scholarly journals A Novel Nine-lncRNA Risk Signature Correlates With Immunotherapy in Hepatocellular Carcinoma

2021 ◽  
Vol 11 ◽  
Author(s):  
Ye Nie ◽  
Jianhui Li ◽  
Wenlong Wu ◽  
Dongnan Guo ◽  
Xinjun Lei ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Immune Checkpoint ◽  
Immune Checkpoint Inhibitors ◽  
Response Rate ◽  
Risk Group ◽  
Checkpoint Inhibitors ◽  
Risk Groups ◽  
Low Risk ◽  
Significant Difference ◽  
Checkpoint Genes

BackgroundHepatocellular carcinoma is one of the most common malignant tumors with a very high mortality rate. The emergence of immunotherapy has brought hope for the cure of hepatocellular carcinoma. Only a small number of patients respond to immune checkpoint inhibitors, and ferroptosis and tertiary lymphoid structure contribute to the increased response rate of immune checkpoint inhibitors; thus, we first need to identify those who are sensitive to immunotherapy and then develop different methods to improve sensitivity for different groups.MethodsThe sequencing data of hepatocellular carcinoma from The Cancer Genome Atlas and Gene Expression Omnibus was downloaded to identify the immune-related long non-coding RNAs (lncRNAs). LncRNAs related to survival data were screened out, and a risk signature was established using Cox proportional hazard regression model. R software was used to calculate the riskScore of each patient, and the patients were divided into high- and low-risk groups. The prognostic value of riskScore and its application in clinical chemotherapeutic drugs were confirmed. The relationship between riskScore and immune checkpoint genes, ferroptosis genes, and genes related to tertiary lymphoid structure formation was analyzed by Spearman method. TIMER, CIBERSORT, ssGSEA, and ImmuCellAI were used to evaluate the relative number of lymphocytes in tumor. The Wilcoxon signed-rank test confirmed differences in immunophenoscore between the high- and low-risk groups.ResultsData analysis revealed that our signature could well predict the 1-, 2-, 3-, and 5-year survival rates of hepatocellular carcinoma and to predict susceptible populations with Sorafenib. The risk signature were significantly correlated with immune checkpoint genes, ferroptosis genes, and tertiary lymphoid structure-forming genes, and predicted tumor-infiltrating lymphocyte status. There was a significant difference in IPS scores between the low-risk group and the high-risk group, while the low-risk group had higher scores.ConclusionThe riskScore obtained from an immune-related lncRNA signature could successfully predict the survival time and reflect the efficacy of immune checkpoint inhibitors. More importantly, it is possible to select different treatments for different hepatocellular carcinoma patients that increase the response rate of immune checkpoint inhibitors and will help improve the individualized treatment of hepatocellular carcinoma.

scholarly journals Risk Signature Related to Immunotherapy Reaction of Hepatocellular Carcinoma Based on the Immune-Related Genes Associated With CD8+ T Cell Infiltration

2021 ◽  
Vol 8 ◽  
Author(s):  
Yiping Zou ◽  
Zhihong Chen ◽  
Hongwei Han ◽  
Shiye Ruan ◽  
Liang Jin ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
T Cell ◽  
Immune Checkpoint ◽  
Immune Checkpoint Inhibitors ◽  
Response Rate ◽  
Risk Group ◽  
Checkpoint Inhibitors ◽  
Cell Infiltration ◽  
T Cell Infiltration ◽  
Immune Related Genes

