Evaluation of Early Prognostic Factors in Patients With Pancreatic Ductal Adenocarcinoma Receiving Gemcitabine Together With Nab-paclitaxel

2021 ◽  
Vol 1 (5) ◽  
pp. 399-409
Author(s):  
WATARU IZUMO ◽  
RYOTA HIGUCHI ◽  
TORU FURUKAWA ◽  
TAKEHISA YAZAWA ◽  
SHUICHIRO UEMURA ◽  
...  

Background: Gemcitabine together with nab-paclitaxel (GnP) has been shown to improve outcomes in patients with pancreatic ductal adenocarcinoma (PDAC). However, the predictive markers for treatment effects remain unclear. This study aimed to identify early prognostic factors in patients with PDAC receiving GnP. Patients and Methods: We analyzed 113 patients who received GnP for PDAC and evaluated the relationship between clinical factors and outcomes. Results: The median survival time (MST) was 1.2 years. In multivariate analysis, baseline carbohydrate antigen 19-9 (CA19-9) ≥747 U/ml [hazard ratio (HR)=1.9], baseline controlling nutrition status (CONUT) score ≥5 (HR=3.7) and changing rate of CA19-9 after two GnP cycles ≥0.69 (HR=3.7) were independent risk factors for poor prognosis. When examining outcomes according to pre-chemotherapeutic measurable factors (baseline CA19-9 and CONUT), the MSTs of patients with pre-chemotherapeutic zero risk factors (pre-low-risk group, n=63) and one or more risk factors (pre-high-risk group, n=50) were 1.7 and 0.65 years (p<0.001), respectively. The MST for those with a changing rate of CA19-9 after two GnP cycles <0.69 and ≥0.69 was significantly different in both groups (2.0 and 1.2 years in the pre-low-risk group, p<0.001; 1.0 and 0.52 years in the pre-high-risk group, p<0.001). Conclusion: These results may be useful for decision-making regarding treatment strategies in patients with PDAC receiving GnP.

2021 ◽  
Vol 12 ◽  
Author(s):  
Wenjing Song ◽  
Xin He ◽  
Pengju Gong ◽  
Yan Yang ◽  
Sirui Huang ◽  
...  

Objective: Pancreatic ductal adenocarcinoma (PDAC) is highly lethal. Although progress has been made in the treatment of PDAC, its prognosis remains unsatisfactory. This study aimed to develop novel prognostic genes related to glycolysis in PDAC and to apply these genes to new risk stratification.Methods: In this study, based on the Cancer Genome Atlas (TCGA) PAAD cohort, the expression level of glycolysis-related gene at mRNA level in PAAD and its relationship with prognosis were analyzed. Non-negative matrix decomposition (NMF) clustering was used to cluster PDAC patients according to glycolytic genes. Prognostic glycolytic genes, screened by univariate Cox analysis and LASSO regression analysis were established to calculate risk scores. The differentially expressed genes (DEGs) in the high-risk group and the low-risk group were analyzed, and the signal pathway was further enriched to analyze the correlation between glycolysis genes. In addition, based on RNA-seq data, CIBERSORT was used to evaluate the infiltration degree of immune cells in PDAC samples, and ESTIMATE was used to calculate the immune score of the samples.Results: A total of 319 glycolysis-related genes were retrieved, and all PDAC samples were divided into two clusters by NMF cluster analysis. Survival analysis showed that PDAC patients in cluster 1 had shorter survival time and worse prognosis compared with cluster 2 samples (P &lt; 0.001). A risk prediction model based on 11 glycolysis genes was constructed, according to which patients were divided into two groups, with significantly poorer prognosis in high-risk group than in low-risk group (P &lt; 0.001). Both internal validation and external dataset validation demonstrate good predictive ability of the model (AUC = 0.805, P &lt; 0.001; AUC = 0.763, P &lt; 0.001). Gene aggregation analysis showed that DEGs highly expressed in high-risk group were mainly concentrated in the glycolysis level, immune status, and tumor cell proliferation, etc. In addition, the samples in high-risk group showed immunosuppressed status and infiltrated by relatively more macrophages and less CD8+T cell.Conclusions: These findings suggested that the gene signature based on glycolysis-related genes had potential diagnostic, therapeutic, and prognostic value for PDAC.


