A novel pathology-based preoperative risk score to predict distant and locoregional residual disease and survival for incidentally discovered gallbladder cancer: A 10-institution study from the US Extrahepatic Biliary Malignancy Consortium.

2016 ◽  
Vol 34 (4_suppl) ◽  
pp. 202-202
Author(s):  
Cecilia Grace Ethun ◽  
Lauren McLendon Postlewait ◽  
Timothy M. Pawlik ◽  
Stefan Buettner ◽  
George A. Poultsides ◽  
...  

202 Background: T-stage alone is currently used to guide treatment for incidentally discovered gallbladder cancer. We aimed to develop a more robust predictive model for discovering distant or locoregional residual disease at the time of re-resection. Methods: All patients with incidentally discovered gallbladder cancer who underwent re-resection at 10 institutions from 2000-2015 were included. We utilized routine pathology data from initial cholecystectomy to create a gallbladder cancer predictive risk score (GBRS) for finding distant or locoregional residual disease at re-resection and predicting overall survival (OS). Results: Of 449pts with gallbladder cancer, 262 (58%) were incidentally discovered and underwent attempted re-resection. Advanced T-stage, grade, and lymphovascular (LVI) and perineural (PNI) invasion were all associated with increased rates of distant and locoregional residual disease, and decreased OS. Each pathologic characteristic was assigned a value (T1a: 0, T1b: 1, T2: 2, T3/4: 3; well diff: 1, mod diff: 2, poor diff: 3; LVI neg: 1, LVI pos: 2; PNI neg: 1, PNI pos: 2), which were added for a total GBRS score ranging from 3-10. The scores were then separated into 3 risk groups (Low: 3-4; Intermediate: 5-7; High: 8-10). Each progressive GBRS group was associated with an increased risk of finding distant and isolated locoregional residual disease at the time of re-resection, and was associated with reduced median OS (Table). Conclusions: By accounting for pathologic variations within each T-stage, this novel predictive risk-score redistributes T1b, T2, and T3 disease across separate risk-groups and more accurately identifies patients with incidentally discovered gallbladder cancer at risk for distant and locoregional residual disease, and decreased long-term survival. This score may help to better optimize treatment strategy for patients with incidentally discovered gallbladder cancer. [Table: see text]

2016 ◽  
Vol 34 (4_suppl) ◽  
pp. 201-201
Author(s):  
Cecilia Grace Ethun ◽  
Lauren McLendon Postlewait ◽  
Timothy M. Pawlik ◽  
Stefan Buettner ◽  
George A. Poultsides ◽  
...  

201 Background: Current recommendation is to perform re-resection for select patients with incidentally discovered gallbladder cancer. The interval time to re-resection that optimizes both patient selection and long-term survival is not known. Methods: All patients with incidentally discovered gallbladder cancer who underwent re-resection at 10 institutions from 01/2000-05/2015 were included. The interval time to re-resection was analyzed. Primary outcome was overall survival (OS). Results: Of 449pts with gallbladder cancer, 233 (52%) were discovered incidentally and underwent attempted re-resection at 3 different time-intervals from the date of original cholecystectomy: Group A: 0-4wks (49pts, 21%); B: 4-8wks (91pts, 39%); C: > 8wks (93pts, 40%). All 3 groups were similar with regards to T-stage, LN involvement, grade, and post-operative complications. Group A tended to have distant disease found less frequently at the time of re-resection (11% vs 20% vs 19%; p = 0.38) and was least likely to have residual disease on pathologic analysis (29% vs 47% vs 49%; p = 0.048). Despite these findings, patients who underwent attempted re-resection between 4-8 weeks had the longest median OS (Group B: 40.4mo) compared to those who underwent early (Group A: 18.1mo) or late (Group C: 23.6mo) re-exploration (p = 0.015). A 4-8 week time interval to re-resection, presence of residual disease, advanced T-stage, LN involvement, high grade, and positive margin were associated with decreased OS on UV Cox regression (all p < 0.05). Only a 4-8 week time interval to re-resection (HR 0.43, 95%CI 0.21-0.90; p = 0.02), advanced T-stage (HR 2.65, 95%CI 1.16-6.09; p = 0.02), and margin positivity (HR 2.46, 95%CI 1.16-5.22; p = 0.02) persisted on MV analysis. Conclusions: The optimal time-interval for attempted re-resection for incidentally discovered gallbladder cancer appears to be between 4-8 weeks after the date of the original cholecystectomy.


2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Joon-Tae Kim ◽  
Beom Joon Kim ◽  
Jong-Moo Park ◽  
Soo Joo Lee ◽  
Jae-Kwan Cha ◽  
...  