Background: Hepatocellular carcinoma (HCC) is the most common histological type of liver cancer, with an unsatisfactory long-term survival rate. Despite immune checkpoint inhibitors for HCC have got glories in recent clinical trials, the relatively low response rate is still a thorny problem. Therefore, there is an urgent need to screen biomarkers of HCC to predict the prognosis and efficacy of immunotherapy.Methods: Gene expression profiles of HCC were retrieved from TCGA, GEO, and ICGC databases while the immune-related genes (IRGs) were retrieved from the ImmPort database. CIBERSORT and WGCNA algorithms were combined to identify the gene module most related to CD8+ T cells in the GEO cohort. Subsequently, the genes in hub modules were subjected to univariate, LASSO, and multivariate Cox regression analyses in the TCGA cohort to develop a risk signature. Afterward, the accuracy of the risk signature was validated by the ICGC cohort, and its relationships with CD8+ T cell infiltration and PDL1 expression were explored.Results: Nine IRGs were finally incorporated into a risk signature. Patients in the high-risk group had a poorer prognosis than those in the low-risk group. Confirmed by TCGA and ICGC cohorts, the risk signature possessed a relatively high accuracy. Additionally, the risk signature was demonstrated as an independent prognostic factor and closely related to the CD8+ T cell infiltration and PDL1 expression.Conclusion: A risk signature was constructed to predict the prognosis of HCC patients and detect patients who may have a higher positive response rate to immune checkpoint inhibitors.

The Current Role of Immunotherapy in mCRPC: A Systematic Review

2021 ◽  
Vol 8 (7) ◽  
Author(s):  
Dalibey H ◽  
◽  
Hansen TF ◽  
Zedan AH ◽  
◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Systematic Review ◽  
Overall Survival ◽  
Immune Checkpoint ◽  
Immune Checkpoint Inhibitors ◽  
Response Rate ◽  
Checkpoint Inhibitors ◽  
Specific Antigen ◽  
Treatment Modalities ◽  
Significant Difference

Background: The development of immunotherapy has shown promising results in several malignant diseases, including prostate cancer, calling for a systematic review of the current literature. This review aims to evaluate the present data and prospects of immune checkpoint inhibitors in metastatic Castration Resistant Prostate Cancer (mCRPC). Methods: Articles were identified via a systematic search of the electronic database Pubmed, in accordance with the PICO process and following the PRISMA guidelines. Articles in English studying immune checkpoint inhibitors in patients with mCRPC published between March 2010 and March 2020 were eligible for inclusion. Endpoints of interest were Overall Survival (OS), Progression-Free Survival (PFS), clinical Overall Response Rate (ORR), and Prostate-Specific Antigen (PSA) response rate. Results: Ten articles were identified as eligible for inclusion. The studies primarily explored the use of Ipilimumab, a CTLA-4 inhibitor, and Pembrolizumab, a PD-1 inhibitor. These drugs were both used either as monotherapy or in combination with other treatment modalities. The largest trial included in the review demonstrated no significant difference in overall survival between the intervention and placebo. However, two studies presented promising data combing immunotherapy and immune vaccines. Grade 3 and 4 adverse events ranging from 10.1% to 82.3%, whit diarrhea, rash, and fatigue were the most frequently reported. Forty relevant ongoing trials were identified exploring immunotherapy with or without a parallel treatment modality. Conclusion: Overall, the current data shows that the effect of immune checkpoint inhibitors as monotherapy may have limited impact on mCRPC, and the results from ongoing combinational trials are eagerly awaited.

scholarly journals Predicting cardiac adverse events in patients receiving immune checkpoint inhibitors: a machine learning approach

2021 ◽  
Vol 9 (10) ◽  
pp. e002545
Author(s):  
Samuel Peter Heilbroner ◽  
Reed Few ◽  
Judith Mueller ◽  
Jitesh Chalwa ◽  
Francois Charest ◽  
...  
Keyword(s):  
Machine Learning ◽  
Risk Factors ◽  
High Risk ◽  
Immune Checkpoint ◽  
Immune Checkpoint Inhibitors ◽  
Risk Group ◽  
Checkpoint Inhibitors ◽  
Low Risk ◽  
Cardiac Events ◽  
Programmed Death

