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  • 1
    In: British Journal of Haematology, Wiley
    Abstract: Molecular and clinical stratification of patients with angioimmunoblastic T‐cell lymphoma (AITL) is unsatisfactory, which hinders the development of personalized therapies. This study aimed to identify molecular biomarkers for AITL based on peripheral cell‐free DNA (cfDNA) that could be used to predict prognosis and guide treatment non‐invasively. A customized panel containing 46 genes was used to study pretreatment cfDNA and paired tumour tissues in 64 Chinese AITL patients from three clinical centres, and gene mutations in cfDNA and tumour tissue were assessed for concordance (34 paired samples). Then, the association of gene mutations and prognosis was analysed, and a functional enrichment analysis was performed. The sequencing results showed good consistency between cfDNA samples and paired tissue samples. KDM5A , STAT1 , FANCM , ERBB4 , PIK3R5 and NSD1 were identified as novel recurrent mutations. Mutations in FANCM or combinations of RHOA , KDM5A and FAT1 were associated with poor prognosis. Additionally, functional analysis revealed that RHOA G17 might serve as a predictive biomarker of PD‐1 blockade respondence. Our findings confirmed the role of cfDNA as a liquid biopsy in AITL, and revealed novel molecular determinants that can stratify patients and guide treatment options.
    Type of Medium: Online Resource
    ISSN: 0007-1048 , 1365-2141
    RVK:
    Language: English
    Publisher: Wiley
    Publication Date: 2023
    detail.hit.zdb_id: 1475751-5
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  • 2
    In: Blood, American Society of Hematology, Vol. 128, No. 22 ( 2016-12-02), p. 4882-4882
    Abstract: Objective. Hemophagocytic lymphohistiocytosis (HLH), also known as Hemophagocytic Syndrome (HPS), is an increasingly recognized clinical syndrome that is characterized by extreme immune activation. HLH was first described as an inherited immune disorder in pediatrics, but it may also arise in adults as the result of persistent antigen stimulation due to infections, autoimmune disorders or malignancies. Early recognition of HLH and appropriate treatment are critically important. For the pediatric patients, the Histiocyte Society Study Group for HLH has developed the HLH-94 and HLH-2004 treatment protocols, but there is no such guideline or consensus for adult HLH. Although there were increasing amount of clinical studies in adult HLH, the majority of them just described the etiologies and clinical profiles, and failed to analyze the treatment effects on outcomes. Therefore, there is an urgent need for more clinical data focusing on treatment in adult HLH patients, in order to clarify optimal therapeutic regimens. Our study retrospectively analyzed the causes, treatment strategies, and relevant outcomes in 104 adult HLH patients in our institution, and with the goal of identifying more appropriate therapeutic strategies for adult HLH patients. Methods. After the approval of our protocol by local institutional Ethics Committee, the medical records of 104 consecutive patients with adult onset HLH in West China Hospital from June 2008 to February 2016 were reviewed. The diagnosis was re-confirmed according to HLH-04 criteria, and demographic data, clinical profiles, treatments and outcomes were collected and analyzed. The latest follow-up visit occurred on 1st July 2016. The different therapeutic effects on prognosis were discussed based on the endpoints which were defined as short-term (30 days) and long-term (last follow-up date) survival rates. Statistical analysis was performed on SAS 9.4 software, and was involved in Log-rank test in univariate analysis and Cox proportional hazard regression model in multivariate analysis. All p values were two-sided and p 〈 0.05 were considered statistically significant. Results. All of 104 consecutive patients with adult HLH were enrolled in this study. The male/female ratio was 1.6:1 with the median age of 35 (range 16-77). In etiological classification, 75 cases were lymphoma-associated HLH, 13 cases