首页> 外文OA文献 >A nine-gene signature related to tumor microenvironment predicts overall survival with ovarian cancer

【2h】

A nine-gene signature related to tumor microenvironment predicts overall survival with ovarian cancer

机译：与肿瘤微环境相关的9个基因签名预测卵巢癌的整体存活

代理获取

本网站仅为用户提供外文OA文献查询和代理获取服务，本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文，但由于OA文献来源多样且变更频繁，仍可能出现获取不到、文献不完整或与标题不符等情况，如果获取不到我们将提供退款服务。请知悉。

页面导航

著录项
引文网络
相似文献
相关主题

著录项

作者
Qi Ding; Shanshan Dong; Ranran Wang; Keqiang Zhang; Hui Wang; Xiao Zhou; Jing Wang; Kee Wong; Ying Long; Shuai Zhu; Weigang Wang; Huayi Ren; Yong Zeng;
展开▼
作者单位

展开▼
年度 2020
总页数
原文格式 PDF
正文语种
中图分类

相似文献

外文文献
中文文献
专利

1. Tumor-intrinsic and -extrinsic (immune) gene signatures robustly predict overall survival and treatment response in high grade serous ovarian cancer patients [J] . David P Mysona, Lynn Tran, Shan Bai, American Journal of Cancer Research . 2021,第1期

机译：肿瘤内在和 - inexcrinsic（免疫）基因签名鲁棒地预测高级浆液癌患者的整体存活和治疗反应
2. Myeloid cell signatures in tumor microenvironment predicts therapeutic response in cancer [J] . Bhagelu R Achyut, Ali S Arbab OncoTargets and therapy . 2016,第1期

机译：肿瘤微环境中的髓样细胞特征可预测癌症的治疗反应
3. Construction of integrated microRNA and mRNA immune cell signatures to predict survival of patients with breast and ovarian cancer [J] . Ray Mondira, Ruffalo Matthew M., Bar-Joseph Ziv Genes, Chromosomes and Cancer . 2019,第1期

机译：综合MicroRNA和mRNA免疫细胞签名的构建，以预测乳腺癌患者的存活
4. Computer extracted features related to the spatialarrangement of tumor-infiltrating lymphocytes predict overall survival in epithelial ovarian cancer receiving adjuvant chemotherapy [C] . Sepideh Azarianpour, Germán Corredor, Kaustav Bera, Conference on Medical Imaging: Digital Pathology . 2020

机译：计算机提取与空间相关的功能肿瘤浸润淋巴细胞的安排预测上皮性卵巢癌接受佐剂化疗的整体存活
5. Mature Neutrophils Suppress T Cell Immunity in the Tumor Microenvironment of Advanced Epithelial Ovarian Cancer [D] . Singel, Kelly Louise. 2019

机译：成熟的中性粒细胞抑制晚期上皮性卵巢癌肿瘤微环境中的T细胞免疫。
6. A nine-gene signature related to tumor microenvironment predicts overall survival with ovarian cancer [O] . Qi Ding, Shanshan Dong, Ranran Wang, 2020

机译：与肿瘤微环境有关的九个基因标志预测卵巢癌的总体生存
7. Analysis of Autophagy-Related Signatures Identified Two Distinct Subtypes for Evaluating the Tumor Immune Microenvironment and Predicting Prognosis in Ovarian Cancer [O] . Xingyu Chen, Hua Lan, Dong He, 2021

机译：与自噬相关签名分析确定了用于评估肿瘤免疫微环境和预测卵巢癌预后的两种不同的亚型

A nine-gene signature related to tumor microenvironment predicts overall survival with ovarian cancer

著录项

引文网络

相似文献

相关主题

期刊订阅