Roberts, Lewis R.

AbstractBackgroundTransarterial radioembolization (TARE) is increasingly used as an alternative to transarterial chemoembolization (TACE) for the treatment of hepatocellular carcinoma (HCC). We aimed to perform an overall and individual patient data (IPD) meta‐analysis of studies comparing TACE and TARE.MethodsWe performed a systematic literature search using pre‐specified keywords with the aid of an informationist for articles from inception to 3/2020. The primary endpoint was overall survival (OS), and the secondary endpoint was time to progression (TTP).ResultsSeventeen studies met inclusion criteria with 2465 unique patients, with one randomized trial, 4 prospective studies and 12 retrospective studies. Barcelona Clinic Liver Cancer (BCLC) stage B (42.8%) was the most common stage followed by BCLC A (30.3%) and BCLC C (29.0%). There was no difference in OS between the two modalities (−0.55 months, 95% CI −1.95 to 3.05). In three studies with available TTP data, TARE resulted in a longer TTP than TACE (mean TTP 17.5 vs. 9.8 months; mean TTP difference 4.8 months, 95% CI 1.3–8.3 months). IPD‐level meta‐analysis of 311 patients from three studies showed no difference in overall OS between the two modalities including among subgroups stratified by tumor stage and liver function. Limitations of the current literature include inconsistent length of follow‐up, inconsistency in response criteria, and safety reporting.ConclusionsCurrent data suggest TARE provides significantly longer TTP than TACE, although the two treatments do not significantly differ in terms of OS. Given limitations of the current data, there is rationale for prospective studies comparing these modalities.

Abstract Cancer incidence is increasing worldwide and is a major cause of mortality. The relative magnitude of the increase is remarkably high in low human development index (HDI; 95%) and medium HDI (64%) countries. On the African continent, a corresponding increase in cancer burden is predicted, particularly for sub-Saharan Africa. Current epidemiologic data indicate that mortality rates of certain cancers, such as breast and cervical cancers, in sub-Saharan Africa are the highest in the world, and the cancer risks are broadly comparable to the risks in high-income countries, such as the United States and Europe. Although emerging data alludes to the unique genetic profile of cancer in African populations, most cancer therapies are introduced to Africa without confirmatory clinical trials. Therefore, there is an increasing need for clinical trials directed toward prevention, screening, diagnosis, and identification of innovative treatments in the African context. This review will discuss the increasing cancer burden in Africa, with a particular focus on Ghana, unmet clinical needs in cancer, current medical systems, clinical trial regulatory systems, and challenges to clinical trial recruitment.

Abstract Gallbladder cancer (GBC) is one of the deadliest cancers, with a 5-year-survival-rate of less than 5 percent for late-stage disease. The response rate to chemotherapy among GBC patients is generally poor. Recent research has attempted to identify diagnostic, prognostic, and predictive biomarkers, however, currently, no biomarkers can accurately diagnose GBC and predict patients’ prognosis. Integrative analysis of molecular and clinical characterization has not been fully established, and minimal improvement has been made to the survival of these patients, in part due to the heterogeneity of GBC. Machine learning techniques have been proven to empower analysis of big data in oncology, allowing for improvement in the generation of biomarkers to predict patient outcomes. Using machine learning, we can utilize high-throughput RNA sequencing with clinicopathologic data to develop a predictive tool for GBC prognosis. Current predictive models for GBC outcomes often utilize clinical data only, with the highest C-statistic reported being 0.71. C-statistic values over 0.7 generally indicate good models, however 0.8 is the threshold for strong predictive models. We aim to build a superior algorithm to predict overall survival in GBC patients with advanced disease, using machine learning approaches to prioritize biomarkers for GBC prognosis. We have identified over 80 fresh frozen GBC tissue samples from Mayo Clinic Rochester, Dongsan Medical Center in Daegu, Korea, University of the Witwatersrand, in Johannesburg, South Africa, Lithuanian University of Health Science in Vilnius, Lithuania, and University of Calgary in Calgary, Canada, from patients enrolled between 2012 and 2021. We will perform next-generation RNA sequencing on these tissue samples. The patients’ clinical, pathologic and survival data will be abstracted from the medical record uniformly across sites. Feature engineering and dimensionality reduction will be performed. Then random forests, support vector machines, and gradient boosting machines will be applied to train the data. Variable importance will prioritize multi-omic markers. Standard 5-fold cross validation will be used to assess performance of each ML algorithm. If overall survival can be better predicted with the addition patients’ transcriptional sequencing data compared to using clinical profiles alone, we can gain a greater understanding of key biomarkers driving the tumor phenotype. Citation Format: Linsey Jackson, Loretta Allotey, Valles Kenneth, Gavin Oliver, Asha Nair, Daniel O'Brien, Rondell Graham, Mitesh Borad, Arjun Athreya, Lewis Roberts. Prognostic biomarkers for gallbladder cancer: A machine learning approach [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 1944.

