KF1 Single-cell modules supplied the HCCcrds gene set.
GSE149614 single-cell module analysis.
| Measure | Value |
|---|---|
| Analyzed cells | 11,383 |
| Genes from modules M2/M4/M5 | 562 |
Source locator: Author-deposited full text: Results 3.1; Fig. 2
Journal of Integrative Medicine
Xiao-jie Li, Le Chang, Yang Mi, Ge Zhang, Shan-shan Zhu, Yue-xiao Zhang, Hao-yu Wang, Yi-shuang Lu, Ye-xuan Ping, Peng-yuan Zheng, Xia Xue. Integrated-omics analysis defines subtypes of hepatocellular carcinoma based on circadian rhythm. Journal of Integrative Medicine. 2025;23(4):445–456. https://doi.org/10.1016/j.joim.2025.06.003
Integrated-omics analysis defines subtypes of hepatocellular carcinoma based on circadian rhythm
HCCcrds-related subtype analysis separates expression, retrospective outcome associations and external template assessment.
Cell counts, candidate genes, HCC cohort samples and separate circadian reference experiments are different units. No complete unique-participant total is inferred. The five external datasets have different analytical uses: the four Fig. 5A and four Fig. 5B sets overlap but are not identical and must not be added as eight independent cohorts. External validation means retrospective cross-dataset expression/classification evaluation, not prospective clinical utility or direct physiological rhythm measurement in HCC patients.
Can a circadian-related expression framework distinguish HCC subtypes with reproducible molecular features and retrospective outcome associations?
This study provides a transcriptomic framework for HCC heterogeneity. The relevant evidence is subtype association and cross-dataset evaluation, not demonstrated clinical benefit from score-guided treatment. Reference circadian experiments and HCC patient cohorts serve different analytical roles.
GSE149614 single-cell module analysis.
| Measure | Value |
|---|---|
| Analyzed cells | 11,383 |
| Genes from modules M2/M4/M5 | 562 |
Source locator: Author-deposited full text: Results 3.1; Fig. 2
Circadian reference experiments analyzed separately from HCC cohorts.
Source locator: Author-deposited full text: Results 3.2; Fig. 3
Retrospective TCGA-LIHC subtype and outcome analysis.
| Measure | Value |
|---|---|
| TCGA-LIHC n | 369 |
| Subtypes | CS-H; CS-L; CS-M |
Source locator: Author-deposited full text: Results 3.3-3.4; Fig. 4
External analyses reported in Fig. 5A and Fig. 5B.
| Measure | Value |
|---|---|
| Fig. 5A datasets | ICGC_LIRI; GSE14520; GSE54236; GSE104580 |
| Fig. 5B datasets | ICGC_LIRI; GSE14520; GSE54236; GSE27150 |
Source locator: Author-deposited full text: Results 3.5; Fig. 5 legend
Expression-based functional and immune analyses.
Source locator: Author-deposited full text: Results 3.6-3.7; Fig. 6
Candidate-gene expression and network prioritization.
Source locator: Author-deposited full text: Results 3.8; Table 2; final PubMed abstract
Single-cell modules supplied the HCCcrds gene set. Analyzed cells: 11,383; Genes from modules M2/M4/M5: 562. Cells and candidate genes are not patient counts or demonstrated causal regulators. TCGA-LIHC analysis identified CS-H, CS-L and CS-M, with poorer outcomes associated with CS-H. TCGA-LIHC n: 369; Subtypes: CS-H; CS-L; CS-M. Association does not establish that circadian disruption causes liver cancer or constitute a validated clinical decision rule.
The score was evaluated in separate clock, feeding and sleep-reference data. Reference datasets: GSE10045; GSE150381; GSE39445. Reference-experiment evaluation does not mean HCC patients underwent longitudinal physiological circadian measurements.
Evidence: KF2
External subtype and survival analyses used overlapping but different cohort sets. Fig. 5A datasets: ICGC_LIRI; GSE14520; GSE54236; GSE104580; Fig. 5B datasets: ICGC_LIRI; GSE14520; GSE54236; GSE27150. Do not claim that all five cohorts validated survival, or add the two four-cohort analyses as eight independent cohorts.
