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1.
Nat Med ; 30(4): 1035-1043, 2024 Apr.
Artigo em Inglês | MEDLINE | ID: mdl-38438735

RESUMO

Epigenetic modifications of chromatin, including histone acetylation, and tumor angiogenesis play pivotal roles in creating an immunosuppressive tumor microenvironment. In the randomized phase 2 CAPability-01 trial, we investigated the potential efficacy of combining the programmed cell death protein-1 (PD-1) monoclonal antibody sintilimab with the histone deacetylase inhibitor (HDACi) chidamide with or without the anti-vascular endothelial growth factor (VEGF) monoclonal antibody bevacizumab in patients with unresectable chemotherapy-refractory locally advanced or metastatic microsatellite stable/proficient mismatch repair (MSS/pMMR) colorectal cancer. Forty-eight patients were randomly assigned to either the doublet arm (sintilimab and chidamide, n = 23) or the triplet arm (sintilimab, chidamide and bevacizumab, n = 25). The primary endpoint of progression-free survival (PFS) rate at 18 weeks (18wPFS rate) was met with a rate of 43.8% (21 of 48) for the entire study population. Secondary endpoint results include a median PFS of 3.7 months, an overall response rate of 29.2% (14 of 48), a disease control rate of 56.3% (27 of 48) and a median duration of response of 12.0 months. The secondary endpoint of median overall survival time was not mature. The triplet arm exhibited significantly improved outcomes compared to the doublet arm, with a greater 18wPFS rate (64.0% versus 21.7%, P = 0.003), higher overall response rate (44.0% versus 13.0%, P = 0.027) and longer median PFS rate (7.3 months versus 1.5 months, P = 0.006). The most common treatment-emergent adverse events observed in both the triplet and doublet arms included proteinuria, thrombocytopenia, neutropenia, anemia, leukopenia and diarrhea. There were two treatment-related fatalities (hepatic failure and pneumonitis). Analysis of bulk RNA sequencing data from the patients suggested that the triplet combination enhanced CD8+ T cell infiltration, resulting in a more immunologically active tumor microenvironment. Our study suggests that the combination of a PD-1 antibody, an HDACi, and a VEGF antibody could be a promising treatment regimen for patients with MSS/pMMR advanced colorectal cancer. ClinicalTrials.gov registration: NCT04724239 .


Assuntos
Aminopiridinas , Benzamidas , Neoplasias Colorretais , Inibidores de Histona Desacetilases , Humanos , Anticorpos Monoclonais/uso terapêutico , Protocolos de Quimioterapia Combinada Antineoplásica/efeitos adversos , Protocolos de Quimioterapia Combinada Antineoplásica/uso terapêutico , Bevacizumab/efeitos adversos , Bevacizumab/uso terapêutico , Neoplasias Colorretais/tratamento farmacológico , Neoplasias Colorretais/genética , Inibidores de Histona Desacetilases/efeitos adversos , Inibidores de Histona Desacetilases/uso terapêutico , Receptor de Morte Celular Programada 1/antagonistas & inibidores , Receptor de Morte Celular Programada 1/metabolismo , Microambiente Tumoral , Fator A de Crescimento do Endotélio Vascular
2.
Eur J Med Res ; 29(1): 180, 2024 Mar 17.
Artigo em Inglês | MEDLINE | ID: mdl-38494472

