Early Postoperative Remodeling of the Exhaled Volatilome Following Curative Surgery for Colorectal Cancer

Background: Exhaled volatile organic compounds (VOCs) may provide a non-invasive readout of biological changes in colorectal cancer (CRC). We characterized early postoperative changes in the exhaled volatilome after curative CRC surgery and explored a multivariable VOC signature associated with clinical state. Methods: In this prospective paired pilot study, breath samples were obtained from 38 patients before surgery (Before) and on postoperative day 10 (After) and from 44 healthy controls (Control). Proton transfer reaction time-of-flight mass spectrometry (PTR-TOF-MS) identified 61 informative volatile organic compound (VOC) features. Elastic Net-based stability selection with 1000 patient-grouped resampling iterations yielded a 16-feature panel. Pairwise univariate comparisons were performed with Benjamini–Hochberg false discovery rate (FDR) correction. Results: Five selected VOC features differed significantly between paired preoperative and postoperative samples. Two features (mass-to-charge ratio [m/z] 77.0576 and 103.074) no longer differed significantly from healthy controls postoperatively, whereas three (m/z 63.0157, 95.0534, and 101.05) remained significantly different. The highest discriminative performance was observed for After vs. Control (median ROC AUC = 0.811 [95% PR, 0.691–0.912]), followed by Before vs. Control (0.762 [0.629–0.869]) and Before vs. After (0.716 [0.567–0.823]). Conclusions: Measurable changes in the exhaled volatilome were observed on postoperative day 10 following curative colorectal cancer surgery, with heterogeneous patterns across individual VOC features and persistent differences from healthy controls. These findings should be interpreted as early postoperative volatilome remodeling rather than as evidence of tumor-specific metabolic normalization because the observed changes may reflect the combined influence of surgical trauma, postoperative recovery, and other biological and perioperative processes. The identified 16-feature multivariable VOC signature should therefore be regarded as exploratory and requires independent external validation. Further studies incorporating larger multicenter cohorts, serial sampling beyond the early postoperative period, appropriate non-oncological surgical control groups, and orthogonal chemical identification are required to determine the potential clinical relevance of longitudinal VOC patterns.

Authors

Institutions

Publication Details

Journal
Journal of Clinical Medicine
Published
2026-09-09
DOI
https://doi.org/10.3390/jcm15186983
Primary Topic
Advanced Chemical Sensor Technologies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Early Postoperative Remodeling of the Exhaled Volatilome Following Curative Surgery for Colorectal Cancer

Z. Z.A. Fashafsha, Максим Волгин, Aleksandr Suvorov, E. S. Tyukanova et al.
Journal of Clinical Medicine
Advanced Chemical Sensor Technologies
article

Early Postoperative Remodeling of the Exhaled Volatilome Following Curative Surgery for Colorectal Cancer

Z. Z.A. Fashafsha, Максим Волгин, Aleksandr Suvorov, E. S. Tyukanova, A.S. Fatyanova, Philipp Kopylov, Akmalbek Otabekov, Artemiy Silantyev, Sergey Efetov, Marina Sekacheva, Valeriy Ponomarev, Bogdan Tkachenko, Yaroslav Krasnov, Albina Zubayraeva, Denis Khlusov
article en

Abstract

Background: Exhaled volatile organic compounds (VOCs) may provide a non-invasive readout of biological changes in colorectal cancer (CRC). We characterized early postoperative changes in the exhaled volatilome after curative CRC surgery and explored a multivariable VOC signature associated with clinical state. Methods: In this prospective paired pilot study, breath samples were obtained from 38 patients before surgery (Before) and on postoperative day 10 (After) and from 44 healthy controls (Control). Proton transfer reaction time-of-flight mass spectrometry (PTR-TOF-MS) identified 61 informative volatile organic compound (VOC) features. Elastic Net-based stability selection with 1000 patient-grouped resampling iterations yielded a 16-feature panel. Pairwise univariate comparisons were performed with Benjamini–Hochberg false discovery rate (FDR) correction. Results: Five selected VOC features differed significantly between paired preoperative and postoperative samples. Two features (mass-to-charge ratio [m/z] 77.0576 and 103.074) no longer differed significantly from healthy controls postoperatively, whereas three (m/z 63.0157, 95.0534, and 101.05) remained significantly different. The highest discriminative performance was observed for After vs. Control (median ROC AUC = 0.811 [95% PR, 0.691–0.912]), followed by Before vs. Control (0.762 [0.629–0.869]) and Before vs. After (0.716 [0.567–0.823]). Conclusions: Measurable changes in the exhaled volatilome were observed on postoperative day 10 following curative colorectal cancer surgery, with heterogeneous patterns across individual VOC features and persistent differences from healthy controls. These findings should be interpreted as early postoperative volatilome remodeling rather than as evidence of tumor-specific metabolic normalization because the observed changes may reflect the combined influence of surgical trauma, postoperative recovery, and other biological and perioperative processes. The identified 16-feature multivariable VOC signature should therefore be regarded as exploratory and requires independent external validation. Further studies incorporating larger multicenter cohorts, serial sampling beyond the early postoperative period, appropriate non-oncological surgical control groups, and orthogonal chemical identification are required to determine the potential clinical relevance of longitudinal VOC patterns.

Journal of Clinical MedicineVol. 15(18)
Sechenov University (RU), Ministry of Health (ES), P.A. Hertzen Moscow Oncology Research Institute (RU)
Reduced inequalities
Openalex Percentile: Top 20%
Advanced Chemical Sensor Technologies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.