Peer Review History

Original SubmissionAugust 30, 2020
Decision Letter - Edwin Wang, Editor

PONE-D-20-26541

Identification of Glioma-Related Potential Genes and Drugs: Based on GEO Database and Mining text

PLOS ONE

Dear Dr. Wang,

Thank you for submitting your manuscript to PLOS ONE. After careful consideration, we feel that it has merit but does not fully meet PLOS ONE’s publication criteria as it currently stands. Therefore, we invite you to submit a revised version of the manuscript that addresses the points raised during the review process.

Please submit your revised manuscript by Nov 13 2020 11:59PM. If you will need more time than this to complete your revisions, please reply to this message or contact the journal office at plosone@plos.org. When you're ready to submit your revision, log on to https://www.editorialmanager.com/pone/ and select the 'Submissions Needing Revision' folder to locate your manuscript file.

Please include the following items when submitting your revised manuscript:

  • A rebuttal letter that responds to each point raised by the academic editor and reviewer(s). You should upload this letter as a separate file labeled 'Response to Reviewers'.
  • A marked-up copy of your manuscript that highlights changes made to the original version. You should upload this as a separate file labeled 'Revised Manuscript with Track Changes'.
  • An unmarked version of your revised paper without tracked changes. You should upload this as a separate file labeled 'Manuscript'.

If you would like to make changes to your financial disclosure, please include your updated statement in your cover letter. Guidelines for resubmitting your figure files are available below the reviewer comments at the end of this letter.

If applicable, we recommend that you deposit your laboratory protocols in protocols.io to enhance the reproducibility of your results. Protocols.io assigns your protocol its own identifier (DOI) so that it can be cited independently in the future. For instructions see: http://journals.plos.org/plosone/s/submission-guidelines#loc-laboratory-protocols

We look forward to receiving your revised manuscript.

Kind regards,

Edwin Wang

Academic Editor

PLOS ONE

Additional editor comments:

1) Please clarify in the GO/KEGG analysis the p values were FDR-adjusted

2) Please clarify if statistical measures have been used in the drug-gene analysis

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Reviewers' comments:

Reviewer's Responses to Questions

Comments to the Author

1. Is the manuscript technically sound, and do the data support the conclusions?

The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented.

Reviewer #1: Partly

Reviewer #2: Yes

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2. Has the statistical analysis been performed appropriately and rigorously?

Reviewer #1: No

Reviewer #2: Yes

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3. Have the authors made all data underlying the findings in their manuscript fully available?

The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified.

Reviewer #1: Yes

Reviewer #2: Yes

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4. Is the manuscript presented in an intelligible fashion and written in standard English?

PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here.

Reviewer #1: No

Reviewer #2: No

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5. Review Comments to the Author

Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters)

Reviewer #1: According to the policy of PLoS One, here I will only comment about the technical issues of the manuscript:

1. There are several glioma gene expression datasets in GEO database. Why did the authors consider only GSE31095, which is a relatively old, small-size microarray dataset in the analysis? Considering consensus DEGs in multiple gene expression datasets will prominently improve the confidence of the resulted gene list.

2. As for the drug analysis, the authors picked the drugs targeting hub genes (which were mostly known cancer driver genes) as the potential glioma-related drugs. The authors can implement gene expression-based drug analysis like Connectivity Map analysis to validate the predicted drugs.

3. The threshold of statistical significance was vague: P-value, adjusted P-value, or FDR, which one was used should be consistent.

4. Grammatical errors, awkward expressions or typos could be observed in nearly everyy paragraph of the manuscript. For example, the title should be “Computational Screening of Potential Glioma-Related Genes and Drugs Based on Analysis of GEO Dataset and Text Mining” rather than “Identification of Glioma-Related Potential Genes and Drugs: Based on GEO Database and Mining text”. Careful language editing by a native speaker is necessary before further consideration of the manuscript.