BMJ Open ◽  
2020 ◽  
Vol 10 (11) ◽  
pp. e037267
Author(s):  
Dóra Illés ◽  
Emese Ivány ◽  
Gábor Holzinger ◽  
Klára Kosár ◽  
M Gordian Adam ◽  
...  

IntroductionPancreatic ductal adenocarcinoma (PDAC) has a dismal prognosis with an overall 5-year survival of approximately 8%. The success in reducing the mortality rate of PDAC is related to the discovery of new therapeutic agents, and to a significant extent to the development of early detection and prevention programmes. Patients with new-onset diabetes mellitus (DM) represent a high-risk group for PDAC as they have an eightfold higher risk of PDAC than the general population. The proposed screening programme may allow the detection of PDAC in the early, operable stage. Diagnosing more patients in the curable stage might decrease the morbidity and mortality rates of PDAC and additionally reduce the burden of the healthcare.Methods and analysisThis is a prospective, multicentre observational cohort study. Patients ≥60 years old diagnosed with new-onset (≤6 months) diabetes will be included. Exclusion criteria are (1) Continuous alcohol abuse; (2) Chronic pancreatitis; (3) Previous pancreas operation/pancreatectomy; (4) Pregnancy; (5) Present malignant disease and (6) Type 1 DM. Follow-up visits are scheduled every 6 months for up to 36 months. Data collection is based on questionnaires. Clinical symptoms, body weight and fasting blood will be collected at each, carbohydrate antigen 19–9 and blood to biobank at every second visit. The blood samples will be processed to plasma and analysed with mass spectrometry (MS)-based metabolomics. The metabolomic data will be used for biomarker validation for early detection of PDAC in the high-risk group patients with new-onset diabetes. Patients with worrisome features will undergo MRI or endoscopic ultrasound investigation, and surgical referral depending on the radiological findings. One of the secondary end points is the incidence of PDAC in patients with newly diagnosed DM.Ethics and disseminationThe study has been approved by the Scientific and Research Ethics Committee of the Hungarian Medical Research Council (41085-6/2019). We plan to disseminate the results to several members of the healthcare system includining medical doctors, dietitians, nurses, patients and so on. We plan to publish the results in a peer-reviewed high-quality journal for professionals. In addition, we also plan to publish it for lay readers in order to maximalise the dissemination and benefits of this trial.Trial registration numberClinicalTrials.gov NCT04164602


2021 ◽  
Author(s):  
juanjuan Qiu ◽  
Li Xu ◽  
Yu Wang ◽  
Jia Zhang ◽  
Jiqiao Yang ◽  
...  

Abstract Background Although the results of gene testing can guide early breast cancer patients with HR+, HER2- to decide whether they need chemotherapy, there are still many patients worldwide whose problems cannot be solved well by genetic testing. Methods 144 735 patients with HR+, HER2-, pT1-3N0-1 breast cancer from the Surveillance, Epidemiology, and End Results database were included from 2010 to 2015. They were divided into chemotherapy (n = 38 392) and no chemotherapy (n = 106 343) group, and after propensity score matching, 23 297 pairs of patients were left. Overall survival (OS) and breast cancer-specific survival (BCSS) were tested by Kaplan–Meier plot and log-rank test and Cox proportional hazards regression model was used to identify independent prognostic factors. A nomogram was constructed and validated by C-index and calibrate curves. Patients were divided into high- or low-risk group according to their nomogram score using X-tile. Results Patients receiving chemotherapy had better OS before and after matching (p < 0.05) but BCSS was not significantly different between patients with and without chemotherapy after matching: hazard ratio (HR) 1.005 (95%CI 0.897, 1.126). Independent prognostic factors were included to construct the nomogram to predict BCSS of patients without chemotherapy. Patients in the high-risk group (score > 238) can get better OS HR 0.583 (0.507, 0.671) and BCSS HR 0.791 (0.663, 0.944) from chemotherapy but the low-risk group (score ≤ 238) cannot. Conclusion The well-validated nomogram and a risk stratification model was built. Patients in the high-risk group should receive chemotherapy while patients in low-risk group may be exempt from chemotherapy.


