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Review
Peer-Review Record

Dendritic Cell Immunotherapy for Solid Tumors: Advances in Translational Research and Clinical Application

Curr. Issues Mol. Biol. 2025, 47(10), 806; https://doi.org/10.3390/cimb47100806
by Mi Eun Kim and Jun Sik Lee *
Reviewer 2: Anonymous
Curr. Issues Mol. Biol. 2025, 47(10), 806; https://doi.org/10.3390/cimb47100806
Submission received: 29 August 2025 / Revised: 27 September 2025 / Accepted: 27 September 2025 / Published: 1 October 2025
(This article belongs to the Special Issue Future Challenges of Targeted Therapy of Cancers: 2nd Edition)

Round 1

Reviewer 1 Report

Comments and Suggestions for Authors

In the manuscript entitled “Dendritic Cell Immunotherapy for Solid Tumors: Advances in Translational Research and Clinical Application”, the authors discussed the translational relevance of dendritic cell-based immunotherapy strategies in solid tumors. Below are the comments to improve the manuscript.

 

  1. The authors should use more flow charts, graphical representations and diagrams to depict different issues or challenges facing DC-based anti-cancer vaccines and their corresponding potential solutions/strategies.
  2. The authors should also discuss relevant proteogenomic, trained immunity, spatial transcriptomics/proteomics strategies in the context of DC-based anti-cancer vaccines against solid tumors. 

Author Response

Response for Reviewer I

In the manuscript entitled “Dendritic Cell Immunotherapy for Solid Tumors: Advances in Translational Research and Clinical Application”, the authors discussed the translational relevance of dendritic cell-based immunotherapy strategies in solid tumors. Below are the comments to improve the manuscript.

 

Comment 1: 1. The authors should use more flow charts, graphical representations and diagrams to depict different issues or challenges facing DC-based anti-cancer vaccines and their corresponding potential solutions/strategies..

Response: Thank you for your helpful comment. As suggested by the reviewer, we have incorporated a newly created Figure 1 into the manuscript, which provides a schematic overview of the key challenges associated with DC-based anti-cancer vaccines and highlights the corresponding potential solutions and strategies

 

Comment 2: The authors should also discuss relevant proteogenomic, trained immunity, spatial transcriptomics/proteomics strategies in the context of DC-based anti-cancer vaccines against solid tumors.

Response: We sincerely appreciate the reviewer’s valuable suggestion. We have added a discussion in the manuscript on relevant proteogenomic approaches, trained immunity, and spatial transcriptomic/proteomic strategies in the context of DC-based anti-cancer vaccines for solid tumors.

Author Response File: Author Response.pdf

Reviewer 2 Report

Comments and Suggestions for Authors This is an interesting review manuscript, and it presents an acceptable organization regarding the topics it addresses. These are the observations regarding the formatting:
• On line 63, it is advisable to include the meaning of the acronyms.
• On line 87, review the wording because the "on" is repeated.
• On lines 93-94, review the formatting.
• For Table 1, considering that the text first explains DC3, it would be good to place it before pDC.
In the "Challenges and Future Perspectives" section, the use of computational or artificial intelligence strategies for epitope prediction, such as MHCflurry, could be improved, as these types of tools focus on the development of immunoproteomics.

Author Response

Response for Reviewer II

This is an interesting review manuscript, and it presents an acceptable organization regarding the topics it addresses. These are the observations regarding the formatting

 

Comment 1:

  • On line 63, it is advisable to include the meaning of the acronyms.
  • On line 87, review the wording because the "on" is repeated.
  • On lines 93-94, review the formatting.
  • For Table 1, considering that the text first explains DC3, it would be good to place it before pDC.

In the "Challenges and Future Perspectives" section, the use of computational or artificial intelligence strategies for epitope prediction, such as MHCflurry, could be improved, as these types of tools focus on the development of immunoproteomics.

 Response: Thank you for your helpful comment. We have revised the manuscript in accordance with the reviewer’s request.

Author Response File: Author Response.pdf

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