Reviewer #2: The authors identified some potential Glioma-related genes and available drugs based on analyzing GEO datasets and mining text. I hope the manuscript could be further strengthened by the following comments.

1. Please clearly state the major innovation of this work.

2. I want to know whether the researches for verifying your identification (the researches of Swoboda et al. and Shi et al.) are included in the GenCLIP3 platform for text mining.

3. I want to know whether this method can also be used for the analysis of other cancer.

4. You should revise your English writing carefully and eliminate small errors in the paper to make the paper easier to understand.

5. Could you give some discussions whether your method could be used to predict glioma-related potential non-coding RNAs as the future direction of this work (PMIDs: 29939227, 29045685, 30142158, and 27345524)?

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6. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files.

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Reviewer #1: No

Reviewer #2: No

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Revision 1

Dear Editor Edwin Wang and Reviewers:

We are very grateful to Reviewer for reviewing the paper so carefully. We have carefully considered the suggestion of Reviewer and make some changes.

Responds to the Editor Wang’s comments:

1 Please clarify in the GO/KEGG analysis the p values were FDR-adjusted.

Answer: We appreciate and thank for the detailed Editor Wang of our manuscript. We are very sorry for our negligence of the explanation and we have adjusted the P values by FDR in GO and KEGG analyses.

2 Please clarify if statistical measures have been used in the drug-gene analysis.

Answer: The source of the drug score in the drug-gene database is based on its source. For example, one score is derived from published articles while another score is derived from the database. This is a descriptive conclusion without using statistical method. Thank you very much for your great efforts on our manuscript.

Responds to the reviewers' comments:

Reviewer #1:

1. There are several glioma gene expression datasets in GEO database. Why did the authors consider only GSE31095, which is a relatively old, small-size microarray dataset in the analysis? Considering consensus DEGs in multiple gene expression datasets will prominently improve the confidence of the resulted gene list.

Answer: We appreciate it very much for this good suggestion. However, this data set has been already used by our research team in relevant exploration and mining, so I further analyzed and mined it with text mining through generating letters. Coincidentally, I got several genes that I was studying, such as RPL8 and RPSA.

2. As for the drug analysis, the authors picked the drugs targeting hub genes (which were mostly known cancer driver genes) as the potential glioma-related drugs. The authors can implement gene expression-based drug analysis like Connectivity Map analysis to validate the predicted drugs.

Answer: We would like to thank the reviewer fort his comment. As reviewers have pointed out, the drugs selected are indeed those with known oncogenes, but they are not included in the treatment guidelines for gliomas. Therefore, in this study, we screened out these potential tumor drugs to lay a foundation for the following basic experiments, hoping to expand the indications of these drug therapy and provide new possibilities for the targeted therapy of glioma in the future.

3. The threshold of statistical significance was vague: P-value, adjusted P-value, or FDR, which one was used should be consistent.

Answer: We are very sorry for our negligence of the explanation. We have already adjusted the statistical thresholds to FDR/ ad-value (tip: FDR and ad-value are the same thing). We would like to thank the reviewer also fort his comment.

4. Grammatical errors, awkward expressions or typos could be observed in nearly everyy paragraph of the manuscript. For example, the title should be “Computational Screening of Potential Glioma-Related Genes and Drugs Based on Analysis of GEO Dataset and Text Mining” rather than “Identification of Glioma-Related Potential Genes and Drugs: Based on GEO Database and Mining text”. Careful language editing by a native speaker is necessary before further consideration of the manuscript.

Answer: We apologize for the poor language of our manuscript. The manuscript has been revised by a native English speaker for language corrections. We really hope that the flow and language level have been substantially improved. Many thanks go to reviewers, and we are feel so warm for your suggestions.

Reviewer #2:

1. Please clearly state the major innovation of this work.

Answer: We thank the reviewer. The innovation of our research lies in the cross-combination of data sets in GEO database and text mining. Through the bioinformatics analysis, differential genes are screened out and potential targeted drugs are further explored through differential genes, which will provide new targets and indications for the clinical treatment of glioma.