Evidence: KF4
Subtypes differed in proliferation/metabolic programs and inferred immune characteristics. Analyses: Expression enrichment; CIBERSORT; IPS. IPS and immune deconvolution are not an observed immunotherapy-response trial. NNMT and MARCKSL1 were among subtype-associated candidate genes. Evidence: Expression correlation and network prioritization. This evidence synthesis does not claim independent causal intervention or therapeutic validation of these genes.
| Row ID | Component | Context | Finding | Evidence Level | Scope | Source Locator | Evidence refs |
|---|---|---|---|---|---|---|---|
| evidence-hcc-1 | Score derivation | GSE149614 single-cell module analysis. | Single-cell modules supplied the HCCcrds gene set. Analyzed cells: 11,383; Genes from modules M2/M4/M5: 562 | Retrospective expression and computational evidence | Cells and candidate genes are not patient counts or demonstrated causal regulators. | Author-deposited full text: Results 3.1; Fig. 2 | KF1 |
| evidence-hcc-2 | Circadian reference evaluation | Circadian reference experiments analyzed separately from HCC cohorts. | The score was evaluated in separate clock, feeding and sleep-reference data. Reference datasets: GSE10045; GSE150381; GSE39445 | Retrospective expression and computational evidence | Reference-experiment evaluation does not mean HCC patients underwent longitudinal physiological circadian measurements. | Author-deposited full text: Results 3.2; Fig. 3 | KF2 |
| evidence-hcc-3 | Clinical subtype association | Retrospective TCGA-LIHC subtype and outcome analysis. | TCGA-LIHC analysis identified CS-H, CS-L and CS-M, with poorer outcomes associated with CS-H. TCGA-LIHC n: 369; Subtypes: CS-H; CS-L; CS-M | Retrospective expression and computational evidence | Association does not establish that circadian disruption causes liver cancer or constitute a validated clinical decision rule. | Author-deposited full text: Results 3.3-3.4; Fig. 4 | KF3 |
| evidence-hcc-4 | Different external evaluation sets | External analyses reported in Fig. 5A and Fig. 5B. | External subtype and survival analyses used overlapping but different cohort sets. Fig. 5A datasets: ICGC_LIRI; GSE14520; GSE54236; GSE104580; Fig. 5B datasets: ICGC_LIRI; GSE14520; GSE54236; GSE27150 | Retrospective expression and computational evidence | Do not claim that all five cohorts validated survival, or add the two four-cohort analyses as eight independent cohorts. | Author-deposited full text: Results 3.5; Fig. 5 legend | KF4 |
| evidence-hcc-5 | Functional and immune associations | Expression-based functional and immune analyses. | Subtypes differed in proliferation/metabolic programs and inferred immune characteristics. Analyses: Expression enrichment; CIBERSORT; IPS | Retrospective expression and computational evidence | IPS and immune deconvolution are not an observed immunotherapy-response trial. | Author-deposited full text: Results 3.6-3.7; Fig. 6 | KF5 |
| evidence-hcc-6 | Candidate marker interpretation | Candidate-gene expression and network prioritization. | NNMT and MARCKSL1 were among subtype-associated candidate genes. Evidence: Expression correlation and network prioritization | Retrospective expression and computational evidence | This evidence synthesis does not claim independent causal intervention or therapeutic validation of these genes. | Author-deposited full text: Results 3.8; Table 2; final PubMed abstract | KF6 |
Single-cell modules supplied the HCCcrds gene set. Analyzed cells: 11,383; Genes from modules M2/M4/M5: 562. Cells and candidate genes are not patient counts or demonstrated causal regulators.
Evidence: KF1
The score was evaluated in separate clock, feeding and sleep-reference data. Reference datasets: GSE10045; GSE150381; GSE39445. Reference-experiment evaluation does not mean HCC patients underwent longitudinal physiological circadian measurements.
Evidence: KF2
TCGA-LIHC analysis identified CS-H, CS-L and CS-M, with poorer outcomes associated with CS-H. TCGA-LIHC n: 369; Subtypes: CS-H; CS-L; CS-M. Association does not establish that circadian disruption causes liver cancer or constitute a validated clinical decision rule.
Evidence: KF3
External subtype and survival analyses used overlapping but different cohort sets. Fig. 5A datasets: ICGC_LIRI; GSE14520; GSE54236; GSE104580; Fig. 5B datasets: ICGC_LIRI; GSE14520; GSE54236; GSE27150. Do not claim that all five cohorts validated survival, or add the two four-cohort analyses as eight independent cohorts.
Evidence: KF4
Subtypes differed in proliferation/metabolic programs and inferred immune characteristics. Analyses: Expression enrichment; CIBERSORT; IPS. IPS and immune deconvolution are not an observed immunotherapy-response trial.
Evidence: KF5
NNMT and MARCKSL1 were among subtype-associated candidate genes. Evidence: Expression correlation and network prioritization. This evidence synthesis does not claim independent causal intervention or therapeutic validation of these genes.
Evidence: KF6
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