Letteratura scientifica selezionata sul tema "Zhao gao zou yi lei"

Abstract Purpose: Patient-derived organoids (PDOs) may facilitate treatment selection, but the feasibility of using breast cancer PDOs to guide personalized treatment in clinical practice has not been fully investigated. This study aimed to assess the clinical efficacy of treatment guided by PDO drug sensitivity tests (OGT) versus treatment of physician’s choice (TPC) in patients with locally advanced unresectable or metastatic breast cancer (MBC) and to explore the potential of PDOs to reveal mechanisms underlying treatment resistance. Methods: Patients diagnosed with MBC were recruited between January 2020 and August 2022. PDOs were established from biopsies specimens or malignant effusion samples. The efficacy of customized drug panels was determined by measuring cell mortality after drug exposure. Patients receiving OGT were matched 1:2 by nearest neighbor propensity scores with patients receiving TPC. The primary clinical outcome was progression-free survival. Secondary outcomes included objective response rate and disease control rate. Targeted gene sequencing and pathway enrichment analysis were performed. Results: 46 PDOs (46 of 51, 90.2%) were generated from 45 MBC patients. PDO drug screening showed an accuracy of 81.1% (95% CI 67.6%-91.9%) in predicting patients' clinical responses. 36 OGT patients were matched to 69 TPC patients. OGT was associated with prolonged median progression-free survival (11.0 months vs 5.0 months; unadjusted hazard ratio 0.53 [95% CI 0.33-0.85]; P=0.01) and improved disease control (88.9% vs 63.8%; unadjusted odd ratio 4.26 [1.44-18.62]) compared with TPC. The objective response rate of both groups was similar. Pathway enrichment analysis uncovered differentially modulated pathways implicated in DNA repair and transcriptional regulation in patients less sensitive to capecitabine/gemcitabine, and pathways associated with cell cycle regulation in patients less sensitive to palbociclib. Conclusions: MBC patients treated with OGT were associated with superior progression-free survival and disease control compared with TPC. PDO-based functional precision medicine is a feasible strategy for treatment optimization and customization in MBC and may enhance our understanding of therapeutic resistance. Citation Format: Ying-Yi Lin, Hong-Fei Gao, Hong Li, Bo-Lei Du, Min-Yi Cheng, Jia-Chen Zou, Xing-xing Zheng, Teng Zhu, Ting-Ting Li, Sheng Li, Kun Wang. Clinical Efficacy of Tumor Organoid-Guided Cancer Therapy for Locally Advanced Unresectable or Metastatic Breast Cancer [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PO1-06-01.

Abstract Polycomb Repressive Complex 2 (PRC2) is a multiprotein complex that catalyzes the methylation of lysine 27 on histone H3 (H3K27), and the histone methyltransferases EZH1/2 are the catalytic subunit of PRC2. Aberrant activation of EZH2 drives H3K27 methylation and plays a critical role in cancer initiation and progression. Meanwhile, loss-of-function mutation in the major components of SWI/SNF complex leads to a loss of its suppression ability against PRC2 and subsequently activates EZH2. Targeting EZH2 has been validated as a promising therapeutic strategy for cancer treatment, especially for those with EZH2 gain-of-function (GOF) mutations or alterations of SWI/SNF complex proteins that act as oncogenic drivers. Although when PRC2 was suppressed by EZH2 inhibition, the activity of EZH1 complementarily increased to replace the role of EZH2 and maintained the function of PRC2. In addition, EZH2 inhibition in hematopoietic stem cells of mice has been shown to facilitate the development of heterogeneous hematologic malignancies in an EZH1-dependent manner. As a result, dual inhibition of EZH1 and EZH2 may be more effective than EZH2 inhibition alone in suppressing PRC2 function, as well as overcoming the issues related to the development of secondary malignancies, which has been observed in the clinical development of EZH2 selective inhibitor. Thus, we discovered and developed HH2853,a dual inhibitor of EZH1/2. The potency and selectivity of HH2853 against EZH1/2 were assessed at biochemical and cellular levels, and its anti-tumor activities were evaluated in multiple tumor models in vitro and in vivo in comparison with FDA-approved EZH2 selective inhibitor tazemetostat. In addition, the pharmacokinetic (PK) profile of HH2853 was characterized. HH2853 inhibited the enzymatic activities of wild-type and mutant EZH2 with IC50 values of 2.21-5.36 nM, which was similar to that of tazemetostat. In addition, HH2853 inhibited EZH1 enzymatic activity with an IC50 of 9.26 nM, which was stronger than tazemetostat (IC50: 58.43 nM). In contrast, HH2853 up to 10 μM exhibited only marginal or minor inhibitory activity against 36 histone modification enzymes. At cellular level, HH2853 potently inhibited H3K27 mono-, di- and tri-methylation in multiple cancer cell lines with wild-type or mutant EZH2. In contrast, HH2853 up to 10 μM had no effect on the other types of methylation modifications on histone H3. Moreover, HH2853 potently inhibited the cell viability of multiple cancer cell lines with EZH2 GOF mutation or alterations in SWI/SNF complex, and exhibited superior anti-tumor efficacy in several tumor xenograft models than tazemetostat at a comparable dose level. Furthermore, HH2853 exhibited superior PK property than tazemetostat. Taken together, HH2853 is a selective EZH1/2 dual inhibitor with potent anti-tumor activities and favorable PK properties. HH2853 is currently in phase I clinical development. Citation Format: Xu-Xing Chen, Qian-Qian Shen, Zhao Zhao, Yan-Fen Fang, Jun-Yu Yang, Ying-Lei Gao, Lei Liu, Yixiang Zhang, Yi Chen, Leping Li. HH2853 is a selective small molecular dual inhibitor of EZH1/2 with potent anti-tumor activities [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 5436.

