Assessing Breast Cancer through Tumor Microenvironment Mapping of Collagen and Other Biomolecule Spectral Fingerprints─A Review,ACS Sensors

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Assessing Breast Cancer through Tumor Microenvironment Mapping of Collagen and Other Biomolecule Spectral Fingerprints─A Review
ACS Sensors ( IF 8.2 ) Pub Date : 2024-08-22 , DOI: 10.1021/acssensors.4c00585
Diya Pratish Chohan ₁ , Shimul Biswas ₂ , Mrunmayee Wankhede ₁ , Poornima Menon ₁ , Ameera K ₂ , Shaik Basha ₂ , Jackson Rodrigues ₂ , Darshan Chikkanayakanahalli Mukunda ₂ , Krishna Kishore Mahato ₂

Affiliation

Breast cancer is a major challenge in the field of oncology, with around 2.3 million cases and around 670,000 deaths globally based on the GLOBOCAN 2022 data. Despite having advanced technologies, breast cancer remains the major type of cancer among women. This review highlights various collagen signatures and the role of different collagen types in breast tumor development, progression, and metastasis, along with the use of photoacoustic spectroscopy to offer insights into future cancer diagnostic applications without the need for surgery or other invasive techniques. Through mapping of the tumor microenvironment and spotlighting key components and their absorption wavelengths, we emphasize the need for extensive preclinical and clinical investigations.

中文翻译：

通过胶原蛋白和其他生物分子光谱指纹图谱的肿瘤微环境图谱评估乳腺癌 - 综述

乳腺癌是肿瘤学领域的一项重大挑战，根据 GLOBOCAN 2022 的数据，全球约有 230 万例病例和约 670,000 例死亡。尽管拥有先进的技术，但乳腺癌仍然是女性的主要癌症类型。本综述重点介绍了各种胶原蛋白特征和不同胶原蛋白类型在乳腺肿瘤发展、进展和转移中的作用，以及光声光谱的使用，为未来的癌症诊断应用提供见解，而无需手术或其他侵入性技术。通过绘制肿瘤微环境图谱并聚焦关键成分及其吸收波长，我们强调了进行广泛临床前和临床研究的必要性。

更新日期：2024-08-22

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