Volume 0 - Multidisciplinary Cancer Investigation
Multidiscip Cancer Investig 2025, 0 - Multidisciplinary Cancer Investigation: 60-63 |
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Shiva Moghadam1 
, Marzieh Shakeri2 , Asiie Olfatbakhsh1 , Hamed Mirzaei3 , Zahra Sheikhi4 , Mahdieh Khosravi3 , Hassan Rezadoost2 , Kambiz Gilany *5 
, Marzieh Shakeri2 , Asiie Olfatbakhsh1 , Hamed Mirzaei3 , Zahra Sheikhi4 , Mahdieh Khosravi3 , Hassan Rezadoost2 , Kambiz Gilany *5
1- Breast Diseases Group, Breast Cancer Research Center, Motamed Cancer Institute, ACECR, Tehran, Iran
2- Department of Phytochemistry, Medicinal Plants and Drugs Research Institute, Shahid Beheshti University, Tehran, Iran
3- Reproductive Biotechnology Research Center, Avicenna Research Institute, ACECR, Tehran, Iran
4- Integrative Oncology Department, Breast Cancer Research Center, Motamed Cancer Institute, ACECR, Tehran, Iran
5- Integrative Oncology Department, Breast Cancer Research Center, Motamed Cancer Institute, ACECR, Tehran, Iran. ,kambiz.gilany@gmail.com
2- Department of Phytochemistry, Medicinal Plants and Drugs Research Institute, Shahid Beheshti University, Tehran, Iran
3- Reproductive Biotechnology Research Center, Avicenna Research Institute, ACECR, Tehran, Iran
4- Integrative Oncology Department, Breast Cancer Research Center, Motamed Cancer Institute, ACECR, Tehran, Iran
5- Integrative Oncology Department, Breast Cancer Research Center, Motamed Cancer Institute, ACECR, Tehran, Iran. ,
Abstract: (620 Views)
Background: Recent studies indicate that unusual metabolism of fatty acids is strongly associated with breast cancer (BC), offering promising evidence for finding potential BC biomarkers. This research aims to characterize serum free fatty acid (FFA) metabolic profiles and to explore possible diagnostic biomarkers for breast cancer.
Methods: In this pilot study, 12 samples were analyzed, three per breast cancer molecular subtype. Using gas chromatography with a flame ionization detector (GC-FID), we analyzed FFA fingerprint profiles across different molecular subtypes of BC. Based on existing literature, we focused on four key FFAs: linoleic acid (C18:2), stearic acid (C18:0), palmitic acid (C16:0), and oleic acid (C18:1c).
Results: Our results suggest that serum FFA fingerprinting has strong potential to distinguish between breast cancer molecular subtypes, supporting its promise as a non-invasive diagnostic approach.
Conclusion: In this study, we show for the first time that potential application of free fatty acids fingerprinting profile of serum from breast cancer molecular subtypes using GC-FID.
Methods: In this pilot study, 12 samples were analyzed, three per breast cancer molecular subtype. Using gas chromatography with a flame ionization detector (GC-FID), we analyzed FFA fingerprint profiles across different molecular subtypes of BC. Based on existing literature, we focused on four key FFAs: linoleic acid (C18:2), stearic acid (C18:0), palmitic acid (C16:0), and oleic acid (C18:1c).
Results: Our results suggest that serum FFA fingerprinting has strong potential to distinguish between breast cancer molecular subtypes, supporting its promise as a non-invasive diagnostic approach.
Conclusion: In this study, we show for the first time that potential application of free fatty acids fingerprinting profile of serum from breast cancer molecular subtypes using GC-FID.
Keywords: Breast cancer molecular subtypes, Free fatty acids (FFA), Serum metabolomics, Gas chromatography–flame ionization detection (GC-FID), Fatty acid fingerprinting, Non-metastatic breast cancer, Metabolic biomarkers, Targeted metabolomic profiling
Select article type: Original/Research Article |
Subject:
Molecular Mechanisms
Received: 2025/08/3 | Accepted: 2025/10/7 | ePublished: 2025/10/22
Received: 2025/08/3 | Accepted: 2025/10/7 | ePublished: 2025/10/22
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