Dataset Information

Nab-Paclitaxel as a potential partner with checkpoint inhibitors in solid tumors.

ABSTRACT: Tumors recognized by the host immune system are associated with better survival. However, the immune system is often suppressed in patients with established tumor burden. Stimulating the immune system to detect and kill tumor cells has been a challenge in cancer therapy for some time. Recently, novel cancer immunotherapies, such as immune checkpoint inhibitors, monoclonal antibodies, and vaccine therapies, have emerged as promising therapeutic approaches for many solid tumors. However, for some tumors, immunotherapy alone has not provided significant benefits, and some may even be fully resistant to immunotherapy. It has been suggested that the immune system may require "priming" before an immunotherapy can elicit an immune response. Although chemotherapies are believed to be immunosuppressive, when given at the right dose and sequence these agents may provide this "priming" effect for the immune system. In addition to direct cytotoxic killing of tumor cells, standard chemotherapeutic agents can elicit immunogenicity through various mechanisms. This review highlights the general immunomodulatory properties of chemotherapy agents. It also provides a rationale for combined therapy with nab-paclitaxel and immune checkpoint inhibitors. Recent clinical trial data with these combination regimens in solid tumors are presented, along with a summary of ongoing trials.

SUBMITTER: Soliman HH

PROVIDER: S-EPMC5189972 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

<i>nab</i>-Paclitaxel as a potential partner with checkpoint inhibitors in solid tumors.

Soliman Hatem H HH

OncoTargets and therapy 20161221

Tumors recognized by the host immune system are associated with better survival. However, the immune system is often suppressed in patients with established tumor burden. Stimulating the immune system to detect and kill tumor cells has been a challenge in cancer therapy for some time. Recently, novel cancer immunotherapies, such as immune checkpoint inhibitors, monoclonal antibodies, and vaccine therapies, have emerged as promising therapeutic approaches for many solid tumors. However, for some ...[more]

PMID: 28053544

Similar Datasets

Project description:Background: A large proportion of patients eventually experience disease progression despite treatment with immune checkpoint inhibitors (ICIs), but subsequent treatment options are limited for this population. Retreatment with the same or different types of ICIs is a possible strategy, but the clinical efficacy and safety data are limited. This systematic review aims to evaluate the efficacy and safety of ICIs retreatment in patients with solid tumors after disease progression to previous ICIs.Methods: We searched MEDLINE, EMBASE, the Cochrane Library, and major meeting libraries for prospective studies. The primary outcomes included the objective response rate (ORR), disease control rate (DCR), median overall survival (mOS), and the incidence of grade ?3 immune-related adverse events (irAEs).Results: We identified 22 prospective studies including 1865 patients. For disease progression after CTLA-4 inhibitors, three studies evaluated anti-CTLA-4 retreatment. The ORR was 12-23%, the DCR was 48.4-67.7%, and the mOS was 12?months. The incidence of grade ?3 irAEs was 5.9-25%. Four studies evaluated anti-programmed cell death protein 1 (PD-1) retreatment. The ORR was 22-36%, the DCR was 40-64%, and the mOS was 13.4-20.6?months. The incidence of grade ?3 irAEs was <10%. For disease progression after PD-(L)1 inhibitors, 13 studies evaluated anti-PD-(L)1 retreatment. The ORR was 5-53%, the DCR was 38-83%, and the mOS was 13.9?months. The incidence of grade ?3 irAEs was 0-15% for patients retreated with single anti-PD-(L)1 agent, but was higher (0-64%) for those retreated with ICIs combined with other agents. Two studies evaluated anti-cytotoxic T-lymphocyte associated protein 4 (CTLA-4) retreatment. The ORR was 0-22.4%, the DCR was 50-72%, and the mOS was 4-21?months. The incidence of grade ?3 irAEs was 26-61%.Conclusion: Retreatment with ICIs is feasible for cancer patients considering its encouraging efficacy and tolerable safety. Further prospective trials are needed to explore more promising strategies and identify suitable populations for retreatment.

