30 research outputs found
A novel transcription factor-based signature to predict prognosis and therapeutic response of hepatocellular carcinoma
Background: Hepatocellular carcinoma (HCC) is one of the most common aggressive malignancies with increasing incidence worldwide. The oncogenic roles of transcription factors (TFs) were increasingly recognized in various cancers. This study aimed to develop a predicting signature based on TFs for the prognosis and treatment of HCC.Methods: Differentially expressed TFs were screened from data in the TCGA-LIHC and ICGC-LIRI-JP cohorts. Univariate and multivariate Cox regression analyses were applied to establish a TF-based prognostic signature. The receiver operating characteristic (ROC) curve was used to assess the predictive efficacy of the signature. Subsequently, correlations of the risk model with clinical features and treatment response in HCC were also analyzed. The TF target genes underwent Gene Ontology (GO) function and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses, followed by protein-protein-interaction (PPI) analysis.Results: A total of 25 differentially expressed TFs were screened, 16 of which were related to the prognosis of HCC in the TCGA-LIHC cohort. A 2-TF risk signature, comprising high mobility group AT-hook protein 1 (HMGA1) and MAF BZIP transcription factor G (MAFG), was constructed and validated to negatively related to the overall survival (OS) of HCC. The ROC curve showed good predictive efficiencies of the risk score regarding 1-year, 2-year and 3-year OS (mostly AUC >0.60). Additionally, the risk score independently predicted OS for HCC patients both in the training cohort of TCGA-LIHC dataset (HR = 2.498, p = 0.007) and in the testing cohort of ICGC-LIRI-JP dataset (HR = 5.411, p < 0.001). The risk score was also positively correlated to progressive characteristics regarding tumor grade, TNM stage and tumor invasion. Patients with a high-risk score were more resistant to transarterial chemoembolization (TACE) treatment and agents of lapatinib and erlotinib, but sensitive to chemotherapeutics. Further enrichment and PPI analyses demonstrated that the 2-TF signature distinguished tumors into 2 clusters with proliferative and metabolic features, with the hub genes belonging to the former cluster.Conclusion: Our study identified a 2-TF prognostic signature that indicated tumor heterogeneity with different clinical features and treatment preference, which help optimal therapeutic strategy and improved survival for HCC patients
Investigation of energetic ion losses induced by long-lived saturated internal mode with energetic particle diagnostics in the HL-2A tokamak
ORCID 0000-0002-7547-701XSeveral sets of energetic particle diagnostics, including a set of neutron flux monitoring systems, a solid-state neutral particle analyzer and a fast ion loss probe (FILP), have been used to investigate the energetic ion losses induced by the long-lived saturated internal mode (LLM) in the HL-2A tokamak. Clear experimental evidence for different levels of energetic ion losses induced by LLM, sawtooth and minor disruption has been observed. A numerical calculation for the evolution of neutron emissions was carried out with the FBURN code, and it shows that the neutron emission drop rate linearly increases with the LLM amplitude and no threshold perturbation amplitude exists, illustrating that the loss mechanism for LLM induced energetic ion loss is dominantly convective. In addition, measurement results of the FILP demonstrate that LLM tends to expel energetic ions with relatively low energy (keV) and high pitch angle (), and can suppress the prompt loss of energetic ions with high energy and low pitch angle to a certain degree. Furthermore, the physical process for LLM induced energetic ion loss can be explained by orbit calculations, which show that LLM induced lost energetic ions will transport from center to peripheral region first, and then get lost out of plasma. The experimental observations are successfully reproduced by calculations using the ORBIT code combined with both the NUBEAM code and the MARS-K code. The paper clearly describes the whole physical process of LLM induced energetic ion loss for the first time in the HL-2A tokamak.journal articl
