Evidence map›Paper›PMID 42871026›Full record

ArticleFrontiers in molecular biosciences2026

Circulating arginine-nitric oxide pathway metabolites and nitrated fatty acids in relation to pathological features of colorectal cancer.

Jakub Klekowski, Paulina Fortuna, Łukasz Lewandowski, Gabriela Maciejewska, Wioleta Szewczak, Karolina Mosna, Marek Zawadzki, Mariusz Chabowski, Mariusz Fleszar

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Article in Frontiers in molecular biosciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Jakub KlekowskiDepartment of Surgery, 4th Military Clinical Hospital, Wroclaw, Poland.
Paulina FortunaOmics Research Center, Wroclaw Medical University, Wroclaw, Poland.
Łukasz LewandowskiDepartment of Biochemistry and Immunochemistry, Wroclaw Medical University, Wroclaw, Poland.
Gabriela MaciejewskaOmics Research Center, Wroclaw Medical University, Wroclaw, Poland.
Wioleta SzewczakOmics Research Center, Wroclaw Medical University, Wroclaw, Poland.
Karolina MosnaOmics Research Center, Wroclaw Medical University, Wroclaw, Poland.
Marek ZawadzkiDepartment of Clinical Surgical Sciences, Faculty of Medicine, Wroclaw University of Science and Technology, Wroclaw, Poland.
Mariusz ChabowskiDepartment of Surgery, 4th Military Clinical Hospital, Wroclaw, Poland.
Mariusz FleszarOmics Research Center, Wroclaw Medical University, Wroclaw, Poland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Colorectal cancer (CRC) is associated with metabolic and inflammatory disturbances, including alterations in the arginine-nitric oxide (NO) pathway. This study assessed serum metabolites related to the arginine-NO-nitrated fatty acid (NO₂-FA) axis in patients with CRC and examined their associations with tumor stage and pathological features. Methods: A total of 122 patients undergoing colorectal resection for CRC were prospectively enrolled, of whom 117 had complete measurements for the candidate-metabolite panel and were included in the analyses. Preoperative serum samples were analyzed using targeted LC-MS/MS. Associations between metabolite concentrations and tumor stage were evaluated using complementary exploratory modelling approaches, including ordinal regression for TNM stage, tumor extent (T), and nodal involvement (N), as well as binary logistic regression for advanced disease (TNM III-IV), angioinvasion, and neuroinvasion. Results: Among the analyzed metabolites, SDMA showed the most recurrent inverse association with pathological disease stage in the initial models. However, these associations attenuated after adjustment for age and sex and were further weakened after additional adjustment for serum creatinine, with all fully adjusted 95% confidence intervals (CIs) including unity. Thus, the observed SDMA pattern was not independent of renal function and should be regarded as hypothesis-generating rather than as a convincing stage-associated metabolic signal. In a complementary binary analysis of TNM stages III-IV versus I-II, an inverse association with SDMA persisted after adjustment only under the stepwise selection strategy. Lower agmatine concentrations were associated with higher T category under the elastic-net strategy. Under the stepwise strategy, higher ADMA concentrations were associated with lower odds of angioinvasion and neuroinvasion, whereas higher citrulline concentrations were associated with higher odds of neuroinvasion. These invasive-feature associations were not reproduced under the elastic-net strategy and should therefore be considered procedure-dependent exploratory findings. No clear association was detected between circulating nitrooleates and the analyzed pathological outcomes. Discussion: These exploratory findings identify preliminary stage-associated metabolic patterns within patients with CRC and require validation in independent cohorts.

Indexed as

arginine metabolismcolorectal cancerfatty acidsmetabolomicsnitric oxide

Identifiers

PMID42871026
PMCPMC13657980

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