Gene interaction perturbation network deciphers a high-resolution taxonomy in colorectal cancer

  1. Zaoqu Liu
  2. Siyuan Weng
  3. Qin Dang
  4. Hui Xu
  5. Yuqing Ren
  6. Chunguang Guo
  7. Zhe Xing
  8. Zhenqiang Sun  Is a corresponding author
  9. Xinwei Han  Is a corresponding author
  1. Department of Interventional Radiology, The First Affiliated Hospital of Zhengzhou University, China
  2. Interventional Institute of Zhengzhou University, China
  3. Interventional Treatment and Clinical Research Center of Henan Province, China
  4. Department of Colorectal Surgery, The First Affiliated Hospital of Zhengzhou University, China
  5. Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Zhengzhou University, China
  6. Department of Endovascular Surgery, The First Affiliated Hospital of Zhengzhou University, China
  7. Department of Neurosurgery, The Fifth Affiliated Hospital of Zhengzhou University, China

Decision letter

  1. Emil Lou
    Reviewing Editor; University of Minnesota, United States
  2. Wafik S El-Deiry
    Senior Editor; Brown University, United States
  3. Ruping Sun
    Reviewer; University of Minnesota, United States

Our editorial process produces two outputs: (i) public reviews designed to be posted alongside the preprint for the benefit of readers; (ii) feedback on the manuscript for the authors, including requests for revisions, shown below. We also include an acceptance summary that explains what the editors found interesting or important about the work.

Decision letter after peer review:

Thank you for submitting your article "Gene interaction perturbation network deciphers a high-resolution taxonomy in colorectal cancer" for consideration by eLife. Your article has been reviewed by 3 peer reviewers, and the evaluation has been overseen by a Reviewing Editor and Wafik El-Deiry as the Senior Editor. The following individual involved in review of your submission has agreed to reveal their identity: Ruping Sun (Reviewer #1).

The reviewers have discussed their reviews with one another, and the Reviewing Editor has drafted this to help you prepare a revised submission.

Essential revisions:

Overall the authors present a study evaluating colorectal cancer networks using unsupervised approach to assess gene interactions. The following reviews by experts in the field provide critical evaluation of the work as follows.

1) Address Major Concerns presented by all Reviewers in the Public Reviews, specifically from Reviewer 1.

2) All reviewers request clarifications or other added information to enhance clarify and accuracy of the manuscript. Please read these carefully and address as appropriate.

Reviewer #1 (Recommendations for the authors):

I found that much of the content of the first two paragraphs in the result section can be moved into methods. Authors can briefly mention the rationale and procedure of the method in the result section but should focus on the main findings of using such a method. In addition, the figure of the construction of the perturbation matrix (Figure S1) seems to be critical for readers to understand the method. I would suggest moving it into the main manuscript.

https://doi.org/10.7554/eLife.81114.sa1

Author response

Reviewer #1 (Recommendations for the authors):

I found that much of the content of the first two paragraphs in the result section can be moved into methods. Authors can briefly mention the rationale and procedure of the method in the result section but should focus on the main findings of using such a method. In addition, the figure of the construction of the perturbation matrix (Figure S1) seems to be critical for readers to understand the method. I would suggest moving it into the main manuscript.

Thanks for your thoughtful and constructive comments. After careful consideration, we totally agree with your opinion that the result section should focus on the main findings of using such a method. Thus, we've moved “Construction of the gene interaction-perturbation network” into the method parts (Red mark). In addition, as you suggested, we have moved the figure of the construction of the perturbation matrix to the main manuscript (Figure 1).

https://doi.org/10.7554/eLife.81114.sa2

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  1. Zaoqu Liu
  2. Siyuan Weng
  3. Qin Dang
  4. Hui Xu
  5. Yuqing Ren
  6. Chunguang Guo
  7. Zhe Xing
  8. Zhenqiang Sun
  9. Xinwei Han
(2022)
Gene interaction perturbation network deciphers a high-resolution taxonomy in colorectal cancer
eLife 11:e81114.
https://doi.org/10.7554/eLife.81114

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https://doi.org/10.7554/eLife.81114