RESUMO

BACKGROUND: GC is a highly heterogeneous tumor with different responses to immunotherapy, and the positive response depends on the unique interaction between the tumor and the tumor microenvironment (TME). However, the currently available methods for prognostic prediction are not satisfactory. Therefore, this study aims to construct a novel model that integrates relevant gene sets to predict the clinical efficacy of immunotherapy and the prognosis of GC patients based on machine learning. METHODS: Seven GC datasets were collected from the Gene Expression Omnibus (GEO) database, The Cancer Genome Atlas (TCGA) database and literature sources. Based on the immunotherapy cohort, we first obtained a list of immunotherapy related genes through differential expression analysis. Then, Cox regression analysis was applied to divide these genes with prognostic significancy into protective and risky types. Then, the Single Sample Gene Set Enrichment Analysis (ssGSEA) algorithm was used to score the two categories of gene sets separately, and the scores differences between the two gene sets were used as the basis for constructing the prognostic model. Subsequently, Weighted Correlation Network Analysis (WGCNA) and Cytoscape were applied to further screen the gene sets of the constructed model, and finally COX7A1 was selected for the exploration and prediction of the relationship between the clinical efficacy of immunotherapy for GC. The correlation between COX7A1 and immune cell infiltration, drug sensitivity scoring, and immunohistochemical staining were performed to initially understand the potential role of COX7A1 in the development and progression of GC. Finally, the differential expression of COX7A1 was verified in those GC patients receiving immunotherapy. RESULTS: First, 47 protective genes and 408 risky genes were obtained, and the ssGSEA algorithm was applied for model construction, showing good prognostic discrimination ability. In addition, the patients with high model scores showed higher TMB and MSI levels, and lower tumor heterogeneity scores. Then, it is found that the COX7A1 expressions in GC tissues were significantly lower than those in their corresponding paracancerous tissues. Meanwhile, the patients with high COX7A1 expression showed higher probability of cancer invasion, worse clinical efficacy of immunotherapy, worse overall survival (OS) and worse disease-free survival (DFS). CONCLUSIONS: The ssGSEA score we constructed can serve as a biomarker for GC patients and provide important guidance for individualized treatment. In addition, the COX7A1 gene can accurately distinguish the prognosis of GC patients and predict the clinical efficacy of immunotherapy for GC patients.


Assuntos
Neoplasias Gástricas , Humanos , Neoplasias Gástricas/genética , Neoplasias Gástricas/terapia , Prognóstico , Biomarcadores , Imunoterapia , Microambiente Tumoral/genética , Complexo IV da Cadeia de Transporte de Elétrons
3.
BMC Pregnancy Childbirth ; 22(1): 790, 2022 Oct 26.
Artigo em Inglês | MEDLINE | ID: mdl-36289479

RESUMO

OBJECTIVE: To review and analyze the efficacy and safety of mifepristone combined with ethacridine lactate for induction of stillbirth in the third trimester. METHODS: All patients with stillbirth in late pregnancy (≥ 28 weeks) in a university-affiliated maternity center from October 2016 to September 2021 were included in this study. After exclusion, patients were divided into ethacridine lactate and non-ethacridine lactate groups according to induction methods. Logistic regression was conducted to identify the risks of complications. RESULTS: We identified 122 patients that experienced stillbirth (5' Apgar score = 0) in third-trimester from the 5-year total deliveries in the hospital, among whom 39 stillbirths that resulted from termination of pregnancy for severe fetal anomalies and 1 stillbirth that was in twin pregnancy were excluded. Thus, 82 cases with stillbirths (dead before induction) were included in the analyses. In the 82 cases, 49 (59.76%) accepted intra-amniotic ethacridine lactate induction with 47 (95.92%, 47/49) successfully induced. No statistical difference was observed in induction failure rate between ethacridine dosage groups of < 75mg and ≥ 75mg (0/25, vs. 2/24, respectively; P > 0.05). The ethacridine lactate induction group showed no increased risks in complications (6.12%, 3/49), compared with non-ethacridine lactate group (12.12%, 4/33) (P = 0.35, OR, 0.47, 95%CI, 0.10 to 2.27). CONCLUSION: Mifepristone combined with ethacridine lactate is a safe and low-risk induction method for patients with stillbirth in the third trimester.


Assuntos
Aborto Induzido , Mifepristona , Humanos , Feminino , Gravidez , Mifepristona/efeitos adversos , Etacridina/efeitos adversos , Terceiro Trimestre da Gravidez , Natimorto/epidemiologia , Aborto Induzido/métodos , Segundo Trimestre da Gravidez , China/epidemiologia , Lactatos
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