Project description:LESSONS LEARNED:Itacitinib in combination with nab-paclitaxel plus gemcitabine demonstrated an acceptable safety profile with clinical activity in patients with advanced solid tumors including pancreatic cancer.The results support future studies of itacitinib as a component of combination regimens with other immunologic and targeted small molecule anticancer agents. BACKGROUND:Cytokine-mediated signaling via JAK/STAT is central to tumor growth, survival, and systemic inflammation, which is associated with cancer cachexia, particularly in pancreatic cancer. Because of their centrality in the pathogenesis of cancer cachexia and progression, JAK isozymes have emerged as promising therapeutic targets. Preclinical studies have demonstrated antiproliferative effects of JAK/STAT pathway inhibition in both in vitro and in vivo models of cancer, including pancreatic cancer. METHODS:This phase Ib/II dose-optimization study assessed itacitinib, a selective JAK1 inhibitor, combined with nab-paclitaxel plus gemcitabine in adults with treatment-naïve advanced/metastatic disease (Part 1) or pancreatic adenocarcinoma (Parts 2/2A; NCT01858883). Starting doses (Part 1) were itacitinib 400 mg, nab-paclitaxel 125 mg/m2, and gemcitabine 1,000 mg/m2. Additional dose levels incorporated were granulocyte colony-stimulating factor, de-escalations of itacitinib to 300 mg once daily (QD), nab-paclitaxel to 100 mg/m2, and gemcitabine to 750 mg/m2. RESULTS:Among 55 patients in Part 1, 6 developed seven hematologic dose-limiting toxicities (Cycle 1). Itacitinib 300 mg plus nab-paclitaxel 125 mg/m2 and gemcitabine 1,000 mg/m2 was tolerated and expanded in Part 2. Treatment discontinuation and grade 3/4 neutropenia rates prompted itacitinib de-escalation to 200 mg QD in Part 2A. The most common grade 3/4 toxicities were fatigue and neutropenia. Partial responses occurred across all itacitinib doses and several tumor types (overall response rate, 24%). CONCLUSION:Itacitinib plus chemotherapy demonstrated acceptable safety and clinical activity in patients with advanced solid tumors including pancreatic cancers. This study was terminated early (sponsor's decision) based on negative phase III results for a JAK1/2 inhibitor in previously treated advanced pancreatic cancer.

Project description:Importance:As the third most frequently mutated gene in cancers, the association between MUC16 mutation and response to immune checkpoint inhibitors (ICIs) in solid tumors remains unclear. Objective:To examine whether MUC16 mutation is associated with genomic factors in ICI response in solid tumors and with outcomes in ICI-treated patients. Design, Setting, and Participants:This cohort study used multidimensional genomic data of 10?195 patients from The Cancer Genome Atlas (TCGA) across 30 solid tumor types, 56 patients from a non-small cell lung cancer (NSCLC) cohort, and 145 patients from a melanoma cohort. Genomic factors associated with ICI response covered tumor mutational burden, neoantigens, immune-related gene signatures, and tumor immune microenvironment. Both NSCLC and melanoma cohorts included ICI-treated patients. The TCGA cohort was used to examine the association of MUC16 mutation with genomic factors. Two ICI-treated cohorts were used to explore the significance of outcomes associated with MUC16 mutation, using Kaplan-Meier curves and Cox models with adjusting for potential confounders. Gene set enrichment analysis was used to identify MUC16 mutation-associated biological processes. Data were obtained from October 1 through October 10, 2019, and were analyzed from October 11 through December 31, 2019. Main Outcomes and Measures:Genomic factors associated with ICI response, overall survival, and clinical response. Results:Of the 10?195 patients, 4821 (47.6%) were men (median [interquartile range {IQR}] age, 60 [50-70] years). MUC16 was mutated in 2006 of 10?195 patients (19.68%). In this pan-cancer data set, patients with MUC16 mutation had higher tumor mutational burden (median [IQR], 230 [93-595] mutations vs 48 [25-92] mutations; difference, 182 mutations; 95% CI, 164-199 mutations; P?<?.001) and neoantigen load (median [IQR], 179 [74-394.5] neoantigens vs 48 [24-89] neoantigens; difference, 131 antigens; 95% CI, 116.5-145 neoantigens; P?<?.001) than those without mutations. The tumor immune microenvironment with dual-positive CD8A and PD-L1 was overrepresented in MUC16-mutated tumors compared with wild-type ones (43.8% vs 32.4%; odds ratio, 1.63; 95% CI, 1.46-1.80; P?<?.001). Of the 40 immune-related genes, 37 (92.5%) exhibited differential expression between 2 states. MUC16 mutation was associated with improved overall survival in both the NSCLC (hazard ratio, 0.34; 95% CI, 0.12-0.99; P?=?.04) and melanoma (hazard ratio, 0.57; 95% CI, 0.36-0.90; P?=?.02) cohorts. The improvement persisted after adjusting for age, sex, and dominant mutational signatures in the melanoma cohort (hazard ratio, 0.57; 95% CI, 0.33-0.96; P?=?.04). MUC16 mutation was associated with greater response rates in the NSCLC cohort (odds ratio, 4.03; 95% CI, 1.06-16.43; P?=?.03) and the melanoma cohort (odds ratio, 3.38; 95% CI, 1.07-14.25; P?=?.03). Gene set enrichment analysis revealed that gene sets regarding cell proliferation and immune response were enriched in MUC16-mutated tumors (false discovery rate, <.001). Conclusions and Relevance:MUC16 mutation appears to be associated with reported genomic factors associated with response to and improved outcomes for ICI treatment in solid tumors. It may hold promise as a marker for guiding immunotherapeutic responsiveness.

Dataset Information

Nab-Paclitaxel as a potential partner with checkpoint inhibitors in solid tumors.

Publications

<i>nab</i>-Paclitaxel as a potential partner with checkpoint inhibitors in solid tumors.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure