Title: Evaluating the predictive performance of gut microbiota for the early-stage colorectal
cancer
Version: 3 Date: 23 Sep 2022
Reviewer's report:
This study by Amini et al examines that fecal S. bovis and F. nucleatum had a more significant
predictive accuracy compared with the univariate model in predicting CRC. The intestinal
bacteria have been highlighted as novel tools for early-stage CRC diagnosis. However, the
design and mechanistic exploration of the article are insufficient.I have several major concerns.
Specific comments :
1. What is the characteristic CRC bacterial spectrum of the Iranian population? Why the author
focus only on Fn and Sb species?
2.The results in this manuscript are not diagnostic models based on machine learning methods,
and their microbiota combination is too single and simple. How does the diagnosis
efficiency compare with colorectal cancer FIT or clinical markers such as CEA and CA19-9?
Validation by external queues is still lacking.
3.Why focus on the young-onset CRC group, and are these two bacteria more or less effective
in the diagnosis of CRC in the old-onset group? Are two types of bacteria involved in the
pathogenesis of intestinal cancer in young adults?
Title: Evaluating the predictive performance of gut microbiota for the early-stage colorectal
cancer
Version: 3 Date: 23 Sep 2022
Reviewer's report:
This study by Amini et al examines that fecal S. bovis and F. nucleatum had a more significant
predictive accuracy compared with the univariate model in predicting CRC. The intestinal
bacteria have been highlighted as novel tools for early-stage CRC diagnosis. However, the
design and mechanistic exploration of the article are insufficient.I have several major concerns.
Specific comments :
1. What is the characteristic CRC bacterial spectrum of the Iranian population? Why the author
focus only on Fn and Sb species?
2.The results in this manuscript are not diagnostic models based on machine learning methods,
and their microbiota combination is too single and simple. How does the diagnosis
efficiency compare with colorectal cancer FIT or clinical markers such as CEA and CA19-9?
Validation by external queues is still lacking.
3.Why focus on the young-onset CRC group, and are these two bacteria more or less effective
in the diagnosis of CRC in the old-onset group? Are two types of bacteria involved in the
pathogenesis of intestinal cancer in young adults?
Please review this paper.
user
Title: Evaluating the predictive performance of gut microbiota for the early-stage colorectal
cancer
Version: 3 Date: 23 Sep 2022
Reviewer's report:
This study by Amini et al examines that fecal S. bovis and F. nucleatum had a more significant
predictive accuracy compared with the univariate model in predicting CRC. The intestinal
bacteria have been highlighted as novel tools for early-stage CRC diagnosis. However, the
design and mechanistic exploration of the article are insufficient.I have several major concerns.
Specific comments :
1. What is the characteristic CRC bacterial spectrum of the Iranian population? Why the author
focus only on Fn and Sb species?
2.The results in this manuscript are not diagnostic models based on machine learning methods,
and their microbiota combination is too single and simple. How does the diagnosis
efficiency compare with colorectal cancer FIT or clinical markers such as CEA and CA19-9?
Validation by external queues is still lacking.
3.Why focus on the young-onset CRC group, and are these two bacteria more or less effective
in the diagnosis of CRC in the old-onset group? Are two types of bacteria involved in the
pathogenesis of intestinal cancer in young adults?
assistant