Abstract Uncertainty regarding an optimal antiplatelet regimen still exists in patients with breakthrough acute ischemic stroke (AIS) while on aspirin. This study provides an analysis of a prospective multicenter registry between April 2008 and April 2014. Eligible patients were on aspirin at the time of AIS and treated with antiplatelet regimens (aspirin, clopidogrel, or clopidogrel-aspirin). Potential factors associated with the choice of each antiplatelet regimen were explored and included a predictive risk score for future vascular events, the Essen Stroke Risk Score (ESRS). A total of 2348 patients (age, 69 ± 11 years; male, 57.7%) were analyzed, and 55.3%, 25.3% and 19.4% were treated with clopidogrel-aspirin, aspirin and clopidogrel, respectively. While the likelihood of choosing clopidogrel-aspirin increased as the ESRS increased, the likelihood of choosing aspirin decreased as the ESRS increased (Ptrend < 0.001). The ESRS category (0–1/2–3/ ≥ 4) modified the effect of antiplatelet regimens for 1-year vascular events (Pinteraction < 0.01). Among patients with ESRS ≥ 4, clopidogrel-aspirin (HR 0.47 [0.30–0.74]) and clopidogrel (HR 0.30 [0.15–0.60]) significantly reduced the risk of outcome events. Our study showed that more than half of the patients with aspirin failure were treated with clopidogrel-aspirin. In particular, a higher ESRS, which indicates an increased risk of recurrent stroke, was associated with the choice of clopidogrel-aspirin rather than aspirin.


2008 ◽  
Vol 26 (8) ◽  
pp. 1275-1281 ◽  
Author(s):  
Cornelia Liedtke ◽  
Chafika Mazouni ◽  
Kenneth R. Hess ◽  
Fabrice André ◽  
Attila Tordai ◽  
...  

Purpose Triple-negative breast cancer (TNBC) is defined by the lack of estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor receptor 2 (HER-2) expression. In this study, we compared response to neoadjuvant chemotherapy and survival between patients with TNBC and non-TNBC. Patients and Methods Analysis of a prospectively collected clinical database was performed. We included 1,118 patients who received neoadjuvant chemotherapy at M.D. Anderson Cancer Center for stage I-III breast cancer from 1985 to 2004 and for whom complete receptor information were available. Clinical and pathologic parameters, pathologic complete response rates (pCR), survival measurements, and organ-specific relapse rates were compared between patients with TNBC and non-TNBC. Results Two hundred fifty-five patients (23%) had TNBC. Patients with TNBC compared with non-TNBC had significantly higher pCR rates (22% v 11%; P = .034), but decreased 3-year progression-free survival rates (P < .0001) and 3-year overall survival (OS) rates (P < .0001). TNBC was associated with increased risk for visceral metastases (P = .0005), lower risk for bone recurrence (P = .027), and shorter postrecurrence survival (P < .0001). Recurrence and death rates were higher for TNBC only in the first 3 years. If pCR was achieved, patients with TNBC and non-TNBC had similar survival (P = .24). In contrast, patients with residual disease (RD) had worse OS if they had TNBC compared with non-TNBC (P < .0001). Conclusion Patients with TNBC have increased pCR rates compared with non-TNBC, and those with pCR have excellent survival. However, patients with RD after neoadjuvant chemotherapy have significantly worse survival if they have TNBC compared with non-TNBC, particularly in the first 3 years.


2019 ◽  
Vol 220 (11) ◽  
pp. 1780-1789 ◽  
Author(s):  
Leonardo Martinez ◽  
Wei Cheng ◽  
Xiaoxiao Wang ◽  
Feng Ling ◽  
Lan Mu ◽  
...  

Abstract Background Avian influenza A H7N9 (A/H7N9) is characterized by rapid progressive pneumonia and respiratory failure. Mortality among laboratory-confirmed cases is above 30%; however, the clinical course of disease is variable and patients at high risk for death are not well characterized. Methods We obtained demographic, clinical, and laboratory information on all A/H7N9 patients in Zhejiang province from China Centers for Disease Control and Prevention electronic databases. Risk factors for death were identified using logistic regression and a risk score was created using regression coefficients from multivariable models. We externally validated this score in an independent cohort from Jiangsu province. Results Among 305 A/H7N9 patients, 115 (37.7%) died. Four independent predictors of death were identified: older age, diabetes, bilateral lung infection, and neutrophil percentage. We constructed a score with 0–13 points. Mortality rates in low- (0–3), medium- (4–6), and high-risk (7–13) groups were 4.6%, 32.1%, and 62.7% (Ptrend < .0001). In a validation cohort of 111 A/H7N9 patients, 61 (55%) died. Mortality rates in low-, medium-, and high-risk groups were 35.5%, 55.8, and 67.4% (Ptrend = .0063). Conclusions We developed and validated a simple-to-use, predictive risk score for clinical use, identifying patients at high mortality risk.


