top of page
Resource Libraries


Proteomics: Molecular Subtypes Guide CTCL Drug Response
Advanced mycosis fungoides and Sezary syndrome get treated from a rotating menu of retinoids, interferon, methotrexate, chemotherapy and newer targeted agents, and no molecular test says who belongs on which arm. Tissue proteomics offers one way in. A group at Peking Union Medical College Hospital profiled 33 lesional biopsies from 31 patients with advanced cutaneous T-cell lymphoma (CTCL), pairing DIA mass spectrometry on laser-microdissected tumor regions with RNA-seq on a
Seungjun Yeo


Multi-Omics: Immunometabolic Signature in Endometriosis
Confirming endometriosis still usually means laparoscopy, and most patients wait years to get it. A multi-omics study in Frontiers in Endocrinology (August 2026) asked how much of that signal survives in a plain blood draw. Wenwei Pan and colleagues profiled serum from 88 women (44 with endometriosis, 22 with benign ovarian cysts, 22 healthy controls), pairing the Olink Target 96 Inflammation panel with untargeted metabolomics on a UHPLC-Q Exactive Orbitrap. The metabolites c
Seungjun Yeo


Proteomics: SLC27A2 Predicts Pyrotinib Response in HER2+ BC
Pyrotinib clears HER2-positive breast tumours in a good share of patients, and nothing in the pre-treatment workup says which share a given patient falls into. A group at the Fourth Hospital of Hebei Medical University went after that gap with tumour proteomics, profiling pre-therapy biopsies from six women who later reached a pathological complete response (pCR) and six who did not. The 617 proteins separating those groups were pushed through co-expression networks, 127 mach
Seungjun Yeo


Lipidomics: LPC Signature Predicts Asparaginase Toxicity
Asparaginase cures leukemia, and it sometimes inflames the pancreas on the way. Between 5% and 20% of children treated for acute lymphoblastic leukemia (ALL) develop asparaginase-associated pancreatitis, and no validated test says in advance who is at risk. A JCI Insight study ran lipidomics and proteomics on banked blood from 161 pediatric ALL patients in two Dana-Farber trial cohorts, sampled before any asparaginase dose and again at the end of induction. What separated the
Seungjun Yeo


Untargeted Metabolomics: Plasma Panel Flags Adrenal Cancer
Telling an adrenocortical carcinoma from a benign adenoma before surgery is still guesswork more often than clinicians would like; imaging cutoffs and hormone panels leave many adrenal masses indeterminate. Plasma untargeted metabolomics offers another kind of evidence. Writing in Frontiers in Pharmacology, Yang and colleagues profiled 153 samples and built a six-metabolite model that flagged carcinoma at an AUC of 0.9266. Key Takeaways A six-metabolite plasma panel separated
Seungjun Yeo
bottom of page