Abstract Background Camrelizumab and nab-paclitaxel demonstrated promising anti-tumour activity in refractory metastatic immunomodulatory triple-negative breast cancer (TNBC) in FUTURE trial. Anti-angiogenic agents have been reported to facilitate immune infiltration. Famitinib is a tyrosine kinase inhibitor targeting VEGFR-2, PDGFR and c-kit. The FUTURE-C-PLUS trial (NCT04129996) which added famitinib to camrelizumab and nab-paclitaxel is a single-arm, phase 2 trial evaluating this novel triplet combinatorial strategy in patients with advanced immunomodulatory TNBC. Study design and the primary endpoint ORR has been reported previously (Zhi-ming Shao, et al. ASCO 2021, Abstract 1007). Here, we reported the updated results of this trial. Method Briefly, this study enrolled women aged 18-70 years, with previously untreated, histologically confirmed, unresectable, locally advanced, recurrent or metastatic immunomodulatory TNBC. Immunomodulatory TNBC was defined as CD8 expression on at least 10% of cells using immunohistochemistry analysis. Eligible patients received the triple therapy. Study design has been reported previously in ASCO 2021. Results Between Oct 2019 and Oct 2020, 48 patients were enrolled and treated. 39 (81.3%, 95% CI 70.2-92.3) patients had a confirmed objective response which has been reported in ASCO 2021. At this updating data cutoff (June 30, 2021), the median progression-free survival was 11.9 months (95% CI, 7.3-16.5) with the median follow-up was 14.0 months. While overall survival data were not mature yet, a promising overall survival rate was observed at 12 months (84•2%, 95% CI 73.4-95.0) and 18 months (73.6%, 95% CI 52.0-95.2). In the 39 responders, median duration of response was also not mature. The disease control rate was 95.8% (46/48). The most common treatment-related grade 3 or 4 adverse events were neutropenia (16 [33.3%]), anemia (5 [10.4%]), febrile neutropenia (5 [10.4%]), and thrombocytopenia (4 [8.3%]). No treatment-related deaths were reported. Conclusions These data, combined with those from our previous reports, provide further evidence for the triplet combination of famitinib, camrelizumab and nab-paclitaxel as an active therapy in advanced Immunomodulatory TNBC. To our knowledge, this is the best objective response rate reached in first-line treatment of advanced TNBC. A randomized controlled FUTURE-Super trial (NCT04395989) is keeping recruiting patients to further validate those findings. Citation Format: Li Chen, Yi-Zhou Jiang, Songyang Wu, Jiong Wu, Genhong Di, Guangyu Liu, Keda Yu, Lei Fan, Junjie Li, Yifeng Hou, Zhen Hu, Canming Chen, Xiaoyan Huang, Ayong Cao, Xin Hu, Shen Zhao, Xiaoyan Ma, Xiaoyu Zhu, Jianjun Zou, Wentao Yang, Zhonghua Wang, Zhi-ming Shao. Updated data from FUTURE-C-PLUS: Combination of famitinib with camrelizumab plus nab-paclitaxel as first-line treatment for advanced, immunomodulatory triple-negative breast cancer, an open-label, single-arm, phase 2 trial [abstract]. In: Proceedings of the 2021 San Antonio Breast Cancer Symposium; 2021 Dec 7-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2022;82(4 Suppl):Abstract nr P2-14-04.

