Sex Differences in Colon Cancer Metabolism Reveal A Novel Subphenotype

Our paper revealed that women with colon cancer have a tumor subphenotype characterized by high asparagine and asparagine synthetase expression, that correlates with poorer survival.
Published in Cancer
Sex Differences in Colon Cancer Metabolism Reveal A Novel Subphenotype
Like

Share this post

Choose a social network to share with, or copy the URL to share elsewhere

This is a representation of how your post may appear on social media. The actual post will vary between social networks

The worldwide incidence of colorectal cancer (CRC) is higher in men than women. However, when we delved further into incidence by lesion location, we saw that surprisingly, women have a higher incidence of tumors that occur on the right side of the colon. This correlation between lesion location and sex of the patient was really interesting to us as side matters when it comes to CRC. Patients with right-sided colon cancer (RCC) (cecum, ascending colon and hepatic flexure) have a worse overall prognosis than those with tumors on the left side (splenic flexure, descending colon, sigmoid and rectosigmoid).

In a collaboration between Yale and Memorial Sloan Kettering Cancer Center (MSKCC), we identified a valuable cohort of primary tumors collected from various locations of the colon. As the mechanisms that underlie higher RCC incidence in women, and poorer outcomes for RCC are not known, we applied mass spectrometry-based untargeted metabolomics to uncover sex differences in CRC metabolism by lesion location to uncover new mechanistic insight into these potential tumor subtypes. A majority of large tumor tissue cohort studies are derived from formalin-fixed and paraffin embedded tissue which destroys reliable measurement of metabolites. Thus experiments performed on preserved tissues (flash frozen) was extremely valuable and a strength of our study.

We found that tumors from women with RCC have a nutrient-deplete metabolic phenotype, characterized by enhanced energy production through fatty acid metabolism. We also observed elevated glutamine and asparagine production, with an increase in serine and threonine uptake, as well as increased nucleotide levels. The clinical importance of this finding was further explored in an independent data set from The Cancer Genomic Atlas, which demonstrated that high asparagine synthetase expression correlated with poorer survival for women. Of note, both high asparagine and asparagine synthetase are hallmarks for more aggressive tumors. Our work has revealed a new target for RCC in women that can be further investigated in mechanistic studies, and provides a future avenue for therapeutic investigation. Further, it highlights the value of using untargeted metabolomics approaches to generate novel hypotheses regarding disease mechanisms.

Written by Yuping Cai, Nicholas J.W. Rattray, Sajid A. Khan and Caroline H. Johnson

Please sign in or register for FREE

If you are a registered user on Research Communities by Springer Nature, please sign in

Follow the Topic

Cancer Biology
Life Sciences > Biological Sciences > Cancer Biology

Related Collections

With collections, you can get published faster and increase your visibility.

Applications of Artificial Intelligence in Cancer

In this cross-journal collection between Nature Communications, npj Digital Medicine, npj Precision Oncology, Communications Medicine, Communications Biology, and Scientific Reports, we invite submissions with a focus on artificial intelligence in cancer.

Publishing Model: Open Access

Deadline: Jun 30, 2025

Artificial intelligence and medical imaging

This collection seeks original research on AI in medical imaging, covering algorithm development, model building, performance, pathology, clinical application, and public health. Includes MRI, CT, ultrasound, PET, and SPECT.

Publishing Model: Open Access

Deadline: May 01, 2025