Neoadjuvant therapy leads to objective response in intrahepatic cholangiocarcinoma.

BACKGROUND: Intrahepatic cholangiocarcinoma (iCCA) is the second most common hepatic malignancy and has a poor prognosis. Surgical resection is the standard of care for patients with resectable disease, representing 30-40% of cases. Increasingly, neoadjuvant systemic therapy is being utilized in patients due to high-risk anatomic or biologic considerations. However, data on the clinical effect of this approach are limited. We performed a cohort study to evaluate the effect of neoadjuvant therapy in patients with oncologically high-risk iCCA. METHODS: iCCA patients (n = 181) between the years 2014-2020 were reviewed for clinical, histopathologic, treatment, and outcome-related data. Tumor regression grade was scored per CAP criteria for gastrointestinal carcinomas. RESULTS: 47 iCCA patients received neoadjuvant therapy and 72 did not. Neoadjuvant treatment led to objective response and tumor regression by CAP score. After adjustment for age, clinical stage, and tumor size, the outcomes of patients who had neoadjuvant therapy followed by surgery were not significantly different from those patients who had surgery first. DISCUSSION: In conclusion, neoadjuvant therapy in iCCA facilitated surgical care. The progression-free and overall survival for surgical patients with and without neoadjuvant therapy were not significantly different suggesting this approach needs further exploration as an effective treatment paradigm.

WITHDRAWN: Neoadjuvant therapy leads to objective response in intrahepatic cholangiocarcinoma.

The Publisher regrets that this article is an accidental duplication of an article that has already been published, https://doi.org/10.1016/j.hpb.2024.04.011. The duplicate article has therefore been withdrawn. The full Elsevier Policy on Article Withdrawal can be found at https://www.elsevier.com/about/policies/article-withdrawal.

Second-Line Treatment of Pancreatic Adenocarcinoma: Shedding Light on New Opportunities and Key Talking Points from Clinical Trials.

Despite improvements in overall cancer mortality, deaths related to pancreatic cancer continue to rise. Following first-line treatment, second-line options are significantly limited. Classically, first-line treatment consisted of either gemcitabine or 5-fluorouracil based systemic chemotherapy. Upon progression of disease or recurrence, subsequent second-line treatment is still gemcitabine or 5-fluorouracil based chemotherapy, depending on what was used in the first line and the timing of progression or recurrence. A better understanding of the molecular underpinnings of pancreatic adenocarcinoma (PDAC) has led to new treatment strategies including specifically targeting the desmoplastic stroma, cytokine signaling and actionable mutations. Furthermore, efforts are also directed to enhance the immunogenicity profile of PDAC's well-established immunologically "cold" tumor microenvironment. More recently, the outstanding response rates of chimeric antigen receptor T (CAR-T) cells in hematologic malignancies, have led to clinical trials to evaluate the treatment modality in PDAC. In this review, we summarize recently presented clinical trials for metastatic pancreatic adenocarcinoma with novel treatment approaches in the second line and beyond.

Outcomes of Patients with Advanced Hepatocellular Carcinoma Receiving Lenvatinib following Immunotherapy: A Real World Evidence Study.

BACKGROUND: Lenvatinib, a multikinase inhibitor, is an FDA-approved treatment for advanced hepatocellular carcinoma (HCC) in the first-line setting. Recent trial data have established atezolizumab plus bevacizumab as well as tremelimumab plus durvalumab as preferred first-line treatment options for advanced HCC. The role of lenvatinib following progression on immunotherapy in patients with advanced HCC remains unclear. METHODS: We conducted a multicentric, retrospective analysis of patients with advanced HCC diagnosed between 2010 and 2021 at the Mayo Clinic in Minnesota, Arizona, and Florida who received immunotherapy followed by lenvatinib. Median overall survival and progression-free survival analyses were performed using the Kaplan-Meier method, and responses were determined using RECIST 1.1. Adverse events were determined using CTCAE v 4.0. RESULTS: We identified 53 patients with advanced HCC who received lenvatinib following progression on immunotherapy. Forty five (85%) patients had a Child Pugh class A at diagnosis, while 30 (58%) patients were still Child Pugh A at time of lenvatinib initiation. Lenvatinib was administered as a second-line treatment in 85% of the patients. The median PFS was 3.7 months (95% CI: 3.2-6.6), and the median OS from the time of lenvatinib initiation was 12.8 months (95% CI: 6.7-19.5). In patients with Child Pugh class A, the median OS and PFS was 14 and 5.2 months, respectively. Race, gender, and Child Pugh class was associated with OS on multivariate analysis. DISCUSSION: Our study, using real-world data, suggests that patients benefit from treatment with lenvatinib following progression on immunotherapy in advanced HCC. The optimal sequencing of therapy for patients with advanced HCC following progression on immunotherapy remains unknown, and these results need to be validated in a clinical trial.