BackgroundTreatment with immune checkpoint inhibitors (ICIs) has been associated with an increased rate of cardiac events. There are limited data on the risk factors that predict cardiac events in patients treated with ICIs. Therefore, we created a machine learning (ML) model to predict cardiac events in this at-risk population.MethodsWe leveraged the CancerLinQ database curated by the American Society of Clinical Oncology and applied an XGBoosted decision tree to predict cardiac events in patients taking programmed death receptor-1 (PD-1) or programmed death ligand-1 (PD-L1) therapy. All curated data from patients with non-small cell lung cancer, melanoma, and renal cell carcinoma, and who were prescribed PD-1/PD-L1 therapy between 2013 and 2019, were used for training, feature interpretation, and model performance evaluation. A total of 356 potential risk factors were included in the model, including elements of patient medical history, social history, vital signs, common laboratory tests, oncological history, medication history and PD-1/PD-L1-specific factors like PD-L1 tumor expression.ResultsOur study population consisted of 4960 patients treated with PD-1/PD-L1 therapy, of whom 418 had a cardiac event. The following were key predictors of cardiac events: increased age, corticosteroids, laboratory abnormalities and medications suggestive of a history of heart disease, the extremes of weight, a lower baseline or on-treatment percentage of lymphocytes, and a higher percentage of neutrophils. The final model predicted cardiac events with an area under the curve–receiver operating characteristic of 0.65 (95% CI 0.58 to 0.75). Using our model, we divided patients into low-risk and high-risk subgroups. At 100 days, the cumulative incidence of cardiac events was 3.3% in the low-risk group and 6.1% in the high-risk group (p<0.001).ConclusionsML can be used to predict cardiac events in patients taking PD-1/PD-L1 therapy. Cardiac risk was driven by immunological factors (eg, percentage of lymphocytes), oncological factors (eg, low weight), and a cardiac history.

scholarly journals Identification of an Immune-Related LncRNA Signature in Gastric Cancer to Predict Survival and Response to Immune Checkpoint Inhibitors

2021 ◽  
Vol 9 ◽  
Author(s):  
Zuoyou Ding ◽  
Ran Li ◽  
Jun Han ◽  
Diya Sun ◽  
Lei Shen ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Overall Survival ◽  
Immune Checkpoint ◽  
Immune Checkpoint Inhibitors ◽  
Risk Group ◽  
Checkpoint Inhibitors ◽  
High Risk Group ◽  
Low Risk ◽  
Predictive Capability ◽  
Invasive Capacity

Immune microenvironment in gastric cancer is closely associated with patient’s prognosis. Long non-coding RNAs (lncRNAs) are emerging as key regulators of immune responses. In this study, we aimed to construct a prognostic model based on immune-related lncRNAs (IRLs) to predict the overall survival and response to immune checkpoint inhibitors (ICIs) of gastric cancer (GC) patients. The IRL signature was constructed through a bioinformatics method, and its predictive capability was validated. A stratification analysis indicates that the IRL signature can distinguish different risk patients. A nomogram based on the IRL and other clinical variables efficiently predicted the overall survival of GC patients. The landscape of tumor microenvironment and mutation status partially explain this signature’s predictive capability. We found the level of cancer-associated fibroblasts, endothelial cells, M2 macrophages, and stroma cells was high in the high-risk group, while the number of CD8+ T cells and T follicular helper cells was high in the low-risk group. Immunophenoscore (IPS) is validated for ICI response, and the IRL signature low-risk group received higher IPS, representing a more immunogenic phenotype that was more inclined to respond to ICIs. In addition, we found RNF144A-AS1 was highly expressed in GC patients and promoted the proliferation, migration, and invasive capacity of GC cells. We concluded that the IRL signature represents a novel useful model for evaluating GC survival outcomes and could be implemented to optimize the selection of patients to receive ICI treatment.

scholarly journals Construction and validation of a novel pyroptosis-related signature to predict prognosis in patients with cutaneous melanoma

2021 ◽  
Vol 19 (1) ◽  
pp. 688-706
Author(s):  
Zehao Niu ◽  
◽  
Yujian Xu ◽  
Yan Li ◽  
Youbai Chen ◽  
...  
Keyword(s):  
Risk Score ◽  
Immune Checkpoint ◽  
Cutaneous Melanoma ◽  
Immune Checkpoint Inhibitors ◽  
Cox Regression ◽  
Risk Group ◽  
Checkpoint Inhibitors ◽  
External Validation ◽  
Low Risk ◽  
Health Concern

