survival ◽  
Epithelial Ovarian Cancer ◽  
Tnm Classification ◽  
Rank Correlation ◽  
University Hospital ◽  
Cancer Tissue ◽  
Low Grade ◽  
High Grade ◽  
Trace Amine

Trace amine-associated receptor 1 (TAAR1) is a Gαs- protein coupled receptor that plays an important role in the regulation of the immune system and neurotransmission in the CNS. In ovarian cancer cell lines, stimulation of TAAR1 via 3-iodothyronamine (T1AM) reduces cell viability and induces cell death and DNA damage. Aim of this study was to evaluate the prognostic value of TAAR1 on overall survival of ovarian carcinoma patients and the correlation of TAAR1 expression with clinical parameters. Ovarian cancer tissue of n = 156 patients who were diagnosed with epithelial ovarian cancer (serous, n = 110 (high-grade, n = 80; low-grade, n = 24; unknown, n = 6); clear cell, n = 12; endometrioid, n = 21; mucinous, n = 13), and who underwent surgery at the Department of Obstetrics and Gynecology, University Hospital of the Ludwig-Maximilians University Munich, Germany between 1990 and 2002, were analyzed. The tissue was stained immunohistochemically with anti-TAAR1 and evaluated with the semiquantitative immunoreactive score (IRS). TAAR1 expression was correlated with grading, FIGO and TNM-classification, and analyzed via the Spearman’s rank correlation coefficient. Further statistical analysis was obtained using nonparametric Kruskal-Wallis rank-sum test and Mann-Whitney-U-test. This study shows that high TAAR1 expression is a positive prognosticator for overall survival in ovarian cancer patients and is significantly enhanced in low-grade serous carcinomas compared to high-grade serous carcinomas. The influence of TAAR1 as a positive prognosticator on overall survival indicates a potential prognostic relevance of signal transduction of thyroid hormone derivatives in epithelial ovarian cancer. Further studies are required to evaluate TAAR1 and its role in the development of ovarian cancer.

scholarly journals Comparison of the survival outcomes of laparoscopy versus laparotomy in treatment of early-stage ovarian cancer: a systematic review and meta-analysis

2021 ◽  
Vol 14 (1) ◽  
Author(s):  
Qingduo Kong ◽  
Hongyi Wei ◽  
Jing Zhang ◽  
Yilin Li ◽  
Yongjun Wang
Keyword(s):  
Ovarian Cancer ◽  
Overall Survival ◽  
Early Stage ◽  
Meta Analysis ◽  
Progression Free Survival ◽  
Cochrane Library ◽  
Survival Outcomes ◽  
Free Survival ◽  
Review Manager ◽  
Early Stage Ovarian Cancer

Abstract Background Laparoscopy has been widely used for patients with early-stage epithelial ovarian cancer (eEOC). However, there is limited evidence regarding whether survival outcomes of laparoscopy are equivalent to those of laparotomy among patients with eEOC. The result of survival outcomes of laparoscopy is still controversial. The aim of this meta-analysis is to analyze the survival outcomes of laparoscopy versus laparotomy in the treatment of eEOC. Methods According to the keywords, Pubmed, Embase, Cochrane Library and Clinicaltrials.gov were searched for studies from January 1994 to January 2021. Studies comparing the efficacy and safety of laparoscopy versus laparotomy for patients with eEOC were assessed for eligibility. Only studies including outcomes of overall survival (OS) were enrolled. The meta-analysis was performed using Stata software (Version 12.0) and Review Manager (Version 5.2). Results A total of 6 retrospective non-random studies were included in this meta-analysis. The pooled results indicated that there was no difference between two approaches for patients with eEOC in OS (HR = 0.6, P = 0.446), progression-free survival (PFS) (HR = 0.6, P = 0.137) and upstaging rate (OR = 1.18, P = 0.54). But the recurrence rate of laparoscopic surgery was lower than that of laparotomic surgery (OR = 0.48, P = 0.008). Conclusions Laparoscopy and laparotomy appear to provide comparable overall survival and progression-free survival outcomes for patients with eEOC. Further high-quality studies are needed to enhance this statement.

scholarly journals Comparison of dose-dense vs. 3-weekly paclitaxel and carboplatin in the first-line treatment of ovarian cancer in a propensity score-matched cohort

BMC Cancer ◽  
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Rafaela Pirolli ◽  
Viviane Teixeira Loiola de Alencar ◽  
Felipe Leonardo Estati ◽  
Adriana Regina Gonçalves Ribeiro ◽  
Daniella Yumi Tsuji Honda ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
Overall Survival ◽  
Propensity Score ◽  
Ovarian Carcinoma ◽  
Matched Cohort ◽  
Line Treatment ◽  
First Line ◽  
Western Population ◽  
Dose Dense ◽  
First Line Treatment