2. I want to know whether the researches for verifying your identification (the researches of Swoboda et al. and Shi et al.) are included in the GenCLIP3 platform for text mining.

Answer: Dear reviewer, I think you may have misunderstood. The research of Swoboda et al. and Shi et al. is only used to prove that the differentially expressed genes I have obtained are related to other tumors, and these differentially expressed genes are derived from the GenCLIP3 platform and the GSE31095 data set. Therefore, only differentially expressed genes are included in the GenCLIP3 platform. We appreciate and thank for the detailed review of our manuscript.

3. I want to know whether this method can also be used for the analysis of other cancer.

Answer: We would like to thank the reviewer fort his comment. I think it can be used for analyzing many cancers. Because bioscientific research is based on big data survey research, this also means that as long as there is reliable and sufficient tumor sample data, it can be fully applied to other research. Therefore, our current glioma research is not a special case, but a microcosm of research directions.

4. You should revise your English writing carefully and eliminate small errors in the paper to make the paper easier to understand.

Answer: We apologize for the poor language of our manuscript. The manuscript has been revised by a native English speaker for language corrections. We really hope that the flow and language level have been substantially improved. We would like to thank the reviewer also fort his comment.

5. Could you give some discussions whether your method could be used to predict glioma-related potential non-coding RNAs as the future direction of this work (PMIDs: 29939227, 29045685, 30142158, and 27345524)?

Answer: Thank you for your valuable advice. First of all, what I want to say is that non-coding RNA has a very large application prospect. This also means that it can be studied by the method of biosynthesis in the research of glioma. Similarly, the research of biosynthesis is only the initial exploratory research, so if you need to strengthen the reliability, it must be combined with other methods to increase its credibility. The fundamental experiment cycle is too long, and the current popular computer models are just in line. Just like the 4 articles mentioned by the reviewer, after reading carefully, the author found that these articles mainly describe a professional computer model for MiRNA–Disease Association prediction (IMCMDA). This is a surprising discovery, if the big data of Bioinformatics analysis is combined with this model, it can greatly improve the prediction of miRNAs for diseases, not only for gliomas, but for any other tumors, or even any other diseases. This will be an innovation in the era of computer big data, and the author will further explore the correlation between the two. At the same time, we have quoted these 4 articles on Model for MiRNA–Disease Association prediction (IMCMDA) into this article, and have discussed them in the discussion part of this research, in order to make this combined method familiar and understood by more people. Many thanks go to reviewers, and we are feel so warm for your suggestions.

Attachments
Attachment
Submitted filename: Response to Reviewers.docx
Decision Letter - Edwin Wang, Editor

PONE-D-20-26541R1

Computational Screening of Potential Glioma-Related Genes and Drugs Based on Analysis of GEO Dataset and Text Mining

PLOS ONE

Dear Dr. Wang,

Thank you for submitting your manuscript to PLOS ONE. After careful consideration, we feel that it has merit but does not fully meet PLOS ONE’s publication criteria as it currently stands. Therefore, we invite you to submit a revised version of the manuscript that addresses the points raised during the review process.

Please submit your revised manuscript by Feb 18 2021 11:59PM. If you will need more time than this to complete your revisions, please reply to this message or contact the journal office at plosone@plos.org. When you're ready to submit your revision, log on to https://www.editorialmanager.com/pone/ and select the 'Submissions Needing Revision' folder to locate your manuscript file.

Please include the following items when submitting your revised manuscript:

  • A rebuttal letter that responds to each point raised by the academic editor and reviewer(s). You should upload this letter as a separate file labeled 'Response to Reviewers'.
  • A marked-up copy of your manuscript that highlights changes made to the original version. You should upload this as a separate file labeled 'Revised Manuscript with Track Changes'.
  • An unmarked version of your revised paper without tracked changes. You should upload this as a separate file labeled 'Manuscript'.

