2.Harringtonine induces apoptosis in NB4 cells through down-regulation of Mcl-1.
Chunxiao WU ; Hongqiang SHEN ; Dajing XIA
Journal of Zhejiang University. Medical sciences 2013;42(4):431-436
OBJECTIVETo investigate the growth inhibition effect, cytotoxicity and apoptotic induction of harringtonine (HT) in human acute promyelocytic leukemia (APL) NB4 cells,and the related mechanism.
METHODSNB4 cells were treated with HT. Total cell numbers were counted by hemocytometer, and cell viabilities were determined by trypan blue exclusion. Apoptotic cells were determined by fluorescence microscopy and FACS after staining with AO and EB or PI, respectively. The cleavage of PARP and the activation of Bax and the expression of anti-apoptotic proteins were determined by Western Blot. siRNA was used to silence the expression of target genes. Primary cells were isolated following Ficoll-Hypaque density gradient centrifugation method.
RESULTSHT inhibited cell growth and induced apoptosis of NB4 cells in a dose- and time-dependent manner. Apoptosis induced by HT was correlated with the down-regulation of Mcl-1 and the cleavage of PARP, while HT did not affect the protein level of Bax and Bak or change the protein level of Bcl-2. The silence of Bcl-XL sensitized HT-induced apoptosis in NB4 cells.Apoptosis induced by HT in primarily cultured APL cells was also correlated with the down-regulation of Mcl-1.
CONCLUSIONHT inhibits cell growth and induces apoptosis in NB4 cells and primarily cultured APL cells, which may be associated with down-regulation of Mcl-1.
Apoptosis ; drug effects ; Cell Line, Tumor ; Harringtonines ; pharmacology ; Humans ; Leukemia, Promyelocytic, Acute ; metabolism ; pathology ; Proteins ; metabolism ; Proto-Oncogene Proteins c-bcl-2 ; metabolism ; bcl-2 Homologous Antagonist-Killer Protein ; metabolism ; bcl-2-Associated X Protein ; metabolism
3.Zinc and autophagy.
Liu QIAOYUN ; Shen HANMING ; Xia DAJING
Journal of Zhejiang University. Medical sciences 2016;45(3):308-314
Autophagy refers to a catabolic process,in which the damaged organelles or biological macromolecules, such as protein aggregates, are degraded via lysosome. The completion of autophagy depends on a series of autophagy-related genes (Atgs) and many upstream regulatory molecules. Zinc is an essential trace element, and plays an important role in the process of autophagy as a component of enzymes and structural proteins like zinc transporters or zinc finger protein. The regulation of autophagy is closely associated with the zinc ion homeostasis. In addition, many studies suggest that the protective effects of zinc on cells are likely to be done by autophagy. This review aims to summarize the current research progress and discuss the reciprocal regulation mechanism between zinc and autophagy, which may provide insights into the intricate roles of autophagy in diseases and find novel strategies for treatment and prevention of human diseases.
4.Reduced glycodeoxycholic acid levels are associated with negative clinical outcomes of gestational diabetes mellitus.
Bo ZHU ; Zhixin MA ; Yuning ZHU ; Lei FANG ; Hong ZHANG ; Hongwei KONG ; Dajing XIA
Journal of Zhejiang University. Science. B 2021;22(3):223-232
Gestational diabetes mellitus (GDM) is characterized by glycemia and insulin disorders. Bile acids (BAs) have emerged as vital signaling molecules in glucose metabolic regulation. BA change in GDM is still unclear, which exerts great significance to illustrate the change of BAs in GDM. GDM patients and normal pregnant women were enrolled during the oral glucose tolerance test (OGTT) screening period. Fasting serums were sampled for the measurement of BAs. BA metabolism profiles were analyzed in both pregnant women with GDM and those with normal glucose tolerance (NGT). Delivery characteristics, delivery gestational age, and infant birthweight were extracted from medical records. GDM patients presented distinctive features compared with NGT patients, including higher body mass index (BMI), elevated serum glucose concentration, raised insulin (both fasting and OGTT), and increased hemoglobin A1c (HbA1c) levels. Higher homeostasis model assessment of insulin resistance (HOMA-IR) and decreased β-cell compensation (i.e., oral disposition index (DI
5.USH2A mutation and specific driver mutation subtypes are associated with clinical efficacy of immune checkpoint inhibitors in lung cancer.
