Development of a RNA-Seq based prognostic signature in lung adenocarcinoma
… , exome-capture RNA-seq allows for … RNA-seq data from a lung adenocarcinoma cohort
to identify a robust prognostic gene signature that can be directly incorporated into an RNA-seq …
to identify a robust prognostic gene signature that can be directly incorporated into an RNA-seq …
RNA-Seq profiling of circular RNA in human lung adenocarcinoma and squamous cell carcinoma
C Wang, S Tan, WR Liu, Q Lei, W Qiao, Y Wu, X Liu… - Molecular cancer, 2019 - Springer
… clinical implications of circRNAs in non-small cell lung cancer (NSCLC) remain obscure. In
… of lung adenocarcinoma (LUAD) and squamous cell carcinoma (LUSC) after ribosomal RNA-…
… of lung adenocarcinoma (LUAD) and squamous cell carcinoma (LUSC) after ribosomal RNA-…
Single-cell RNA sequencing demonstrates the molecular and cellular reprogramming of metastatic lung adenocarcinoma
N Kim, HK Kim, K Lee, Y Hong, JH Cho… - Nature …, 2020 - nature.com
… profiling of metastatic lung adenocarcinoma, the most prevalent histological lung cancer type
… molecular and cellular dynamics in metastatic lung cancer and reveals potential diagnostic …
… molecular and cellular dynamics in metastatic lung cancer and reveals potential diagnostic …
[HTML][HTML] Gene expression profiling by targeted RNA sequencing in pathological stage I lung adenocarcinoma with a solid component
Y Kidokoro, T Sakabe, T Haruki, T Kadonaga… - Lung Cancer, 2020 - Elsevier
… Solid predominant adenocarcinoma is considered an … in patients with stage I lung
adenocarcinoma (LUAD). Furthermore, solid … adenocarcinoma or solid predominant …
adenocarcinoma (LUAD). Furthermore, solid … adenocarcinoma or solid predominant …
RNA-seq analysis of lung adenocarcinomas reveals different gene expression profiles between smoking and nonsmoking patients
… with lung adenocarcinoma will provide insights into the etiology of this complex cancer. We
obtained RNA-seq … and 34 smoking patients with lung adenocarcinoma (GEO: GSE40419). R …
obtained RNA-seq … and 34 smoking patients with lung adenocarcinoma (GEO: GSE40419). R …
Identification of stage-specific biomarkers in lung adenocarcinoma based on RNA-seq data
J Liang, J Lv, Z Liu - Tumor Biology, 2015 - Springer
… We aimed to identify stage-specific biomarkers to distinguish lung adenocarcinoma (LAC)
stages in cancer progression. RNA-sequencing data of LAC and matched adjacent non-…
stages in cancer progression. RNA-sequencing data of LAC and matched adjacent non-…
[HTML][HTML] Small RNA sequencing reveals metastasis-related microRNAs in lung adenocarcinoma
… RNA (piRNA) transcriptomes in relation to lung cancer metastasis. RNA-seq was performed
using RNA extracted from formalin-fixed paraffin embedded (FFPE) lung adenocarcinomas (…
using RNA extracted from formalin-fixed paraffin embedded (FFPE) lung adenocarcinomas (…
Single-cell RNA sequencing reveals distinct tumor microenvironmental patterns in lung adenocarcinoma
P Bischoff, A Trinks, B Obermayer, JP Pett… - Oncogene, 2021 - nature.com
… , we applied single-cell RNA sequencing to ten human lung adenocarcinomas and ten normal
control … In summary, single-cell RNA profiling of lung adenocarcinoma provides additional …
control … In summary, single-cell RNA profiling of lung adenocarcinoma provides additional …
Identification of distinct tumor subpopulations in lung adenocarcinoma via single-cell RNA-seq
Single-cell sequencing, which is used to detect clinically important tumor subpopulations, is
necessary for understanding tumor heterogeneity. Here, we analyzed transcriptomic data …
necessary for understanding tumor heterogeneity. Here, we analyzed transcriptomic data …
Deciphering cell lineage specification of human lung adenocarcinoma with single-cell RNA sequencing
Z Wang, Z Li, K Zhou, C Wang, L Jiang, L Zhang… - Nature …, 2021 - nature.com
… into adenocarcinoma in situ and minimally invasive adenocarcinoma, then finally into invasive
adenocarcinoma. … In this study, we perform single-cell RNA sequencing of 268,471 cells …
adenocarcinoma. … In this study, we perform single-cell RNA sequencing of 268,471 cells …
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