If you would like to make changes to your financial disclosure, please include your updated statement in your cover letter. Guidelines for resubmitting your figure files are available below the reviewer comments at the end of this letter.

If applicable, we recommend that you deposit your laboratory protocols in protocols.io to enhance the reproducibility of your results. Protocols.io assigns your protocol its own identifier (DOI) so that it can be cited independently in the future. For instructions see: http://journals.plos.org/plosone/s/submission-guidelines#loc-laboratory-protocols

We look forward to receiving your revised manuscript.

Kind regards,

Edwin Wang

Academic Editor

PLOS ONE

[Note: HTML markup is below. Please do not edit.]

Reviewers' comments:

Reviewer's Responses to Questions

Comments to the Author

1. If the authors have adequately addressed your comments raised in a previous round of review and you feel that this manuscript is now acceptable for publication, you may indicate that here to bypass the “Comments to the Author” section, enter your conflict of interest statement in the “Confidential to Editor” section, and submit your "Accept" recommendation.

Reviewer #1: (No Response)

Reviewer #2: (No Response)

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2. Is the manuscript technically sound, and do the data support the conclusions?

The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented.

Reviewer #1: Partly

Reviewer #2: Yes

**********

3. Has the statistical analysis been performed appropriately and rigorously?

Reviewer #1: Yes

Reviewer #2: Yes

**********

4. Have the authors made all data underlying the findings in their manuscript fully available?

The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified.

Reviewer #1: Yes

Reviewer #2: Yes

**********

5. Is the manuscript presented in an intelligible fashion and written in standard English?

PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here.

Reviewer #1: (No Response)

Reviewer #2: Yes

**********

6. Review Comments to the Author

Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters)

Reviewer #1: The authors have addressed or explained most of my previous points except Major point 1. Without supporting evidence from another gene expression dataset, the technical quality requirement, which is emphasized by PLoS One journal, could not be met. On the other hand, this is not a hard task: The authors can simply find another glioma RNA-Seq dataset from GEO, intersect its differentially expressed genes with GenCLIP3 gene set, and perform GO and KEGG functional enrichment analysis. If there are some overlap of the enriched function terms between the new and the previous analyses, the result of this manuscript should be much more consolidated.

Besides, I would also like to point out that adjusted p-value and FDR are actually NOT the same thing. There are several statistical methods for p-value adjustment against multiple tests; and FDR, often following the Benjamini family of methods, is one category of adjusted p-value.

Reviewer #2: Authors should carefully check the information of references. For example, the author of [64] should be Chen X, Wang L, Qu J, Guan N-N, Li J-Q and its volume, issue and page number should be 34(24): 4256-4265; the year, volume, issue and page number of [66] should be 2017 18(4):558-576; the author of [67] should be Chen X, Yin J, Qu J, Huang L and its page number should be e1006418.

**********

7. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files.

If you choose “no”, your identity will remain anonymous but your review may still be made public.

Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy.

Reviewer #1: No

Reviewer #2: No

[NOTE: If reviewer comments were submitted as an attachment file, they will be attached to this email and accessible via the submission site. Please log into your account, locate the manuscript record, and check for the action link "View Attachments". If this link does not appear, there are no attachment files.]

While revising your submission, please upload your figure files to the Preflight Analysis and Conversion Engine (PACE) digital diagnostic tool, https://pacev2.apexcovantage.com/. PACE helps ensure that figures meet PLOS requirements. To use PACE, you must first register as a user. Registration is free. Then, login and navigate to the UPLOAD tab, where you will find detailed instructions on how to use the tool. If you encounter any issues or have any questions when using PACE, please email PLOS at figures@plos.org. Please note that Supporting Information files do not need this step.

