Serum metabolic traits reveal therapeutic toxicities and responses of neoadjuvant chemoradiotherapy in patients with rectal cancer

Hongmiao Wang, Huixun Jia, Yang Gao, Haosong Zhang, Jin Fan, Lijie Zhang, Fandong Ren, Yandong Yin, Yuping Cai (), Ji Zhu () and Zheng-Jiang Zhu ()
Additional contact information
Hongmiao Wang: Chinese Academy of Sciences
Huixun Jia: Shanghai Jiao Tong University School of Medicine
Yang Gao: Chinese Academy of Sciences
Haosong Zhang: Chinese Academy of Sciences
Jin Fan: Fudan University Shanghai Cancer Center
Lijie Zhang: Fudan University Shanghai Cancer Center
Fandong Ren: Chinese Academy of Sciences
Yandong Yin: Chinese Academy of Sciences
Yuping Cai: Chinese Academy of Sciences
Ji Zhu: Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital)
Zheng-Jiang Zhu: Chinese Academy of Sciences

Nature Communications, 2022, vol. 13, issue 1, 1-14

Abstract: Abstract Neoadjuvant chemoradiotherapy (nCRT) has become the standard treatment for patients with locally advanced rectal cancer (LARC). Therapeutic efficacy of nCRT is significantly affected by treatment-induced diarrhea and hematologic toxicities. Metabolic alternations in cancer therapy are key determinants to therapeutic toxicities and responses, but exploration in large-scale clinical studies remains limited. Here, we analyze 743 serum samples from 165 LARC patients recruited in a phase III clinical study using untargeted metabolomics and identify responsive metabolic traits over the course of nCRT. Pre-therapeutic serum metabolites successfully predict the chances of diarrhea and hematologic toxicities during nCRT. Particularly, levels of acyl carnitines are linked to sex disparity in nCRT-induced diarrhea. Finally, we show that differences in phenylalanine metabolism and essential amino acid metabolism may underlie distinct therapeutic responses of nCRT. This study illustrates the metabolic dynamics over the course of nCRT and provides potential to guide personalized nCRT treatment using responsive metabolic traits.

Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.nature.com/articles/s41467-022-35511-y Abstract (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-35511-y

Ordering information: This journal article can be ordered from
https://www.nature.com/ncomms/

DOI: 10.1038/s41467-022-35511-y

Access Statistics for this article

Nature Communications is currently edited by Nathalie Le Bot, Enda Bergin and Fiona Gillespie

More articles in Nature Communications from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().