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本文引用的文献

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Actionable Cytopathogenic Host Responses of Human Alveolar Type 2 Cells to SARS-CoV-2.人类肺泡 II 型细胞对 SARS-CoV-2 的可操作细胞致病宿主反应。
Mol Cell. 2020 Dec 17;80(6):1104-1122.e9. doi: 10.1016/j.molcel.2020.11.028. Epub 2020 Nov 19.
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BET, SRC, and BCL2 family inhibitors are synergistic drug combinations with PARP inhibitors in ovarian cancer.BET、SRC 和 BCL2 家族抑制剂与 PARP 抑制剂在卵巢癌中具有协同作用。
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Organoid Models of Tumor Immunology.肿瘤免疫学的类器官模型。
Trends Immunol. 2020 Aug;41(8):652-664. doi: 10.1016/j.it.2020.06.010. Epub 2020 Jul 9.
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Cancer cells educate natural killer cells to a metastasis-promoting cell state.癌细胞将自然杀伤细胞诱导为促进转移的细胞状态。
J Cell Biol. 2020 Sep 7;219(9). doi: 10.1083/jcb.202001134.
5
RAS-targeted therapies: is the undruggable drugged?RAS 靶向治疗:无药可治的靶点被攻克了?
Nat Rev Drug Discov. 2020 Aug;19(8):533-552. doi: 10.1038/s41573-020-0068-6. Epub 2020 Jun 11.
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Diversity and Biology of Cancer-Associated Fibroblasts.癌症相关成纤维细胞的多样性与生物学特性。
Physiol Rev. 2021 Jan 1;101(1):147-176. doi: 10.1152/physrev.00048.2019. Epub 2020 May 28.
7
Pancreatic cancer stroma: an update on therapeutic targeting strategies.胰腺癌基质:治疗靶点策略的最新进展。
Nat Rev Gastroenterol Hepatol. 2020 Aug;17(8):487-505. doi: 10.1038/s41575-020-0300-1. Epub 2020 May 11.
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Synaptic Communication in Brain Cancer.脑肿瘤中的突触通讯。
Cancer Res. 2020 Jul 15;80(14):2979-2982. doi: 10.1158/0008-5472.CAN-20-0646. Epub 2020 May 7.
9
Response and Resistance to BCR-ABL1-Targeted Therapies.BCR-ABL1 靶向治疗的反应和耐药性。
Cancer Cell. 2020 Apr 13;37(4):530-542. doi: 10.1016/j.ccell.2020.03.006.
10
The Frequency of Ras Mutations in Cancer.癌症中 Ras 突变的频率。
Cancer Res. 2020 Jul 15;80(14):2969-2974. doi: 10.1158/0008-5472.CAN-19-3682. Epub 2020 Mar 24.

癌症靶点的扩展宇宙。

An expanded universe of cancer targets.

机构信息

Dana-Farber Cancer Institute, Department of Medical Oncology, 450 Brookline Avenue, Boston, MA, USA.

Department of Biomedical Engineering and Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University, Baltimore, MD, USA.

出版信息

Cell. 2021 Mar 4;184(5):1142-1155. doi: 10.1016/j.cell.2021.02.020.

DOI:10.1016/j.cell.2021.02.020
PMID:
33667368
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8066437/
Abstract

The characterization of cancer genomes has provided insight into somatically altered genes across tumors, transformed our understanding of cancer biology, and enabled tailoring of therapeutic strategies. However, the function of most cancer alleles remains mysterious, and many cancer features transcend their genomes. Consequently, tumor genomic characterization does not influence therapy for most patients. Approaches to understand the function and circuitry of cancer genes provide complementary approaches to elucidate both oncogene and non-oncogene dependencies. Emerging work indicates that the diversity of therapeutic targets engendered by non-oncogene dependencies is much larger than the list of recurrently mutated genes. Here we describe a framework for this expanded list of cancer targets, providing novel opportunities for clinical translation.

摘要

癌症基因组的特征分析为肿瘤中体细胞改变的基因提供了深入了解,改变了我们对癌症生物学的认识,并使治疗策略得以定制。然而,大多数癌症等位基因的功能仍然是神秘的,许多癌症特征超越了它们的基因组。因此,肿瘤基因组特征分析并不能影响大多数患者的治疗。了解癌症基因的功能和电路的方法提供了互补的方法,以阐明致癌基因和非致癌基因的依赖性。新出现的工作表明,由非致癌基因依赖性产生的治疗靶点的多样性比反复突变基因的列表大得多。在这里,我们描述了这个扩展的癌症靶点列表的框架,为临床转化提供了新的机会。