Deep learning enhanced the diagnostic merit of serum glycome for multiple cancers

Zhang, Haobo; Liu, Si; Wang, Yi; Huang, Hanhui; Sun, Lukang; Yuan, Youyuan; Cheng, Liming; Liu, Xin; Ning, Kang

doi:10.1016/j.isci.2023.108715

Cited by 1 publication

(2 citation statements)

References 66 publications

(78 reference statements)

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“…One challenge lies in developing and standardizing methods to simultaneously isolate and analyze different types of biomarkers from a single blood sample. Additionally, interpreting the complex data generated from multi-marker analysis requires advanced bioinformatics tools and expertise [4,105].…”

Section: Challenges and Opportunitiesmentioning

confidence: 99%

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The Role of Circulating Tumor Cells as a Liquid Biopsy for Cancer: Advances, Biology, Technical Challenges, and Clinical Relevance

Allen

2024

Cancers

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Cancer remains a leading cause of mortality worldwide, with metastasis significantly contributing to its lethality. The metastatic spread of tumor cells, primarily through the bloodstream, underscores the importance of circulating tumor cells (CTCs) in oncological research. As a critical component of liquid biopsies, CTCs offer a non-invasive and dynamic window into tumor biology, providing invaluable insights into cancer dissemination, disease progression, and response to treatment. This review article delves into the recent advancements in CTC research, highlighting their emerging role as a biomarker in various cancer types. We explore the latest technologies and methods for CTC isolation and detection, alongside novel approaches to characterizing their biology through genomics, transcriptomics, proteomics, and epigenetic profiling. Additionally, we examine the clinical implementation of these findings, assessing how CTCs are transforming the landscape of cancer diagnosis, prognosis, and management. By offering a comprehensive overview of current developments and potential future directions, this review underscores the significance of CTCs in enhancing our understanding of cancer and in shaping personalized therapeutic strategies, particularly for patients with metastatic disease.

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Section: Challenges and Opportunitiesmentioning

confidence: 99%

“…This approach can lead to more accurate predictions of disease progression, treatment response, and patient outcomes. Machine-learning models can also adapt and improve over time, learning from new data to refine their predictive capabilities [105,[111][112][113].…”

Section: Ai and Machine Learning In Ctc Analysismentioning

confidence: 99%

The Role of Circulating Tumor Cells as a Liquid Biopsy for Cancer: Advances, Biology, Technical Challenges, and Clinical Relevance

Allen

2024

Cancers

View full text Add to dashboard Cite

show abstract

Deep learning enhanced the diagnostic merit of serum glycome for multiple cancers

Cited by 1 publication

References 66 publications

The Role of Circulating Tumor Cells as a Liquid Biopsy for Cancer: Advances, Biology, Technical Challenges, and Clinical Relevance

The Role of Circulating Tumor Cells as a Liquid Biopsy for Cancer: Advances, Biology, Technical Challenges, and Clinical Relevance

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