2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Mengqin Yuan ◽  
Yanqing Wang ◽  
Qinqian Sun ◽  
Shiyi Liu ◽  
Shu Xian ◽  
...  

Hepatocellular carcinoma (HCC) ranks fifth among common cancers and is the second most common cause of cancer-related mortality worldwide. This study is aimed at identifying an immune-related long noncoding RNA (lncRNA) signature as a potential biomarker with prognostic value to improve early diagnosis and provide potential therapeutic targets for HCC patients. The subjects of this study were HCC samples with complete transcriptome data and clinical information downloaded from The Cancer Genome Atlas (TCGA) database. We then extracted the immune-related mRNA and lncRNA expression profiles. Based on the expression profiles of immune-related lncRNAs, we identified a nine-lncRNA signature that was related to the progression of HCC. The risk score was calculated based on the expression level of the nine lncRNAs of each sample, which divided patients into high-risk and low-risk groups. We found that the increased risk score was associated with a poor prognosis of HCC patients. To assess the accuracy of the survival model, we calculated a receiver operating characteristic (ROC) for validation. The curve showed that the area under the curve (AUC) for the risk score was 0.792. Besides, both principal component analysis (PCA) and gene set enrichment analysis (GSEA) were further used for functional annotation. We found that the distribution patterns were different between the low-risk and high-risk groups in PCA, and the underlying mechanism by which the nine lncRNAs promoted the progression of HCC involved an abnormal immune status. Finally, we analyzed the infiltration of twenty-nine kinds of immune cells and the activation of immune function in HCC using the ssGSEA algorithm. The results showed that aDCs, iDCs, macrophages, Tfh, Th1, Treg, and NK cells were correlated with the progress of HCC patients. And the immune functions including APC costimulation, CCR, check point, HLA, MHC class I, and Type II IFN responses were also significantly different between the high-risk and low-risk groups. In conclusion, our study identified a nine-lncRNA signature with potential prognostic value for patients with HCC, which could be used as a new biomarker for the diagnosis and immunotherapy of HCC.


Circulation ◽  
2020 ◽  
Vol 142 (Suppl_3) ◽  
Author(s):  
Khaled Elkholey ◽  
Zain Ul Abideen Asad ◽  
Lampros Papadimitriou ◽  
Udho THADANI ◽  
Stavros Stavrakis

Background: Atrial fibrillation (AF) is a common comorbidity in heart failure with preserved ejection fraction (HFpEF) and portends an increased risk of cardiovascular events. We sought to identify predictors and develop a risk score of incident AF among patients with HFpEF. Methods: This was an exploratory, post-hoc analysis of the TOPCAT trial. Patients without known AF were included. Cox regression was used to identify independent predictors of incident AF. A risk score was derived from the weighed sum of the regression coefficients of each independent risk factor in the final model using Cox regression analysis. Results: A total of 2174 patients (mean age 67.0±9.4 years; female 55%) without known AF at baseline were included. During a median follow-up of 3 years, 102 (4.7%) patients developed new onset AF. Diabetes (HR=2.1, 95% CI 1.4-3.1; p=0.0002), peripheral arterial disease (HR=2.0, 95% CI 1.2-3.4; p=0.006), elevated (>144meq/dL) sodium (HR=2.1, 95% CI 1.4-3.1; p=0.0002) independently predicted incident AF, whereas current use of angiotensin-converting enzyme inhibitors/angiotensin receptor blockers was protective (HR=0.61, 95% CI 0.38-0.99, p=0.048). Based on the simplified risk score which included these 4 variables, annualized AF incidence rates were 0.8%, 1.8%, and 3.6% in the low (score=0), intermediate (score=1 or 2), and high-risk (score >2) groups, respectively (log rank P<0.0001; Figure). Compared to the low risk group, the intermediate and high risk groups had a 2.5-fold and 5-fold increase in the risk of incident AF, respectively (HR=2.5, 95% CI 1.5-4.0, p=0.0003 and HR=4.9, 95% CI 2.9-9.4, p<0.0001, respectively). Model discrimination was good (c-statistic=0.67; 95% CI 0.61-0.72). Conclusions: A simplified risk score derived from clinical and laboratory characteristics predicts incident AF in patients with HFpEF and, upon further validation, may be used clinically for risk stratification or for AF screening in high risk groups. Figure


2018 ◽  
Vol 25 (6) ◽  
pp. 1699-1708 ◽  
Author(s):  
Tetsuya Mochizuki ◽  
Tomoyuki Abe ◽  
Hironobu Amano ◽  
Keiji Hanada ◽  
Minoru Hattori ◽  
...  

2013 ◽  
Author(s):  
Christian Korunka ◽  
Bettina Kubicek ◽  
Matea Paskvan ◽  
Roman Prem ◽  
Cornelia Gerdenitsch
Keyword(s):  

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