Two new and two rarely known species of Branchinotogluma (Annelida: Polynoidae) from deep-sea hydrothermal vents of the Manus Back-Arc basin, with remarks on the diversity and biogeography of vent polynoids
Abstract P1-13-02: The Aberrant Activity of Retrotransposon Elements Mediates the Chemo-tolerant Persister Cells Relapse in TNBC
Abstract
The emergence of acquired drug resistance through therapeutic treatment remains a critical threat to efficient chemotherapy, target therapy, or immune therapy. These resistant cancer cells most often lead to relapse or metastasis. The development of drug resistance is a multi-step evolutionary adaptation for cancer cells. Tumor heterogeneity, cancer cells’ plasticity, and microenvironment contribute to the resistant clone’s formation. Therefore, a time-lapse adaptation model is critical to define the mechanism of drug resistance evolution. Recently, several studies have revealed that the initial acquired drug resistance might be conferred by transient events, such as drug-tolerant persisters (DTP) that might occur in a subpopulation of the cancer cells at the early stage of the treatment, which were then followed by the transcriptomic reprogramming and secondary-wave genetic mutations in the progression of resistance development. In the clinic, chemotherapy is still the mainstream treatment for TNBC, and one of the primary chemo agents is doxorubicin. Although the initial responsive rate of doxorubicin-based chemotherapy is up to 70%, it is well recognized that TNBC cells usually generate an evolutionary adaptive response that can result in the acquired drug-resistance and multi-drug resistant phenotypes. To date, numerous different mechanisms of acquired chemo-resistance have been reported, but the vast majority of these results have been derived from the continuous-high-dose-exposure acquired resistant cell line models. Since the chemo-treatment dosage in these artificial models is well above what is physiologically achievable in patients, few of them can mimic the actual situation of resistance development or improve the clinical trial outcomes. Moreover, most of these studies only characterized the terminal resistant cells, which are challenging to be resensitized because of their dominant genetic mutations. In this study, we hypothesize that the TNBC chemo-resistant cells may derive from the early-stage reversible chemo-tolerant “DTP-like” (CTP) cells, and early-stage epigenetic landscape perturbation might determine the progression of chemo-resistance development. To test the hypothesis and overcome the previous model limitations, based on the clinical drug exposure kinetics for doxorubicin, we developed an in vitro “pulsing-treatment CTPs regrowth” model (referred to as CTP model), which could mimic the clinical treatment and provide therapeutically relevant insights into the initial drug-induced stress response and resistance development. Leveraging this CTP model, we are able to define the early event for drug response, in which the doxorubicin-treated cells showed a senescence-like phenotype, and the interferon alpha (type I) pathway was activated. Furthermore, unexpectedly, we found that the expression of HERVs was significantly activated but LINE1s not. To further explore the TEs reactivation, we did the single cell RNA-seq for 0h, 2h, and 4 days samples. With a novel bioinformatic workflow, we integrated the TE expression information with coding genes mRNA profiling from the same single cell RNA-seq dataset and identified the IFN-enriched cluster had higher expression of HERVs. Herein, a subpopulation of HERVhigh cells with IFN activation was identified as a “hot-cluster” which might be the early determinant in the resistance evolution.
Citation Format: Zijian Zhang, Yiyang Wang, Xinluo Luo, Xuwen Li, Xiaomei Zhan, Yumin Zheng, Jun Ding, Tao Wu. The Aberrant Activity of Retrotransposon Elements Mediates the Chemo-tolerant Persister Cells Relapse in TNBC [abstract]. In: Proceedings of the 2022 San Antonio Breast Cancer Symposium; 2022 Dec 6-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2023;83(5 Suppl):Abstract nr P1-13-02.</jats:p
For small (1-3cm) nonfunctional adrenal incidentaloma (NFAI), which option is more appropriate for conservative treatment or surgery?