Background: Primary sclerosing cholangitis (PSC) is a major risk factor for cholangiocarcinoma (CCA). We investigated biliary and fecal microbiota to determine whether specific microbes in the bile or stool are associated with PSC or CCA. Methods: Bile was obtained from 32 patients with PSC, 23 with CCA with PSC, 26 with CCA without PSC, and 17 controls. Over 90% of bile samples were from patients with perihilar CCA. Stool was obtained from 31 patients with PSC (11 were matched to bile), 16 with CCA with PSC (10 matched to bile), and 11 with CCA without PSC (6 matched to bile). Microbiota composition was assessed using 16SrRNA-marker-based sequencing and was compared between groups. Results: Bile has a unique microbiota distinguished from negative DNA controls and stool. Increased species richness and abundance of Fusobacteria correlated with duration of PSC and characterized the biliary microbiota in CCA. Stool microbiota composition showed no significant differences between groups. Conclusions: We identified a unique microbial signature in the bile of patients with increased duration of PSC or with CCA, suggesting a role for microbiota-driven inflammation in the pathogenesis and or progression to perihilar CCA. Further studies are needed to test this hypothesis.

Abstract Background and Aims Immunotherapy has emerged as an effective treatment for patients with advanced‐stage HCC. We aimed to investigate the efficacy of immunotherapy for advanced HCC in a nationwide cohort and racial and ethnic disparities in access to immunotherapy. Approach and Results We used the US National Cancer Database to identify patients with tumor‐node‐metastasis stage 3 or 4 HCC between 2017 and 2018. We performed multivariable Cox regression to identify factors associated with overall survival (OS) and logistic regression to identify factors associated with receipt of immunotherapy. Of the 3,990 patients treated for advanced HCC, 3,248 (81.4%) patients received chemotherapy and 742 (18.6%) patients received immunotherapy as a first‐line treatment. Immunotherapy was associated with improved OS compared with chemotherapy (adjusted HR: 0.76, 95% CI: 0.65–0.88) after adjusting for covariates. There were racial and ethnic disparities in access to immunotherapy, with Hispanic (adjusted OR [aOR]: 0.63, 95% CI: 0.46–0.83) and Black patients (aOR: 0.71, 95% CI: 0.54–0.89) less likely to receive immunotherapy compared with White patients. There was a significant interaction between race‐ethnicity and facility type, with higher disparity observed in nonacademic centers (interaction p = 0.004). Conclusions Immunotherapy was associated with improved OS compared with chemotherapy in advanced HCC. There are significant disparities in early access to immunotherapy, likely due to differential access to clinical trials and experimental therapies. A comprehensive approach to monitoring and eliminating racial‐ethnic disparities in the management of advanced HCC is urgently needed.

Abstract Background and Aims Although many studies revealed transcriptomic subtypes of HCC, concordance of the subtypes are not fully examined. We aim to examine a consensus of transcriptomic subtypes and correlate them with clinical outcomes. Approach and Results By integrating 16 previously established genomic signatures for HCC subtypes, we identified five clinically and molecularly distinct consensus subtypes. STM (STeM) is characterized by high stem cell features, vascular invasion, and poor prognosis. CIN (Chromosomal INstability) has moderate stem cell features, but high genomic instability and low immune activity. IMH (IMmune High) is characterized by high immune activity. BCM (Beta‐Catenin with high Male predominance) is characterized by prominent β‐catenin activation, low miRNA expression, hypomethylation, and high sensitivity to sorafenib. DLP (Differentiated and Low Proliferation) is differentiated with high hepatocyte nuclear factor 4A activity. We also developed and validated a robust predictor of consensus subtype with 100 genes and demonstrated that five subtypes were well conserved in patient‐derived xenograft models and cell lines. By analyzing serum proteomic data from the same patients, we further identified potential serum biomarkers that can stratify patients into subtypes. Conclusions Five HCC subtypes are correlated with genomic phenotypes and clinical outcomes and highly conserved in preclinical models, providing a framework for selecting the most appropriate models for preclinical studies.

INTRODUCTION: Beyond oral contraceptives (OCs), metabolic factors have been suggested to increase the risk of hepatocellular adenoma (HCA). The impact of risks remains poorly defined, particularly among men and those with adenomatosis. Thus, we aimed to examine HCA clinical and outcome characteristics through a large multicenter cohort. METHODS: HCA diagnosis was made based on a combination of clinical, radiologic, and histologic criteria. Patient and clinical data including follow-up imaging, complications, and interventions were collected between 2004 and 2018 from 3 large academic centers. RESULTS: Among 187 patients (163 female and 24 male) with HCA, 75 had solitary HCA, 58 had multiple HCAs, and 54 had adenomatosis. Over a median follow-up of 3.3 years (quartile 1: 1.2, quartile 3: 8.8), 34 patients (18%) had radiologic interventions, 41 (21%) had surgical resections, 10 (5%) developed tumoral hemorrhage, and 1 had malignant transformation. OC and corticosteroid use were present in 70% and 16%, respectively. Obesity (51%), type 2 diabetes (24%), hypertension (42%), and hypertriglyceridemia (21%) were also common. Metabolic comorbidities were more common in patients with large HCAs and adenomatosis. Compared with women, men had less hepatic steatosis (4% vs 27%), smaller HCAs (2.3 cm vs 4.4 cm), and more corticosteroid use (38% vs 11%) ( P < 0.05 for all). With OC cessation, 69% had a decrease in size of HCA, but 25% eventually required advanced interventions. DISCUSSION: In this large HCA cohort, obesity and metabolic comorbidities were important risk factors associated with large HCAs and adenomatosis. Long-term adverse outcomes were infrequent, 5% had tumor hemorrhage, and 1 patient exhibited malignant transformation.

