
Research Square (Research Square), Год журнала: 2024, Номер unknown
Опубликована: Ноя. 6, 2024
Язык: Английский
Research Square (Research Square), Год журнала: 2024, Номер unknown
Опубликована: Ноя. 6, 2024
Язык: Английский
Frontiers in Immunology, Год журнала: 2025, Номер 15
Опубликована: Янв. 9, 2025
Molecular characterization of tumors is essential to identify predictive biomarkers that inform treatment decisions and improve precision immunotherapy development administration. However, challenges such as the heterogeneity patient responses, limited efficacy current biomarkers, predominant reliance on single-omics data, have hindered advances in accurately predicting outcomes. Standard therapy generally applies a "one size fits all" approach, which not only provides ineffective or but also an increased risk off-target toxicities acceleration resistance mechanisms adverse effects. As emerging multi- spatial-omics platforms continues evolve, effective tumor assessment platform providing utility clinical setting should i) enable high-throughput robust screening variety biological matrices, ii) provide in-depth information resolved with single subcellular precision, iii) accessibility economical point-of-care settings. In this perspective, we explore application label-free Raman spectroscopy profiling tool for immunotherapy. We examine how spectroscopy's non-invasive, approach can deepen our understanding intricate inter- intra-cellular interactions within tumor-immune microenvironment. Furthermore, discuss analytical spectroscopy, highlighting its evolution be utilized "Raman-omics" approach. Lastly, highlight translational potential integration practice safe precise patient-centric
Язык: Английский
Процитировано
1Chemometrics and Intelligent Laboratory Systems, Год журнала: 2025, Номер unknown, С. 105375 - 105375
Опубликована: Март 1, 2025
Язык: Английский
Процитировано
1Cancers, Год журнала: 2023, Номер 16(1), С. 121 - 121
Опубликована: Дек. 26, 2023
In parallel with the increasing number of oncological cases, need for faster and more efficient diagnostic tools has also appeared. Different approaches are available, such as radiological imaging or histological staining methods, but these do not provide adequate information regarding resection margin, intraoperatively, time consuming. The purpose this review is to summarize current knowledge on spectrometric modalities suitable intraoperative use, an emphasis their relevance in management oral cancer. literature agrees sensitivity, specificity, accuracy modalities, further long-term prospective, multicentric clinical studies needed, which may standardize assessment margin use real-time spectroscopic approaches.
Язык: Английский
Процитировано
2Spectroscopy Letters, Год журнала: 2024, Номер 57(5), С. 271 - 283
Опубликована: Май 17, 2024
As a highly prevalent and recurrent cancer, detecting the degree of differentiation in oral cancer is crucial. Current methods rely on biopsies presence significant lesions, which are time-consuming. This study introduces an efficient rapid approach for mass determination levels. By leveraging serum Raman spectroscopy combined with deep neural networks extreme gradient boosting, we performed feature selection interaction samples varying levels, achieving most accurate reliable classification stages.
Язык: Английский
Процитировано
0Опубликована: Сен. 18, 2024
Язык: Английский
Процитировано
0Research Square (Research Square), Год журнала: 2024, Номер unknown
Опубликована: Ноя. 6, 2024
Язык: Английский
Процитировано
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