ObjectiveTo compare the efficacy and safety between conservative treatment and surgery for the patients with small (1-3cm) nonfunctional adrenal incidentaloma (NFAI).MethodsThe patients with small (1-3cm) NFAI who received conservative treatment or surgery in our hospital from November 2018 to December 2019 were retrospectively collected. A total of 83 patients were included in this study. They were divided into two groups according to the treatment methods: the surgery group (n=51) and the conservative treatment group (n=32).Then patients’ demographics, tumor characteristics, functional indicators and complications were compared. Statistical analysis was performed using t-test for continuous variables and Pearson chi-square test or Fisher’s exact test for categorical variables.ResultsAt the time of diagnosis, after 3 months, after 6 months, after 12 months, and after 24 months, we found that there was no significant difference between the two groups in systolic blood pressure, diastolic blood pressure, serum potassium levels, and hormone levels. 51 patients chose to have surgery, of which 41 patients chose RLA and 10 patients chose RARLA. RARLA group patients had the highest total cost and conservative treatment group patients had the lowest cost, and the difference was significant (P &lt; 0.001). There was no significant difference in tumor size in the conservative treatment group between at the time of diagnosis and after 24 months (P = 0.305).ConclusionSurgical treatment is more effective for 1-3cm NFAI, but conservative treatment is safer and more economical. Follow-up after conservative or surgical treatment is necessary.</jats:sec
Biological functional analysis of Chinese herbal medicines against wind-cold-dampness syndrome
Development of hard X-ray spectrometer with full digital data acquisition for runaway electron studies at HL-2M
Abstract
The development of hard X-ray (HXR) spectrometers with full digital data acquisition for runaway electron studies on the HL-2M tokamak is presented. Consisting of large-sized NaI:Tl detectors and high-performance multichannel analyzers, this system can realize the measurement of HXR with energies ranging from 0.5 to 10 MeV, and spectrum temporal resolution of 1 ms. An average energy resolution of 56 keV at 662 keV has been achieved at counts rates of about 100 kcps. The spectra data is acquired by a digital-based data acquisition system with fast digitization and software signal processing technology. The energy calibrations are performed by using several radioisotope gamma-ray sources, and the detection efficiencies are simulated by MCNP code. First experimental results from HL-2M Ohmic discharges are presented in this paper.</jats:p
Research on soot of black smoke from ceramic furnace flue gas: Characterization of soot
A novel transcription factor-based signature to predict prognosis and therapeutic response of hepatocellular carcinoma
Background: Hepatocellular carcinoma (HCC) is one of the most common aggressive malignancies with increasing incidence worldwide. The oncogenic roles of transcription factors (TFs) were increasingly recognized in various cancers. This study aimed to develop a predicting signature based on TFs for the prognosis and treatment of HCC.Methods: Differentially expressed TFs were screened from data in the TCGA-LIHC and ICGC-LIRI-JP cohorts. Univariate and multivariate Cox regression analyses were applied to establish a TF-based prognostic signature. The receiver operating characteristic (ROC) curve was used to assess the predictive efficacy of the signature. Subsequently, correlations of the risk model with clinical features and treatment response in HCC were also analyzed. The TF target genes underwent Gene Ontology (GO) function and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses, followed by protein-protein-interaction (PPI) analysis.Results: A total of 25 differentially expressed TFs were screened, 16 of which were related to the prognosis of HCC in the TCGA-LIHC cohort. A 2-TF risk signature, comprising high mobility group AT-hook protein 1 (HMGA1) and MAF BZIP transcription factor G (MAFG), was constructed and validated to negatively related to the overall survival (OS) of HCC. The ROC curve showed good predictive efficiencies of the risk score regarding 1-year, 2-year and 3-year OS (mostly AUC &gt;0.60). Additionally, the risk score independently predicted OS for HCC patients both in the training cohort of TCGA-LIHC dataset (HR = 2.498, p = 0.007) and in the testing cohort of ICGC-LIRI-JP dataset (HR = 5.411, p &lt; 0.001). The risk score was also positively correlated to progressive characteristics regarding tumor grade, TNM stage and tumor invasion. Patients with a high-risk score were more resistant to transarterial chemoembolization (TACE) treatment and agents of lapatinib and erlotinib, but sensitive to chemotherapeutics. Further enrichment and PPI analyses demonstrated that the 2-TF signature distinguished tumors into 2 clusters with proliferative and metabolic features, with the hub genes belonging to the former cluster.Conclusion: Our study identified a 2-TF prognostic signature that indicated tumor heterogeneity with different clinical features and treatment preference, which help optimal therapeutic strategy and improved survival for HCC patients.</jats:p
