JP2020523022A5 - - Google Patents

Download PDF

Info

Publication number
JP2020523022A5
JP2020523022A5 JP2019568654A JP2019568654A JP2020523022A5 JP 2020523022 A5 JP2020523022 A5 JP 2020523022A5 JP 2019568654 A JP2019568654 A JP 2019568654A JP 2019568654 A JP2019568654 A JP 2019568654A JP 2020523022 A5 JP2020523022 A5 JP 2020523022A5
Authority
JP
Japan
Prior art keywords
expression profile
gene
genes
subject
immunotherapy
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
JP2019568654A
Other languages
English (en)
Japanese (ja)
Other versions
JP2020523022A (ja
Filing date
Publication date
Application filed filed Critical
Priority claimed from PCT/US2018/037579 external-priority patent/WO2018232142A1/en
Publication of JP2020523022A publication Critical patent/JP2020523022A/ja
Publication of JP2020523022A5 publication Critical patent/JP2020523022A5/ja
Pending legal-status Critical Current

Links

JP2019568654A 2017-06-14 2018-06-14 免疫療法に反応する肝細胞癌のクラスの検出および治療方法 Pending JP2020523022A (ja)

Applications Claiming Priority (5)

Application Number Priority Date Filing Date Title
US201762519711P 2017-06-14 2017-06-14
US62/519,711 2017-06-14
US201862629231P 2018-02-12 2018-02-12
US62/629,231 2018-02-12
PCT/US2018/037579 WO2018232142A1 (en) 2017-06-14 2018-06-14 Methods for the detection and treatment of classes of hepatocellular carcinoma responsive to immunotherapy

Publications (2)

Publication Number Publication Date
JP2020523022A JP2020523022A (ja) 2020-08-06
JP2020523022A5 true JP2020523022A5 (enExample) 2021-07-26

Family

ID=64660235

Family Applications (1)

Application Number Title Priority Date Filing Date
JP2019568654A Pending JP2020523022A (ja) 2017-06-14 2018-06-14 免疫療法に反応する肝細胞癌のクラスの検出および治療方法

Country Status (5)

Country Link
US (1) US11473150B2 (enExample)
EP (1) EP3638695A4 (enExample)
JP (1) JP2020523022A (enExample)
CN (1) CN111164103A (enExample)
WO (1) WO2018232142A1 (enExample)

Families Citing this family (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20220112564A1 (en) * 2019-02-14 2022-04-14 Merck Sharp & Dohme Corp. Gene expression based biomarker of tumor response to pd-1 antagonists
IL291748A (en) * 2019-11-07 2022-06-01 Oncxerna Therapeutics Inc Classification of growth microenvironments
EP3868897A1 (en) * 2020-02-20 2021-08-25 Worldwide Innovative Network Method for improving the treatment with immune checkpoint blockade therapy
CN113215253B (zh) * 2020-06-05 2022-10-25 冠科生物技术(苏州)有限公司 用于评估鼠类肿瘤模型中的免疫反应的方法和组合物
CN112530581B (zh) * 2020-12-03 2023-11-21 安徽医科大学第一附属医院 一种前列腺癌患者的免疫分子分类系统及其应用
CN112735521B (zh) * 2021-01-22 2023-09-22 安徽医科大学第一附属医院 一种指导选择适用于抗pd-1/pd-l1免疫治疗患者的膀胱癌免疫分类系统
CN113380318B (zh) * 2021-06-07 2023-04-07 天津金域医学检验实验室有限公司 人工智能辅助流式细胞术40cd免疫表型检测方法及系统
CN117275733A (zh) * 2023-11-17 2023-12-22 中日友好医院(中日友好临床医学研究所) 基于影像组学预测肿瘤免疫状态及治疗反应的方法及装置
WO2025227286A1 (zh) * 2024-04-28 2025-11-06 浙江大学医学院附属邵逸夫医院 一种识别肝细胞肝癌新亚型的基因模型构建方法及应用
CN118098378B (zh) * 2024-04-28 2024-07-19 浙江大学医学院附属邵逸夫医院 一种识别肝细胞肝癌新亚型的基因模型构建方法及应用
CN119530396A (zh) * 2025-01-22 2025-02-28 中国科学院杭州医学研究所 预测肿瘤免疫治疗效果的标志物及系统