2017 ◽  
Vol 27 (7) ◽  
pp. 1387-1392 ◽  
Author(s):  
Jinhong Jung ◽  
Young Seok Kim ◽  
Ji Hyeon Joo ◽  
Won Park ◽  
Jong-Hoon Lee ◽  
...  

ObjectiveThe aim of this study was to investigate the survival, patterns of failure, and prognostic factors in patients with stage II endometrial carcinoma treated with adjuvant radiotherapy.MethodsWe reviewed the medical records of patients who underwent total hysterectomy, bilateral salpingo-oophorectomy, and pelvic lymph node dissection followed by adjuvant radiotherapy in 10 participating hospitals of the Korean Radiation Oncology Group. Most patients received adjuvant external beam radiation therapy, with a median dose of 50.4 Gy; approximately 50% of these patients received an additional brachytherapy boost, with a median dose of 18 Gy. Adjuvant chemotherapy was administered to 19 patients.ResultsA total of 122 patients were examined. Over a median follow-up period of 62.7 months (range, 1.9–158.8 months), the 5-year overall survival (OS) and disease-free survival rates were found to be 91.1% and 85.1%, respectively. Recurrence was observed in 14 patients (11.5%), including 3 with local recurrence and 11 with distant metastases as the first site of recurrence. Univariate analysis indicated that lymphovascular invasion was related to an unfavorable OS. An age of 60 years or above, histologic grade 3, and lymphovascular invasion were identified as risk factors for OS. Because there were several risk factors related to OS, we assigned patients to a high-risk group (defined as cases with ≥1 risk factors) and a low-risk group. The 5-year OS rate of the high-risk group was significantly inferior to that of the low-risk group (82.9% vs 100%, P = 0.003).ConclusionsThe high-risk group had a significantly poorer survival rate than the low-risk group, and distant metastasis was the main pattern of recurrence, thus indicating that further adjuvant chemotherapy should be considered in high-risk patients.


2019 ◽  
Vol 5 (suppl) ◽  
pp. 98-98
Author(s):  
Sushma Agrawal ◽  
Prabhakar Mishra ◽  
Punita Lal ◽  
Gaurav Agarwal ◽  
Amit Agarwal ◽  
...  

98 Background: Complete response (CR) to NACT portends favorable long term outcomes in LABC. There is a need for a tool to risk categorise patients for recurrence risk (RR), so that intensification of treatment can be offered to women with high risk of recurrence. Methods: A prospectively maintained database of LABC (between January 2007 to December 2012), who received NACT followed by definitive surgery, radiotherapy and endocrine therapy in endocrine sensitive disease was retrospectively analyzed for clinico-pathological and treatment factors affecting disease free survival (DFS). A risk scoring model was developed on the basis of beta coefficients of identified independent risk factors for DFS. Results: The incidence of loco-regional relapse was 8% and that of distant metastases was 32% in a dataset of 206 patients at a median follow-up of 47 months (IQR 24-62 mo). The independent risk factors for recurrence were index T stage [HR 1.8 (0.9-3.6)], N stage [HR 1.7 (0.4 – 4.7)], grade [HR 1.8 (0.8-4.2)], age less than and more than 40 years [HR 1.6 (0.4-0.9)], pathologic CR [HR 4.3 (1.7- 10.7)], intrinsic subtype [HR 2.2 (1.3-3.7)], and type of surgery (BCS vs MRM) [HR 2.2 (1.3-3.6)]. The ROC of the model for the prediction of recurrence was 0.67 (95 % CI: 0.61-0.75). The results of this model were validated by dividing the population into 3 risk groups: low risk (score less than 12), intermediate risk group (score between 13-15), high risk group (score 16 or more). The chances of recurrence are 16% versus 34% versus 57% in low, intermediate and high risk group respectively. Presence of three risk factors implies low risk, five intermediate and more than five high risk. Conclusions: The risk scoring model developed by us predicts RR and can be used for selecting patients for treatment intensification in high risk category.


