Modelling prognostic factors in advanced pancreatic cancer.
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ABSTRACT:
SUBMITTER: Stocken DD
PROVIDER: S-EPMC2538756 | biostudies-other | 2008 Sep
REPOSITORIES: biostudies-other
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Project description:Pancreatic cancer is one of the leading causes of cancer death worldwide. Its high mortality rate has remained unchanged for years. Radiotherapy and surgery are considered standard treatments in early and locally advanced stages. Chemotherapy is the only option for metastatic patients. Two treatment regimens, i. e. the association of 5-fluorouracil- irinotecan-oxaliplatin (FOLFIRINOX) and the association of nab-paclitaxel with gemcitabine, have been shown to improve outcomes for metastatic pancreatic adenocarcinoma patients. However, there are not standardized predictive biomarkers able to identify patients who benefit most from treatments. CA19-9 is the most studied prognostic biomarker, its predictive role remains unclear. Other clinical, histological and molecular biomarkers are emerging in prognostic and predictive settings. The aim of this review is to provide an overview of prognostic and predictive markers used in clinical practice and to explore the most promising fields of research in terms of treatment selection and tailored therapy in pancreatic cancer.
| S-EPMC7075465 | biostudies-literature
Project description:PurposeImpaired glucose metabolism is present in most patients with pancreatic ductal adenocarcinoma (PDAC). Whereas previous studies have focused on pre-treatment glycemic indices and prognosis in those with concomitant diabetes, the effects of glycemic control during chemotherapy treatment on prognosis, in patients with and without diabetes, have not been well characterized. We examined the relationship between early glycemic control and overall survival (OS) in a cohort of patients with advanced PDAC treated in a community setting.Patients and methodsSeventy-three patients with advanced PDAC (38% with diabetes) receiving chemotherapy while participating in a biobanking clinical trial were included. Clinical characteristics and laboratory results during 1 year were obtained from the electronic medical record. Kaplan-Meier estimate, log-rank test and hazard ratios were computed to assess the effect of glycemic control on OS. The Cox proportional hazards regression model was applied to ascertain the significance of glycemic control with other survival variables.ResultsOne thousand four hundred eighteen random blood glucose (RBG) values were analyzed. In accord with previous findings, a 50% decline in the serum tumor marker CA 19-9 at any time was predictive of survival (P=0.0002). In univariate analysis, an elevated pre-treatment average RBG, 3-month average RBG (RBG-3) and the FOLFIRINOX regimen were associated with longer survival. Based on ROC analysis (AUC=0.82), an RBG-3 of 120 mg/dl was determined to be the optimal cutoff to predict 12-month survival. In multivariate analysis that included age, stage, BMI, performance status, presence of diabetes, and chemotherapy regimen, only RBG-3 maintained significance: an RBG-3 ≤120 mg/dl predicted for improved OS compared to >120 mg/dl (19 vs. 9 months; HR=0.37, P=0.002). In contrast, an early decline in CA 19-9 could not predict OS.ConclusionLower glucose levels during the first 3 months of treatment for advanced PDAC predict for improved OS in patients both with and without diabetes. These results suggest that RBG-3 may be a novel prognostic biomarker worthy of confirmation in a larger patient cohort and that studies exploring a possible cause and effect of this novel survival-linked relationship are warranted.
| S-EPMC7947820 | biostudies-literature
Project description:BACKGROUND: Pancreatic cancer is the fifth leading cause of cancer-related deaths in the world. Operative resection is the only therapeutic option with curative potential for this disease. OBJECTIVE: The aim of the present study was to correlate clinical and pathologic parameters with survival in patients submitted to pancreatic resection for pancreatic adenocarcinoma. METHODS: Surgical resection with curative intent (R0 and R1 resections) was performed in 65 pancreatic cancer patients between 1990 and 2006. The overall results of surgical treatment were retrospectively analyzed and compared with the clinicopathologic features of these patients. RESULTS: Pylorus-preserving pancreatoduodenectomy was performed in 37 patients (56.9%), classic resection in 35.4%, distal pancreatectomy in 4.6% and total pancreatectomy in 3.6%. The inhospital mortality was 5% (three patients). Postoperative complications occurred in 28 patients (43%). Mean survival and five-year survival rate after curative resection were 27 months and 9.0%, respectively. Sex, TNM stage, tumor differentiation, neural invasion, tumor size and involvement of resection margin were significant prognostic factors on univariate analysis. Multivariate analysis showed tumor differentiation and neural invasion as prognostic factors. CONCLUSION: Patients with pancreatic cancer, even those with poor prognostic factors should be given the opportunity of surgical resection with curative intent.