Social determinants of health: a need for better data capture in Asian American patients with hepatocellular cancer.

BACKGROUND: Social determinants of health lead to better cancer care. This multi-site, single-institution study sought to capture data on social determinants of health data in Asian Americans with hepatocellular carcinoma; this group constitutes 60% of patients with this malignancy and are often undertreated or not treated at all. METHODS: This study took advantage of an institutional initiative designed to capture and integrate social determinants of health data into the electronic medical record for all patients. Medical records of Asian Americans with hepatocellular cancer were reviewed to acquire data on housing instability, lack of transportation, financial concerns, and social isolation; a score of 1 indicated poor social determinants of health. RESULTS: Of 112 adult Asian American patients with hepatocellular cancer, 22 (20%) were Southeast Asian, and 74 (67%) described English proficiency/preference. Total noncompletion per domain (no question answered within that domain) was observed in 90 patients (80%) for housing instability; 90 (80%) for lack of transportation; 92 (82%) for financial hardship; and 90 (80%) for social isolation. A score of 1 (highest risk) was observed in 1 patient (0.9%) for housing instability; 1 (0.9%) lack of transportation; no patient for financial hardship; and 1 (0.9%) for social isolation. Of note, institution-wide benchmark total noncompletion rates were 0.3%, 0.3%, 47%, and 39% for these respective domains. CONCLUSION: High total noncompletion rates make social determinants of health data challenging to interpret and underscore the need for evidence-based guidelines on how best to capture such data in underserved patients.

Therapeutic Efficacy of Temsirolimus in a Patient-derived Model of Metastatic Fibrolamellar Hepatocellular Carcinoma.

BACKGROUND/AIM: Fibrolamellar hepatocellular carcinoma (FLHCC) is a rare tumor presenting in younger patients without chronic liver disease. Up to 80-100% develop recurrent disease, necessitating additional surgery or systemic treatment. Systemic options and pre-clinical treatment studies are lacking. We previously described patient-derived xenograft (PDX) development, allowing for pre-clinical studies. Herein, we develop FLHCC PDX models and utilize these to define tumor characteristics and determine the efficacy of systemic agents. MATERIALS AND METHODS: Primary and lymph node metastatic tumor tissues were obtained at the time of FLHCC resection in two patients. Tumor lysates were screened for protein upregulation. Cell lines were generated from metastatic and primary tumor tissue. The viability of the cell lines was assessed after treatment with temsirolimus, gemcitabine/oxaliplatin, and FOLFIRINOX. Two PDX models were developed from metastatic tissue. For in vivo studies, tumor-bearing mice were treated with temsirolimus, FOLFIRINOX, and Gemcitabine/oxaliplatin. RESULTS: PDX models were successfully generated from metastatic FLHCC, which closely recapitulated the original tumor. Upregulation of mTOR was seen in metastatic tissue compared to primary tumors. Cell lines from metastatic tissue demonstrated significant sensitivity to temsirolimus. In vivo testing of PDX models demonstrated a significant response to single-agent temsirolimus with minimal toxicity. CONCLUSION: Herein, we demonstrate the feasibility of developing PDX models that closely recapitulate FLHCC. Upregulation of mTOR was seen in metastatic tissue compared to primary tissue. The efficacy of mTOR inhibition with temsirolimus treatment suggests that the upregulation of the mTOR pathway may be a significant mechanism for growth in metastatic lesions and a potential target for therapeutics.

Gastrointestinal perforation after bevacizumab: a multi-site, single-institution study with a focus on survival.

