Efficacy of Ginseng for Patients on Regorafenib
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ABSTRACT:
DISEASE(S): Palliative Medicine,Colorectal Cancer,Colorectal Neoplasms,Fatigue,Supportive Care
PROVIDER: 2200506 | ecrin-mdr-crc |
REPOSITORIES: ECRIN MDR
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Project description:We report the RNA sequencing data from the REPEAT study, in which patients with beyond first-line esophagogastric cancer were treated with regorafenib and paclitaxel. For the RNA sequencing, biopsies from metastatic lesions were obtained on baseline (n=21) and fifteen days following treatment initiation (n=13). PURPOSE: Regorafenib monotherapy, a multikinase-inhibitor of angiogenesis, tumor microenvironment, and oncogenesis, showed promising results in gastric cancer. We aimed to assess the tolerability of regorafenib and paclitaxel in advanced esophagogastric cancer (EGC) patients refractory to first-line treatment, and explore potential biomarkers. METHODS: Patients received paclitaxel (80 mg/m2) on days 1, 8, and 15 of a 28-day cycle and regorafenib (80/120/160 mg) on day 1-21 in the dose-escalation cohort, and the maximum-tolerated dose (MTD) in the dose-expansion cohort. Exploratory, overall- (OS) and progression-free survival (PFS) were compared to a propensity-score matched cohort receiving standard second/third line systemic treatment. Paclitaxel pharmacokinetics were assessed using D1 and D15 samples. We performed ELISA measurements of galectin-1, RNA sequencing and shallow whole-genome sequencing of metastatic tumor biopsies for biomarker analyses. RESULTS: In the dose-escalation cohort (n=14), the MTD of regorafenib was 120 mg. Thirty-four patients were enrolled in the dose-expansion cohort. Most common toxicities (all grades; grade ≥3) were fatigue (79%; 4%) and sensory neuropathy (63%; 4%). Best responses achieved were partial response (28%) and stable disease (54%). Median OS and PFS were 7.8 and 4.2 months, respectively (median follow-up 7.8 months). OS (p=0.08) and PFS (p=0.81) were not significantly improved compared to the matched cohort. Paclitaxel concentrations were significantly increased with regorafenib (D15) compared with paclitaxel only (D1; p<0.05); no associations were observed with toxicity or efficacy. An increase in circulating galectin-1 compared to baseline was associated with shorter OS (p<0.01). Enrichment of angiogenesis-related gene expression was observed in short-survivors measured by RNA sequencing. Chromosome 19q13.12-q13.2 amplification was associated with shorter OS (p=0.02) and PFS (p=0.02). CONCLUSION: Treatment with regorafenib and paclitaxel is tolerable and shows promising efficacy in advanced EGC refractory to first-line treatment. Galectin-1 and chromosome 19q13.12-q13.2 amplification could serve as negative predictive biomarkers for treatment response.
2022-03-11 | GSE198136 | GEO
Project description:Regorafenib increased M1/M2 ratio of BMDMs polarization and proliferation/activation of co-cultured T cells in vitro, indicating angiogenesis-independent immunomodulatory effects. Suppression of p38 kinase phosphorylation and downstream CREB-KLF4 activity in BMDMs by regorafenib reversed M2 polarization. Regorafenib enhanced antitumor efficacy of adoptively transferred antigen-specific T cells, whereas macrophage deletion negated regorafenib’s antitumor effects. Synergistic antitumor efficacy between low-dose regorafenib and anti-PD1 was associated with multiple immune-related pathways in the tumor microenvironment.
2021-01-27 | GSE148948 | GEO
Project description:Research shows that mindfulness practice can alter the expression of genes associated with energy metabolism, telomere maintenance, inflammatory and stress response. The aim of this study was to determine if mindfulness awareness practice (MAP) or health education program (HEP) might reverse cognitive impairment and/or prevent further cognitive decline in 60 subjects (aged 60-90). We investigated the gene expression changes in subject with mild cognitive impairment randomized to either group after 9 months. We used Affymetrix GeneChip Human Genome U133 Plus 2.0 array to determine the differential gene expression between Pre- and Post-treatment samples from MAP and HEP group.
2017-12-19 | GSE108215 | GEO
Project description:Low-dose regorafenib (5 mg/kg/day, corresponding to about half of human clinical dosage) inhibited tumor growth and angiogenesis in vivo similarly to DC-101 (anti-VEGFR antibody) but produced higher T cell activation and M1 macrophage polarization, Regorafenib increased M1/M2 ratio of BMDMs polarization and proliferation/activation of co-cultured T cells in vitro, indicating angiogenesis-independent immunomodulatory effects. Suppression of p38 kinase phosphorylation and downstream CREB-KLF4 activity in BMDMs by regorafenib reversed M2 polarization. Regorafenib enhanced antitumor efficacy of adoptively transferred antigen-specific T cells, whereas macrophage deletion negated regorafenib’s antitumor effects. Synergistic antitumor efficacy between low-dose regorafenib and anti-PD1 was associated with multiple immune-related pathways in the tumor microenvironment.