Abstract Background: Molecularly targeted therapies are critical for improving cancer treatment. Since proteins are the targets of these therapies and functional effectors of genomic aberrations, proteogenomics data from the Clinical Proteomics Tumor Analysis Consortium (CPTAC) provides an unprecedented opportunity to characterize existing and future therapeutic targets for cancer treatment. Approach: CPTAC proteogenomics data from >1000 cancer patients spanning 10 cancer types was used to evaluate current and potential therapeutic targets curated from four databases. Cell line data from DepMap was further integrated to distinguish causations from associations. Computational pipelines were deployed to identify synthetic lethality for targeting tumor suppressor loss and to prioritize tumor associated antigens as immunotherapy targets. Results: We systematically collected 3050 druggable proteins and classified them into 5 tiers to facilitate different applications such as companion diagnostics, drug repurposing, and new therapy development. Many druggable proteins showed poor mRNA-protein correlation, including secreted proteins and proteins whose abundance was correlated with their interaction partners instead of cognate mRNA, highlighting the necessity of direct proteomic quantification of drug targets. 618 druggable proteins showed both overexpression in tumors compared to normal and significant dependency in CRISPR-Cas9 screens of cell lines of the same lineage. Notably, PAK1, a kinase targeted by investigational drugs, demonstrated both overexpression and dependency in all cancer types. A similar analysis of phosphoproteomics data focusing on known activating sites of druggable proteins further revealed targetable dependencies driven by protein hyperactivation. The phosphosite pS50 on PTPN1, a phosphatase targeted by experimental drugs, was increased in 7 cancer types and PTPN1 demonstrated dependency in related cancer cell lines. Based on tumor proteogenomic data and cell line CRISPR-Cas9 screen data, we identified synthetic lethality for difficult to target tumor suppressor losses, revealing TP53 mutations as a candidate biomarker to select breast cancer patients for CHEK1 inhibition, and endometrial cancer patients for treatment with doxorubicin. We identified 140 proteins whose expression was restricted in normal tissues but abnormal in tumors. Experimental analysis of peptides predicted to have high binding affinity to the most common allotype HLA-A02 for 7 prioritized proteins identified 21 peptides from 5 proteins with both strong binding affinity and immunogenicity which could be further investigated as immunotherapy targets. Conclusion: We generate a comprehensive resource of protein and peptide targets that covers multiple therapeutic modalities. This unique resource will pave the way for repurposing of currently available drugs and developing new drugs for cancer treatment. Citation Format: Jonathan T. Lei, Sara R. Savage, Xinpei Yi, Bo Wen, Hongwei Zhao, Lauren K. Somes, Paul W. Shafer, Yongchao Dou, Qiang Gao, Valentina Hoyos, Bing Zhang. Pan-cancer proteogenomics expands the landscape of therapeutic targets. [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 5726.

Graphene-based composites have received a great deal of attention in recent year because the presence of graphene can enhance the conductivity, strength of bulk materials and help create composites with superior qualities. Moreover, the incorporation of metal oxide nanoparticles such as Fe3O4 can improve the catalytic efficiency of composite material. In this work, we have synthesized a composite material with the combination of reduced graphene oxide (rGO), and Fe3O4 modified tissue-paper (mGO-PP) via a simple hydrothermal method, which improved the removal efficiency of the of methylene blue (MB) in water. MB blue is used as the model of contaminant to evaluate the catalytic efficiency of synthesized material by using a Fenton-like reaction. The obtained materials were characterized by SEM, XRD. The removal of materials with methylene blue is investigated by UV-VIS spectroscopy, and the result shows that mGO-PP composite is the potential composite for the color removed which has the removal efficiency reaching 65% in acetate buffer pH = 3 with the optimal time is 7 h. Keywords Graphene-based composite, methylene blue, Fenton-like reaction. References [1] Ma Joshi, Rue Bansal, Reng Purwar, Colour removal from textile effluents, Indian Journal of Fibre & Textile Research, 29 (2004) 239-259 http://nopr.niscair.res.in/handle/123456789/24631.[2] Kannan Nagar, Sundaram Mariappan, Kinetics and mechanism of removal of methylene blue by adsorption on various carbons-a comparative study, Dyes and pigments, 51 (2001) 25-40 https://doi.org/10.1016/S0143-7208(01)00056-0.[3] K Rastogi, J. N Sahu, B. C Meikap, M. 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