Abstract Background Benefit of carboplatin and dose-dense weekly paclitaxel (ddCT) in first line treatment of ovarian cancer patients has been different in Western and Asian studies. In the present study we compare progression-free survival (PFS) of ddCT to three-weekly carboplatin and paclitaxel (CT) in first-line treatment of ovarian carcinoma in a single institution in a Western population. Materials and methods We conducted a retrospective review of medical records from patients with ovarian carcinoma treated in a tertiary cancer center from 2007 to 2018. All patients treated with ddCT or CT in the first-line setting were included. Patients who received first-line bevacizumab were not included. PFS and overall survival (OS) were compared in a propensity score-matched cohort to address selection bias. Patients were matched according to age, ECOG performance status, CA 125, FIGO stage, residual disease, and histological subtype, in a 1:2 ratio. Results Five hundred eighty-eight patients were eligible for propensity score matching, the final cohort consisted of 69 patients treated with ddCT and 138 CT group. Baseline characteristics were well-balanced. After a median follow-up of 65.1 months, median PFS was 29.3 vs 20.0 months, favouring ddCT treatment (p = 0.035). In the multivariate cox regression ddCT showed a 18% lower risk of progression (HR 0.82, 95% CI 0.68–0.99, p = 0.04). Overall survival data is immature, but suggested better outcomes for ddCT (not reached versus 78.8 months; p = 0.07). Conclusion Our retrospective study has shown superior PFS of ddCT over CT regimen in first-line treatment of ovarian carcinoma in a Western population not treated with bevacizumab.

scholarly journals 208 E7777 (denileukin diftitox) enhances anti-tumor activity and significantly extends survival benefit of anti-PD-1 in syngeneic solid tumor models

2020 ◽  
Vol 8 (Suppl 3) ◽  
pp. A224-A225
Author(s):  
Mary Woodall-Jappe ◽  
A Raghav Chari ◽  
Anil Namboodiripad ◽  
Chandrasekhar Goda
Keyword(s):  
Overall Survival ◽  
Tumor Growth ◽  
Solid Tumor ◽  
Therapeutic Benefit ◽  
Tumor Models ◽  
Treg Depletion ◽  
Immune Biomarkers ◽  
Group 5 ◽  
Tumor Measurements ◽  
Anti Tumor Activity

BackgroundRegulatory T cell (Tregs) inhibit activity of anti-tumor T cells, and have been shown to limit checkpoint inhibitor effectiveness. Depletion of Tregs seems desirable during immunotherapy, but chronic Treg depletion with antibody therapies can lead to serious autoimmune adverse events. Compared to antibodies, the fusion protein E7777 (IL-2/diphtheria toxin) has a relatively short half-life in circulation, which allows for transient and selective Treg depletion. The potential therapeutic benefit of combining E7777 with anti-PD-1 was tested in syngeneic solid tumor models.MethodsCT26 colon and H22 liver cancer tumors were implanted subcutaneously in immunocompetent BALB/c mice. E7777 (2.5 mcg/mouse, i.v.) was given on a Q7Dx3 schedule. Anti-murine PD-1 was given (100 mcg/mouse, i.v.) Q4Dx5. Groups of 16 mice received each agent as monotherapy or in combinations. Sequencing of combination administration was also varied: Group 4 started treatment on the same day; Group 5 received E7777 2 days prior to start of anti-PD-1; Group 6 received anti-PD-1 first. Tumor growth was compared across all groups. In survival studies, mice were treated for 3 weeks and observed with twice weekly tumor measurements. In other experiments, tumors, tumor-draining lymph nodes, and spleens were examined by IHC and by flow cytometry of immune cells from dissociated tissues at defined points, for immune biomarkers.ResultsFigure 1 shows additive benefit from the E7777 + anti-PD-1 combinations over either monotherapy. Most importantly, figure 2 and table 1 show significantly enhanced overall survival from a 3 week course of combinations compared to either agent alone (p<0.005) or to vehicle controls (p<0.000001). There was no clear distinction among different sequencing regimens. Benefit correlated with enhanced CD8:Treg ratios in tumors.Abstract 208 Figure 1Tumor growth in s.c. syngeneic solid tumors. N=16/groupAbstract 208 Figure 2Overall survival in s.c. syngeneic models. N=16/groupAbstract 208 Table 1Calculated median survivalConclusionsDepletion of Tregs by E7777 significantly increased anti-tumor activity and durably extended overall survival compared to treatment with anti-PD-1 alone in syngeneic solid tumor models. Clinical studies of a combination of the two agents are planned.Ethics ApprovalAll studies were conducted at Crown Bio, and were approved by the Crown Bio IACUC.

