Resting natural killer cells promote the progress of colon cancer liver metastasis by elevating tumor-derived sSCF

  1. Department of General Surgery, The Second Affiliated Hospital and Yuying Children’s Hospital of Wenzhou Medical University, Wenzhou, China
  2. Department of Microbiology and Immunology, Institute of Molecular Virology and Immunology, School of Basic Medical Sciences, Wenzhou Medical University, Wenzhou, China
  3. Department of Pediatric Thoracic Surgery, The Second Affiliated Hospital and Yuying Children’s Hospital of Wenzhou Medical University, Wenzhou, China
  4. Department of Thoracic Surgery, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
  5. Department of General Surgery, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China

Peer review process

Not revised: This Reviewed Preprint includes the authors’ original preprint (without revision), an eLife assessment, and public reviews.

Read more about eLife’s peer review process.

Editors

  • Reviewing Editor
    Florent Ginhoux
    Singapore Immunology Network, Singapore, Singapore
  • Senior Editor
    Paivi Ojala
    University of Helsinki, Helsinki, Finland

Reviewer #1 (Public Review):

Summary:

Mao and colleagues re-analysed published spatial, bulk and single-cell transcriptomic datasets from primary colorectal cancers and colorectal-cancer-derived liver metastases. The analyses of paired cancer and non-cancer tissue samples showed that T cells are enriched in tumour tissue, accompanied by a reduction in the fraction of NK cells in the cancer tissue transcriptional datasets. Furthermore, authors claim that tumour tissue has a higher fraction of GZMK+ (resting) NK cells and suggest a correlation between the presence of these cells and poorer prognosis for cancer patients. In contrast, the increased frequency of KIR2DL4+ (activated) NK cells correlates with improved survival of cancer patients.

Strengths:

The authors performed a comprehensive analysis of published datasets, integrating spatial and single-cell transcriptomic data, which allowed them to discover the enrichment of GZMK+ NK cells in cancer tissues.

Weaknesses:

Despite their thorough analysis, the authors did not provide sufficient experimental evidence to support their claim that GZMK+ NK cells contribute to a worse prognosis for cancer patients or promote cancer progression. The terms resting and activated NK cells are used without properly defining the characteristics of these populations other than the gene expression of a handful of genes. Furthermore, the criteria used to quantify the NK cell population in spatial data is not entirely clear. While one can visually observe an increased fraction of GZMK+ NK cells compared to KIR2DL4+ NK cells in cancer tissues, no quantification is shown. They did not present any preclinical (animal model) or clinical data suggesting a causal relationship between NK cells and tumour growth. Thus, while a correlation may exist between the presence of GZMK+ NK cells and poorer tumour prognosis, causation cannot be claimed based on the available evidence. Furthermore, the in vitro data provided is limited to a single NK cell line derived from a lymphoma patient, which does not fully represent the diversity and functionality of human NK cells. Moreover, the in vitro experiments suffer from a lack of required controls and inadequate methodology.

Reviewer #2 (Public Review):

Summary:

This manuscript investigates the role of the abundant NK cells that are observed in colon cancer liver metastasis using sequencing and spatial approaches in an effort to clarify the pro and anti-tumourigenic properties of NK cells. This descriptive study characterises different categories of NK cells in tumour and tumour-adjacent tissues and some correlations. An attempt has been made using pseudotime trajectory analysis but no models around how these NK cells might be regulated are provided.

Strengths:

This study integrates multiomics data to attempt to resolve correlates of protection that might be useful in understanding NK cell diversity and activation.

Weaknesses:

While this work is interesting, the power of such studies is in taking the discovered information and applying this to other cohorts to determine the strength and predictive power of the genes identified. It is also clear that these 'snapshots' analysed poorly take account of the dynamic temporal changes that occur within a tumour. It would have been good to see a proposed model of NK cell regulation as it might occur in the tumour (accounting for turnover and recruitment) beyond the static data.

  1. Howard Hughes Medical Institute
  2. Wellcome Trust
  3. Max-Planck-Gesellschaft
  4. Knut and Alice Wallenberg Foundation