Revision 2

Responds to the reviewers' comments:

Reviewer #1:

1. The authors have addressed or explained most of my previous points except Major point 1. Without supporting evidence from another gene expression dataset, the technical quality requirement, which is emphasized by PLoS One journal, could not be met. On the other hand, this is not a hard task: The authors can simply find another glioma RNA-Seq dataset from GEO, intersect its differentially expressed genes with GenCLIP3 gene set, and perform GO and KEGG functional enrichment analysis. If there are some overlap of the enriched function terms between the new and the previous analyses, the result of this manuscript should be much more consolidated.

Besides, I would also like to point out that adjusted p-value and FDR are actually NOT the same thing. There are several statistical methods for p-value adjustment against multiple tests; and FDR, often following the Benjamini family of methods, is one category of adjusted p-value.

Answer: We would like to thank the reviewer fort his comment. As reviewers have pointed out, without supporting evidence from another gene expression dataset, the technical quality requirement could not be met. In response to this, we followed the reviewer’s recommendations and methods, after continuous mining and exploration of other datasets in GEO, repeated analysis and verification, and finally found a dataset GSE109857. Through verification, some overlap of the enriched function terms between the new and the previous analyses, the final results have been listed and modified in the article.

Secondly, follow the reviewer’s description of both the FDR and the adjusted P-value, we have repeatedly checked the literature and found that, as the reviewer said, the two are not the same thing. Thank the reviewers for such important and valuable comments. And the threshold used in this article is FDR.

Reviewer #2:

1. Authors should carefully check the information of references. For example, the author of [64] should be Chen X, Wang L, Qu J, Guan N-N, Li J-Q and its volume, issue and page number should be 34(24): 4256-4265; the year, volume, issue and page number of [66] should be 2017 18(4):558-576; the author of [67] should be Chen X, Yin J, Qu J, Huang L and its page number should be e1006418.

Answer: We appreciate the reviewer for pointing out this fact. We have checked the references thoroughly are now all in a uniform format in the revised manuscript.

Attachments
Attachment
Submitted filename: Response to Reviewers.docx
Decision Letter - Edwin Wang, Editor

Computational Screening of Potential Glioma-Related Genes and Drugs Based on Analysis of GEO Dataset and Text Mining

PONE-D-20-26541R2

Dear Dr. Wang,

We’re pleased to inform you that your manuscript has been judged scientifically suitable for publication and will be formally accepted for publication once it meets all outstanding technical requirements.

Within one week, you’ll receive an e-mail detailing the required amendments. When these have been addressed, you’ll receive a formal acceptance letter and your manuscript will be scheduled for publication.

An invoice for payment will follow shortly after the formal acceptance. To ensure an efficient process, please log into Editorial Manager at http://www.editorialmanager.com/pone/, click the 'Update My Information' link at the top of the page, and double check that your user information is up-to-date. If you have any billing related questions, please contact our Author Billing department directly at authorbilling@plos.org.

If your institution or institutions have a press office, please notify them about your upcoming paper to help maximize its impact. If they’ll be preparing press materials, please inform our press team as soon as possible -- no later than 48 hours after receiving the formal acceptance. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information, please contact onepress@plos.org.

Kind regards,

Edwin Wang

Academic Editor

PLOS ONE

Additional Editor Comments (optional):

Reviewers' comments:

Formally Accepted
Acceptance Letter - Edwin Wang, Editor

PONE-D-20-26541R2

Computational Screening of Potential Glioma-Related Genes and Drugs Based on Analysis of GEO Dataset and Text Mining

Dear Dr. Wang:

I'm pleased to inform you that your manuscript has been deemed suitable for publication in PLOS ONE. Congratulations! Your manuscript is now with our production department.

If your institution or institutions have a press office, please let them know about your upcoming paper now to help maximize its impact. If they'll be preparing press materials, please inform our press team within the next 48 hours. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information please contact onepress@plos.org.

If we can help with anything else, please email us at plosone@plos.org.

Thank you for submitting your work to PLOS ONE and supporting open access.

Kind regards,

PLOS ONE Editorial Office Staff

on behalf of

Dr. Edwin Wang

Academic Editor

PLOS ONE

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