scholarly journals Best supportive care and prognosis: advanced gastroesophageal adenocarcinoma

2021 ◽  
pp. bmjspcare-2020-002637
Author(s):  
Kirsty E Cavanagh ◽  
Mark A Baxter ◽  
Russell D Petty
Keyword(s):  
Regression Analysis ◽  
Supportive Care ◽  
Real World ◽  
Palliative Chemotherapy ◽  
Cox Regression ◽  
Group Performance ◽  
Best Supportive Care ◽  
Cox Regression Analysis ◽  
Gastroesophageal Adenocarcinoma ◽  
Ecog Ps

ObjectivesReal-world data are lacking on survival in patients with advanced gastroesophageal adenocarcinoma (GOA) treated with best supportive care (BSC) alone. This knowledge is vital to personalise cancer treatment and obtain informed consent. This study aimed to define and compare survival in patients with advanced GOA treated with and without palliative chemotherapy (CTx), and to explore the factors that impact prognosis.MethodsPatients in NHS Tayside, Scotland, diagnosed with advanced GOA (defined as non-resectable) over a 2-year period were identified retrospectively. Clinical data were obtained from electronic records. Kaplan-Meier and Cox regression analysis were performed to determine median overall survival (mOS) and investigate contributing factors.Results127 eligible patients were identified. There was a significant difference in mOS between patients in the BSC and CTx groups (3.1 months vs 8.9 months, p=0.00089). This was maintained when those deemed not fit for CTx were removed. One-year survival was 16% versus 33%. Cox regression analysis in the BSC group identified stage (p<0.001) and Eastern Cooperative Oncology Group performance status (ECOG PS) (p=0.013) as having independent predictive value for survival. Age was not related to outcome. Palliative stents were inserted in 48 patients (37.8%).ConclusionsTo our knowledge, this is the largest reported study in Europe of outcomes in patients with advanced GOA treated with BSC only. The mOS with BSC is approximately 3 months. Cancer stage and ECOG PS have a role in prognostication at diagnosis. Our findings support the benefit of palliative chemotherapy in this population, and real-world survival corresponds to published trial data.

Homologous recombination deficiency associated with response to poly (ADP-ribose) polymerase inhibitors in ovarian cancer patients: The first real-word data from China.

2021 ◽  
Vol 39 (15_suppl) ◽  
pp. e17543-e17543
Author(s):  
Xiaoxiang Chen ◽  
Jing Ni ◽  
Xia Xu ◽  
Wenwen Guo ◽  
Xianzhong Cheng ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
Regression Analysis ◽  
Homologous Recombination ◽  
Cancer Patients ◽  
Real World ◽  
Cox Regression ◽  
Wild Type ◽  
Cox Regression Analysis ◽  
Homologous Recombination Deficiency ◽  
Polymerase Inhibitors

e17543 Background: Homologous recombination deficiency (HRD) is the first phenotypically defined predictive biomarker for Poly (ADP-ribose) polymerase inhibitors (PARPi) in ovarian cancer. However, the proportion of HRD positive in real world and the relationship of HRD status with PARPi in Chinese ovarian cancer patients remains unknown. Methods: A total of sixty-four ovarian cancer patients underwent PARPi, both Olaparib and Niraparib, were enrolled from August 2018 to January 2021 in Jiangsu Institute of Cancer Hospital. HRD score which was the sum of loss of heterozygosity (LOH), telomeric allelic imbalance (TAI) and large-scale state transitions (LST) events were calculated using tumor DNA-based next generation sequencing (NGS) assays. HRD-positive was defined by either BRCA1/2 pathogenic or likely pathogenic mutation or HRD score ≥42. Progression-free survival (PFS) was analyzed with a log-rank test using HRD status and summarized using Kaplan-Meier methodology. Univariate and multiple cox-regression analysis were conducted to investigate all possible clinical factors. Results: 71.9% (46/64) patients were HRD positive and the rest 28.1% (18/64) were HRD negative, which was higher than the HRD positive proportion reported in Western countries. The PFS among HRD positive patients was significantly longer than those HRD negative patients (medium PFS 8.9 m vs 3.6 m, hazard ratio [HR]: 0.22, p < 0.001). Among them, 23 patients who were BRCA wild type but HRD positive had longer PFS than those with BRCA wild type and HRD negative (medium PFS 9.2 m vs 3.6 m, HR: 0.20, p < 0.001). Univariate cox-regression analysis found that HRD status, previous treatment lines, secondary cytoreductive surgery (SCS) were significantly associated with PFS after PARPi treatment. After multiple regression correction, HRD status (HR: 0.39, 95% CI: [0.20-0.76], p = 0.006), ECOG score (HR: 2.53, 95% CI: [1.24-5.17], p = 0.011) and SCS (HR: 2.21, 95% CI: [1.09-4.48], p = 0.028) were the independent factors. Subgroup analysis in ECOG = 0 subgroup (N = 36), HRD positive patients had significant longer PFS than HRD negative patients (medium PFS 10.3 m vs 5.8 m, HR: 0.14, p < 0.001). Also in the subgroup of patients without SCS, PFS in patients with HRD was longer than patients without HRD (medium PFS 10.2 m vs 5.7 m, HR: 0.29, p = 0.003). Conclusions: This is the first real-world data of HRD status in ovarian cancer patients from China and demonstrate that HRD is a valid biomarker for PARP inhibitors in Chinese ovarian cancer patients.