| S-EPMC2575675 | biostudies-other
Project description:Background/Aims:We investigated whether inflammatory markers such as neutrophil-lymphocyte ratio (NLR) and platelet-lymphocyte ratio (PLR) independently and in combination would be significant prognostic factors for survival in patients with locally advanced pancreatic cancer. Methods:A total of 497 patients with locally advanced pancreatic cancer who received neoadjuvant or definitive chemoradiotherapy from 2005 to 2015 were evaluated. We divided the patients into groups according to the median values of NLR and PLR: NLR?1.89 (n=156), NLR?1.89 (n=341), PLR ?149 (n=248) and PLR ?149 (n=249). Results:For NLR ?1.89 and ?1.89 groups, respectively, the 1-year overall survival (OS) rates were 73.2% and 60.8% (p?0.001) and 1-year progression-free survival (PFS) rates were 43.9% and 31.3% (p?0.001). For PLR ?149 and ?149 groups, respectively, the 1-year OS rates were 68.1% and 61.3% (p=0.029) and 1-year PFS rates were 37.9% and 32.5% (p=0.027). Patients with both high NLR and high PLR showed the worst OS and PFS rates compared with those with both lower NLR and lower PLR. Conclusions:Elevated pretreatment NLR and PLR independently and in combination significantly predicted poor OS and PFS.
| S-EPMC5945266 | biostudies-literature
Project description:BackgroundPancreatic cancer is one of the most common malignant cancers worldwide. Currently, the pathogenesis of pancreatic cancer remains unclear; thus, it is necessary to explore its precise molecular mechanisms.MethodsTo identify candidate genes involved in the tumorigenesis and proliferation of pancreatic cancer, the microarray datasets GSE32676, GSE15471 and GSE71989 were downloaded from the Gene Expression Omnibus (GEO) database. Differentially expressed genes (DEGs) between Pancreatic ductal adenocarcinoma (PDAC) and nonmalignant samples were screened by GEO2R. The Database for Annotation Visualization and Integrated Discovery (DAVID) online tool was used to obtain a synthetic set of functional annotation information for the DEGs. A PPI network of the DEGs was established using the Search Tool for the Retrieval of Interacting Genes (STRING) database, and a combination of more than 0.4 was considered statistically significant for the PPI. Subsequently, we visualized the PPI network using Cytoscape. Functional module analysis was then performed using Molecular Complex Detection (MCODE). Genes with a degree ≥10 were chosen as hub genes, and pathways of the hub genes were visualized using ClueGO and CluePedia. Additionally, GenCLiP 2.0 was used to explore interactions of hub genes. The Literature Mining Gene Networks module was applied to explore the cocitation of hub genes. The Cytoscape plugin iRegulon was employed to analyze transcription factors regulating the hub genes. Furthermore, the expression levels of the 13 hub genes in pancreatic cancer tissues and normal samples were validated using the Gene Expression Profiling Interactive Analysis (GEPIA) platform. Moreover, overall survival and disease-free survival analyses according to the expression of hub genes were performed using Kaplan-Meier curve analysis in the cBioPortal online platform. The relationship between expression level and tumor grade was analyzed using the online database Oncomine. Lastly, the eight snap-frozen tumorous and adjacent noncancerous adjacent tissues of pancreatic cancer patients used to detect the CDK1 and CEP55 protein levels by western blot.ConclusionsAltogether, the DEGs and hub genes identified in this work can help uncover the molecular mechanisms underlying the tumorigenesis of pancreatic cancer and provide potential targets for the diagnosis and treatment of this disease.
| S-EPMC7301898 | biostudies-literature
Project description:BackgroundPancreatic ductal adenocarcinoma (PDAC) detains a dismal prognosis and has a limited number of prognostic factors. Inflammation has been demonstrated to play a key role both in PDAC initiation and progression and several inflammation-based prognostic scores have been investigated in a wide range of malignancies. We compared the most analyzed inflammation-based prognostic scores in order to establish their potential impact on prediction of the outcome in advanced PDAC patients.MethodsA total of 234 advanced PDAC patients undergoing first-line chemotherapy in our institute were retrospectively analyzed. Baseline clinicopathological and pre-treatment laboratory data were collected. Survival was estimated using Kaplan-Meier method and survival differences were evaluated using the log-rank test. Level of statistical significance P was set at 0.05. Only those variables that proved to be associated with statistically significant differences in outcome were compared in multivariate analysis using multiple Cox regression, as to identify their independent role and their relative power against each other.ResultsIn the whole cohort, median overall survival (OS) was 8.7 months (95% CI: 7.8-9.4 months), median progression-free survival (PFS) was 3.8 months (95% CI: 3.1-4.2 months). At univariate analysis high systemic immune-inflammation index (SII) was related to shorter OS [hazard ratio (HR) =2.04, 95% CI: 1.59-4.19, P=0.0001] and PFS (HR =1.52, 95% CI: 1.11-2.20, P=0.01). This was maintained at multivariate analysis both for OS (HR =2.11, 95% CI: 1.29-3.46, P=0.003) and PFS (HR =1.64, 95% CI: 1.14-2.37, P=0.008), whereas other inflammation-based scores lost their independent role. Elevated SII (≥1,200) was associated with low albumin levels (P=0.03) and with elevated lactate dehydrogenase (LDH) (P=0.01).ConclusionsElevated SII represents an independent negative prognostic factor above all others for both OS and PFS in advanced PDAC patients treated with first-line chemotherapy, thus confirming a pivotal role of systemic inflammation on PDAC progression and on patient outcome.
