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Spectroscopic insig...
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Mishra, AbhayDepartment of Biophysics, All India Institute of Medical Sciences, 110029, New Delhi, India
(author)
Spectroscopic insight into breast cancer: profiling small extracellular vesicles lipids via infrared spectroscopy for diagnostic precision
- Article/chapterEnglish2024
Publisher, publication year, extent ...
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Springer Nature,2024
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electronicrdacarrier
Numbers
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LIBRIS-ID:oai:DiVA.org:ltu-105411
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https://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-105411URI
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https://doi.org/10.1038/s41598-024-59863-1DOI
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Language:English
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Summary in:English
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Subject category:ref swepub-contenttype
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Subject category:art swepub-publicationtype
Notes
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Validerad;2024;Nivå 2;2024-06-27 (joosat);Full text license: CC BY 4.0;Funder: Department of Biotechnology, India (DBT/2021-22/THSTI/1601);
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Breast cancer, a leading cause of female mortality due to delayed detection owing to asymptomatic nature and limited early diagnostic tools, was investigated using a multi-modal approach. Plasma-derived small EVs from breast cancer patients (BrCa, n = 74) and healthy controls (HC, n = 30) were analyzed. Small EVs (n = 104), isolated through chemical precipitation, underwent characterization via transmission electron microscopy (TEM) and nanoparticle tracking analysis (NTA). Validation involved antibody-based tests (TSG101, CD9, CD81, CD63). Infrared spectra of small EVs were obtained, revealing significant differences in lipid acyl chains, particularly in the C–H stretching of CH3. The study focused on the lipid region (3050–2900 cm−1), identifying peaks (3015 cm−1, 2960 cm−1, 2929 cm−1) as distinctive lipid characteristics. Spectroscopic lipid-to-lipid ratios [(I3015/I2929), (I2960/I2929)] emerged as prominent breast cancer markers. Exploration of protein, nucleic acid, and carbohydrate ratios indicated variations in alpha helices, asymmetric C–H stretching vibrations, and C–O stretching at 1033 cm−1. Principal component analysis (PCA) successfully differentiated BrCa and HC small EVs, and heatmap analysis and receiver operating characteristic (ROC) curve evaluations underscored the discriminatory power of lipid ratios. Notably, (I2960/I2929) exhibited 100% sensitivity and specificity, highlighting its potential as a robust BrCa sEV marker for breast cancer detection.
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Zehra, SadaqaDepartment of Biophysics, All India Institute of Medical Sciences, 110029, New Delhi, India
(author)
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Bharti, Prahalad KumarDepartment of Biophysics, All India Institute of Medical Sciences, 110029, New Delhi, India
(author)
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Mathur, Sandeep R.Department of Pathology, All India Institute of Medical Sciences, 110029, New Delhi, India
(author)
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Ranjan, PiyushDepartment of Surgical Disciplines, All India Institute of Medical Sciences, 110029, New Delhi, India
(author)
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Batra, AtulDepartment of Medical Oncology, All India Institute of Medical Sciences, 110029, New Delhi, India
(author)
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Inampudi, Krishna K.Department of Biophysics, All India Institute of Medical Sciences, 110029, New Delhi, India
(author)
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Modi, Gyan PrakashDepartment of Pharmaceutical Engineering & Technology, Indian Institute of Technology (BHU), 221005, Varanasi, Uttar Pradesh, India
(author)
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Nikolajeff, FredrikLuleå tekniska universitet,Omvårdnad och medicinsk teknik(Swepub:ltu)frenik
(author)
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Kumar, SarojLuleå tekniska universitet,Omvårdnad och medicinsk teknik,Department of Biophysics, All India Institute of Medical Sciences, 110029, New Delhi, India(Swepub:ltu)sarkum
(author)
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Department of Biophysics, All India Institute of Medical Sciences, 110029, New Delhi, IndiaDepartment of Pathology, All India Institute of Medical Sciences, 110029, New Delhi, India
(creator_code:org_t)
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In:Scientific Reports: Springer Nature142045-2322
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