Chromogranine A and neuron-specific enolase as the main predictors of survival for hormone-refractory prostate cancer (HRPC) patients

2007 ◽  
Vol 25 (18_suppl) ◽  
pp. 15594-15594
Author(s):  
A. Banu ◽  
E. Banu ◽  
D. Dionysopoulos ◽  
J. Medioni ◽  
F. Scotte ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Regression Analysis ◽  
Gleason Score ◽  
Cox Regression ◽  
Neuron Specific Enolase ◽  
Cox Regression Analysis ◽  
Risk Of Death ◽  
Metastatic Sites ◽  
Ecog Ps ◽  
The Impact

15594 Background: Clinical studies suggested that the extent of neuro-endocrine differentiation in prostate cancer increases with tumor progression and the development of androgen refractory status. Chromogranine (CgA) and neuron-specific enolase (NSE) are currently explored as surrogate markers. Methods: Eligible chemonaive HRPC patients (pts) were required to have an ECOG performance status (PS) ≤ 2. Before chemotherapy initiation, we quantified NSE, CgA and PSA in the venous blood using commercial kits. We evaluated the impact of baseline NSE, CgA and PSA on overall survival (OS) using multivariate Cox regression analysis, stratified by chemotherapy regimen. Secondary, we studied the correlation between NSE, CgA, PSA and other important variables as age, Gleason score, hemoglobin, number of metastatic sites and ECOG PS. Results: Data of 39 consecutive HRPC pts treated between December 01–06 in a single French center were analyzed. Chemotherapy was docetaxel-based in 92% of pts. Median age was 71 years (range 51–86) and 79% of pts had bone metastases. Elevated NSE, CgA and PSA were observed in 6, 9 and 30% of pts and median levels were 10.8, 67 and 23.3 ng/mL, respectively. Gleason 8–10 was present in 49% of pts. Significant correlations were observed between NSE and the number of metastatic sites and between CgA and age, hemoglobin and ECOG PS. The baseline PSA was only correlated with Gleason score. Median OS for the entire cohort was 24.4 months (95% CI, 18.8–29.9). Two-year OS was 15% and only 19% of patients are dead. Univariate Cox regression analysis showed only a significant relationship between OS and baseline NSE: hazard ratio= 1.09 (95% CI, 1.03–1.16), P=0.006. No other known prognostic factors are related to outcome. A multivariate model including baseline NSE, CgA, ECOG PS and Gleason score showed a 15% rise of the risk of death related to NSE (borderline P value). Conclusions: NSE was the most powerful predictor of survival for HRPC pts. Our results emphasize the theory that cells secreting NSE are chemoresistant, with a negative impact on OS. No significant financial relationships to disclose.

scholarly journals Mortality after use of paclitaxel-based devices in peripheral arteries: a real-world safety analysis

2019 ◽  
Vol 41 (38) ◽  
pp. 3732-3739 ◽  
Author(s):  
Eva Freisinger ◽  
Jeanette Koeppe ◽  
Joachim Gerss ◽  
Dennis Goerlich ◽  
Nasser M Malyar ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Real World ◽  
Cox Regression ◽  
Linear Time ◽  
Bare Metal Stent ◽  
Health Insurance Data ◽  
Cox Regression Analysis ◽  
Drug Eluting ◽  
Long Term Mortality