Blood ◽  
1979 ◽  
Vol 54 (6) ◽  
pp. 1249-1257 ◽  
Author(s):  
JP Litam ◽  
F Cabanillas ◽  
TL Smith ◽  
GP Bodey ◽  
EJ Freireich

Abstract The records of 292 patients with malignant lymphoma other than Hodgkin's disease, registered in our protocols from 1967 to 1977, were reviewed to identify those with central nervous system (CNS) involvement. Thirty-one patients were encountered with this complication, an incidence of 11%. Patients with a diffuse histology had a higher frequency of CNS recurences (27/174 = 16%) in contrast to only 4/118 (3%) for those with nodular types. However, if only patients with diffuse histology in CR are considered, the frequency of CNS relapse is 13.5% (13/98). The risk factors that predict for the development of this complication were studied using multivariate analysis. Diffuse poorly differentiated lymphocytic and diffuse undifferentiated lymphomas were found to be associated with a high risk of CNS relapse. Prior chemotherapy, bone marrow involvement, age less than 35, and extranodal disease were also identified as high-risk factors. Using the information generated by a logistic regression model, patients with malignant lymphoma of diffuse type can be classified into three categories when first seen: low-risk group, intermediate, and high-risk group. CNS prophylaxis is recommended for the intermediate and high-risk group, while only close follow-up is advised for the low-risk group patients who have one adverse characteristic.


2014 ◽  
Vol 32 (3_suppl) ◽  
pp. 156-156
Author(s):  
Pengfei Yu

156 Background: Postoperative adjuvant chemotherapy was beneficial for some patients,however, it may increase the treatment burden and reduce the immunity of other patients. Screening appropriate patients based on molecular markers for individualized adjuvant chemotherapy was necessary. Methods: Between June 2002 to June 2004, 119 patients who underwent radical gastrectomy were retrospectively analyzed. 61 patients had adjuvant chemotherapy based on platinum and 5-FU for 4 to 6 cycles. ToPo II negative, MRP positive and GST-π positive were regarded as three risk factors which may be associated with chemotherapy resistance and poor prognosis. Patients were divided into two groups: high-risk group (≥2 risk factors) and the low-risk group (<2 risk factors), and the tumor recurrence and patients’ survival time of the two groups were analyzed. Results: The average recurrence time of the low-risk group was significantly longer than that of the high-risk group (21.29 ± 11.10 VS 15.16 ± 8.05 months ,p<0.01).The 3-year and 5-year survival rate of the high-risk group was 57.4% and 42.6%, however, it had no significant difference compared to 66.2% and 58.5% of the low-risk group (P> 0.05). In the high-risk group, the 3-year survival rate of patients with/without chemotherapy were 62.1% and 52.0%, 5-year survival rates were 44.8% and 40.0%, but the difference was not statistically significant (P> 0.05). In the low-risk group, the 3-year survival rate of patients with/without chemotherapy were 81.2% and 51.5%, 5-year survival rates were 71.9% and 45.5%, and the difference was statistically significant (p<0.05). Conclusions: Combined determination of MDR-related proteins ToPo II, MRP and GST-π may be prospectively valuable for optimizing the chemotherapy regimes, and further predicting the outcomes of gastric cancer patients.


2020 ◽  
Vol 38 (15_suppl) ◽  
pp. 8045-8045
Author(s):  
Ralf Ulrich Trappe ◽  
Christian Koenecke ◽  
Martin H. Dreyling ◽  
Christiane Pott ◽  
Ulrich Duehrsen ◽  
...  