Family Cites Families (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP2081442B1 (en) 2006-10-10 2016-08-10 TrovaGene, Inc. Compositions, methods and kits for isolating nucleic acids from body fluids using anion exchange media
WO2009055480A2 (en) 2007-10-22 2009-04-30 The United States Of America, As Represented By The Secretary, Department Of Health And Human Services Tgf-beta gene expression signature in cancer prognosis
AU2009257410B2 (en) * 2008-06-11 2014-03-06 Fudan University Use of miR-26 family as a predictive marker of hepatocellular carcinoma and responsiveness to therapy
US20140017227A1 (en) * 2011-01-14 2014-01-16 Suk Peng Chew Gene signatures for use with hepatocellular carcinoma
US11242564B2 (en) 2012-07-12 2022-02-08 Inserm (Institut National De La Sante Et De La Recherche Medicale) Methods for predicting the survival time and treatment responsiveness of a patient suffering from a solid cancer with a signature of at least 7 genes
US20150297310A1 (en) * 2014-04-17 2015-10-22 Georgia Regents Research Institute, Inc. Methods for selecting a treatment for cancer
GB201501017D0 (en) 2014-12-23 2015-03-04 Immatics Biotechnologies Gmbh Novel peptides and combination of peptides for use in immunotherapy against hepatocellular carcinoma (HCC) and other cancers
WO2016109546A2 (en) * 2014-12-30 2016-07-07 Genentech, Inc. Methods and compositions for prognosis and treatment of cancers

Similar Documents

Publication Publication Date Title
JP2020523022A5 (enExample)
Wang et al. FDA-approved and emerging next generation predictive biomarkers for immune checkpoint inhibitors in cancer patients
Kidman et al. Characteristics of TCR repertoire associated with successful immune checkpoint therapy responses
Yarchoan et al. PD-L1 expression and tumor mutational burden are independent biomarkers in most cancers
Liu et al. Characteristics and prognostic significance of profiling the peripheral blood T‐cell receptor repertoire in patients with advanced lung cancer
McGranahan et al. Cancer chromosomal instability: therapeutic and diagnostic challenges: ‘Exploring aneuploidy: the significance of chromosomal imbalance’review series
Warth et al. EGFR, KRAS, BRAF and ALK gene alterations in lung adenocarcinomas: patient outcome, interplay with morphology and immunophenotype
Torres et al. Serum cytokine profile in patients with pancreatic cancer
Jung et al. High tumor mutational burden predicts favorable response to anti-PD-(L) 1 therapy in patients with solid tumor: a real-world pan-tumor analysis
Perea et al. HLA class I loss and PD-L1 expression in lung cancer: impact on T-cell infiltration and immune escape
Norman et al. Anti‐kelch‐like 12 and anti‐hexokinase 1: novel autoantibodies in primary biliary cirrhosis
Clinton et al. Genomic heterogeneity as a barrier to precision oncology in urothelial cancer
Madore et al. PD‐L1 expression in melanoma shows marked heterogeneity within and between patients: implications for anti‐PD‐1/PD‐L 1 clinical trials
Khoja et al. Circulating tumour cells as tumour biomarkers in melanoma: detection methods and clinical relevance
Timperi et al. Regulatory T cells with multiple suppressive and potentially pro-tumor activities accumulate in human colorectal cancer
Chan et al. Lymphoepithelioma-like hepatocellular carcinoma: an uncommon variant of hepatocellular carcinoma with favorable outcome
Micalizzi et al. Cancer metastasis through the prism of epithelial‐to‐mesenchymal transition in circulating tumor cells
Fujii et al. Mutation-enrichment next-generation sequencing for quantitative detection of KRAS mutations in urine cell-free DNA from patients with advanced cancers
Qiu et al. Predictive value of thymidylate synthase expression in advanced colorectal cancer patients receiving fluoropyrimidine‐based chemotherapy: evidence from 24 studies
Svensson et al. Accumulation of CCR4+ CTLA-4hi FOXP3+ CD25hi regulatory T cells in colon adenocarcinomas correlate to reduced activation of conventional T cells
Torphy et al. Circulating tumor cells as a biomarker of response to treatment in patient-derived xenograft mouse models of pancreatic adenocarcinoma
Richard et al. Exome analysis reveals genomic markers associated with better efficacy of nivolumab in lung cancer patients
Ferrín et al. Biomarkers for hepatocellular carcinoma: diagnostic and therapeutic utility
Zhao et al. Levels of plasma Epstein-Barr virus DNA prior and subsequent to treatment predicts the prognosis of nasopharyngeal carcinoma
Ridder et al. Comprehensive clinicopathologic study of alpha fetoprotein‐expression in a large cohort of patients with hepatocellular carcinoma