cc-peer-review-revision

GitHub

用于应对Cancer Cell审稿意见,规划新实验、撰写逐点回复并校准声明。指导区分实验与文本修改优先级,遵循Cell Press咨询审稿背景,规范回复结构及修订纪律,确保严谨性与专业度。

Cancer-Cell-Skills/skills/cc-peer-review-revision/SKILL.md brycewang-stanford/Awesome-Journal-Skills

Trigger Scenarios

收到Cancer Cell重大/轻微修改决定信及审稿报告 需要区分请求的新实验与文本修改任务 审稿人要求补充体内或人体验证数据 涉及咨询式(交叉)审稿的意见协调

Install

npx skills add brycewang-stanford/Awesome-Journal-Skills --skill cc-peer-review-revision -g -y
More Options

Non-standard path

npx skills add https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Cancer-Cell-Skills/skills/cc-peer-review-revision -g -y

Use without installing

npx skills use brycewang-stanford/Awesome-Journal-Skills@cc-peer-review-revision

指定 Agent (Claude Code)

npx skills add brycewang-stanford/Awesome-Journal-Skills --skill cc-peer-review-revision -a claude-code -g -y

安装 repo 全部 skill

npx skills add brycewang-stanford/Awesome-Journal-Skills --all -g -y

预览 repo 内 skill

npx skills add brycewang-stanford/Awesome-Journal-Skills --list

SKILL.md

Frontmatter
{
    "name": "cc-peer-review-revision",
    "description": "Use when responding to Cancer Cell (Cell Press) reviewer reports — planning new experiments, writing a point-by-point response, and calibrating claims for revision. It structures the rebuttal and revision; it does not run the experiments or design them from scratch."
}

Peer Review & Revision (cc-peer-review-revision)

When to trigger

  • A decision letter with reviewer reports has arrived (major/minor revision)
  • You must triage requested experiments vs. textual changes
  • Reviewers ask for additional in vivo / human validation or rigor fixes
  • A consultative / cross-referee comment requires reconciling reviews

Cell Press review context

Cancer Cell uses editorial assessment plus external peer review, and Cell Press can run consultative (cross-referee) review where reviewers see each other's comments. Practical implications:

  • Reviewers may converge on shared concerns — address the cross-cutting issue, not just each bullet.
  • The editor's letter signals which points are essential vs. optional; prioritize those.
  • New experiments that strengthen orthogonal validation (in vivo / human) carry the most weight.

Triage every comment

Reviewer ask Response mode
"Does this hold in vivo / in patients?" New experiment (highest priority) — plan via cc-study-design
"Cell line unauthenticated / antibody not validated" Rigor fix — cc-reporting-standards
"n unclear / pseudo-replication / wrong test" Reanalyze + report — cc-statistics
"Representative image without quantification" Quantify across replicates — cc-figures-tables
"Overstated claim" Narrow the claim — cc-writing-style
"Missing control / rescue" Add control experiment
Disagreement / out-of-scope request Respectful, evidence-based pushback

Point-by-point response structure

For each comment:

  1. Quote the reviewer's point verbatim.
  2. State the change: new data, reanalysis, or text edit.
  3. Point to where in the revision it appears (new Figure 4C, Methods p. X, lines Y–Z).
  4. If you disagree, give a courteous, data-backed rationale — do not ignore it.

Open the response with a brief summary of the major new experiments and how the paper improved. Keep tone professional and concrete; reviewers and editor read this closely.

Revision discipline

  • Do not over-revise into a different paper; address what was asked.
  • When adding in vivo / human data, carry through the same rigor (controls, n, randomization, blinding, deposition of any new datasets).
  • Update the Key Resources Table, availability statement, and statistics for any new experiments.
  • Re-run the cc-submission preflight before resubmitting.
  • If you cannot do an experiment, explain why and offer the strongest feasible alternative.

Worked micro-example: a point-by-point entry

Reviewer 2, comment 3 (verbatim): "The MARK7 phenotype is shown only in cell lines. Does loss of MARK7 restrain tumor growth in an immunocompetent in vivo setting?"

Response (the Cancer Cell pattern):

We agree this was the central gap. We generated Mark7-conditional autochthonous tumors and, in a new Figure 5D–F, show that MARK7 loss reduced tumor burden and restored intratumoral CD8⁺ T cell infiltration (n=9 vs. 10 mice; randomized to arms; blinded histology scoring; log-rank p reported in the legend). The in vivo RNA-seq is deposited under GEO [accession] (KRT updated). We have accordingly revised the Summary and Discussion to state a "candidate vulnerability for checkpoint combination" rather than a "therapeutic target," matching the evidence now in hand.

Note the moves: it concedes the point, delivers the highest-value experiment (in vivo, immunocompetent), carries full rigor (n, randomization, blinding), deposits the new data, and narrows the claim in the same breath — the reviewer sees the manuscript improve, not merely defend itself.

Framing pushback that survives consultative review

Because reviewers may see each other's reports, a rebuttal that dismisses one referee can alienate the panel. When you decline an experiment:

  • Grant the scientific premise before explaining the constraint (feasibility, timeline, model availability, or that the request tests a different hypothesis).
  • Offer the strongest feasible substitute (orthogonal assay, existing cohort reanalysis, published data).
  • Where a request is genuinely out of scope, say what the paper does claim and confine the finding accordingly rather than arguing the reviewer is wrong.

Cancer Cell revision failure modes

  • Adding an in vivo experiment with a lower bar than the original (no randomization, n of 3, no blinded scoring) — reviewers notice the rigor drop immediately.
  • Answering the "does it hold in patients?" comment with more cell-line data.
  • Depositing nothing new even though the revision generated sequencing or proteomics data.
  • Re-broadening the Summary/Highlights after narrowing the Results — front matter and body must agree.
  • A rebuttal letter that resolves minor textual points in detail but leaves the essential mechanistic ask half-answered.

Checklist

  • Every reviewer point addressed individually; none skipped
  • Essential (editor-flagged) points prioritized and fully resolved
  • Cross-cutting concern shared across reviewers identified and answered
  • New experiments carry full rigor and n; new datasets deposited
  • Each response points to the exact location of the change
  • Claims narrowed where evidence did not grow
  • Polite, evidence-based rationale for any disagreement
  • KRT, statistics, and availability statement updated; preflight re-run

Anti-patterns

  • Selectively answering easy comments and ignoring hard ones
  • Adding new data with weaker rigor than the original (no controls, undefined n)
  • Dismissive or defensive rebuttals to disagreements
  • Claiming a change was made without pointing to where
  • Re-broadening claims the reviewers asked you to narrow
  • Forgetting to deposit datasets generated during revision

Output format

【Decision】major / minor revision
【Essential points】editor-flagged: [...]
【Cross-cutting concern】...
【New experiments planned】(rigor + n + deposition): [...]
【Per-comment plan】R1.1 → ...; R1.2 → ...; R2.1 → ...
【Claims to narrow】...
【Pushback (with rationale)】...
【Next step】execute revisions → re-run cc-submission preflight

Version History

  • 1839142 Current 2026-07-05 12:26

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Metadata

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