Early-stage oral cancer diagnosis by artificial intelligence-based SERS using Ag NWs@ZIF core–shell nanochains

Xie, Xing; Yu, Wenrou; Chen, Zhaoxian; Wang, Luyao; Yang, Junjun; Liu, Shihong; Li, Linze; Li, Y.; Huang, Yingzhou

doi:10.1039/d3nr02662k

Cited by 15 publications

(7 citation statements)

References 38 publications

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“…The ANN imitates the communication patterns observed in the human brain’s biological neurons . An ANN algorithm classified oral cancer in exhaled breath with an accuracy of 99% and predicted oral cancer with an AUC of 0.994 . A 1D-CNN is a DL model designed for the analysis of 1D data .…”

Section: Artificial Intelligence-based Detectionmentioning

confidence: 99%

Recent Trends in Surface-Enhanced Raman Spectroscopy-Based Biosensors: Label-Free Early Disease Diagnosis

Jin,

Lednev,

Jung

2024

J. Phys. Chem. C

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The recent advances in surface-enhanced Raman spectroscopy (SERS) have developed label-free biosensors for early diagnosis of diseases. This review explores the recent trends of SERS-based biosensors, focusing on their potential applications for the rapid and accurate detection of diseases without labeling agents. The integration of SERS with biosensor platforms provides a powerful approach to enhance sensitivity and selectivity in the detection of biomolecules associated with diseases. The integration of artificial intelligence to optimize data analysis and improve diagnostic accuracy is discussed. This study provides valuable insight into the current landscape of SERS-based biosensors for label-free early diagnosis of diseases by summarizing key studies and innovations.

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Section: Artificial Intelligence-based Detectionmentioning

confidence: 99%

Recent Trends in Surface-Enhanced Raman Spectroscopy-Based Biosensors: Label-Free Early Disease Diagnosis

Jin,

Lednev,

Jung

2024

J. Phys. Chem. C

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“…These findings suggest the possibility of influencing the decision-making process in real time with the ultimate aim of improving oncological patient care. The integration of spectroscopic imaging methods with AI has the potential to revolutionize the field of oncological management, particularly in the context of oral cancer [ 130 , 131 , 132 , 133 , 134 ].…”

Section: Artificial Intelligence and Spectroscopy In The Intraoperati...mentioning

confidence: 99%

Intraoperative Assessment of Resection Margin in Oral Cancer: The Potential Role of Spectroscopy

Vlocskó,

Piffkó,

Janovszky

2023

Cancers

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In parallel with the increasing number of oncological cases, the need for faster and more efficient diagnostic tools has also appeared. Different diagnostic approaches are available, such as radiological imaging or histological staining methods, but these do not provide adequate information regarding the resection margin, intraoperatively, or are time consuming. The purpose of this review is to summarize the current knowledge on spectrometric diagnostic modalities suitable for intraoperative use, with an emphasis on their relevance in the management of oral cancer. The literature agrees on the sensitivity, specificity, and accuracy of spectrometric diagnostic modalities, but further long-term prospective, multicentric clinical studies are needed, which may standardize the intraoperative assessment of the resection margin and the use of real-time spectroscopic approaches.

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“…Among the identified cancer-associated VOCs are hydrocarbons, alcohols, aldehydes, ketones, and VSCs, such as H 2 S and methanethiol [ 11 , 12 , 13 , 70 , 71 , 72 ]. Indeed, artificial intelligence (AI)-based surface-enhanced Raman spectroscopy (SERS) has recently been demonstrated as a useful and accurate method for the early diagnosis of oral cancer through the detection of methanethiol in exhaled breath [ 14 ]. Elevated concentrations of methanethiol in cancer patients may derive from increased exogenous and endogenous synthesis and suppressed degradation.…”

Section: Conclusion and Outlook: Methanethiol As A Promising Biomarke...mentioning

confidence: 99%

“…In addition, H 2 S and methanethiol are produced endogenously through enzymatic and non-enzymatic synthesis [ 9 , 10 ]. The cancer-associated dysregulation of sulfur metabolism results in excess levels of both VSCs in tumor tissue as well as in body fluids, breath, and/or excretions of cancer patients that are increasingly being exploited for the establishment of convenient non-invasive screening methods to detect early signs of cancer [ 11 , 12 , 13 , 14 ]. In this regard, the dysregulated H 2 S biosynthesis in various types of cancer and the cancer-promoting effects of elevated H 2 S levels have recently been discussed in several reviews [ 10 , 15 , 16 ].…”

Section: Introductionmentioning

confidence: 99%

Methanethiol: A Scent Mark of Dysregulated Sulfur Metabolism in Cancer

Philipp,

Scheller,

Krafczyk

et al. 2023

Antioxidants

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In order to cope with increased demands for energy and metabolites as well as to enhance stress resilience, tumor cells develop various metabolic adaptations, representing a hallmark of cancer. In this regard, the dysregulation of sulfur metabolism that may result in elevated levels of volatile sulfur compounds (VSCs) in body fluids, breath, and/or excretions of cancer patients has recently gained attention. Besides hydrogen sulfide (H2S), methanethiol is the predominant cancer-associated VSC and has been proposed as a promising biomarker for non-invasive cancer diagnosis. Gut bacteria are the major exogenous source of exposure to this foul-smelling toxic gas, with methanethiol-producing strains such as Fusobacterium nucleatum highly abundant in the gut microbiome of colorectal carcinoma (CRC) patients. Physiologically, methanethiol becomes rapidly degraded through the methanethiol oxidase (MTO) activity of selenium-binding protein 1 (SELENBP1). However, SELENBP1, which is considered a tumor suppressor, is often downregulated in tumor tissues, and this has been epidemiologically linked to poor clinical outcomes. In addition to impaired removal, an increase in methanethiol levels may derive from non-enzymatic reactions, such as a Maillard reaction between glucose and methionine, two metabolites enriched in cancer cells. High methionine concentrations in cancer cells may also result in enzymatic methanethiol production in mitochondria. Moreover, enzymatic endogenous methanethiol production may occur through methyltransferase-like protein 7B (METTL7B), which is present at elevated levels in some cancers, including CRC and hepatocellular carcinoma (HCC). In conclusion, methanethiol contributes to the scent of cancer as part of the cancer-associated signature combination of volatile organic compounds (VOCs) that are increasingly being exploited for non-invasive early cancer diagnosis.

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Early-stage oral cancer diagnosis by artificial intelligence-based SERS using Ag NWs@ZIF core–shell nanochains

Abstract: Surface-enhanced Raman spectroscopy (SERS) has great potential in the early diagnosis of diseases by detecting the changes of volatile biomarkers in exhaled breath, because of its high sensitivity, rich chemical...

Cited by 15 publications

References 38 publications

Recent Trends in Surface-Enhanced Raman Spectroscopy-Based Biosensors: Label-Free Early Disease Diagnosis

Recent Trends in Surface-Enhanced Raman Spectroscopy-Based Biosensors: Label-Free Early Disease Diagnosis

Intraoperative Assessment of Resection Margin in Oral Cancer: The Potential Role of Spectroscopy

Methanethiol: A Scent Mark of Dysregulated Sulfur Metabolism in Cancer

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