BACKGROUND AND OBJECTIVE: Early detection of colon adenomas at high risk of progression and early-stage colorectal cancer (CRC) is an effective approach to reduce CRC death rates. Current screening methods lack specificity as they detect many adenomas that will never progress to CRC. The authors aimed to identify cell surface protein biomarkers with extracellular domains that could be targeted for molecular imaging and discriminate low-risk adenomas and normal colon from high-risk adenomas and CRC. DESIGN: Cell surface proteins of five CRC cell lines were biotinylated, isolated and analysed by in-depth proteomics using gel electrophoresis and nanoliquid chromatography coupled to tandem mass spectrometry. Differential expression in adenomas and CRCs was based on mRNA expression and verified by immunohistochemical staining of tissue microarrays. RESULTS: In total, 2609 proteins were identified in the cell surface fractions. Of these, 44 proteins were selected as promising cell surface candidate biomarkers for adenoma-to-carcinoma progression based on the following criteria: protein identification in at least four out of five cell lines, a predicted (trans)membrane location and increased mRNA expression in CRCs compared to adenomas. Increased protein expression in high-risk adenomas and CRCs compared to low-risk adenomas was confirmed by immunohistochemistry for glucose transporter type 1 (gene symbol SLC2A1; p<0.00001) and prion protein (gene symbol PRNP; p<0.005). CONCLUSION: This study revealed glucose transporter type 1, prion protein and 42 other cell surface candidate biomarkers for adenoma-to-carcinoma progression that could potentially serve as targets for emerging molecular imaging modalities like optical imaging, ¹⁹F-MRI and positron emission tomography.
BACKGROUND AND OBJECTIVE: Early detection of colon adenomas at high risk of progression and early-stage colorectal cancer (CRC) is an effective approach to reduce CRC death rates. Current screening methods lack specificity as they detect many adenomas that will never progress to CRC. The authors aimed to identify cell surface protein biomarkers with extracellular domains that could be targeted for molecular imaging and discriminate low-risk adenomas and normal colon from high-risk adenomas and CRC. DESIGN: Cell surface proteins of five CRC cell lines were biotinylated, isolated and analysed by in-depth proteomics using gel electrophoresis and nanoliquid chromatography coupled to tandem mass spectrometry. Differential expression in adenomas and CRCs was based on mRNA expression and verified by immunohistochemical staining of tissue microarrays. RESULTS: In total, 2609 proteins were identified in the cell surface fractions. Of these, 44 proteins were selected as promising cell surface candidate biomarkers for adenoma-to-carcinoma progression based on the following criteria: protein identification in at least four out of five cell lines, a predicted (trans)membrane location and increased mRNA expression in CRCs compared to adenomas. Increased protein expression in high-risk adenomas and CRCs compared to low-risk adenomas was confirmed by immunohistochemistry for glucose transporter type 1 (gene symbol SLC2A1; p<0.00001) and prion protein (gene symbol PRNP; p<0.005). CONCLUSION: This study revealed glucose transporter type 1, prion protein and 42 other cell surface candidate biomarkers for adenoma-to-carcinoma progression that could potentially serve as targets for emerging molecular imaging modalities like optical imaging, ¹⁹F-MRI and positron emission tomography.
Authors: Cristina L Zavaleta; Ellis Garai; Jonathan T C Liu; Steven Sensarn; Michael J Mandella; Dominique Van de Sompel; Shai Friedland; Jacques Van Dam; Christopher H Contag; Sanjiv S Gambhir Journal: Proc Natl Acad Sci U S A Date: 2013-05-23 Impact factor: 11.205
Authors: J H Lee; Y-S Han; Y M Yoon; C W Yun; S P Yun; S M Kim; H Y Kwon; D Jeong; M J Baek; H J Lee; S-J Lee; H J Han; S H Lee Journal: Oncogene Date: 2017-07-31 Impact factor: 9.867
Authors: Pu Chun Ke; Marc-Antonie Sani; Feng Ding; Aleksandr Kakinen; Ibrahim Javed; Frances Separovic; Thomas P Davis; Raffaele Mezzenga Journal: Chem Soc Rev Date: 2017-10-30 Impact factor: 54.564
Authors: Anke H Sillars-Hardebol; Beatriz Carvalho; Jeroen A M Beliën; Meike de Wit; Pien M Delis-van Diemen; Marianne Tijssen; Mark A van de Wiel; Fredrik Pontén; Gerrit A Meijer; Remond J A Fijneman Journal: Cell Oncol (Dordr) Date: 2012-06-19 Impact factor: 6.730
Authors: Miju Kim; Seav Huong Ly; Yingtian Xie; Gina N Duronio; Dane Ford-Roshon; Justin H Hwang; Rita Sulahian; Jonathan P Rennhack; Jonathan So; Ole Gjoerup; Jessica A Talamas; Maximilien Grandclaudon; Henry W Long; John G Doench; Nilay S Sethi; Marios Giannakis; William C Hahn Journal: Dev Cell Date: 2022-01-05 Impact factor: 12.270