were infection-associated HLH, 2 cases were with autoimmune disorders, and for the remaining 14 cases, the underlying diseases could not be identified. In treatment analysis, corticosteroids were used in 91 cases (87.5%), the median initiation time was 0 day (range 0-26 days) after HLH diagnosis, the median four-week accumulating dosage was 236.57mg dexamethasone. Etoposide was employed in 55 cases (52.9%), the median initiation time was 3.5 days (range 0-62 days), the median four-week accumulating dosage was 590.00mg. Cyclosporine A (CSA) was used in 42 cases (40.4%), the median initiation time was 2 days (range 0-51 days), the median four-week accumulating dosage was 7100.00mg. The median survival time for all patients was 46 days (1-2529 days). On the 30th day after admission, 27 patients (26.0%) had died, and 77 patients (74.0%) had survived. At the last follow-up visit, 74 patients (71.2%) had died, 17 patients (16.2%) were still alive, and 13 patients had been lost to follow-up. Statistical analysis indicated that patients in etoposide-treated group was associated with superior short-term survival rate, compared with non-etoposide-treated group (p=0.0471), but there was no difference in long-term survival rate between the two groups. CSA-treated group was associated with inferior long-term survival rate (p=0.0214), compared with non-CSA-treated group. In patients with lymphoma-associated HLH, those who received antineoplastic chemotherapy had a higher long-term survival rate than those who did not receive it (HAZARD=0.07, p 〈 0.0001). Conclusion. The major underlying diseases of adult onset HLH are malignant lymphomas. Etoposide might only improve the short-term survival, but fail to change the long-term survival. Immunosuppressor CSA seems to be associated with negative effects on long-term survival rate. For patients with lymphoma-associated HLH, antineoplastic chemotherapy might improve the long-term outcome. More clinical prospective studies should be initiated for adult acquired HLH. Disclosures No relevant conflicts of interest to declare.
    Type of Medium: Online Resource
    ISSN: 0006-4971 , 1528-0020
    RVK:
    RVK:
    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2016
    detail.hit.zdb_id: 1468538-3
    detail.hit.zdb_id: 80069-7
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  • 3
    Online Resource
    Online Resource
    Tohoku University Medical Press ; 2016
    In:  The Tohoku Journal of Experimental Medicine Vol. 238, No. 4 ( 2016), p. 305-310
    In: The Tohoku Journal of Experimental Medicine, Tohoku University Medical Press, Vol. 238, No. 4 ( 2016), p. 305-310
    Type of Medium: Online Resource
    ISSN: 0040-8727 , 1349-3329
    Language: English
    Publisher: Tohoku University Medical Press
    Publication Date: 2016
    detail.hit.zdb_id: 2155453-5
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  • 4
    Online Resource
    Online Resource
    Frontiers Media SA ; 2022
    In:  Frontiers in Oncology Vol. 12 ( 2022-10-12)
    In: Frontiers in Oncology, Frontiers Media SA, Vol. 12 ( 2022-10-12)
    Abstract: Acute leukemia (AL) is a hematological malignancy, and the prognosis of most AL patients hasn’t improved significantly, particularly for relapsed or refractory (R/R) AL. Therefore, new treatments for R/R adult acute myeloid leukemia (AML) and acute lymphoblastic leukemia (ALL) are urgently necessary. Novel developments have been made in AL treatment, including target and immune therapies. CD38 is one of the targets due to its high expression in many hematological malignancies, including multiple myeloma, ALL and a subset of AML. Consequently, targeting CD38 therapies, including CD38 monoclonal antibodies (mAbs), bispecific antibodies, and CAR-T cell therapy, exhibit promising efficacy in treating multiple myeloma without significant toxicity and are being explored in other hematological malignancies and nonhematological diseases. Herein, this review focuses on targeting CD38 therapies in ALL and AML, which demonstrate sound antileukemic effects in acute leukemia and are expected to become effective treatment methods.