<abstract> <p>Skin cutaneous melanoma (SKCM) is one of the most malignant skin cancers and remains a health concern worldwide. Pyroptosis is a newly recognized form of programmed cell death and plays a vital role in cancer progression. We aim to construct a prognostic model for SKCM patients based on pyroptosis-related genes (PRGs). SKCM patients from The Cancer Genome Atlas (TCGA) were divided into training and validation cohorts. We used GSE65904 downloaded from GEO database as an external validation cohort. We performed Cox regression and the least absolute shrinkage and selection operator (LASSO) regression to identify prognostic genes and built a risk score. Patients were divided into high- and low-risk groups based on the risk score. Differently expressed genes (DEGs), immune cell infiltration and immune-related pathways activation were compared between the two groups. We established a model containing 4 PRGs, i.e., GSDMA, GSDMC, AIM2 and NOD2. The overall survival (OS) time was significantly different between the 2 groups. The risk score was an independent predictor for prognosis in both the uni- and multi-variable Cox regressions. Gene ontology (GO) and Kyoto Encylopedia of Genes and Genomes (KEGG) analyses showed that DEGs were enriched in immune-related pathways. Most types of immune cells were highly expressed in the low risk group. All immune pathways were significantly up-regulated in the low-risk group. In addition, low-risk patients had a better response to immune checkpoint inhibitors. Our novel pyroptosis-related gene signature could predict the prognosis of SKCM patients and their response to immune checkpoint inhibitors.</p> </abstract>

Immune checkpoint and checkpoint inhibitors in hepatocellular carcinoma

2018 ◽  
Vol 1 (1) ◽  
pp. 28-32
Author(s):  
Piyawat Komolmit
Keyword(s):  
Hepatocellular Carcinoma ◽  
T Cells ◽  
Major Histocompatibility Complex ◽  
T Cell Receptor ◽  
Immune Checkpoint ◽  
Immune Checkpoint Inhibitors ◽  
Checkpoint Inhibitors ◽  
Cell Receptor ◽  
Immune Checkpoints ◽  
Histocompatibility Complex

การรักษามะเร็งด้วยแนวความคิดของการกระตุ้นให้ภูมิต้านทานของร่างกายไปทำลายเซลล์มะเร็งนั้น ปัจจุบันได้รับการพิสูจน์ชัดว่าวิธีการนี้สามารถหยุดยั้งการแพร่กระจายของเซลล์มะเร็ง โดยไม่ก่อให้เกิดภาวะแทรกซ้อนทางปฏิกิริยาภูมิต้านทานต่ออวัยวะส่วนอื่นที่รุนแรง สามารถนำมาใช้ทางคลินิกได้ ยุคของการรักษามะเร็งกำลังเปลี่ยนจากยุคของยาเคมีบำบัดเข้าสู่การรักษาด้วยภูมิต้านทาน หรือ immunotherapy ยากลุ่ม Immune checkpoint inhibitors โดยเฉพาะ PD-1 กับ CTLA-4 inhibitors จะเข้ามามีบทบาทในการรักษามะเร็งตับในระยะเวลาอันใกล้ จำเป็นแพทย์จะต้องมีความรู้ความเข้าใจในพื้นฐานของ immune checkpoints และยาที่ไปยับยั้งโมเลกุลเหล่านี้ Figure 1 เมื่อ T cells รับรู้แอนทิเจนผ่านทาง TCR/MHC จะมีปฏิกิริยาระหว่าง co-receptors หรือ immune checkpoints กับ ligands บน APCs หรือ เซลล์มะเร็ง ทั้งแบบกระตุ้น (co-stimulation) หรือยับยั้ง (co-inhibition) TCR = T cell receptor, MHC = major histocompatibility complex

scholarly journals Ipilimumab and nivolumab/pembrolizumab in advanced hepatocellular carcinoma refractory to prior immune checkpoint inhibitors

2021 ◽  
Vol 9 (2) ◽  
pp. e001945 ◽  
Author(s):  
Jeffrey Sum Lung Wong ◽  
Gerry Gin Wai Kwok ◽  
Vikki Tang ◽  
Bryan Cho Wing Li ◽  
Roland Leung ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Immune Checkpoint ◽  
Immune Checkpoint Inhibitors ◽  
Checkpoint Inhibitors ◽  
Objective Response ◽  
Acquired Resistance ◽  
Survival Rates ◽  
Advanced Hepatocellular Carcinoma ◽  
Primary Resistance ◽  
Advanced Hcc