BACKGROUND: Bevacizumab-induced gastrointestinal perforation is a rare but potentially devastating adverse event that has generated limited data on overall survival. Yet, such survival data are critical in guiding management. METHODS: This multi-site, single-institution retrospective study focused on all cancer patients who had received bevacizumab and who had suffered a well-documented gastrointestinal perforation from January 1, 2004 through January 20, 2022.The main goal was to report survival outcomes; Kaplan Meier curves and Cox survival models were used for this purpose. RESULTS: Eighty-nine patients are included in this report with a median age of 62 years (range 26-85). Colorectal cancer was the most common malignancy (n = 42). Thirty-nine patients underwent surgery for the perforation. Seventy-eight were deceased at the time of reporting with an overall median survival of all patients of 2.7 months (range 0-45 months), and 32 (36%) died within 30 days of perforation. In univariable survival analyses, no statistically significant associations were observed for age, gender, corticosteroid use, and time since last bevacizumab dose. However, surgically treated patients manifested a better survival (hazard ratio (HR) 0.49 (95% CI 0.31-0.78); p = 0.003). In multivariable analyses, surgery continued to be associated with improved survival (HR 0.47 (95% CI 0.29-0.74); p = 0.002), and corticosteroid use was associated with worse survival (HR 1.75 (95% CI 1.02-2.99); p = 0.04). CONCLUSION: Although gastrointestinal perforation after bevacizumab should be managed on a case-by-case basis, these descriptive survival data can help inform patients, their families, and healthcare providers as challenging management decisions arise.

Transfer function approach to understanding periodic forcing of signal transduction networks.

Signal transduction networks are responsible for transferring biochemical signals from the extracellular to the intracellular environment. Understanding the dynamics of these networks helps understand their biological processes. Signals are often delivered in pulses and oscillations. Therefore, understanding the dynamics of these networks under pulsatile and periodic stimuli is useful. One tool to do this is the transfer function. This tutorial outlines the basic theory behind the transfer function approach and walks through some examples of simple signal transduction networks.

Social Determinants of Health: A Need for Evidence-Based Guidelines on How to Capture Data on Underserved Patients.

Background . Social determinants of health lead to better cancer care. This multi-site, single-institution study sought to capture data on social determinants of health data in Asian Americans with hepatocellular carcinoma; this group constitutes 60% of patients with this malignancy and are often undertreated or not treated at all. Methods . This study took advantage of an institutional initiative designed to capture and integrate social determinants of health data into the electronic medical record for all patients. Medical records of Asian Americans with hepatocellular cancer were reviewed to acquire data on housing instability, lack of transportation, financial concerns, and social isolation; a score of 1 indicated poor social determinants of health. Results . Of 112 adult Asian American patients with hepatocellular cancer, 22 (20%) were Southeast Asian, and 74 (67%) described English proficiency. A score of 1 (highest risk) was observed in 1 patient (0.9%) for housing instability; 1 (0.9%) lack of transportation; no patient for financial hardship; and 1 (0.9%) for social isolation. However â€" and importantly -- total noncompletion per domain (no question answered within that domain) was observed in 90 patients (80%) for housing instability; 90 (80%) for lack of transportation; 92 (82%) for financial hardship; and 90 (80%) for social isolation. Of note, institution-wide benchmark total noncompletion rates were 0.3%, 0.3%, 47%, and 39% for these respective domains. Conclusion . High total noncompletion rates make social determinants of health data challenging to interpret and underscore the need for evidence-based guidelines on how best to capture such data in underserved patients.

Self-Organizing Democratized Learning: Toward Large-Scale Distributed Learning Systems.

Emerging cross-device artificial intelligence (AI) applications require a transition from conventional centralized learning systems toward large-scale distributed AI systems that can collaboratively perform complex learning tasks. In this regard, democratized learning (Dem-AI) lays out a holistic philosophy with underlying principles for building large-scale distributed and democratized machine learning systems. The outlined principles are meant to study a generalization in distributed learning systems that go beyond existing mechanisms such as federated learning (FL). Moreover, such learning systems rely on hierarchical self-organization of well-connected distributed learning agents who have limited and highly personalized data and can evolve and regulate themselves based on the underlying duality of specialized and generalized processes. Inspired by Dem-AI philosophy, a novel distributed learning approach is proposed in this article. The approach consists of a self-organizing hierarchical structuring mechanism based on agglomerative clustering, hierarchical generalization, and corresponding learning mechanism. Subsequently, hierarchical generalized learning problems in recursive forms are formulated and shown to be approximately solved using the solutions of distributed personalized learning problems and hierarchical update mechanisms. To that end, a distributed learning algorithm, namely DemLearn, is proposed. Extensive experiments on benchmark MNIST, Fashion-MNIST, FE-MNIST, and CIFAR-10 datasets show that the proposed algorithm demonstrates better results in the generalization performance of learning models in agents compared to the conventional FL algorithms. The detailed analysis provides useful observations to further handle both the generalization and specialization performance of the learning models in Dem-AI systems.

