INTRODUCTION: Primary sclerosing cholangitis (PSC) is a chronic, fibroinflammatory, cholestatic liver disease of unknown etiopathogenesis which is recognized as a major risk factor for cholangiocarcinoma (CCA). We aimed to investigate the roles of the biliary and intestinal microflora in the inflammatory process of PSC and to determine if the microflora is associated with progression to CCA. METHODS: We studied the bile and stool microbiomes in samples obtained from patients with PSC (31 stool and 35 bile samples), sporadic CCA (11 stool and 26 bile samples), and PSC coexisting with CCA (16 stool and bile 17 samples). Control bile was obtained from patients with cholelithiasis or choledocholithiasis (n = 17). DNA extraction was followed by amplification and high-throughput next generation sequencing (MiSeq) of the 16S rDNA (V3-V5) region to identify the microbiota present. We performed: 1. analysis of the stool microbiome between PSC and CCA patients; 2. analysis of the biliary microbiome in PSC and CCA patients; 3. comparison of the biliary microbiome collected before and after biliary stent placement. RESULTS: Although bile samples from study patients had significantly lower sequencing depths than stool, their sequencing depths were much higher than bile from negative controls. The microbiomes of stool and bile samples from the same patients were significantly correlated ( P = 0.022). CCA bile samples had significant difference of alpha diversity from control bile samples with less Streptococcaceae and Desulfovibrionaceae (FDR < 10%) than PSC whereas no significant change of stool microbiome was identified between CCA and PSC. Fusobacterium and Gemella were correlated to PSC duration. An increased abundance of Fusobacteria after stent placement was revealed. Fusobacteria, which is inflammation-promoting, was also increased with the number of stents in the bile duct. CONCLUSION: Our study suggests that the bile microbiome is potentially a more distinctive biomarker than the stool microbiome for PSC and CCA development. There is increased inhabitance of inflammation-promoting bacteria in the bile of CCA patients and after biliary stent placement. Increased PSC duration also increases the microbial burden in the bile, which may also promote CCA development. We further detected specific bile microbes statistically associated with CCA or stent presence in the bile ducts, which raises the possibility of their role in the CCA progression or stent obstruction. Additional analyses with more samples are needed.
Role of adjuvant therapy in resected gallbladder cancer.
452 Background: Surgical resection is the only curative treatment for patients with gallbladder cancer, despite surgical advances many patients ultimately develop recurrent disease. Management of resected gallbladder cancer mostly relies on single-arm trials and retrospective observations. The purpose of our study is to assess the role of adjuvant therapy in stage I-III gallbladder cancer patients who have undergone surgical resection. Methods: Clinical data were collected on 251 patients who underwent surgical resection for stage I-III gallbladder cancer and presented to Mayo clinic from January 2000-December 2015. Patients were then classified into adjuvant treatment group and surveillance only group. Overall survival and recurrence were compared between the two groups. Results: 78 (31.1%) patients received adjuvant therapy while 173 patients were observed only. Patients who received adjuvant tended to be younger (63.0[SD 11] vs 66.2 [SD 13.1]), have higher stage, and underwent extended surgery. Most patients received chemoradiotherapy (55) with 5-Fluorouracil (67.3%) and capecitabine (25.5%) as radiosensitizing agents. 21 patients received additional adjuvant chemotherapy. 27% of patients received chemotherapy as the sole adjuvant treatment. The most common chemo regimens included gemcitabine (52.3%) and gemcitabine plus cisplatin combination (23.8%). On multivariate analysis patients > 65 years(HR 1.53 [1.07-2.19], p = 0.02), males (HR 1.7 [1.2-2.4], p = 0.003), positive margins (2.77 [1.69-4.38], p < 0.01), and stage III (HR 1.91 [1.35-2.70], p < 0.01) had worse overall survival. Patients who underwent extended radical resection (HR 0.73 [0.51-1.05], p = 0.09) had better overall survival. Adjuvant therapy had no statistical significant effect on overall survival (HR 1.10 [0.75-1.59], p = 0.63 or disease free survival (HR 1.05 [0.69-1.59], p = 0.81) on overall population. However, in stage IIIB, patients receiving adjuvant therapy had better overall survival (HR 0.51 [0.25-1.01], p = 0.05) and disease free survival (HR 0.45 [0.19-1.09], p = 0.06). Conclusions: In our study, adjuvant treatment, especially chemoradiation therapy, was only beneficial in patients with stage IIIb gallbladder cancer patients.
