en Molecular Mechanisms Original/Research Article <div style="text-align: justify;"><span style="font-size:14px;"><span style="font-family:Times New Roman;"><span style="line-height:120%"><b><span style="line-height:120%"><span style="color:#231f20">Background: </span></span></b><span style="line-height:120%"><span style="color:#231f20">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.</span></span></span><br> <span style="line-height:120%"><b><span style="line-height:120%"><span style="color:#231f20">Methods: </span></span></b><span style="line-height:120%"><span style="color:#231f20">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).</span></span></span><br> <span style="line-height:120%"><b><span style="line-height:120%"><span style="color:#231f20">Results: </span></span></b><span style="line-height:120%"><span style="color:#231f20">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.</span></span></span><br> <span style="line-height:120%"><b><span style="line-height:120%"><span style="color:#231f20">Conclusion: </span></span></b><span style="line-height:120%"><span style="color:#231f20">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.</span></span><span style="line-height:120%"></span></span></span></span></div> 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 60 63 http://mcijournal.com/browse.php?a_code=A-10-721-2&slc_lang=en&sid=1 Shiva Moghadam 10031947532846004250 10031947532846004250 No Breast Diseases Group, Breast Cancer Research Center, Motamed Cancer Institute, ACECR, Tehran, Iran Marzieh Shakeri 10031947532846004251 10031947532846004251 No Department of Phytochemistry, Medicinal Plants and Drugs Research Institute, Shahid Beheshti University, Tehran, Iran Asiie Olfatbakhsh 10031947532846004252 10031947532846004252 No Breast Diseases Group, Breast Cancer Research Center, Motamed Cancer Institute, ACECR, Tehran, Iran Hamed Mirzaei 10031947532846004253 10031947532846004253 No Reproductive Biotechnology Research Center, Avicenna Research Institute, ACECR, Tehran, Iran Zahra Sheikhi 10031947532846004254 10031947532846004254 No Integrative Oncology Department, Breast Cancer Research Center, Motamed Cancer Institute, ACECR, Tehran, Iran Mahdieh Khosravi 10031947532846004255 10031947532846004255 No Reproductive Biotechnology Research Center, Avicenna Research Institute, ACECR, Tehran, Iran Hassan Rezadoost 10031947532846004256 10031947532846004256 No Department of Phytochemistry, Medicinal Plants and Drugs Research Institute, Shahid Beheshti University, Tehran, Iran Kambiz Gilany kambiz.gilany@gmail.com 10031947532846004257 10031947532846004257 Yes Integrative Oncology Department, Breast Cancer Research Center, Motamed Cancer Institute, ACECR, Tehran, Iran.