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Proteogenomic Characterization of Endometrial Carcinoma.

Yongchao Dou | Emily A Kawaler | Daniel Cui Zhou | Marina A Gritsenko | Chen Huang | Lili Blumenberg | Alla Karpova | Vladislav A Petyuk | Sara R Savage | Shankha Satpathy | Wenke Liu | Yige Wu | Chia-Feng Tsai | Bo Wen | Zhi Li | Song Cao | Jamie Moon | Zhiao Shi | MacIntosh Cornwell | Matthew A Wyczalkowski | Rosalie K Chu | Suhas Vasaikar | Hua Zhou | Qingsong Gao | Ronald J Moore | Kai Li | Sunantha Sethuraman | Matthew E Monroe | Rui Zhao | David Heiman | Karsten Krug | Karl Clauser | Ramani Kothadia | Yosef Maruvka | Alexander R Pico | Amanda E Oliphant | Emily L Hoskins | Samuel L Pugh | Sean J I Beecroft | David W Adams | Jonathan C Jarman | Andy Kong | Hui-Yin Chang | Boris Reva | Yuxing Liao | Dmitry Rykunov | Antonio Colaprico | Xi Steven Chen | Andrzej Czekański | Marcin Jędryka | Rafał Matkowski | Maciej Wiznerowicz | Tara Hiltke | Emily Boja | Christopher R Kinsinger | Mehdi Mesri | Ana I Robles | Henry Rodriguez | David Mutch | Katherine Fuh | Matthew J Ellis | Deborah DeLair | Mathangi Thiagarajan | D R Mani | Gad Getz | Michael Noble | Alexey I Nesvizhskii | Pei Wang | Matthew L Anderson | Douglas A Levine | Richard D Smith | Samuel H Payne | Kelly V Ruggles | Karin D Rodland | Li Ding | Bing Zhang | Tao Liu | David Fenyö | Clinical Proteomic Tumor Analysis Consortium
Cell | 2020

We undertook a comprehensive proteogenomic characterization of 95 prospectively collected endometrial carcinomas, comprising 83 endometrioid and 12 serous tumors. This analysis revealed possible new consequences of perturbations to the p53 and Wnt/β-catenin pathways, identified a potential role for circRNAs in the epithelial-mesenchymal transition, and provided new information about proteomic markers of clinical and genomic tumor subgroups, including relationships to known druggable pathways. An extensive genome-wide acetylation survey yielded insights into regulatory mechanisms linking Wnt signaling and histone acetylation. We also characterized aspects of the tumor immune landscape, including immunogenic alterations, neoantigens, common cancer/testis antigens, and the immune microenvironment, all of which can inform immunotherapy decisions. Collectively, our multi-omic analyses provide a valuable resource for researchers and clinicians, identify new molecular associations of potential mechanistic significance in the development of endometrial cancers, and suggest novel approaches for identifying potential therapeutic targets.

Pubmed ID: 32059776

Associated grants

  • Agency: NCI NIH HHS, United States
    Id: U24 CA210954
  • Agency: NCI NIH HHS, United States
    Id: U24 CA210985
  • Agency: NCI NIH HHS, United States
    Id: U24 CA210967
  • Agency: NCI NIH HHS, United States
    Id: U24 CA210986
  • Agency: NCI NIH HHS, United States
    Id: U24 CA210972
  • Agency: NCI NIH HHS, United States
    Id: U24 CA210993
  • Agency: NCI NIH HHS, United States
    Id: U24 CA210979
  • Agency: NCI NIH HHS, United States
    Id: U01 CA214125
  • Agency: NCI NIH HHS, United States
    Id: UG1 CA233339
  • Agency: NCI NIH HHS, United States
    Id: U24 CA210955
  • Agency: NIGMS NIH HHS, United States
    Id: P20 GM130423

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This is a list of tools and resources that we have found mentioned in this publication.


MSIsensor (tool)

RRID:SCR_006418

A C++ software program for automatically detecting somatic and germline variants at microsatellite regions. It computes length distributions of microsatellites per site in paired tumor and normal sequence data, subsequently using these to statistically compare observed distributions in both samples.

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VARSCAN (tool)

RRID:SCR_006849

A platform-independent, technology-independent software tool for identifying SNPs and indels in massively parallel sequencing of individual and pooled samples. Given data for a single sample, VarScan identifies and filters germline variants based on read counts, base quality, and allele frequency. Given data for a tumor-normal pair, VarScan also determines the somatic status of each variant (Germline, Somatic, or LOH) by comparing read counts between samples. (entry from Genetic Analysis Software)

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CTDatabase (tool)

RRID:SCR_007614

A database of information about each Cancer-Testis (CT) gene, its gene products and the immune response induced in cancer patients by these proteins. CT antigens are proteins normally expressed only in the human germ line but that are also present in a significant subset of malignant tumors. The practical importance of these proteins is that due to their restricted expression pattern they are frequently recognized by the immune system of cancer patients. Moreover, this antigenicity has raised the possibility of their being used as vaccines to actively stimulate immune responses in order to combat tumor growth. As a result worldwide research into many aspects of CT antigens is rapidly growing prompting the construction of this database as a resource for investigators involved in this area.

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Illumina (tool)

RRID:SCR_010233

American company incorporated that develops, manufactures and markets integrated systems for the analysis of genetic variation and biological function. Provides a line of products and services that serve the sequencing, genotyping and gene expression and proteomics markets. Its headquarters are located in San Diego, California.

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BWA (tool)

RRID:SCR_010910

Software for aligning sequencing reads against large reference genome. Consists of three algorithms: BWA-backtrack, BWA-SW and BWA-MEM. First for sequence reads up to 100bp, and other two for longer sequences ranged from 70bp to 1Mbp.

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Bowtie 2 (tool)

RRID:SCR_016368

Ultrafast and memory efficient tool for aligning sequencing reads to long reference sequences. Supports gapped, local, and paired end alignment modes. More suited to finding longer, gapped alignments in comparison with original Bowtie method.

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UniProt (data or information resource)

RRID:SCR_002380

Collection of data of protein sequence and functional information. Resource for protein sequence and annotation data. Consortium for preservation of the UniProt databases: UniProt Knowledgebase (UniProtKB), UniProt Reference Clusters (UniRef), and UniProt Archive (UniParc), UniProt Proteomes. Collaboration between European Bioinformatics Institute (EMBL-EBI), SIB Swiss Institute of Bioinformatics and Protein Information Resource. Swiss-Prot is a curated subset of UniProtKB.

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RefSeq (data or information resource)

RRID:SCR_003496

Collection of curated, non-redundant genomic DNA, transcript RNA, and protein sequences produced by NCBI. Provides a reference for genome annotation, gene identification and characterization, mutation and polymorphism analysis, expression studies, and comparative analyses. Accessed through the Nucleotide and Protein databases.

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