Locally Advanced Rectal Cancer Transcriptomic-based Secretome Analysis Reveals Novel Biomarkers Useful To Identify Patients According To Neoadjuvant Chemoradiotherapy Response
Posted on
SCIENTIFIC REPORTS
Luisa Matos doCanto, Sarah Santiloni Cury, Mateus Camargo Barros-Filho, Bruna Elisa Catin Kupper, Maria Dirlei Ferreira de Souza Begnami, Cristovam Scapulatempo-Neto, Robson Francisco Carvalho, Fabio Albuquerque Marchi, Dorte Aalund Olsen, Jonna Skov Madsen, Birgitte Mayland Havelund, Samuel Aguiar Jr., Silvia Regina Rogatto.
Sci Rep. 2019 Jun 18;9(1):8702
DOI: 10.1038/s41598-019-45151-w
Abstract
Most patients with locally advanced rectal cancer (LARC) present incomplete pathological response (pIR) to neoadjuvant chemoradiotherapy (nCRT). Despite the efforts to predict treatment response using tumor-molecular features, as differentially expressed genes, no molecule has proved to be a strong biomarker. The tumor secretome analysis is a promising strategy for biomarkers identification, which can be assessed using transcriptomic data. We performed transcriptomic-based secretome analysis to select potentially secreted proteins using an in silico approach. The tumor expression profile of 28 LARC biopsies collected before nCRT was compared with normal rectal tissues (NT). The expression profile showed no significant differences between complete (pCR) and incomplete responders to nCRT. Genes with increased expression (pCR = 106 and pIR = 357) were used for secretome analysis based on public databases (Vesiclepedia, Human Cancer Secretome, and Plasma Proteome). Seventeen potentially secreted candidates (pCR = 1, pIR = 13 and 3 in both groups) were further investigated in two independent datasets (TCGA and GSE68204) confirming their over-expression in LARC and association with nCRT response (GSE68204). The expression of circulating amphiregulin and cMET proteins was confirmed in serum from 14 LARC patients. Future studies in liquid biopsies could confirm the utility of these proteins for personalized treatment in LARC patients.
Share This Post
Related Posts
Neurology
Comparative Spatial Analyses of the Tumor Immune Landscape in Mouse Models of Glioblastoma Using the PhenoCode Discovery Mouse Neuro Panel and Customized Markers
Poster Background Developing effective therapies for glioblastoma (GBM) relies on robust preclinical animal models that enable detailed investigation of tumor biology, discovery of therapeutic targets, and evaluation of new treatment…
Oncology
Development of a Spatial Metabolic Map of Immunotherapy Sensitive and Resistant Cutaneous Skin Carcinoma
Poster Background Ultrahigh-Plex Single-cell Spatial Phenotyping has revealed valuable insights into the tumor immune microenvironment (TiME) for biomarker discovery and stratification of clinical responses. Metabolic reprogramming is a key hallmark…
Spatial Immunometabolic Profiling of Non-Small Cell Lung Cancer Reveals Distinct Immune Exclusion Patterns and Functional Niches
Analytical validation of a multiplex immunofluorescence 7-Biomarker Immunoprint® assay on the Akoya PhenoImager HT platform for stage I/II Melanoma
Neurology
Neurodegenerative biomarkers in different chambers of the eye relative to plasma: an agreement validation study
Alzheimer’s Research and Therapy | August 26, 2024 Sampani K, Ness S, Tuz-Zahra F, Aytan N, Spurlock EE, Alluri S, Chen X, Siegel NH, Alosco ML, Xia W, Tripodis Y,…
Neurology
Clinical validation of the LucentAD p-Tau 217 as a lab developed test (LDT) for clinical use
Poster The intersection of new therapeutic options for Alzheimer’s disease (AD), the emergence of accurate blood-based tests for AD, and the anticipated health system log jam for confirmatory diagnostic testing…
Neurology
Development of thresholds and a visualization tool for use of a blood test in routine clinical dementia practice
Alzheimer’s & Dementia | August 3, 2024 Verberk IMW, Jutte J, Kingma MY, Vigneswaran S, Gouda MMTEE, van Engelen MP, Alcolea D, Arranz J, Fortea J, Lleó A, Chevalier C,…
Neurology
Discovering novel plasma biomarkers for ischemic stroke: Lipidomic and metabolomic analyses in an aged mouse model
Journal of Lipid Research | August 2, 2024 Becktel DA, Frye JB, Le EH, Whitman SA, Schnellmann RG, Morrison HW, Doyle KP. J Lipid Res. 2024 https://doi.org/10.1016/j.jlr.2024.100614 Abstract Ischemic stroke…