We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

Features Partner Sites Information LinkXpress hp
Sign In
Advertise with Us
Vicotex

Download Mobile App




Novel Urinary Biomarkers May Indicate Adrenal Cancer

By LabMedica International staff writers
Posted on 19 Oct 2015
A global analysis of metabolites and small molecules in urine samples from patients with adrenal cancer has identified four biochemicals that, when measured together, can distinguish malignant from benign adrenal tumors.

This analysis may help surgeons more confidently decide how to treat patients who have signs of adrenal masses on radiologic imaging but no symptoms of adrenal disease. More...
Such patients are considered to have adrenal incidentalomas. Adrenal incidentalomas are the most common type of abnormality discovered on imaging studies that are performed for conditions unrelated to the adrenal gland.

Scientists at the US National Institutes of Health (NIH; Bethesda, MD, USA) obtained urine specimens from 19 patients with adrenal cortical carcinoma and 46 patients with benign adrenal tumors and ran a global analysis of all metabolites to detect differences in the two groups. A total of 67 biochemical features discriminated cancer from benign tumors in these samples, but only four specific metabolites could be considered as biomarkers for cancer: creatinine riboside, tryptophan, Nε, Nε, Nε-trimethyllysine, and 3-methylhistidine.

When these metabolites were present in characteristic patterns in urine samples, they were highly sensitive and specific for carcinoma. The metabolites could successfully identify cancer in 94.7% of cases and rule out the disease 82.6 % of the time. In comparison, adrenal lesions greater than 4 cm in diameter have a sensitivity of 93% and a specificity of only 42% for cancer. The study also found that the four metabolites had a high likelihood of predicting which patients had cancer and which did not. The positive predictive rate was 69.2, and the negative predictive rate was 97.4.

Dhaval Patel, MD, a staff clinician at the NIH, said, “Up until now, there have been no metabolomic markers to tell us whether an adrenal lesion is cancerous or not. Scientists have done metabolic studies in patients with adrenal cancer, but they have looked at larger molecules, and they have targeted their investigations at specific steroids or gene profiles. This is the first untargeted global look at all metabolites and molecules smaller than 800 Dalton. When surgeons see changes in these metabolites, they may be more likely to lean toward surgery for patients with adrenal incidentalomas because the likelihood of malignancy will be much higher.” The study was presented at the Annual Clinical Congress of the American College of Surgeons held October 4–6, 2015, in Chicago (IL, USA).

Related Links:

US National Institutes of Health



Platinum Member
Automated Coagulation Analyzer
Hemolumi H6
Gold Member
Nucleic Acid Extractor System
NEOS-96 XT
Immunofluorescence Analyzer
IFA System
Electrolyte Analyzer
BKE-B
Read the full article by registering today, it's FREE! It's Free!
Register now for FREE to LabMedica.com and get access to news and events that shape the world of Clinical Laboratory Medicine.
  • Free digital version edition of LabMedica International sent by email on regular basis
  • Free print version of LabMedica International magazine (available only outside USA and Canada).
  • Free and unlimited access to back issues of LabMedica International in digital format
  • Free LabMedica International Newsletter sent every week containing the latest news
  • Free breaking news sent via email
  • Free access to Events Calendar
  • Free access to LinkXpress new product services
  • REGISTRATION IS FREE AND EASY!
Click here to Register








Channels

Immunology

view channel
Image: Although many people harbor latent Epstein-Barr virus (EBV), growing evidence has linked the virus to MS pathobiology (Image Credit: Adobe Stock)

Blood EBV Activity Biomarkers May Predict Multiple Sclerosis Relapse Months Ahead

Predicting relapse in multiple sclerosis (MS) remains difficult, limiting opportunities for timely intervention and monitoring. Although many people harbor latent Epstein-Barr virus (EBV), growing evidence... Read more

Microbiology

view channel
Image: Graphical Abstract (Jose A. Céspedes, Maria I. Montañez, Isabel M. Jiménez, et al. Magnetic nanoparticles enable clinically relevant in vitro diagnosis of beta-lactam allergy. Materials Today Bio (2026). DOI: 10.1016/j.mtbio.2026.103356)

Magnetic Nanoparticles Enable More Sensitive Beta-Lactam Allergy Testing

Penicillin allergy labels are common in clinical practice, yet many are incorrect and can lead to suboptimal antibiotic choices. Although 8%–25% of people report a penicillin allergy, only 1%–10% are truly... Read more

Pathology

view channel
Image: A new study demonstrates that vascular features in colorectal tumors could serve as prognostic biomarkers of disease outcome. (Image Credit: iStock)

Tumor Blood Vessel Features May Help Predict Colorectal Cancer Survival

Colorectal cancer outcomes vary widely, and tumor biology remains a key determinant of prognosis. Because neoplasms depend on a vascular supply, differences in intratumoral vessels may influence survival.... Read more

Technology

view channel
Image: ADLM recommends that emerging AI tools follow the same professional oversight, quality, validation, and monitoring standards as traditional clinical testing within CLIA’s existing framework (Image Credit: Adobe Stock)

ADLM Calls for CLIA Updates to Support Safe AI Use in Laboratory Medicine

Clinical laboratories increasingly use artificial intelligence to verify, interpret, and report results, but safeguards under the Clinical Laboratory Improvement Amendments (CLIA) were designed in 1992.... Read more

Industry

view channel
Image Credit: Adobe Stock

Mayo Clinic and Thermo Fisher Launch Multi-Omics Venture to Identify Early Disease Signals

Many diseases begin developing years before symptoms emerge, making early detection difficult for healthcare systems and clinical laboratories. Linking molecular changes with longitudinal health data could... Read more
Copyright © 2000-2026 Globetech Media. All rights reserved.