450 Background: The standard treatment for patients with gallbladder cancer is a combination of gemcitabine and cisplatin based on ABC-02 trial. However, there are no guidelines regarding treatment after first-line therapy. We retrospectively analyzed the efficacy and overall survival of different second-line regimens. Methods: We identified 203 patients with advanced gallbladder cancer who received palliative treatment between January 2000 and December 2015 at Mayo Clinic, Rochester. RECIST criteria was used to assess response. Results: 68 patients received second-line chemotherapy. Median age was 63 years (range: 32-86) and majority were males (60.6%). The median time from the diagnosis to the start of the second line chemotherapy was 8 (1-120) months. The most common used second-line chemotherapy were FOLFOX (14), gemcitabine alone (10), single agent fluoropyrimidine (11), gemcitabine with capecitabine (5), and capecitabine with oxaliplatin (4). There were 30 patients that received 5-fluorouracil based regimens, 20 patients received gemcitabine-based regimen, 3 patients received taxane-based regimen, and 15 patients received other types of chemotherapy. Median progression free survival and overall survival was 2.1 (1.8-2.7) and 16.7 (13.2-21.3) months respectively. There were 10 (52%), 11 (37%), 2 (67%), 5 (33%) with partial response and stable disease in 5-fluorouracil-based, gemcitabine-based, taxane-based, and others, respectively. There were no difference in PFS, with median PFS of 2.5, 2.0, 2.8 and 2.3 months, respectively (p=0.43). The overall survival were 15.7 (8.9-40.2), 15.0 (10.7-21.3), 40.3 (22.0-47.0), and 20.4 (9.2-30.7) months, respectively (p=0.83). There were 27 patients that received single agent chemotherapy and 41 patients that received combined regimen. There were 17 (42%) patients and 13 (48%) patients with partial response or stable disease in single and combined regimen. There were no differences in progression free survival and overall survival between single and multi agent chemotherapy. Conclusions: In this largest single institution study, second-line chemotherapy regimens for gallbladder cancer provided benefit in select patients and there is an urgent need to develop more active therapeutic regimens.
GALAD Score for Hepatocellular Carcinoma Detection in Comparison with Liver Ultrasound and Proposal of GALADUS Score
Abstract Background: The GALAD score is a serum biomarker–based model that predicts the probability of having hepatocellular carcinoma (HCC) in patients with chronic liver disease. We aimed to assess the performance of the GALAD score in comparison with liver ultrasound for detection of HCC. Methods: A single-center cohort of 111 HCC patients and 180 controls with cirrhosis or chronic hepatitis B and a multicenter cohort of 233 early HCC and 412 cirrhosis patients from the Early Detection Research Network (EDRN) phase II HCC Study were analyzed. Results: The area under the ROC curve (AUC) of the GALAD score for HCC detection was 0.95 [95% confidence interval (CI), 0.93–97], which was higher than the AUC of ultrasound (0.82, P <0.01). At a cutoff of −0.76, the GALAD score had a sensitivity of 91% and a specificity of 85% for HCC detection. The AUC of the GALAD score for early-stage HCC detection remained high at 0.92 (95% CI, 0.88–0.96; cutoff −1.18, sensitivity 92%, specificity 79%). The AUC of the GALAD score for HCC detection was 0.88 (95% CI, 0.85–0.91) in the EDRN cohort. The combination of GALAD and ultrasound (GALADUS score) further improved the performance of the GALAD score in the single-center cohort, achieving an AUC of 0.98 (95% CI, 0.96–0.99; cutoff −0.18, sensitivity 95%, specificity 91%). Conclusions: The performance of the GALAD score was superior to ultrasound for HCC detection. The GALADUS score further enhanced the performance of the GALAD score. Impact: The GALAD score was validated in the United States.
