Asset Details
MbrlCatalogueTitleDetail
Do you wish to reserve the book?
Large-scale and high-resolution mass spectrometry-based proteomics profiling defines molecular subtypes of esophageal cancer for therapeutic targeting
by
Xie, Lei
, Li, En-Min
, Li, Cheng-Yu
, Wang, Wei
, Liu, Wei
, Gao, Xiang
, Wu, Zhi-Yong
, Lin, Wan
, Deng, Dan-Xia
, Xu, Li-Yan
, Zhang, Guo-Rui
, Xu, Xin
, Xu, Xiu-E
, He, Yao-Hui
, Liao, Lian-Di
, Peng, Liu
, Liu, Lu-Xin
, Wang, Shao-Hong
, Heng, Jing-Hua
, Huang, Qing-Feng
, Bai, Xue-Feng
, Zhang, Zhi-Da
, Li, Chun-Quan
, Liu, Wen
in
13/1
/ 13/51
/ 631/337/475
/ 631/67/1059/153
/ 631/67/1857
/ 64/60
/ 82/58
/ Biomarkers, Tumor - genetics
/ Biomarkers, Tumor - metabolism
/ Cancer
/ Cell Cycle
/ Cohort Studies
/ Drug development
/ Drugs
/ Elongin - genetics
/ Elongin - metabolism
/ Esophageal cancer
/ Esophageal Neoplasms - genetics
/ Esophageal Neoplasms - metabolism
/ Esophagus
/ Gene Expression Profiling
/ Gene Expression Regulation, Neoplastic
/ Humanities and Social Sciences
/ Humans
/ Mass spectrometry
/ Mass Spectrometry - methods
/ Mass spectroscopy
/ multidisciplinary
/ Patients
/ Prognosis
/ Proteins
/ Proteomics
/ Ribosomal proteins
/ Science
/ Science (multidisciplinary)
/ Scientific imaging
/ Serine-Arginine Splicing Factors - genetics
/ Serine-Arginine Splicing Factors - metabolism
/ Spectroscopy
/ Therapeutic targets
/ Tumors
2021
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
You are currently in the queue to collect this book. You will be notified once it is your turn to collect the book.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
Large-scale and high-resolution mass spectrometry-based proteomics profiling defines molecular subtypes of esophageal cancer for therapeutic targeting
by
Xie, Lei
, Li, En-Min
, Li, Cheng-Yu
, Wang, Wei
, Liu, Wei
, Gao, Xiang
, Wu, Zhi-Yong
, Lin, Wan
, Deng, Dan-Xia
, Xu, Li-Yan
, Zhang, Guo-Rui
, Xu, Xin
, Xu, Xiu-E
, He, Yao-Hui
, Liao, Lian-Di
, Peng, Liu
, Liu, Lu-Xin
, Wang, Shao-Hong
, Heng, Jing-Hua
, Huang, Qing-Feng
, Bai, Xue-Feng
, Zhang, Zhi-Da
, Li, Chun-Quan
, Liu, Wen
in
13/1
/ 13/51
/ 631/337/475
/ 631/67/1059/153
/ 631/67/1857
/ 64/60
/ 82/58
/ Biomarkers, Tumor - genetics
/ Biomarkers, Tumor - metabolism
/ Cancer
/ Cell Cycle
/ Cohort Studies
/ Drug development
/ Drugs
/ Elongin - genetics
/ Elongin - metabolism
/ Esophageal cancer
/ Esophageal Neoplasms - genetics
/ Esophageal Neoplasms - metabolism
/ Esophagus
/ Gene Expression Profiling
/ Gene Expression Regulation, Neoplastic
/ Humanities and Social Sciences
/ Humans
/ Mass spectrometry
/ Mass Spectrometry - methods
/ Mass spectroscopy
/ multidisciplinary
/ Patients
/ Prognosis
/ Proteins
/ Proteomics
/ Ribosomal proteins
/ Science
/ Science (multidisciplinary)
/ Scientific imaging
/ Serine-Arginine Splicing Factors - genetics
/ Serine-Arginine Splicing Factors - metabolism
/ Spectroscopy
/ Therapeutic targets
/ Tumors
2021
Oops! Something went wrong.
While trying to remove the title from your shelf something went wrong :( Kindly try again later!