Dexin YANG ; Yuqin FENG ; Haohua LU ; Kelie CHEN ; Jinming XU ; Peiwei LI ; Tianru WANG ; Dajing XIA ; Yihua WU
Journal of Zhejiang University. Science. B 2023;24(2):143-156
This study aimed to identify subtypes of genomic variants associated with the efficacy of immune checkpoint inhibitors (ICIs) by conducting systematic literature search in electronic databases up to May 31, 2021. The main outcomes including overall survival (OS), progression-free survival (PFS), objective response rate (ORR), and durable clinical benefit (DCB) were correlated with tumor genomic features. A total of 1546 lung cancer patients with available genomic variation data were included from 14 studies. The Kirsten rat sarcoma viral oncogene homolog G12C (KRASG12C) mutation combined with tumor protein P53 (TP53) mutation revealed the promising efficacy of ICI therapy in these patients. Furthermore, patients with epidermal growth factor receptor (EGFR) classical activating mutations (including EGFRL858R and EGFRΔ19) exhibited worse outcomes to ICIs in OS (adjusted hazard ratio (HR), 1.40; 95% confidence interval (CI), 1.01‒1.95; P=0.0411) and PFS (adjusted HR, 1.98; 95% CI, 1.49‒2.63; P<0.0001), while classical activating mutations with EGFRT790M showed no difference compared to classical activating mutations without EGFRT790M in OS (adjusted HR, 0.96; 95% CI, 0.48‒1.94; P=0.9157) or PFS (adjusted HR, 0.72; 95% CI, 0.39‒1.35; P=0.3050). Of note, for patients harboring the Usher syndrome type-2A(USH2A) missense mutation, correspondingly better outcomes were observed in OS (adjusted HR, 0.52; 95% CI, 0.32‒0.82; P=0.0077), PFS (adjusted HR, 0.51; 95% CI, 0.38‒0.69; P<0.0001), DCB (adjusted odds ratio (OR), 4.74; 95% CI, 2.75‒8.17; P<0.0001), and ORR (adjusted OR, 3.45; 95% CI, 1.88‒6.33; P<0.0001). Our findings indicated that, USH2A missense mutations and the KRASG12Cmutation combined with TP53 mutation were associated with better efficacy and survival outcomes, but EGFR classical mutations irrespective of combination with EGFRT790M showed the opposite role in the ICI therapy among lung cancer patients. Our findings might guide the selection of precise targets for effective immunotherapy in the clinic.
Humans
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Carcinoma, Non-Small-Cell Lung/genetics*
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ErbB Receptors/genetics*
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Extracellular Matrix Proteins/genetics*
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Immune Checkpoint Inhibitors/therapeutic use*
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Lung Neoplasms/genetics*
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Mutation
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Protein Kinase Inhibitors/therapeutic use*
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Proto-Oncogene Proteins p21(ras)/genetics*
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Treatment Outcome
6.Impact of antitumor regimens on the outcomes of cancer patients with COVID-19: a pooled analysis.
Haohua LU ; Yu SHI ; Kelie CHEN ; Zhi CHEN ; Haihong ZHU ; Yuequn NIU ; Dajing XIA ; Yihua WU
Journal of Zhejiang University. Science. B 2021;22(10):876-884
Since the outbreak of coronavirus disease 2019 (COVID-19), which is caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) discovered in December 2019, the disease has emerged as a global pandemic (Shi et al., 2020; World Health Organization, 2020). Several studies have shown a higher incidence of COVID-19, as well as related poor outcomes in patients with malignancies as compared with those without them (Liang et al., 2020; Tian et al., 2020). The impact of cancer on COVID-19 may be attri‑buted to the use of antitumor treatments that may disturb the host response to SARS-CoV-2 infection (Wang et al., 2020), while the current studies on this topic have drawn controversial conclusions. Some implied that anticancer treatments might elevate the risk of death (García-Suárez et al., 2020; Liu et al., 2020). On the contrary, others pointed out that this association is not significant (Brar et al., 2020; Lee et al., 2020a). Although previous systematic reviews have investigated this important issue (Wang and Huang, 2020), the heterogeneity of findings is obvious and the general conclusion has remained unclear. Considering this ambiguity, it is difficult for clinicians to make therapeutic decisions when facing patients with both cancer and COVID-19; therefore, a high-quality and accurate evaluation of the impact of anticancer treatments on COVID-19 patients is necessary. Accordingly, we conducted a pooled analysis with the original data of each patient for the first time to provide a comprehensive perspective into the association between anticancer regimens and the outcomes of cancer patients with COVID-19.
Adult
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Aged
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Aged, 80 and over
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COVID-19/complications*
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Female
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Humans
;
Male
;
Middle Aged
;
Neoplasms/therapy*
;
SARS-CoV-2