"It's Like You Stuck a Pin in It:" African American/Black Patients Describe Cutaneous Toxicity From Epidermal Growth Factor Receptor Inhibitors.

Background: Epidermal growth factor receptor (EGFR) inhibitors cause cutaneous toxicity in over 90% of patients. Conceivably, healthcare providers could overlook such toxicity in African American/Black patients because of a darker complexion. This qualitative study sought to learn about such cutaneous signs and symptoms and, if present, to report them in patients' own words. Methods: Any patient who self-identified as African American/Black and who had been prescribed an EGFR inhibitor was eligible. The current report focuses on patients' responses to the following question, "What have you noticed since starting your cancer treatment (the EGFR inhibitor), any particular symptoms or reactions, positive or negative?" All interview data were audio-recorded, transcribed, and then independently coded and analyzed by two investigators. Results: Fifteen patients are the focus of this report, and all described cutaneous toxicity. Patients appeared troubled by the cosmetic aspect of these drug-induced skin changes, including their acneiform appearance, describing "little pimples with little, little pus in it." Notable were comments on hyperpigmentation, "I'm a black person but…. became darker." Furthermore, patients experienced physical symptoms: "it itches;" "it's like you stuck a pin in it;" "stinging;" and "burning;". Conclusion: Although cutaneous toxicity from EGFR inhibitors might be more difficult to visualize among darkly complected patients, the graphic descriptions offered in this qualitative study underscore the need for clinicians to heighten their awareness of such toxicity in African American/Black patients.

Cabozantinib Following Immunotherapy in Patients with Advanced Hepatocellular Carcinoma.

(1) Background: Cabozantinib, a multikinase inhibitor, is approved by the Food and Drug Administration (FDA) for the treatment of advanced hepatocellular carcinoma (HCC) following progression on sorafenib. Recently, atezolizumab plus bevacizumab has been approved in the first line setting for advanced HCC and has become the new standard of care. Whether cabozantinib improves outcomes following progression on immunotherapy remains unknown. We describe the clinical outcomes following treatment with immunotherapy in patients with advanced HCC who received cabozantinib. (2) Methods: We conducted a multicentric, retrospective analysis of patients with advanced HCC diagnosed between 2010-2021 at Mayo Clinic in Minnesota, Arizona, and Florida who received cabozantinib. Median overall survival and progression free survival analyses were performed using the Kaplan-Meier method. Adverse events were determined using Common Terminology Criteria for Adverse Events (CTCAE). (3). Results: We identified 26 patients with advanced HCC who received cabozantinib following progression on immunotherapy. Median progression free survival on cabozantinib therapy was 2.1 months (95% CI: 1.3-3.9) and median overall survival from time of cabozantinib initiation was 7.7 months (95% CI: 5.3-14.9). (4) Conclusion: The optimal sequencing of therapy for patients with advanced HCC following progression on immunotherapy remains unknown. Our study demonstrates that patients may benefit from treatment with cabozantinib following progression on immunotherapy.

FDG-PET Predicts Neoadjuvant Therapy Response and Survival in Borderline Resectable/Locally Advanced Pancreatic Adenocarcinoma.