Hypothyroidism is associated with worse outcomes of hepatocellular carcinoma patients after liver transplantation
AbstractBackground/AimsHypothyroidism has been associated with hepatocellular carcinoma (HCC) incidence; however, the relationship between hypothyroidism and HCC patient outcomes is unclear. We investigated the impact of hypothyroidism on outcomes after liver transplantation for HCC.Materials and MethodsWe retrospectively studied HCC patients transplanted between January 2000 and December 2015. Hypothyroidism was defined as a thyroid‐stimulating hormone (TSH) level continuously greater than 5 mIU/L, a documented history of hypothyroidism, or treatment with thyroid hormone replacement therapy. Multivariate Cox regression was used to assess the impact of hypothyroidism on overall survival (OS) and recurrence‐free survival (RFS) adjusting for potential confounders. Subgroup analyses and interaction tests were conducted to compare the impact of hypothyroidism in different subgroups and assess for possible synergistic effects. Sensitivity analyses were performed among different cohorts to verify the stability of the results.ResultsA total of 343 HCC patients who underwent liver transplantation were included in the analysis. The primary analysis was conducted among 288 patients diagnosed with HCC prior to transplantation. Hypothyroidism was independently associated with worse OS and RFS, as was elevated TSH. The adjusted hazard ratio (AHR) of hypothyroidism was 2.45 (95% confidence interval [CI], 1.44‐4.18) for OS and 5.54 (2.36, 13.01) for RFS. The AHR of TSH for OS was 1.05 (1.02, 1.09) and 1.08 (1.03, 1.13) for RFS. No interaction was found among different subgroups categorized by etiology and comorbidity. The results were stable to sensitivity analyses.ConclusionHypothyroidism is associated with poorer overall and recurrence‐free survival of HCC patients receiving liver transplantation. These results require validation.
Outcome and validation of a new clinically based staging system for predicting survival of perihilar cholangiocarcinoma patients
Background and AimCurrently available staging systems for cholangiocarcinoma (CCA) are not applicable to patients with unresectable stage. A new clinical staging system for perihilar CCA (pCCA) subtype has been recently developed in a US cohort, with a good performance in predicting survival of all pCCA patients. We aimed to determine outcomes of pCCA patients and evaluate predictive performance of this staging system in an Asian population.MethodsAll 141 patients diagnosed with pCCA between 2003 and 2012 were identified. Clinical information was retrospectively abstracted. Patients were classified into four stages based on the new staging system. Survival predictors were analyzed using the Cox proportional hazard analysis.ResultsOf the 141 pCCA patients, 38 (27%), 101 (72%), and 2 (1%) received resection, palliative biliary drainage ± chemotherapy, and best supportive care, respectively. Survival predictors included resectable disease, tumor size, distant metastasis, and cancer antigen 19‐9 ≥ 1000 U/mL. When classified by clinical stages, 13, 4, 99, and 25 patients were in stages I, II, III, and IV, with median survivals of 18.4, 7.3, 6.3, and 2.6 months; and hazard ratio (95% confidence interval) of 1.0 (reference), 1.7 (0.5–5.5), 3.2 (1.5–6.7), and 10.8 (4.6–25.0), respectively.ConclusionThe clinical staging system has a limited performance in differentiating stage II pCCA patients from stage III patients in the Thai cohort. This can be due to differences in patient characteristics and treatment modalities between the Asian and White pCCA populations. However, the median survivals of patients with other stages are significantly different.