    Type of Medium: Online Resource
    ISSN: 2234-943X
    Language: Unknown
    Publisher: Frontiers Media SA
    Publication Date: 2022
    detail.hit.zdb_id: 2649216-7
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  • 5
    Online Resource
    Online Resource
    IWA Publishing ; 2019
    In:  Hydrology Research Vol. 50, No. 6 ( 2019-12-01), p. 1751-1771
    In: Hydrology Research, IWA Publishing, Vol. 50, No. 6 ( 2019-12-01), p. 1751-1771
    Abstract: Quantifying forecast uncertainty is of great importance for reservoir operation and flood control. However, deterministic hydrological forecasts do not consider forecast uncertainty. This study develops a conditional probability model based on copulas to quantify forecast uncertainty. Three updating models, namely auto-regressive (AR) model, AR exogenous input model, and adaptive neuro fuzzy inference system model, are applied to update raw deterministic inflow forecasts of the Three Gorges Reservoir on the Yangtze River, China with lead times of 1d, 2d, and 3d. Results show that the conditional probability model provides a reasonable and reliable forecast interval. The updating models both enhance the forecast accuracy and improve the reliability of probabilistic forecasts. The conditional probability model based on copula functions is a useful tool to describe and quantify forecast uncertainty, and using an updating model is an effective measure to improve the accuracy and reliability of probabilistic forecast.
    Type of Medium: Online Resource
    ISSN: 0029-1277 , 2224-7955
    Language: English
    Publisher: IWA Publishing
    Publication Date: 2019
    detail.hit.zdb_id: 2411122-3
    detail.hit.zdb_id: 2142091-9
    SSG: 21,3
    SSG: 14
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  • 6
    Online Resource
    Online Resource
    Elsevier BV ; 2018
    In:  Journal of Hydrology Vol. 562 ( 2018-07), p. 305-317
    In: Journal of Hydrology, Elsevier BV, Vol. 562 ( 2018-07), p. 305-317
    Type of Medium: Online Resource
    ISSN: 0022-1694
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2018
    detail.hit.zdb_id: 240687-1
    detail.hit.zdb_id: 1473173-3
    SSG: 13
    SSG: 14
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  • 7
    Online Resource
    Online Resource
    Springer Science and Business Media LLC ; 2020
    In:  Frontiers of Earth Science Vol. 14, No. 1 ( 2020-03), p. 188-200
    In: Frontiers of Earth Science, Springer Science and Business Media LLC, Vol. 14, No. 1 ( 2020-03), p. 188-200
    Type of Medium: Online Resource
    ISSN: 2095-0195 , 2095-0209
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2020
    detail.hit.zdb_id: 2653295-5
    SSG: 21
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  • 8
    Online Resource
    Online Resource
    Frontiers Media SA ; 2024
    In:  Frontiers in Pharmacology Vol. 15 ( 2024-8-28)
    In: Frontiers in Pharmacology, Frontiers Media SA, Vol. 15 ( 2024-8-28)
    Abstract: Chidamide is subtype-selective histone deacetylase (HDAC) inhibitor that showed promising result in clinical trials to improve prognosis of angioimmunoblastic T-cell lymphoma (AITL) patients. However, in real world settings, contradictory reports existed as to whether chidamide improve overall survival (OS). Therefore, we aimed to develop an interpretable machine learning (Machine learning)–based model to predict the 2-year overall survival of AITL patients based on chidamide usage and baseline features. Methods A total of 183 patients with AITL were randomly divided into training set and testing set. We used 5 ML algorithms to build predictive models. Recursive feature elimination (RFE) method was used to filter for the most important features. The ML models were interpreted and the relevance of the selected features was determined using the Shapley additive explanations (SHAP) method and the local interpretable model–agnostic explanationalgorithm. Results A total of 183 patients with newly diagnosed AITL from 2012 to 2022 from 3 centers in China were enrolled in our study. Seventy-one patients were dead within 2 years after diagnosis. Five ML algorithms were built based on chidamide usage and 16 baseline features to predict 2-year OS. Catboost model presented to be the best predictive model. After RFE screening, 12 variables demonstrated the best performance (AUC = 0.8651). Using chidamide ranked third among all the variables that correlated with 2-year OS. Conclusion This study demonstrated that the Catboost model with 12 variables could effectively predict the 2-year OS of AITL patients. Combining chidamide in the treatment therapy was positively correlated with longer OS of AITL patients.
    Type of Medium: Online Resource
    ISSN: 1663-9812
    Language: Unknown
    Publisher: Frontiers Media SA
    Publication Date: 2024
    detail.hit.zdb_id: 2587355-6
    SSG: 15,3
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