BACKGROUND: Neoadjuvant therapy (NAT) is used in borderline resectable/locally advanced (BR/LA) pancreatic ductal adenocarcinoma (PDAC). Anatomic imaging (CT/MRI) poorly predicts response, and biochemical (CA 19-9) markers are not useful (nonsecretors/nonelevated) in many patients. Pathologic response highly predicts survival post-NAT, but is only known postoperatively. Because metabolic imaging (FDG-PET) reveals primary tumor viability, this study aimed to evaluate our experience with preoperative FDG-PET in patients with BR/LA PDAC in predicting NAT response and survival. METHODS: We reviewed all patients with resected BR/LA PDAC who underwent NAT with FDG-PET within 60 days of resection. Pre- and post-NAT metabolic (FDG-PET) and biochemical (CA 19-9) responses were dichotomized in addition to pathologic responses. We compared post-NAT metabolic and biochemical responses as preoperative predictors of pathologic responses and recurrence-free survival (RFS) and overall survival (OS). RESULTS: We identified 202 eligible patients. Post-NAT, 58% of patients had optimization of CA 19-9 levels. Major metabolic and pathologic responses were present in 51% and 38% of patients, respectively. Median RFS and OS times were 21 and 48.7 months, respectively. Metabolic response was superior to biochemical response in predicting pathologic response (area under the curve, 0.86 vs 0.75; P<.001). Metabolic response was the only univariate preoperative predictor of OS (odds ratio, 0.25; 95% CI, 0.13-0.40), and was highly correlated (P=.001) with pathologic response as opposed to biochemical response alone. After multivariate adjustment, metabolic response was the single largest independent preoperative predictor (P<.001) for pathologic response (odds ratio, 43.2; 95% CI, 16.9-153.2), RFS (hazard ratio, 0.37; 95% CI, 0.2-0.6), and OS (hazard ratio, 0.21; 95% CI, 0.1-0.4). CONCLUSIONS: Among patients with post-NAT resected BR/LA PDAC, FDG-PET highly predicts pathologic response and survival, superior to biochemical responses alone. Given the poor ability of anatomic imaging or biochemical markers to assess NAT responses in these patients, FDG-PET is a preoperative metric of NAT efficacy, thereby allowing potential therapeutic alterations and surgical treatment decisions. We suggest that FDG-PET should be an adjunct and recommended modality during the NAT phase of care for these patients.

Outcomes following FGFR Inhibitor Therapy in Patients with Cholangiocarcinoma.

BACKGROUND: Sequencing efforts in patients with cholangiocarcinoma (CCA) have provided insights into molecular mechanisms including fibroblast growth factor receptor (FGFR) alterations. There is a lack of data on outcomes of patients following cessation of FGFR inhibitor (FGFRi) therapy. OBJECTIVE: We describe the clinical outcomes following initial FGFRi treatment in CCA harboring FGFR alterations. PATIENTS AND METHODS: We conducted a multicentric, retrospective analysis of patients with FGFR-altered CCA diagnosed between 2010 and 2021. Median overall survival (OS) and progression-free survival (PFS) analyses were performed using the Kaplan-Meier method. RESULTS: We identified 88 advanced or metastatic CCA patients, 28 males (31.8%) and 60 females (68.2%), harboring FGFR alterations who received FGFRi. Median PFS on initial FGFRi was 6.6 months (95% confidence interval (CI): 5.5-8.3). Following cessation of first FGFRi therapy, 55% patients received systemic therapy as next line: 67% received chemotherapy or targeted treatment and 33% received another FGFRi. Median PFS for patients who received chemotherapy or targeted agent was 2.1 months (95% CI 1.6-5.7) and for patients who received a second FGFRi was 3.7 months (95% CI 1.5-not evaluable). OS was 2.0 months for patients who did not receive any therapy compared to 8.7 months with chemotherapy and 8.6 months with another FGFRi. In addition, one patient treated with pemigatinib developed FGFR2 M540_I541insMM alteration at time of resistance, which has not been functionally characterized and its effect on protein function remains unknown. CONCLUSIONS: Understanding the mechanisms of resistance with FGFRi is essential to understand sequencing of treatments. In this study, patients received standard chemotherapy in the first line and were fit enough to be considered for subsequent therapy with an FGFRi. Almost half of the patients become ineligible to receive further systemic therapy following progression on FGFRi. As more agents are being introduced, detailed understanding of outcomes following treatment with an FGFRi, including subsequent FGFRi, is essential.

Hepatocellular carcinoma downstaging for liver transplantation in the era of systemic combined therapy with anti-VEGF/TKI and immunotherapy.