Abstract Background: Chemoprevention for biliary tract cancers (BTC), which comprise intrahepatic cholangiocarcinoma (iCCA), extrahepatic cholangiocarcinoma (eCCA), and gallbladder cancer, is controversial. We examined associations between low-dose aspirin, statins, NSAIDs, and metformin with BTC risk. Methods: We used a population-based cohort of 5.7 million persons over age 18 without personal history of cancer (except nonmelanoma skin cancer), receiving at least one commonly prescribed drug between July 1, 2005, and December 31, 2012, from the Swedish Prescribed Drug Registry. Hazard ratios (HR) were calculated using age-scaled multivariable-adjusted Cox models. Results: 2,160 individuals developed BTC. Low-dose aspirin was not associated with BTC risk [HR, 0.93; 95% confidence interval (CI), 0.81–1.07], iCCA (HR, 1.21; 95% CI, 0.93–1.57), eCCA (HR, 0.80; 95% CI, 0.60–1.07), or gallbladder cancer (HR, 0.87; 95% CI, 0.71–1.06). Statins were associated with lower risk of BTC (HR, 0.66; 95% CI, 0.56–0.78), iCCA (HR, 0.69; 95% CI, 0.50–0.95), eCCA (HR 0.54; 95% CI, 0.38–0.76), and gallbladder cancer (HR, 0.72; 95% CI, 0.57–0.91). For all BTC subtypes, combined low-dose aspirin and statins were not associated with lower risk than statins alone. NSAIDs were associated with higher risk of BTC and its subtypes. Metformin was not associated with BTC risk (HR, 0.98; 95% CI, 0.82–1.18), iCCA (HR, 1.06; 95% CI, 0.77–1.48), eCCA (HR, 1.15; 95% CI, 0.82–1.61), or gallbladder cancer (HR, 0.84; 95% CI, 0.63–1.11). Conclusions: Statins were associated with a decreased risk of BTC and its subtypes. Low-dose aspirin alone was not associated with a decreased risk, and use of both was not associated with further decrease in risk beyond statins alone. Impact: Statins were most consistently associated with a decreased risk of BTC and its subtypes.

405 Background: Hepatocellular carcinoma (HCC) is the fastest rising cause of cancer mortality in the United States. Although clinical guidelines recommend ultrasound (U/S), with or without the serum biomarker alpha fetoprotein (AFP) for HCC surveillance in at-risk patients, only 24% of patients adhere to surveillance and only one-third of HCCs are detected before developing symptoms. A multi-target HCC blood-based test (mt-HBT) was recently shown to have promising sensitivity for early HCC detection and may help improve surveillance adherence given its blood-based nature. Our objective was to evaluate the comparative clinical effectiveness of mt-HBT with the current standard-of-care surveillance strategy in patients with cirrhosis. Methods: We simulated a virtual trial by developing a microsimulation model of the natural history of HCC in patients with compensated (Child Pugh A) cirrhosis over a 30-year horizon. To inform model parameters, we used published data on tumor progression, competing risks of mortality, and real-world HCC surveillance adherence. Test performance characteristics were informed by a network meta-analysis. We simulated the life course of 51-year-old patients with cirrhosis and compared no surveillance with biannual surveillance using (1) AFP only, (2) U/S only, (3) U/S+AFP, (4) mt-HBT, and (5) mt-HBT with improved adherence. We assumed a blood-based test—without U/S—would improve surveillance adherence by 10% compared with current adherence (̃4% absolute improvement). Results: Per 100,000 cirrhosis patients, mt-HBT detected 6,220 more early-stage HCC than no surveillance, 2,250 (+57%) more than AFP, 1080 (+21%) more than U/S, and 200 (-3%) less than U/S+AFP. mt-HBT with improved adherence detected 210 (+3%) more early-stage HCC than U/S+AFP (Table). The remaining HCC cases were either symptomatic or the patients died per other competing causes prior to detection. The number of screening tests needed to detect one HCC were 296 for AFP, 287 for U/S, 253 for U/S+AFP, 254 for mt-HBT and 262 for mt-HBT with improved adherence. The number of diagnostic MRI/CT needed to detect one HCC were 40 for AFP, 38 for U/S, 45 for U/S+AFP, 37 for mt-HBT, and 38 for mt-HBT with improved adherence. Conclusions: mt-HBT detects more early-HCC cases than U/S and similar number of early-HCC cases with U/S+AFP. By decreasing surveillance barriers and increasing adherence, mt-HBT could improve early HCC detection and could be promising option for HCC surveillance in patients with cirrhosis. [Table: see text]