BackgroundProgrammed cell death protein 1 (PD-1) pathway blockade with immune checkpoint inhibitors (ICIs) is a standard therapy in advanced hepatocellular carcinoma (HCC) nowadays. No strategies to overcome ICI resistance have been described. We aimed to evaluate the use of ipilimumab and anti-PD-1 ICIs (nivolumab or pembrolizumab) combinations in patients with advanced HCC with progression on prior ICIs.MethodsPatients with advanced HCC with documented tumor progression on prior ICIs and subsequently received ipilimumab with nivolumab/pembrolizumab were analyzed. Objective response rate (ORR), median duration of response (DOR), time-to-progression (TTP), overall survival (OS), and treatment-related adverse events (TRAEs) were assessed.ResultsTwenty-five patients were included. The median age was 62 (range: 51–83). About 68% were of Child-Pugh (CP) Grade A and 48% had primary resistance to prior ICI. At median follow-up of 37.7 months, the ORR was 16% with a median DOR of 11.5 months (range: 2.76–30.3). Three patients achieved complete response. The median TTP was 2.96 months (95% CI: 1.61 to 4.31). Median OS was 10.9 months (95% CI: 3.99 to 17.8) and the 1 year, 2 year and 3 year survival rates were 42.4%, 32.3% and 21.6%, respectively. The ORR was 16.7% in primary resistance group and 15.4% in acquired resistance group (p=1.00). All responders were of CP A and Albumin-Bilirubin (ALBI) Grade 1 or 2. CP and ALBI Grades were significantly associated with OS (p=0.006 and p<0.001, respectively). Overall, 52% of patients experienced TRAEs and 12% experienced Grade 3 or above TRAEs.ConclusionsIpilimumab and nivolumab/pembrolizumab can achieve durable antitumor activity and encouraging survival outcomes with acceptable toxicity in patients with advanced HCC who had prior treatment with ICIs.

scholarly journals 363 Vactosertib and durvalumab as second or later line treatment for PD-L1 positive non-small cell lung cancer: interim result

2020 ◽  
Vol 8 (Suppl 3) ◽  
pp. A388-A388
Author(s):  
Byoung Chul Cho ◽  
Ki Hyeong Lee ◽  
Ji-Youn Han ◽  
Byoung Yong Shim ◽  
Hye Ryun Kim ◽  
...  
Keyword(s):  
Immune Checkpoint ◽  
Objective Response Rate ◽  
Immune Checkpoint Inhibitors ◽  
Advanced Nsclc ◽  
Response Rate ◽  
Checkpoint Inhibitors ◽  
Objective Response ◽  
Platinum Based Chemotherapy ◽  
Number Of Patients ◽  
Anti Tumor Activity