Abstract Aims Drug-eluting devices (DED) represent a well-established therapy being widely used for endovascular revascularization (EVR) of peripheral vessels. Recent data indicate a two-fold increased long-term mortality in patients treated with paclitaxel-based DED. The subsequent safety concerns affected international regulatory authorities to enunciate several alerts for further application of DED. Methods and results In 9.2 million insurants of the German BARMER Health Insurance, data on the application of paclitaxel-based drug-eluting stents (DES) and drug-coated balloons (DCB) were retrieved from their introduction on the market in 2007 until present. All patients with first EVR between 2007 and 2015 were indexed and followed until 31 December 2017. Each subsequently applied DES, DCB, bare-metal stent, and uncoated balloon was included in further analyses. Multivariable Cox regression analysis considered potential non-linear time-dependent hazard ratios (HRs) of DES and DCB over 11 years. We identified 64 771 patients who underwent 107 112 EVR procedures using 23 137 DED. Multivariable Cox regression analysis showed paclitaxel-based DES not to be associated with increased long-term mortality for over 11 years past application (all P &gt; 0.057). DCB was associated with decreased long-term mortality for the first year past application (HR 0.92; P &lt; 0.001), and indifferent correlation in the years thereafter (all P &gt; 0.202). Conclusion Our real-world analysis showed no evidence for increased mortality associated with paclitaxel-based DED for over 11 years.

Prognostic factors for survival in patients with metastatic malign melanoma treated with ipilimumab: Turkish Oncology Group study

2018 ◽  
Vol 25 (7) ◽  
pp. 1658-1664 ◽  
Author(s):  
Yuksel Urun ◽  
H Arzu Yasar ◽  
Hande Turna ◽  
Ece Esin ◽  
A Murat Sedef ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Prognostic Factors ◽  
Cox Regression ◽  
Survival Rates ◽  
Lactic Dehydrogenase ◽  
Rank Test ◽  
Cox Regression Analysis ◽  
Log Rank Test ◽  
Metastatic Sites ◽  
Ecog Ps

Purpose Studies in the last decade show survival improvement with checkpoint blocker therapy in patients with metastatic malign melanoma. Our purpose was to define the efficacy of ipilimumab according to the patient's baseline characteristics including absolute lymphocytes count. Methods We collected the data of 97 patients with advanced malign melanoma treated with ipilimumab (3 mg/kg, q3w) retrospectively. Log-rank test was used to analyze the univariate effects of patient's characteristics (age, gender, metastatic sites, ECOG PS, type of melanoma, lactic dehydrogenase levels, anemia, lymphocytes (L), neutrophils (N), N/L ratio), c-kit and BRAF status. Survival analyses were estimated with Kaplan–Meier method. Cox regression analysis was used to assess the possible factors identified with log-rank test. Results The median age was 58, and 58% were male and 90% of patients had at least one prior systemic therapy. The median survival was 9.7 months for all patients; and the 12- and 24-month survival rates were 43% and 19%, respectively. Absolute lymphocytes count, lactic dehydrogenase level, bone metastasis, the number of metastatic sites, and RECIST response were significantly related to survival. After Cox regression analysis, RECIST response (complete or partial response), absolute lymphocytes count (more than 1500/mm3) and the number of metastatic sites (less than three sites) remained as significant independent prognostic factors for longer survival. Conclusion Ipilimumab improved survival of patients with metastatic malign melanoma. However, patients with fewer metastatic sites and higher absolute lymphocytes count have a significantly better benefit. To determine if these markers could be used to direct patient therapy, further validation analysis is needed.

Red Blood Cell Indices in Relation to Post-stroke Psychiatric Disorders: A Longitudinal Study in a Follow-up Stroke Clinic

2020 ◽  
Vol 17 (3) ◽  
pp. 218-223
Author(s):  
Haichao Wang ◽  
Li Gong ◽  
Xiaomei Xia ◽  
Qiong Dong ◽  
Aiping Jin ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Ischemic Stroke ◽  
Blood Cell ◽  
Cox Regression ◽  
Depression And Anxiety ◽  
Cox Regression Analysis ◽  
Post Stroke ◽  
Rbc Indices ◽  
Post Stroke Depression