| S-EPMC7940927 | biostudies-literature
Project description:BackgroundSystemic inflammatory scores may aid prognostication and patient selection for trials. We compared five scores in advanced pancreatic adenocarcinoma (PDAC).MethodsUnresectable/metastatic PDAC patients enrolled in the Comprehensive Molecular Characterisation of Advanced Pancreatic Ductal Adenocarcinoma for Better Treatment Selection trial (NCT02750657) were included. Patients had pre-treatment biopsies for whole genome and RNA sequencing. CD8 immunohistochemistry was available in a subset. The neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio, Prognostic Nutritional Index, Gustave Roussy Immune Score (GRIm-S), and Memorial Sloan Kettering Prognostic Score (MPS) were calculated. Overall survival (OS) was estimated using Kaplan-Meier methods. Associations between inflammatory scores, clinical/genomic characteristics, and OS were analysed.ResultsWe analysed 263 patients. High-risk NLR, GRIm-S and MPS were poorly prognostic. The GRIm-S had the highest predictive ability: median OS 6.4 vs. 10 months for high risk vs. low-risk (P < 0.001); HR 2.26 (P < 0.001). ECOG ≥ 1, the basal-like subtype, and low-HRDetect were additional poor prognostic factors (P < 0.01). Inflammatory scores did not associate with RNA-based classifiers or homologous recombination repair deficiency genotypes. High-risk MPS (P = 0.04) and GRIm-S (P = 0.02) patients had lower median CD8 + tumour-infiltrating lymphocytes.ConclusionsInflammatory scores incorporating NLR have prognostic value in advanced PDAC. Understanding immunophenotypes of poor-risk patients and using these scores in trials will advance the field.
| S-EPMC10147590 | biostudies-literature
Project description:The goal of this study is to find a molecular signature that can predict response or resistance to Gemcitabine + Nab-paclitaxel therapy in pancreatic cancer (PC), to aid treatment selection for each patient. To this end, we analyzed blood-derived extracellular vesicles (EV).
2023-05-22 | GSE213341 | GEO
Project description:BackgroundRadical resection is an effective therapeutic method to increase the survival rate of patients with gallbladder cancer (GBC). In addition to the surgical approach, the relationships between various clinicopathologic factors and the outcome of patients with GBC remain controversial.MethodsClinical and laboratory examination characteristics, pathological and surgical data, and post-operative survival time of 338 patients with advanced GBC who received treatment at the First Affiliated Hospital of Xi'an Jiaotong University, China from January 2008 to December 2012 were analyzed retrospectively. Factors influencing the prognosis of GBC after surgery were analyzed by univariate and multivariate analysis.ResultsThe overall survival rates for curative resection patients were significantly greater than those for non-curative resection patients (1-,3-,5-year survival rate and mean-survival time: 59.0%, 47.3%, 44.3% and 22.0 months vs. 12.7%, 8.3%, 7.7% and 3.0 months) (P < 0.001). For the curative resection patients, positive margin, lymph node metastasis, poorly pathological differentiation and the presence of ascites were all independent risk factors for poor prognosis. For patients with T3 stage, neither segmentectomy of IVb and V nor common bile duct resection improved the prognosis (P = 0.867 and P = 0.948). For patients with T4 stage, aggressive curative resection improved the prognosis (P = 0.007).ConclusionsAn advanced T stage does not preclude curative resection. Positive margin, lymph node metastasis, poorly pathological differentiation and the presence of ascites are all independent risk factors for poor prognosis in the curative intent resection patients. The range of liver resection and whether common bile duct resection is performed do not influence the prognosis as long as R0 resection is achieved.
| S-EPMC5112857 | biostudies-literature
Project description:BackgroundThe management of locally advanced pancreatic cancer (LAPC) patients remains controversial. Better discrimination for overall survival (OS) at diagnosis is needed. We address this issue by developing and validating a prognostic nomogram and a score for OS in LAPC (PROLAP).MethodsAnalyses were derived from 442 LAPC patients enrolled in the LAP07 trial. The prognostic ability of 30 baseline parameters was evaluated using univariate and multivariate Cox regression analyses. Performance assessment and internal validation of the final model were done with Harrell's C-index, calibration plot and bootstrap sample procedures. On the basis of the final model, a prognostic nomogram and a score were developed, and externally validated in 106 consecutive LAPC patients treated in Besançon Hospital, France.ResultsAge, pain, tumour size, albumin and CA 19-9 were independent prognostic factors for OS. The final model had good calibration, acceptable discrimination (C-index=0.60) and robust internal validity. The PROLAP score has the potential to delineate three different prognosis groups with median OS of 15.4, 11.7 and 8.5 months (log-rank P<0.0001). The score ability to discriminate OS was externally confirmed in 63 (59%) patients with complete clinical data derived from a data set of 106 consecutive LAPC patients; median OS of 18.3, 14.1 and 7.6 months for the three groups (log-rank P<0.0001).ConclusionsThe PROLAP nomogram and score can accurately predict OS before initiation of induction chemotherapy in LAPC-untreated patients. They may help to optimise clinical trials design and might offer the opportunity to define risk-adapted strategies for LAPC management in the future.
| S-EPMC4973163 | biostudies-literature