SAMPLE

Deep AI Expert Review

Manuscript Audit Report

Report ID: LCH-SCI-2026-X882

Date: April 23, 2026

Subject: Oncology / Immunotherapy

Executive Summary

This manuscript presents a novel approach to targeting the TIGIT pathway in non-small cell lung cancer (NSCLC). While the methodology is robust, the current version lacks sufficient clarity in the "Comparison" group definition and requires significant refinement of the statistical power discussion before submission to a Tier A journal.

Reviewer #1 Methodologist / Senior Editor

Study Design & PICO Audit

The Population (P) is well-defined. However, the Intervention (I) lacks detail regarding the titration phase. Specifically, the escalation protocol from 10mg to 30mg is not documented in the Methods section. This will be an immediate red flag for NEJM/Lancet editors.

Statistical Rigor

The P-value for the primary endpoint is reported as 0.042. Given the sample size (n=84), the power is borderline. I recommend adding a post-hoc power analysis or explicitly stating the limitations in the Discussion.

Reviewer #2 Subject Matter Expert (Oncology)

Novelty & Clinical Impact

The novelty gap is clearly identified. The focus on TIGIT resistance in PD-L1 low-expressors is timely. However, the literature review (Introduction) misses the 2025 SKYSCRAPER-01 update. Including this will demonstrate up-to-date awareness of the competitive landscape.

Figure & Table Clarity

Figure 2 (Kaplan-Meier curve) is cluttered. Suggest removing the 'Number at Risk' table from the plot area and placing it below the X-axis for better legibility.

Reviewer #3 Linguistic & Technical Editor

Language & Tone

The tone is generally appropriate, but there is excessive use of passive voice in the Results section. Recommendation: Change "It was observed that..." to "We observed..." to improve readability and engagement.

Ethics & Formatting

Check the formatting of references #12 and #18. They do not match the Vancouver style required by the target journal. Ethics approval number is missing from the Disclosure statement.

A-
Novelty
B+
Methodology
78%
Acceptance Prob.

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