Hepatocellular carcinoma remains a global health challenge affecting close to 1 million cases yearly. Liver transplantation provides the best long-term outcomes for those meeting strict criteria. Efforts have been made to expand these criteria, whereas others have attempted downstaging approaches. Although locoregional approaches to downstaging are appealing and have demonstrated efficacy, limitations and challenges exists including poor imaging modality to assess response and appropriate endpoints along the process. Recent advances in systemic treatments including immune checkpoint inhibitors alone or in combination with tyrosine kinase inhibitors have prompted the discussion regarding their role for downstaging disease prior to transplantation. Here, we provide a review of prior locoregional approaches for downstaging, new systemic agents and their role for downstaging, and finally, key and critical considerations of the assessment, endpoints, and optimal designs in clinical trials to address this key question.

Tumor Mutational Burden Is a Potential Predictive Biomarker for Response to Immune Checkpoint Inhibitors in Patients With Advanced Biliary Tract Cancer.

PURPOSE: Patients with advanced biliary tract cancers (BTCs) have a dismal prognosis. This multisite, single-institution study analyzed the efficacy and safety of immune checkpoint inhibitors (ICIs) in patients with advanced BTC. MATERIALS AND METHODS: The prospectively maintained institutional database was searched for patients with advanced BTC. Electronic medical records of the patients with advanced BTC treated with an ICI that included programmed death-1 or programmed death-ligand 1 blockers were retrospectively reviewed to obtain data on patient characteristics, tumor characteristics including molecular biomarkers, detailed treatment, response characteristics, survival, and toxicities. The analysis included overall response rate, survival, and correlation between survival and molecular biomarkers. RESULTS: The institutional database query identified 47 patients with advanced BTC who received at least one dose of an ICI; 11 (24%) patients in the first-line setting and the rest of the patients had refractory disease. The median age of the cohort was 62 years, and 51% were female. The overall response rate was 10.6%, with a disease control rate of 53.2%. The median progression-free survival (PFS) and overall survival were 3.6 months and 6.9 months, respectively. Biomarker analysis revealed improved PFS in patients with tumor mutational burden > 5 mutations per megabase (median PFS: 6.4 v 2.2 months; P = .0027). No unexpected adverse events were observed. CONCLUSION: ICIs are well tolerated and have modest antitumor activity in patients with advanced BTC. The study result supports the exploration of tumor mutational burden as a potential predictive biomarker for response to ICIs in patients with advanced BTC.

Shifting Epidemiology of Hepatocellular Carcinoma in Far Eastern and Southeast Asian Patients: Explanations and Implications.

PURPOSE OF REVIEW: Liver cancer is a major health burden globally with high rates in the Far East and Southeast Asia. Hepatitis B virus and hepatitis C virus remain the major causes of hepatocellular carcinoma (HCC) worldwide; however, the epidemiology is changing. Here, we review the changing epidemiological changes among Far East and Southeast Asians and among Asian Americans in the USA. RECENT FINDINGS: HBV- and HCV-induced HCC is anticipated to decline in incidence. In contrast, nonalcoholic fatty liver disease-induced HCC will outrank viral hepatitis in the next decade. Alcoholic liver disease will remain a persistent risk factor for HCC. These epidemiological shifts might have implications for the care of patients with HCC as described in this review. Societal changes are impacting the global incidence of HCC and will likely also impact the care of patients with this malignancy.

A New Look and Convergence Rate of Federated Multitask Learning With Laplacian Regularization.

Non-independent and identically distributed (non-IID) data distribution among clients is considered as the key factor that degrades the performance of federated learning (FL). Several approaches to handle non-IID data, such as personalized FL and federated multitask learning (FMTL), are of great interest to research communities. In this work, first, we formulate the FMTL problem using Laplacian regularization to explicitly leverage the relationships among the models of clients for multitask learning. Then, we introduce a new view of the FMTL problem, which, for the first time, shows that the formulated FMTL problem can be used for conventional FL and personalized FL. We also propose two algorithms and decentrali-zed () to solve the formulated FMTL problem in communication-centralized and decentralized schemes, respectively. Theoretically, we prove that the convergence rates of both algorithms achieve linear speedup for strongly convex and sublinear speedup of order 1/2 for nonconvex objectives. Experimentally, we show that our algorithms outperform the conventional algorithm FedAvg, FedProx, SCAFFOLD, and AFL in FL settings, MOCHA in FMTL settings, as well as pFedMe and Per-FedAvg in personalized FL settings.