Background: Depression and anxiety after stroke are common conditions that are likely to be neglected. Abnormal red blood cell (RBC) indices may be associated with neuropsychiatric disorders. However, the association of RBC indices with post-stroke depression (PSD) and poststroke anxiety (PSA) has not been sufficiently investigated. Methods: We aimed to investigate the trajectory of post-stroke depression and anxiety in our follow- up stroke clinic at 1, 3, and 6 months, and the association of RBC indices with these. One hundred and sixty-two patients with a new diagnosis of ischemic stroke were followed up at 1, 3, and 6 months, and underwent Patient Health Questionnaire-9 (PHQ-9) and the general anxiety disorder 7-item (GAD-7) questionnaire for evaluation of depression and anxiety, respectively. First, we used Kaplan-Meier analysis to investigate the accumulated incidences of post-stroke depression and post-stroke anxiety. Next, to explore the association of RBC indices with psychiatric disorders after an ischemic stroke attack, we adjusted for demographic and vascular risk factors using multivariate Cox regression analysis. Results: Of the 162 patients with new-onset of ischemic stroke, we found the accumulated incidence rates of PSD (1.2%, 17.9%, and 35.8%) and PSA (1.2%, 13.6%, and 15.4%) at 1, 3, and 6 months, respectively. The incident PSD and PSA increased 3 months after a stroke attack. Multivariate Cox regression analysis indicated independent positive associations between PSD risk and higher mean corpuscular volume (MCV) (OR=1.42, 95% CI=1.16-1.76), older age (OR=2.63, 95% CI=1.16-5.93), and a negative relationship between male sex (OR=0.95, 95% CI=0.91-0.99) and PSA. Conclusion: The risks of PSD and PSA increased substantially 3 months beyond stroke onset. Of the RBC indices, higher MCV, showed an independent positive association with PSD.

scholarly journals Identification and development of an independent immune-related genes prognostic model for breast cancer

BMC Cancer ◽  
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Lin Chen ◽  
Yuxiang Dong ◽  
Yitong Pan ◽  
Yuhan Zhang ◽  
Ping Liu ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Regression Analysis ◽  
Cox Regression ◽  
Gene Set Enrichment Analysis ◽  
Risk Scores ◽  
Validation Dataset ◽  
Immune Gene ◽  
Cox Regression Analysis ◽  
Immune Genes ◽  
Immune Related Genes

Abstract Background Breast cancer is one of the main malignant tumors that threaten the lives of women, which has received more and more clinical attention worldwide. There are increasing evidences showing that the immune micro-environment of breast cancer (BC) seriously affects the clinical outcome. This study aims to explore the role of tumor immune genes in the prognosis of BC patients and construct an immune-related genes prognostic index. Methods The list of 2498 immune genes was obtained from ImmPort database. In addition, gene expression data and clinical characteristics data of BC patients were also obtained from the TCGA database. The prognostic correlation of the differential genes was analyzed through Survival package. Cox regression analysis was performed to analyze the prognostic effect of immune genes. According to the regression coefficients of prognostic immune genes in regression analysis, an immune risk scores model was established. Gene set enrichment analysis (GSEA) was performed to probe the biological correlation of immune gene scores. P < 0.05 was considered to be statistically significant. Results In total, 556 immune genes were differentially expressed between normal tissues and BC tissues (p < 0. 05). According to the univariate cox regression analysis, a total of 66 immune genes were statistically significant for survival risk, of which 30 were associated with overall survival (P < 0.05). Finally, a 15 immune genes risk scores model was established. All patients were divided into high- and low-groups. KM survival analysis revealed that high immune risk scores represented worse survival (p < 0.001). ROC curve indicated that the immune genes risk scores model had a good reliability in predicting prognosis (5-year OS, AUC = 0.752). The established risk model showed splendid AUC value in the validation dataset (3-year over survival (OS) AUC = 0.685, 5-year OS AUC = 0.717, P = 0.00048). Moreover, the immune risk signature was proved to be an independent prognostic factor for BC patients. Finally, it was found that 15 immune genes and risk scores had significant clinical correlations, and were involved in a variety of carcinogenic pathways. Conclusion In conclusion, our study provides a new perspective for the expression of immune genes in BC. The constructed model has potential value for the prognostic prediction of BC patients and may provide some references for the clinical precision immunotherapy of patients.

scholarly journals The Role of Hydraulic Silicate Cements on Long-Term Properties and Biocompatibility of Partial Pulpotomy in Permanent Teeth

Materials ◽  
2021 ◽  
Vol 14 (2) ◽  
pp. 305
Author(s):  
Chung-Min Kang ◽  
Saemi Seong ◽  
Je Seon Song ◽  
Yooseok Shin
Keyword(s):  
Regression Analysis ◽  
Cox Regression ◽  
Antimicrobial Properties ◽  
Permanent Teeth ◽  
Success Rates ◽  
Pulp Tissue ◽  
Cox Regression Analysis ◽  
Clinical Variables

