Assessing Breast Cancer through Tumor Microenvironment Mapping of Collagen and Other Biomolecule Spectral Fingerprints─A Review.
Diya Pratish ChohanShimul BiswasMrunmayee WankhedePoornima MenonAmeera KShaik BashaJackson RodriguesDarshan Chikkanayakanahalli MukundaKrishna Kishore MahatoPublished in: ACS sensors (2024)
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.
Keyphrases
- papillary thyroid
- high resolution
- childhood cancer
- squamous cell
- breast cancer risk
- minimally invasive
- wound healing
- palliative care
- magnetic resonance imaging
- tissue engineering
- polycystic ovary syndrome
- optical coherence tomography
- coronary artery bypass
- type diabetes
- single molecule
- gene expression
- stem cells
- young adults
- lymph node metastasis
- squamous cell carcinoma
- genome wide
- current status
- coronary artery disease
- machine learning
- dna methylation
- magnetic resonance
- mass spectrometry
- big data
- skeletal muscle
- solid state
- photodynamic therapy
- deep learning
- atrial fibrillation
- artificial intelligence