Prognostic Relevance of Celiac Lymph Node Involvement in Ovarian Cancer

2014 ◽  
Vol 24 (1) ◽  
pp. 48-53 ◽  
Author(s):  
Alejandra Martínez ◽  
Cristophe Pomel ◽  
Thomas Filleron ◽  
Marjolein De Cuypere ◽  
Eliane Mery ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
Overall Survival ◽  
Lymph Node ◽  
Oncologic Outcome ◽  
Progression Free Survival ◽  
Disease Spread ◽  
Short Term ◽  
Free Survival ◽  
Increased Risk

ObjectiveThe aim of the study was to report on the oncologic outcome of the disease spread to celiac lymph nodes (CLNs) in advanced-stage ovarian cancer patients.MethodsAll patients who had CLN resection as part of their cytoreductive surgery for epithelial ovarian, fallopian, or primary peritoneal cancer were identified. Patient demographic data with particular emphasis on operative records to detail the extent and distribution of the disease spread, lymphadenectomy procedures, pathologic data, and follow-up data were included.ResultsThe median follow-up was 26.3 months. The median overall survival values in the group with positive CLNs and in the group with negative CLNs were 26.9 months and 40.04 months, respectively. The median progression-free survival values in the group with metastatic CLNs and in the group with negative CLNs were 8.8 months and 20.24 months, respectively (P = 0.053). Positive CLNs were associated with progression during or within 6 months after the completion of chemotherapy (P = 0.0044). Tumor burden and extensive disease distribution were significantly associated with poor progression-free survival, short-term progression, and overall survival. In multivariate analysis, only the CLN status was independently associated with short-term progression.ConclusionsDisease in the CLN is a marker of disease severity, which is associated to a high-risk group of patients with presumed adverse tumor biology, increased risk of lymph node progression, and worst oncologic outcome.

Sorafenib in Combination With Gemcitabine in Recurrent Epithelial Ovarian Cancer: A Study of the Princess Margaret Hospital Phase II Consortium

2010 ◽  
Vol 20 (5) ◽  
pp. 787-793 ◽  
Author(s):  
Stephen A. Welch ◽  
Hal W. Hirte ◽  
Laurie Elit ◽  
Russel J. Schilder ◽  
Lisa Wang ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
Overall Survival ◽  
Stable Disease ◽  
Response Rate ◽  
Objective Response ◽  
Evaluation Criteria ◽  
Ca 125 ◽  
Response Evaluation ◽  
Time To Progression ◽  
Response Evaluation Criteria

Objectives:Antiangiogenic strategies have demonstrated efficacy in epithelial ovarian cancer (EOC). Sorafenib is a novel multitargeted kinase inhibitor with antiangiogenic activity. Gemcitabine has known activity against EOC. A phase 1 clinical trial of this combination suggested activity in ovarian cancer with no dose-limiting toxicity. This phase 2 study was designed to examine the safety and efficacy of gemcitabine and sorafenib in patients with recurrent EOC.Methods:Patients with recurrent EOC after platinum-based chemotherapy and who had subsequently received up to 3 prior chemotherapy regimens were eligible. Gemcitabine (1000 mg/m2 intravenous [IV]) was administered weekly for 7 of 8 weeks in the first cycle, then weekly for 3 weeks of each subsequent 4-week cycle. Sorafenib (400 mg p.o. bid) was given continuously. The primary end point for this trial was objective response rate by the Response Evaluation Criteria in Solid Tumors. Secondary endpoints included Gynecologic Cancer Intergroup (GCIG) CA-125 response, time to progression, overall survival, and toxicity.Results:Forty-three patients were enrolled, and 33 completed at least 1 cycle. Two patients had a partial response (Response Evaluation Criteria in Solid Tumors objective response rate = 4.7%). Ten patients (23.3%) maintained response or stable disease for at least 6 months. GCIG CA-125 response was 27.9%. The median time to progression was 5.4 months, and the median overall survival was 13.0 months. Hematologic toxicity was common but manageable. The most common nonhematologic adverse events were hand-foot syndrome, fatigue, hypokalemia, and diarrhea.Conclusion:This trial of gemcitabine and sorafenib in recurrent EOC did not meet its primary efficacy end point, but the combination was associated with encouraging rates of prolonged stable disease and CA-125 response.

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