Do you wish to request the book?
Large-scale and high-resolution mass spectrometry-based proteomics profiling defines molecular subtypes of esophageal cancer for therapeutic targeting
by
Xie, Lei
, Li, En-Min
, Li, Cheng-Yu
, Wang, Wei
, Liu, Wei
, Gao, Xiang
, Wu, Zhi-Yong
, Lin, Wan
, Deng, Dan-Xia
, Xu, Li-Yan
, Zhang, Guo-Rui
, Xu, Xin
, Xu, Xiu-E
, He, Yao-Hui
, Liao, Lian-Di
, Peng, Liu
, Liu, Lu-Xin
, Wang, Shao-Hong
, Heng, Jing-Hua
, Huang, Qing-Feng
, Bai, Xue-Feng
, Zhang, Zhi-Da
, Li, Chun-Quan
, Liu, Wen
in
13/1
/ 13/51
/ 631/337/475
/ 631/67/1059/153
/ 631/67/1857
/ 64/60
/ 82/58
/ Biomarkers, Tumor - genetics
/ Biomarkers, Tumor - metabolism
/ Cancer
/ Cell Cycle
/ Cohort Studies
/ Drug development
/ Drugs
/ Elongin - genetics
/ Elongin - metabolism
/ Esophageal cancer
/ Esophageal Neoplasms - genetics
/ Esophageal Neoplasms - metabolism
/ Esophagus
/ Gene Expression Profiling
/ Gene Expression Regulation, Neoplastic
/ Humanities and Social Sciences
/ Humans
/ Mass spectrometry
/ Mass Spectrometry - methods
/ Mass spectroscopy
/ multidisciplinary
/ Patients
/ Prognosis
/ Proteins
/ Proteomics
/ Ribosomal proteins
/ Science
/ Science (multidisciplinary)
/ Scientific imaging
/ Serine-Arginine Splicing Factors - genetics
/ Serine-Arginine Splicing Factors - metabolism
/ Spectroscopy
/ Therapeutic targets
/ Tumors
2021
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
Large-scale and high-resolution mass spectrometry-based proteomics profiling defines molecular subtypes of esophageal cancer for therapeutic targeting
Journal Article
Large-scale and high-resolution mass spectrometry-based proteomics profiling defines molecular subtypes of esophageal cancer for therapeutic targeting
2021
Request Book From Autostore
and Choose the Collection Method
Overview
Esophageal cancer (EC) is a type of aggressive cancer without clinically relevant molecular subtypes, hindering the development of effective strategies for treatment. To define molecular subtypes of EC, we perform mass spectrometry-based proteomic and phosphoproteomics profiling of EC tumors and adjacent non-tumor tissues, revealing a catalog of proteins and phosphosites that are dysregulated in ECs. The EC cohort is stratified into two molecular subtypes—S1 and S2—based on proteomic analysis, with the S2 subtype characterized by the upregulation of spliceosomal and ribosomal proteins, and being more aggressive. Moreover, we identify a subtype signature composed of ELOA and SCAF4, and construct a subtype diagnostic and prognostic model. Potential drugs are predicted for treating patients of S2 subtype, and three candidate drugs are validated to inhibit EC. Taken together, our proteomic analysis define molecular subtypes of EC, thus providing a potential therapeutic outlook for improving disease outcomes in patients with EC.
Proteomics can aid in the identification of molecular subtypes in cancers. Here, the authors perform proteomic profiling of 124 paired oesophageal cancer and adjacent non-tumour tissues and identify two subtypes that are associated with patient survival for therapeutic targeting.
Publisher
Nature Publishing Group UK,Nature Publishing Group,Nature Portfolio
Subject
/ 13/51
/ 64/60
/ 82/58
/ Biomarkers, Tumor - genetics
/ Biomarkers, Tumor - metabolism
/ Cancer
/ Drugs
/ Esophageal Neoplasms - genetics
/ Esophageal Neoplasms - metabolism
/ Gene Expression Regulation, Neoplastic
/ Humanities and Social Sciences
/ Humans
/ Patients
/ Proteins
/ Science
/ Serine-Arginine Splicing Factors - genetics
/ Serine-Arginine Splicing Factors - metabolism
/ Tumors
This website uses cookies to ensure you get the best experience on our website.