The use of hydraulic silicate cements (HSCs) for vital pulp therapy has been found to release calcium and hydroxyl ions promoting pulp tissue healing and mineralized tissue formation. The present study investigated whether HSCs such as mineral trioxide aggregate (MTA) affect their biological and antimicrobial properties when used as long-term pulp protection materials. The effect of variables on treatment outcomes of three HSCs (ProRoot MTA, OrthoMTA, and RetroMTA) was evaluated clinically and radiographically over a 48–78 month follow-up period. Survival analysis was performed using Kaplan–Meier survival curves. Fisher’s exact test and Cox regression analysis were used to determine hazard ratios of clinical variables. The overall success rate of MTA partial pulpotomy was 89.3%; Cumulative success rates of the three HSCs were not statistically different when analyzed by Cox proportional hazard regression analysis. None of the investigated clinical variables affected success rates significantly. These HSCs showed favorable biocompatibility and antimicrobial properties in partial pulpotomy of permanent teeth in long-term follow-up, with no statistical differences between clinical factors.

scholarly journals The prognostic and diagnostic significance of the neutrophil-to-lymphocyte ratio in hepatocellular carcinoma: a prospective controlled study

2021 ◽  
Author(s):  
Philip J. Johnson ◽  
Sofi Dhanaraj ◽  
Sarah Berhane ◽  
Laura Bonnett ◽  
Yuk Ting Ma
Keyword(s):  
Hepatocellular Carcinoma ◽  
Regression Analysis ◽  
Prognostic Factor ◽  
Cox Regression ◽  
Prognostic Models ◽  
Controlled Study ◽  
Cox Regression Analysis ◽  
Neutrophil Lymphocyte Ratio ◽  
Lymphocyte Ratio ◽  
Significant Difference

Abstract Background The neutrophil–lymphocyte ratio (NLR), a presumed measure of the balance between neutrophil-associated pro-tumour inflammation and lymphocyte-dependent antitumour immune function, has been suggested as a prognostic factor for several cancers, including hepatocellular carcinoma (HCC). Methods In this study, a prospectively accrued cohort of 781 patients (493 HCC and 288 chronic liver disease (CLD) without HCC) were followed-up for more than 6 years. NLR levels between HCC and CLD patients were compared, and the effect of baseline NLR on overall survival amongst HCC patients was assessed via multivariable Cox regression analysis. Results On entry into the study (‘baseline’), there was no clinically significant difference in the NLR values between CLD and HCC patients. Amongst HCC patients, NLR levels closest to last visit/death were significantly higher compared to baseline. Multivariable Cox regression analysis showed that NLR was an independent prognostic factor, even after adjustment for the HCC stage. Conclusion NLR is a significant independent factor influencing survival in HCC patients, hence offering an additional dimension in prognostic models.

scholarly journals The Investigation of Associations between TP53 rs1042522, BBC3 rs2032809, CCND1 rs9344, EGFR rs2227983 Polymorphisms and Breast Cancer Phenotype and Prognosis

Diagnostics ◽  
2021 ◽  
Vol 11 (8) ◽  
pp. 1419
Author(s):  
Justina Bekampytė ◽  
Agnė Bartnykaitė ◽  
Aistė Savukaitytė ◽  
Rasa Ugenskienė ◽  
Erika Korobeinikova ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Regression Analysis ◽  
Cox Regression ◽  
Cancer Prognosis ◽  
Nucleotide Polymorphisms ◽  
Single Nucleotide ◽  
Cox Regression Analysis ◽  
Pcr Rflp ◽  
Oncological Diseases ◽  
Cancer Phenotype

Breast cancer is one of the most common oncological diseases among women worldwide. Cell cycle and apoptosis—related genes TP53, BBC3, CCND1 and EGFR play an important role in the pathogenesis of breast cancer. However, the roles of single nucleotide polymorphisms (SNPs) in these genes have not been fully defined. Therefore, this study aimed to analyze the association between TP53 rs1042522, BBC3 rs2032809, CCND1 rs9344 and EGFR rs2227983 polymorphisms and breast cancer phenotype and prognosis. For the purpose of the analysis, 171 Lithuanian women were enrolled. Genomic DNA was extracted from peripheral blood; PCR-RFLP was used for SNPs analysis. The results showed that BBC3 rs2032809 was associated with age at the time of diagnosis, disease progression, metastasis and death. CCND1 rs9344 was associated with tumor size, however an association resulted in loss of significance after Bonferroni correction. In survival analysis, significant associations were observed between BBC3 rs2032809 and OS, PFS and MFS. EGFR rs2227983 also showed some associations with OS and PFS (univariate Cox regression analysis). However, the results were in loss of significance (multivariate Cox regression analysis). In conclusion, BBC3 rs2032809 polymorphism was associated with breast cancer phenotype and prognosis. Therefore, it could be applied as potential markers for breast cancer prognosis.

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