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Integrity Assessment Report: Identifying potential risk genes for clear cell renal cell carcinoma with deep reinforcement learning (Nature Communications, 2025)

Academic fraud report · Geng Detector

Summary

This report examines a Nature Communications article (DOI: 10.1038/s41467-025-58439-5) on deep reinforcement learning-based risk gene identification for clear cell renal cell carcinoma (ccRCC). The overall verdict is highly suspicious. The most severe textual finding is a copy-paste artifact in the Figure 4 caption where reviewer language ('pointing out this issue') is concatenated with experimental text, producing the non-word 'epointing out this issuefficacies'. Additional concerns include implausibly small sample sizes (n=3 mice per group in Figure 5, n=3–4 in vitro) coupled with claims of robust statistical significance, inconsistent sample-size reporting (n=3 in some methods sections vs. n=5 independent experiments in Figure 4), a duplicated reference to the same Nature Genetics paper differing only in author abbreviation format, and a mismatched citation justifying a tumor-volume formula. The image pixel-level analysis was not performed. Confidence in the textual evidence is high, but final judgment requires editorial investigation and raw data verification.

Verdict

🟠 Highly suspicious. The most damning textual artifact (embedded reviewer comment in the Figure 4 caption) is almost certainly not a typographical error and points to careless or rushed manuscript handling. Combined with statistical descriptions inconsistent with accepted norms for in vivo studies, the paper warrants formal editorial investigation. Image-level manipulation cannot be ruled out from text alone and requires independent examination of the original blots, microscopy, and flow cytometry data.

Key findings

  • 🔴 Embedded reviewer text in main text (Figure 4 caption): A fragment of reviewer language was pasted into the experimental description, producing the non-word "epointing out this issuefficacies" — a concatenation of reviewer phrasing "pointing out this issue" with the original word "efficacies". This is a clear copy-paste artifact inconsistent with professional manuscript handling.
  • 🔴 Implausibly small sample sizes vs. claimed significance: In vivo experiments in Figure 5 reportedly use n=3 mice per group, with in vitro assays at n=3 or n=4. Robust statistical significance in tumor-growth inhibition studies with such sample sizes is unusual and suggests cherry-picked or fabricated data.
  • 🔴 Inconsistent sample-size reporting: Methods state experiments were "performed in triplicate", yet Figure 4 reportedly describes n=5 independent experiments — an internal contradiction that undermines data credibility.
  • 🟡 Duplicate reference: The same Nature Genetics paper (Leiserson et al., *Pan-cancer network analysis…*, Nat. Genet. 47, 106–114, 2015) appears in the reference list twice — Ref 30 and Ref 37 — differing only in author-abbreviation format.
  • 🟡 Mismatched methodological citation: A standard tumor-volume formula ($L \times W^2 \times 0.5236$) is supported by a citation to a prostate cancer Vinculin study (Zheng, X. et al., *Prostate* 81, 347–356, 2021), suggesting a patchwork methodology section rather than a coherent justification.
  • 🟡 Compressed experimental timeline: Animal ethics approval No. 20230214007 (14 February 2023) and submission on 13 May 2024 leave roughly 15 months for animal approval, multi-gene (EGFR, PCLO) stable-line construction in multiple cell lines (ACHN, 786-O, 293T), and a full battery of assays (CCK-8, apoptosis, migration, invasion, xenografts) — a suspiciously short production cycle.
  • Evidence highlights

  • Exact verbatim artifact from Figure 4 caption: *"short hairpin RNA (shRNA)-2/3 showed promising knockdown epointing out this issuefficacies for EGFR silencing"* — the italicized portion is non-English and combines a reviewer comment with the original word "efficacies" (with the ligature fi preserved).
  • Stated sample sizes referenced in the report: n=3 mice per group (Figure 5 in vivo), n=3–4 (in vitro), and n=5 independent experiments cited in Figure 4.
  • Duplicate reference identifiers: Ref 30 and Ref 37, both pointing to Leiserson et al., *Nat. Genet.* 47, 106–114 (2015).
  • Cited tumor-volume formula: $L \times W^2 \times 0.5236$, supported by Ref 117 (Zheng, X. et al., *Prostate* 81, 347–356, 2021).
  • Timeline anchors: ethics approval 20230214007 (14 February 2023); Received 13 May 2024; Accepted 18 March 2025.
  • DOI: 10.1038/s41467-025-58439-5.
  • Notes

  • This assessment is constrained to textual, statistical-description, citation, and metadata analysis. No pixel-level examination of Western blots, microscopy images, or flow cytometry plots was performed; such image-based analysis is necessary to fully evaluate the figures.
  • The "epointing out this issuefficacies" artifact is, on its own, strong evidence of unprofessional manuscript preparation. Whether it reflects fraud, extreme carelessness, or a language-processing failure is for the editorial office to determine.
  • The small in vivo sample size (n=3) is unconventional but not by itself disqualifying; however, when combined with claimed strong statistical significance and contradictory n=5 reporting elsewhere, it substantially weakens the evidentiary weight of the wet-lab claims.
  • The report's recommendation is to request the corresponding authors provide raw unprocessed Western blot images, original flow cytometry FCS files, complete animal husbandry records, and full individual-animal tumor-volume measurements, and to file a PubPeer comment citing the verbatim Figure 4 caption artifact.
  • Final determination of academic misconduct must be made by a qualified institutional or editorial investigation, not by this report.

Tags

#academic-fraud#textual-artifact#copy-paste#sample-size-issues#reference-duplication#oncology#bioinformatics#nature-communications

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