2021-01-27 | GSE148947 | GEO
Project description:We demonstrate that regorafenib treatment suppresses multiple canonical pathways and transcriptions factors We used microarrays to analyze the potential mechanism by which regorafenib regulates gene expression.
2022-04-28 | GSE149131 | GEO
Project description:Background: Patients with glioblastoma (GBM) have a dramatically poor prognosis. The recent REGOMA trial suggested an overall survival benefit of regorafenib in recurrent GBM patients. Considering the extreme genetic heterogeneity of GBMs, we aimed to identify molecular biomarkers predictive of differential response to the drug. The study provides evidence that a signature based on the expression of five biomarkers could help identifying a subgroup of GBM patients exhibiting a striking survival advantage when treated with regorafenib. Despite the presented results must be confirmed in larger replication cohorts, the study highlights potential biomarker options to help guiding the clinical decision among regorafenib and other treatments in patients with relapsing GBM. Methods.Total RNA was extracted from tumor samples of patients enrolled in the REGOMA trial. Genome-wide transcriptome and miRNA profiles were associated with patients' Overall Survival (OS) and Progression Free Survival (PFS). Results. At first step, a set of 11 gene transcripts (HIF1A, CTSK, SLC2A1, KLHL12, CDKN1A, CA12, WDR1, CD53, CBR4, NIFK-AS1, RAB30-DT) and 10 miRNAs (miR-93-5p, miR-203a-3p, miR-17-5p, let-7c-3p, miR-101-3p, miR-3607-3p, miR-6516-3p, miR-301a-3p, miR-23b-3p, miR-222-3p) was filtered by comparing survival between regorafenib and lomustine arms. As second step, a minisignature of two gene transcripts (HIF1A, CDKN1A) and three miRNAs (miR-3607-3p, miR-301a-3p, miR-93-5p) identified a subgroup of patients showing prolonged survival after regorafenib administration (median OS range 10.6 - 20.8 months). Conclusions. The study provides evidence that a signature based on the expression of five biomarkers could help identifying a subgroup of GBM patients exhibiting a striking survival advantage when treated with regorafenib. Despite the presented results must be confirmed in larger replication cohorts, the study highlights potential biomarker options to help guiding the clinical decision among regorafenib and other treatments in patients with relapsing GBM.
2020-12-31 | GSE154042 | GEO
Project description:Background: Patients with glioblastoma (GBM) have a dramatically poor prognosis. The recent REGOMA trial suggested an overall survival benefit of regorafenib in recurrent GBM patients. Considering the extreme genetic heterogeneity of GBMs, we aimed to identify molecular biomarkers predictive of differential response to the drug. The study provides evidence that a signature based on the expression of five biomarkers could help identifying a subgroup of GBM patients exhibiting a striking survival advantage when treated with regorafenib. Despite the presented results must be confirmed in larger replication cohorts, the study highlights potential biomarker options to help guiding the clinical decision among regorafenib and other treatments in patients with relapsing GBM. Methods.Total RNA was extracted from tumor samples of patients enrolled in the REGOMA trial. Genome-wide transcriptome and miRNA profiles were associated with patients' Overall Survival (OS) and Progression Free Survival (PFS). Results. At first step, a set of 11 gene transcripts (HIF1A, CTSK, SLC2A1, KLHL12, CDKN1A, CA12, WDR1, CD53, CBR4, NIFK-AS1, RAB30-DT) and 10 miRNAs (miR-93-5p, miR-203a-3p, miR-17-5p, let-7c-3p, miR-101-3p, miR-3607-3p, miR-6516-3p, miR-301a-3p, miR-23b-3p, miR-222-3p) was filtered by comparing survival between regorafenib and lomustine arms. As second step, a minisignature of two gene transcripts (HIF1A, CDKN1A) and three miRNAs (miR-3607-3p, miR-301a-3p, miR-93-5p) identified a subgroup of patients showing prolonged survival after regorafenib administration (median OS range 10.6 - 20.8 months). Conclusions. The study provides evidence that a signature based on the expression of five biomarkers could help identifying a subgroup of GBM patients exhibiting a striking survival advantage when treated with regorafenib. Despite the presented results must be confirmed in larger replication cohorts, the study highlights potential biomarker options to help guiding the clinical decision among regorafenib and other treatments in patients with relapsing GBM.
2020-12-31 | GSE154041 | GEO
Project description:Role of regorafenib in macrophage
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Project description:We conducted spatial transcriptomics data analysis of mouse tumors of gastric cancer treated with regorafenib, a multikinase inhibitor, which can suppress cancer-associated fibroblast growth by inhibiting platelet-derived growth factor receptor alpha and beta.
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Project description:We comprehensively analyzed the differentially expressed mRNAs (DEmRNAs) and lncRNAs (DElncRNAs) underlying the antitumor functions of regorafenib of sorafenib-resistant HCC cells using RNA sequencing (RNA-Seq). The treatment with regorafenib has demonstrated the ability to reverse the expression of genes and long non-coding RNAs (lncRNAs) that play crucial roles in signal pathways and epigenetic processes.
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