Personalized risk stratification in colorectal cancer via PIANOS system

Current prognostic biomarkers for colorectal cancer (CRC) lack stability and generalizability across different cohorts and platforms, challenging precise patient stratification. Here, we introduce a Platform Independent and Normalization Free Single-sample Classifier (PIANOS), designed to refine treatment decisions by accurately categorizing patients with CRC into distinct risk groups. Developed using gene expression data from 562 patients and employing a rank-based k-Top Scoring Pairs (k-TSP) algorithm alongside resampling, PIANOS was rigorously validated in 15 cohorts comprising 3666 patients with CRC. It effectively differentiates high-risk from low-risk patients, outperforms 105 existing models, and demonstrates robust performance across technologies like microarrays and RNA sequencing. PIANOS-based stratification is validated as an independent predictor of disease-free survival. Moreover, PIANOS discriminates treatment responses across risk categories, with high-risk patients showing increased sensitivity to bevacizumab and low-risk patients exhibiting enhanced responsiveness to chemotherapy and immunotherapy. This study reports significant advancements in supporting clinical decision-making for CRC and provides a reliable framework for optimizing patient treatment strategies.

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Publication Details

Journal
Nature Communications
Published
2025-07-16
DOI
https://doi.org/10.1038/s41467-025-61713-1
Citations
2
Primary Topic
Genetic factors in colorectal cancer
Type
article
Field-Weighted Citation Impact
2.94

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article

Personalized risk stratification in colorectal cancer via PIANOS system

Qiuxia Yang, Chenghang Li, Huayu Li, Haoning Qi et al.
2 citations
Nature Communications
Genetic factors in colorectal cancer
2.94
article

Personalized risk stratification in colorectal cancer via PIANOS system

Qiuxia Yang, Chenghang Li, Huayu Li, Haoning Qi, Du Cai, Chuling Hu, Feng Gao, Baowen Gai, Xu Zhang, Yize Mao, Xiaojian Wu
article en
2 citations

Abstract

Current prognostic biomarkers for colorectal cancer (CRC) lack stability and generalizability across different cohorts and platforms, challenging precise patient stratification. Here, we introduce a Platform Independent and Normalization Free Single-sample Classifier (PIANOS), designed to refine treatment decisions by accurately categorizing patients with CRC into distinct risk groups. Developed using gene expression data from 562 patients and employing a rank-based k-Top Scoring Pairs (k-TSP) algorithm alongside resampling, PIANOS was rigorously validated in 15 cohorts comprising 3666 patients with CRC. It effectively differentiates high-risk from low-risk patients, outperforms 105 existing models, and demonstrates robust performance across technologies like microarrays and RNA sequencing. PIANOS-based stratification is validated as an independent predictor of disease-free survival. Moreover, PIANOS discriminates treatment responses across risk categories, with high-risk patients showing increased sensitivity to bevacizumab and low-risk patients exhibiting enhanced responsiveness to chemotherapy and immunotherapy. This study reports significant advancements in supporting clinical decision-making for CRC and provides a reliable framework for optimizing patient treatment strategies.

Nature CommunicationsVol. 16(1)
Sun Yat-sen University (CN), Hong Kong University of Science and Technology (HK), Sixth Affiliated Hospital of Sun Yat-sen University (CN), Chongqing Maternal and Child Health Hospital (CN), Sun Yat-sen University Cancer Center (CN), Children's Hospital of Chongqing Medical University (CN), Chongqing Medical University (CN), University of Hong Kong (HK)
National Natural Science Foundation of China, National Science and Technology Major Project, Basic and Applied Basic Research Foundation of Guangdong Province
Reduced inequalities
Openalex Percentile: Top 9%
Genetic factors in colorectal cancer
2.94
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