Label-free diagnosis of breast cancer based on serum protein purification assisted surface-enhanced Raman spectroscopy

Lin, Yamin; Gao, Jian; Tang, Shuzhen; Zhao, Xin; Zheng, Mengmeng; Gong, Wei; Xie, Shusen; Gao, Siqi; Yu, Yun; Lin, Juqiang

doi:10.1016/j.saa.2021.120234

Cited by 35 publications

(14 citation statements)

References 30 publications

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“…Matthew’s correlation coefficient of 1 indicated high accuracy in the prediction results. The sensitivity obtained for the 3D brain cancer profiler for label-free detection of brain cancer is higher compared to other label-free noble metal-based nanosensors previously reported. − …”

Section: Resultsmentioning

confidence: 79%

DEEP Surveillance of Brain Cancer Using Self-Functionalized 3D Nanoprobes for Noninvasive Liquid Biopsy

et al. 2022

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Brain cancers, one of the most fatal malignancies, require accurate diagnosis for guided therapeutic intervention. However, conventional methods for brain cancer prognosis (imaging and tissue biopsy) face challenges due to the complex nature and inaccessible anatomy of the brain. Therefore, deep analysis of brain cancer is necessary to (i) detect the presence of a malignant tumor, (ii) identify primary or secondary origin, and (iii) find where the tumor is housed. In order to provide a diagnostic technique with such exhaustive information here, we attempted a liquid biopsy-based deep surveillance of brain cancer using a very minimal amount of blood serum (5 μL) in real time. We hypothesize that holistic analysis of serum can act as a reliable source for deep brain cancer surveillance. To identify minute amounts of tumor-derived material in circulation, we synthesized an ultrasensitive 3D nanosensor, adopted SERS as a diagnostic methodology, and undertook a DEEP neural network-based brain cancer surveillance. Detection of primary and secondary tumor achieved 100% accuracy. Prediction of intracranial tumor location achieved 96% accuracy. This modality of using patient sera for deep surveillance is a promising noninvasive liquid biopsy tool with the potential to complement current brain cancer diagnostic methodologies.

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Section: Resultsmentioning

confidence: 79%

DEEP Surveillance of Brain Cancer Using Self-Functionalized 3D Nanoprobes for Noninvasive Liquid Biopsy

et al. 2022

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“…There has also been a growing interest in AgNP-based SERS screening of breast ,− and cervical cancer , because they are the most diagnosed cancers and leading causes of cancer-related death in women with over 2 million cases and 600 000 deaths per year . New possibilities for the discrimination of breast cancer at various stages opened up by analyzing and differentiating the stages of breast cancer using serum samples of cancer patients ( n = 7 for stage-2; n = 5 for stage-3; n = 5 for stage-4) versus healthy individuals ( n = 12).…”

Section: Bloodmentioning

confidence: 99%

“…94 Blood serum has been extensively used in SERS liquid biopsy as a metabolic fingerprint for the detection of chemical species that can reveal the presence of cancer. For example, PSA levels were used for the detection of prostate cancer, 68,69 serum albumin levels 73 and proteins 72 provided an indication of breast cancer, and serum RNA indicated colon cancer. 87 The majority of the SERS substrates used for blood serum analysis make use of SERS colloidal substrates, which are simple to use.…”

Section: ■ Spectral Data Analysismentioning

confidence: 99%

Label-Free Sensing with Metal Nanostructure-Based Surface-Enhanced Raman Spectroscopy for Cancer Diagnosis

Constantinou

Hadjigeorgiou

Abalde‐Cela

et al. 2022

ACS Appl. Nano Mater.

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Surface-Enhanced Raman Spectroscopy (SERS) is a powerful analytical technique for the detection of small analytes with great potential for medical diagnostic applications. Its high sensitivity and excellent molecular specificity, which stems from the unique fingerprint of molecular species, have been applied toward the detection of different types of cancer. The noninvasive and rapid detection offered by SERS highlights its applicability for point-of-care (PoC) deployment for cancer diagnosis, screening, and staging, as well as for predicting tumor recurrence and treatment monitoring. This review provides an overview of the progress in label-free (direct) SERS-based chemical detection for cancer diagnosis with the main focus on the advances in the design and preparation of SERS substrates on the basis of metal nanoparticle structures formed via bottom-up strategies. It begins by introducing a synopsis of the working principles of SERS, including key chemometric approaches for spectroscopic data analysis. Then it introduces the advances of label-free sensing with SERS in cancer diagnosis using biofluids (blood, urine, saliva, sweat) and breath as the detection media. In the end, an outlook of the advances and challenges in cancer diagnosis via SERS is provided.

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“…Abnormal metabolism during the development cancer may have contributed to the change, which are in good agreement with blood analysis results of breast cancer pre-surgery serum, breast cancer serum protein, and colorectal cancer serum. [22,28,30,31] In addition, the breast cancer serum shows strong intensities for SERS spectral peaks at 638 (L-tyrosine), 809 (L-serine), 1132 (D-mannose), and 1201 cm À1 (tryptophan), which can be used as serum biomarkers associated with abnormal metabolism of sugar, protein, and lipid in the cancer serum. [32] Therefore, these results illustrated significant changes in the percentage of biomolecules in breast cancer serum relative to normal serum, further suggesting the potential of serum SERS detection as a promising method for breast cancer screening.…”

Section: Sers Spectra Analysismentioning

confidence: 99%

A comparative study based on serum SERS spectra in and on the coffee ring for high precision breast cancer detection

Lin

Jia

Lin

et al. 2022

J Raman Spectroscopy

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Human blood contains a variety of biomolecules that are highly related to the occurrence, progression, and prognosis of diseases, including cancer. The development of rapid and accurate methods for the detection of these biomarkers with extremely low concentration is vital for improving cancer screening. Herein, a label‐free surface‐enhanced Raman scattering (SERS) technology was employed to detect human serum samples from healthy volunteers (n = 51) and breast cancer patients (n = 58) with the aim of exploring the differences in bio‐components between them. Moreover, the influence of measurement location during SERS assay was evaluated due to the occurrence of “coffee‐ring (CR)” effect associated with this work. Results showed that the SERS spectra obtained from the CR area can better reflect the overall biochemical information of serum samples and exhibited excellent diagnostic sensitivity (94.8%) and specificity (98%) for identifying breast cancer from healthy groups using principal component analysis and linear discriminant analysis (PCA‐LDA) algorithm. This work showed a preliminary study of the serum SERS method for breast cancer detection, providing a potential rapid and accurate liquid biopsy strategy for clinical cancer screening.

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Label-free diagnosis of breast cancer based on serum protein purification assisted surface-enhanced Raman spectroscopy

Cited by 35 publications

References 30 publications

DEEP Surveillance of Brain Cancer Using Self-Functionalized 3D Nanoprobes for Noninvasive Liquid Biopsy

DEEP Surveillance of Brain Cancer Using Self-Functionalized 3D Nanoprobes for Noninvasive Liquid Biopsy

Label-Free Sensing with Metal Nanostructure-Based Surface-Enhanced Raman Spectroscopy for Cancer Diagnosis

A comparative study based on serum SERS spectra in and on the coffee ring for high precision breast cancer detection

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