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Peer-Review Record

Identification of Tumor Antigens and Immune Subtypes of Malignant Mesothelioma for mRNA Vaccine Development

Vaccines 2022, 10(8), 1168; https://doi.org/10.3390/vaccines10081168
by Shuhang Wang 1,†, Yuqi Yang 2,†, Lu Li 3,†, Peiwen Ma 1,†, Yale Jiang 1, Minghui Ge 3, Yue Yu 1, Huiyao Huang 1, Yuan Fang 1, Ning Jiang 1, Huilei Miao 1, Hao Guo 3, Linlin Yan 3, Yong Ren 3, Lichao Sun 4,*, Yan Zha 2,* and Ning Li 1,*
Reviewer 1:
Reviewer 2: Anonymous
Reviewer 3:
Vaccines 2022, 10(8), 1168; https://doi.org/10.3390/vaccines10081168
Submission received: 9 June 2022 / Revised: 7 July 2022 / Accepted: 13 July 2022 / Published: 22 July 2022
(This article belongs to the Section Cancer Vaccines and Immunotherapy)

Round 1

Reviewer 1 Report

Dear authors,

Thanks for your contribution on this field. This is an interesting article on identifying tumor antigens for mRNA vaccine development in the case of mesothelium cancer. The manuscript is well organized and written. Research is well conducted.

I can raise some concerns about figure quality which render them in some case unreadable.

Even if some robust data are provided on the identity gene are evidenced, all result are coming from data mining. It will be more convincing if some in vitro data from cell culture-based experiments are provided such as identification by qPCR or Western blot of identified target and such as silencing experiments of their expression aiming at evidencing the positive impact to reinforce their selections as tumor antigens for mRNA vaccine.

Regards

 

Author Response

Please see the attachment.

Author Response File: Author Response.docx

Reviewer 2 Report

This paper is an in-silico search for antigens that could be used to improve responses to treatment of mesothelioma. Part of the analysis involves breakdown of MESO into 2 immune subtypes, TM1 and TM2 with a corresponding prognosis and for TM2a list of antigens that could be considered for immune antibody therapy.

There are several issues, both minor and major that should be addressed before publication.

There seems to be a discrepancy over mutation burden in TM1 versus TM2, that arises because different data sets are used for analysis. In Figure 4, TM1 shows greater DNA alterations in the first 3 panels.  However, in sup Fig B, the mutational burden is not different.  Also, put the P value in the panel.  Please, point out in the Results section and discuss after.  Also, state clearly how the Tumor purity scores are calculated so that we can see how the StomaSscore seem to be strong enough the give a significant difference in the EstimateScore in Fig 4 B even though the ImmuneScore is not different.  Also, provide the markers for StromaSscore.

Line 83-MPM; please spell out rather than using an abbreviation.

Line 113-say “87 MESO tumor samples”

Lime 123- reverse, copy number variation (CNV)

Line 189-genes identified

Line 196-, which was

Line 205- natural killer cells

Line 217-218.  The entire sentence should go to the Discussion section, line 351 or near there.

Line 226- eighty-seven tumor samples

Line 233-234- Provide a comparison to support claim.  State here that this will be included in the Discussion section.  There, provide the comparable information from the literature with references.

Figure 3B.  Change colors of clusters to agree with 3C and 4 and 5.  Cluster 2 should be orange and cluster 1 should be blue.

Lines 252-257.  List out all 6 groups.  Also, tells us what “wound healing” means for cancer.  Could this be rephrased as metastatic potential?

Line 302. “ had” instead of “detected”

Line 034.  Need a verb, LRP1SETD2 “were”

Line 324.  (hub genes)

Line 328. Affects

Line 368. ALDH3A2 was linked to better prognosis

Line 382.  In vitro

Line 409.  to prognosis,

Line 411-412.  Spell out ICD and ICP

 

Author Response

Please see the attachment.

Author Response File: Author Response.docx

Reviewer 3 Report

This article investigated that the possible candidates of antigen for mRNA vaccine against malignant mesothelioma by in silico analyses. Authors drew a reasonable conclusion from the obtained results.

The contents are well organized, however, the following point should be considered to improve this article.

 

Minor point

1) There are some parts that require minor corrections.

a) Figure4 A : Wilcox Test Wilcoxon Test

b) Line 311 : patways pathways

c) Line 499 : Elife eLife

d) Line 539 : EBioMedicine eBioMedicine

 

2) The expression style should be unified.

  In “References” section

a) for example [1] vs [3] : Wang S vs Kindler H.L.

b) CA : Cancer Journal for Clinicians CA Cancer J Clin

Author Response

Response to Reviewer 3 Comments

 

Point 1: There are some parts that require minor corrections.

  1. a) Figure4 A : Wilcox Test → Wilcoxon Test
  2. b) Line 311 : patways → pathways
  3. c) Line 499 : Elife → eLife
  4. d) Line 539 : EBioMedicine → eBioMedicine

Response 1: Thanks very much for your corrections. I’m very sorry that we had some spelling mistakes and we have corrected them in the reversed manuscript.

2) The expression style should be unified.

  In “References” section

  1. a) for example [1] vs [3] : Wang S vs Kindler H.L.
  2. b) CA : Cancer Journal for Clinicians → CA Cancer J Clin

Response 2: Thanks very much for your corrections. We have checked all the references and unified the expression style in the reversed manuscript.

Round 2

Reviewer 1 Report

Thanks for considering the made comments.

I can understand the difficulty of getting patient samples for such rare cancer.

Hope you will be able to provide robust data on next papers

All the best

 

Reviewer 2 Report

Do one more check for English/grammar. 

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