8045 Background: The PTLD-1 trials have established risk-stratified sequential treatment of B-cell PTLD. After rituximab induction, patients (pts) in complete remission (25 %) received rituximab consolidation, while all others received R-CHOP. The PTLD-2 trial tests modified risk-stratification including clinical risk factors. These are the results of the 2nd scheduled interim analysis (40/60 planned pts). Methods: The prospective, multicenter phase II PTLD-2 trial (NCT02042391) enrols treatment-naïve adult SOT recipients with CD20-positive PTLD. Key exclusion criteria are CNS involvement, ECOG > 2, pregnancy, and severe organ dysfunction or severe, active infection. Treatment consists of rituximab (1400 mg SC; first application 375 mg/m2 IV) on days 1, 8, 15 and 22. After restaging, pts in CR as well as those in PR with ≤ 2 IPI risk factors at diagnosis (low-risk group) continue with four three-weekly courses of rituximab. Most other pts (high-risk group) receive 4 cycles of R-CHOP-21, while thoracic SOT recipients who progress under rituximab (very-high-risk group) receive six cycles of alternating R-CHOP-21 and R-DHAOx. The primary endpoint (event-free survival in the low-risk group) is not analyzed here. Secondary endpoints presented here are response and overall response (ORR) by computed tomography, overall survival (OS), time to progression (TTP) and treatment-related mortality (TRM) overall and by risk group. Results: 40 pts were recruited at 12 centers (2015 – 2019). 21/40 were kidney, 11 lung, 4 liver, 3 heart, and 1 liver/kidney transplant recipients. Median age was 54 years. 38/40 PTLD were monomorphic and 15/40 EBV-associated. 38 pts were evaluated for response at interim staging: 13 were allocated to the low-risk, 17 to the high-risk and 8 to the very-high-risk group. ORR was 28/30 (93 %, CR: 16/30 [53 %]). With a median follow-up of 1.9 years, the 1-year/3-year Kaplan-Meier (KM) estimates of TTP and OS in the intention-to-treat population (40 pts) were 85 %/80 % and 70 %/70 %, respectively. In the low-risk group, the 2-year KM estimate of OS was 100 %. The frequency of infections (all grades) was 50 %, and TRM occurred in 3/40 pts (8 %). Conclusions: One third of enrolled pts were treated in the low-risk group and the recruitment goal for evaluation of the primary endpoint will likely be reached. Interim efficacy and toxicity data with rituximab SC and modified risk-stratification are encouraging despite the inclusion of 35 % thoracic SOT recipients. Clinical trial information: NCT02042391 .


2021 ◽  
Vol 11 ◽  
Author(s):  
Ling-Feng Liu ◽  
Qing-Song Li ◽  
Yin-Xiang Hu ◽  
Wen-Gang Yang ◽  
Xia-Xia Chen ◽  
...  

PurposeThe role of radiotherapy, in addition to chemotherapy, has not been thoroughly determined in metastatic non-small cell lung cancer (NSCLC). The purpose of the study was to investigate the prognostic factors and to establish a model for the prediction of overall survival (OS) in metastatic NSCLC patients who received chemotherapy combined with the radiation therapy to the primary tumor.MethodsThe study retrospectively reviewed 243 patients with metastatic NSCLC in two prospective studies. A prognostic model was established based on the results of the Cox regression analysis.ResultsMultivariate analysis showed that being male, Karnofsky Performance Status score &lt; 80, the number of chemotherapy cycles &lt;4, hemoglobin level ≤120 g/L, the count of neutrophils greater than 5.8 ×109/L, and the count of platelets greater than 220 ×109/L independently predicted worse OS. According to the number of risk factors, patients were further divided into one of three risk groups: those having ≤ 2 risk factors were scored as the low-risk group, those having 3 risk factors were scored as the moderate-risk group, and those having ≥ 4 risk factors were scored as the high-risk group. In the low-risk group, 1-year OS is 67.7%, 2-year OS is 32.1%, and 3-year OS is 19.3%; in the moderate-risk group, 1-year OS is 59.6%, 2-year OS is 18.0%, and 3-year OS is 7.9%; the corresponding OS rates for the high-risk group were 26.2%, 7.9%, and 0% (P&lt;0.001) respectively.ConclusionMetastatic NSCLC patients treated with chemotherapy in combination with thoracic radiation may be classified as low-risk, moderate-risk, or high-risk group using six independent prognostic factors. This prognostic model may help design the study and develop the plans of individualized treatment.


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