BackgroundTargeting transforming growth factor-β (TGF-β) is reported to augment the efficacy of immune checkpoint inhibitors (ICIs) through either enhanced anti-tumor immunity or the correction of tumor microenvironment (TME). Therefore, the combination of vactosertib, a highly selective TGF-β RI kinase inhibitor, and durvalumab is anticipated to improve anti-tumor activity of the ICI. A phase 1b/2a study was conducted to evaluate the combination of vactosertib and durvalumab in patients with advanced NSCLC who progressed after platinum-based chemotherapy.MethodsPatients were treated with vactosertib at a dose of 200 mg twice daily (five days on and two days off) and durvalumab at a dose of 1500 mg every four weeks. Eligible patients were ≥19 years old with good performance status (ECOG 0–1) and have no prior exposure to immune checkpoint inhibitors or other TGF- β R1 kinase inhibitors. The objectives of this analysis were to evaluate the safety, antitumor activity including objective response rate (ORR), duration of response (DOR), and time to response (TTR) as well as circulating pharmacodynamic biomarkers related to TGF-β signaling. Response was assessed per RECIST (v1.1).ResultsBy August 4 2020, twenty-six PD-L1 positive (SP263 assay) patients were analyzed. Median age was 61.5 years (range 48–83), 69.2% were male, median number of previous lines of chemotherapy was 1 (range 1–4), and all patients were PD-L1 positive (15 patients with PD-L1≥25% and 11 patients with PD-L1 1–24%). The most frequently reported treatment-related adverse events (TRAE) were itching (38.5%) and skin rash (34.6%), but no Gr≥3 itching and rash were observed. Each case of the following was reported as Grade 3 TRAEs: adrenal insufficiency, anemia, and pneumonitis; Grade 4 TRAE, CPK increase, was observed in one patient. Objective response rate was 30.8% and 40.0% in patients with PD-L1≥1% and ≥25% respectively. Circulating PAI-1 and CTGF evaluated in 15 patients decreased significantly on Cycle 1 day 5. Ongoing biomarker results will be presented.ConclusionsThe combination of vactosertib and durvalumab has demonstrated a manageable safety profile and encouraging anti-tumor activity as a potential therapeutic strategy in patients with advanced NSCLC. The efficacy outcomes of this combination in a larger number of patients with advanced NSCLC will be followed.Trial RegistrationNCT03732274Ethics ApprovalThe study was approved by Ethics Board of Severance Hospital (4-2018-0892), National Cancer Center (NCC2019-0057), St. Vincent’s Hospital (VC19MDDF0205), and Chungbuk National University Hospital (2019-08-015).

Efficacy of immunotherapy in hepatocholangiocarcinoma (HCC-CC): Proof of concept.

2021 ◽  
Vol 39 (15_suppl) ◽  
pp. e16194-e16194
Author(s):  
Osama Diab ◽  
Maloree Khan ◽  
Saqib Abbasi ◽  
Anwaar Saeed ◽  
Anup Kasi ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Immune Checkpoint ◽  
Immune Checkpoint Inhibitors ◽  
Immune Checkpoint Inhibitor ◽  
Checkpoint Inhibitor ◽  
Checkpoint Inhibitors ◽  
Line Treatment ◽  
First Line ◽  
Liver Cancers ◽  
First Line Treatment

e16194 Background: Hepatocholangiocarcinoma (HCC-CC) is a rare form of cancer with a poor prognosis. Of all primary liver cancers, the incidence of HCC-CC ranges from 0.4 to 14.2%. HCC-CC is a mixed carcinoma with findings of both hepatocellular carcinoma and cholangiocarcinoma. Immune checkpoint inhibitors are a potent first line treatment in hepatocellular carcinoma with multiple clinical trial showing effectiveness in cholangiocarcinoma. HCC-CC has limited proven treatment options as patients are generally excluded from clinical trials. In this study we reviewed outcomes of patients with HCC-CC who received immune checkpoint inhibitor in a single center. Methods: Records of patients who had a pathological confirmed HCC-CC by a subspecialized hepatic pathologist at the University of Kansas medical center were reviewed. We identified 6 patients with locally advanced unresectable or metastatic HCC-CC that received immune checkpoint inhibitor between February 2017 and January 2021. Baseline characteristics were obtained, as well as best response, line of therapy, and duration of response. Results: Of the six patients 4 (66%) received PD-1 inhibitor alone and 2 (34%) received combination therapy with CTLA-4 inhibitor for the treatment of HCC-CC. There were 3 (50%) females and 6 (100%) with prior hepatitis C infection. four (66%) patients had metastatic disease and 2 had locally unresectable advanced disease. Objective response rate was 83.3%. One patient achieved complete response and had a treatment holiday after receiving treatment for 2 years, and restarted immunotherapy upon relapse. Four patients had a partial response, of which two passed away after disease progression. One patient had stable disease on 2 different lines of immunotherapy then progressed. Of those who responded, one patient received immunotherapy, 3 (50%) received liver directed therapy and two received chemotherapy or Lenvatinib as first line treatment (Table). Conclusions: Immune checkpoint inhibitors demonstrate potential activity in patients with HCC-CC without unexpected side effect in this unmet need high-risk population. Larger studies are needed to confirm activity and efficacy in this setting.[Table: see text]

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