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Amino acids03:42

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A decreasing function describes a relationship where the output consistently declines as the input increases. This means that for any two input values, if one is greater than the other, the corresponding output is smaller. Mathematically, a function f is decreasing on an interval I if for every x1 < x2​ in I, f (x1) > f (x2). This type of behavior is visually identified on a graph that slopes downward from left to right.The nature of a function can be analyzed by calculating...
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The decrease of some serum free amino acids can predict breast cancer diagnosis and progression.

Dan Tudor Eniu1, Florina Romanciuc2,3, Corina Moraru3

  • 1a Department of Surgical Oncology , Iuliu Hatieganu University of Medicine and Pharmacy , Cluj-Napoca , Romania.

Scandinavian Journal of Clinical and Laboratory Investigation
|March 19, 2019
PubMed
Summary

This study identified specific amino acids in blood serum as potential biomarkers for early breast cancer detection. Decreased levels of arginine, alanine, isoleucine, tyrosine, and tryptophan correlate with breast cancer progression.

Keywords:
Breast canceramino acidbiomarkersmass spectrometrymetabolomics

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Area of Science:

  • Biochemistry
  • Oncology
  • Analytical Chemistry

Background:

  • Breast cancer remains a leading cause of mortality globally.
  • Early detection and accurate prediction of progression are crucial for effective treatment.
  • Metabolomic profiling offers a promising avenue for identifying novel biomarkers.

Purpose of the Study:

  • To compare blood serum free amino acid profiles in breast cancer patients (stages I-III) versus healthy controls.
  • To identify reliable biomarkers for early breast cancer detection and prediction of disease progression.
  • To establish the diagnostic and prognostic value of specific amino acids.

Main Methods:

  • Utilized ultra-high-performance liquid chromatography coupled with mass spectrometry (UHPLC-MS) for analyzing picoline-derivatized serum free amino acids.
  • Employed the EZ:faastTM kit for sample preparation.
  • Applied multivariate statistical analyses (Principal Component Analysis, Partial Least Squares Discrimination Analysis) and univariate analysis.

Main Results:

  • A significant decrease in amino acid concentrations was observed in breast cancer patients compared to healthy controls.
  • This decrease in amino acid levels correlated positively with breast cancer progression.
  • Arginine, Alanine, Isoleucine, Tyrosine, and Tryptophan were identified as potential discriminants with Area Under the Receiver Operating Characteristic Curve (AUROC) ≥0.85.

Conclusions:

  • Specific free amino acids in blood serum can serve as reliable biomarkers for breast cancer.
  • These identified amino acids demonstrate potential for early diagnosis and prediction of breast cancer progression.
  • Metabolomic analysis provides a valuable tool for advancing breast cancer diagnostics.