Title: A comprehensive computational analysis to explore the importance of SIGLECs in HCC
biology
Version: 1 Date: 15 Dec 2021
Reviewer's report:
The study is really complex and hard to read and this is mainly because the authors used data from
various electronic database and it is not always clear were analyzed data come from. Moreover
many abbreviations are not always spelled at their first appearance in the text.
It is not easy to understand how many patients and controls (or histological samples) have been
analyzed and if the various analyzes have been performed on the same patients or on different
patients from different databases.
Methods are not clear and difficult to follow.
A concise table reporting the number of enrolled patients for various analysis could help.
Regarding survival analysis more information regarding this analysis must be reported as mean
follow-up time, mean treatment duration. Moreover also other potential factors affecting survival
should be evaluated such as CHILD and MELD score or AGE.
There are various typographical and typos. English needs to be improved in addition to the
aforementioned need to make abbreviations explicit when they first appear in the text. Some
abbreviations are reported differently in the text (example both SIGLEC and Siglec are used
in the text)
Title: A comprehensive computational analysis to explore the importance of SIGLECs in HCC
biology
Version: 1 Date: 15 Dec 2021
Reviewer's report:
The study is really complex and hard to read and this is mainly because the authors used data from
various electronic database and it is not always clear were analyzed data come from. Moreover
many abbreviations are not always spelled at their first appearance in the text.
It is not easy to understand how many patients and controls (or histological samples) have been
analyzed and if the various analyzes have been performed on the same patients or on different
patients from different databases.
Methods are not clear and difficult to follow.
A concise table reporting the number of enrolled patients for various analysis could help.
Regarding survival analysis more information regarding this analysis must be reported as mean
follow-up time, mean treatment duration. Moreover also other potential factors affecting survival
should be evaluated such as CHILD and MELD score or AGE.
There are various typographical and typos. English needs to be improved in addition to the
aforementioned need to make abbreviations explicit when they first appear in the text. Some
abbreviations are reported differently in the text (example both SIGLEC and Siglec are used
in the text)
Please review this paper.
user
Title: A comprehensive computational analysis to explore the importance of SIGLECs in HCC
biology
Version: 1 Date: 15 Dec 2021
Reviewer's report:
The study is really complex and hard to read and this is mainly because the authors used data from
various electronic database and it is not always clear were analyzed data come from. Moreover
many abbreviations are not always spelled at their first appearance in the text.
It is not easy to understand how many patients and controls (or histological samples) have been
analyzed and if the various analyzes have been performed on the same patients or on different
patients from different databases.
Methods are not clear and difficult to follow.
A concise table reporting the number of enrolled patients for various analysis could help.
Regarding survival analysis more information regarding this analysis must be reported as mean
follow-up time, mean treatment duration. Moreover also other potential factors affecting survival
should be evaluated such as CHILD and MELD score or AGE.
There are various typographical and typos. English needs to be improved in addition to the
aforementioned need to make abbreviations explicit when they first appear in the text. Some
abbreviations are reported differently in the text (example both SIGLEC and Siglec are used
in the text)
assistant