A prognostic six‐gene expression risk‐score derived from proteomic profiling of the metastatic colorectal cancer secretome

Abstract The necessity to accurately predict recurrence and clinical outcome in early stage colorectal cancer (CRC) is critical to identify those patients who may benefit from adjuvant chemotherapy. Here, we developed and validated a gene‐based risk‐score algorithm for patient stratification and per...

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Main Authors: Javier Robles (Author), Laura Pintado‐Berninches (Author), Issam Boukich (Author), Beatriz Escudero (Author), Vivian de losRios (Author), Rubén A Bartolomé (Author), Marta Jaén (Author), Ángela Martín‐Regalado (Author), María Jesús Fernandez‐Aceñero (Author), Juan Ignacio Imbaud (Author), José Ignacio Casal (Author)
Format: Book
Published: Wiley, 2022-11-01T00:00:00Z.
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042 |a dc 
100 1 0 |a Javier Robles  |e author 
700 1 0 |a Laura Pintado‐Berninches  |e author 
700 1 0 |a Issam Boukich  |e author 
700 1 0 |a Beatriz Escudero  |e author 
700 1 0 |a Vivian de losRios  |e author 
700 1 0 |a Rubén A Bartolomé  |e author 
700 1 0 |a Marta Jaén  |e author 
700 1 0 |a Ángela Martín‐Regalado  |e author 
700 1 0 |a María Jesús Fernandez‐Aceñero  |e author 
700 1 0 |a Juan Ignacio Imbaud  |e author 
700 1 0 |a José Ignacio Casal  |e author 
245 0 0 |a A prognostic six‐gene expression risk‐score derived from proteomic profiling of the metastatic colorectal cancer secretome 
260 |b Wiley,   |c 2022-11-01T00:00:00Z. 
500 |a 2056-4538 
500 |a 10.1002/cjp2.294 
520 |a Abstract The necessity to accurately predict recurrence and clinical outcome in early stage colorectal cancer (CRC) is critical to identify those patients who may benefit from adjuvant chemotherapy. Here, we developed and validated a gene‐based risk‐score algorithm for patient stratification and personalised treatment in early stage disease based on alterations in the secretion of metastasis‐related proteins. A quantitative label‐free proteomic analysis of the secretome of highly and poorly metastatic CRC cell lines with different genetic backgrounds revealed 153 differentially secreted proteins (fold‐change >5). These changes in the secretome were validated at the transcriptomic level. Starting from 119 up‐regulated proteins, a six‐gene/protein‐based prognostic signature composed of IGFBP3, CD109, LTBP1, PSAP, BMP1, and NPC2 was identified after sequential discovery, training, and validation in four different cohorts. This signature was used to develop a risk‐score algorithm, named SEC6, for patient stratification. SEC6 risk‐score components showed higher expression in the poor prognosis CRC subtypes: consensus molecular subtype 4 (CMS4), CRIS‐B, and stem‐like. High expression of the signature was also associated with patients showing dMMR, CIMP+ status, and BRAF mutations. In addition, the SEC6 signature was associated with lower overall survival, progression‐free interval, and disease‐specific survival in stage II and III patients. SEC6‐based risk stratification indicated that 5‐FU treatment was beneficial for low‐risk patients, whereas only aggressive treatments (FOLFOX and FOLFIRI) provided benefits to high‐risk patients in stages II and III. In summary, this novel risk‐score demonstrates the value of the secretome compartment as a reliable source for the retrieval of biomarkers with high prognostic and chemotherapy‐predictive capacity, providing a potential new tool for tailoring decision‐making in patient care. 
546 |a EN 
690 |a colorectal cancer metastasis 
690 |a secreted proteins 
690 |a risk‐score 
690 |a prognostic signature 
690 |a patient stratification 
690 |a Pathology 
690 |a RB1-214 
655 7 |a article  |2 local 
786 0 |n The Journal of Pathology: Clinical Research, Vol 8, Iss 6, Pp 495-508 (2022) 
787 0 |n https://doi.org/10.1002/cjp2.294 
787 0 |n https://doaj.org/toc/2056-4538 
856 4 1 |u https://doaj.org/article/b7b96c02512a43f4b84ef71ae7a7c2d1  |z Connect to this object online.