Comprehensive Investigation of a Tyrosine Kinase Inhibitor-Resistant Gene <i>Zeste White 10</i> in Hepatocellular Carcinoma
Bibliographic record
Abstract
Background: Tyrosine kinase inhibitors (TKIs) are first-line therapies for hepatocellular carcinoma (HCC), but the drug resistance restricts the long-term clinical outcomes. This study aimed to investigate the expression patterns and possible clinical significance of a TKI-resistant gene zeste white 10 (ZW10) in HCC. Methods: Clustered regularly interspaced short palindromic repeats (CRISPR) screening was conducted to obtain TKI-resistant genes. Pan-cancer analysis was employed to analyze the expression landscape of the critical TKI-resistant gene ZW10. Transcriptional expression data for ZW10 were obtained from 76 centers, including 3,312 HCC samples and 2,703 noncancerous tissues. A summary receiver operating characteristic (SROC) curve was built to evaluate ZW10 expression characteristics in HCC. Unpaired two-sample Wilcoxon method was conducted to analyze ZW10 expression levels in HCC of various etiologies. Univariate Cox method was employed to assess the prognostic value of ZW10. Moreover, the gene function within HCC cell lines, the TKI treatment responses, key pathways, and tumor microenvironment of ZW10 were bioinformatically investigated. Drug prediction and molecular docking techniques were used to explore the potency of ZW10 as a novel therapeutic target. Results: The abundance of small guide RNA (sgRNA) corresponding to ZW10 gene was decreased in the whole genome CRISPR knockout library (LogFC = -1.19), indicating that ZW10 may participate in TKI resistance. The differential expression landscape of ZW10 was found in various malignancies including HCC, which was associated with poorer prognosis. Pooled standardized mean difference (SMD) of ZW10 mRNA expression was 0.47 (95% confidence interval (CI): 0.32 - 0.63), the area under SROC was 0.76 (95% CI: 0.72 - 0.79), the sensitivity was 0.63 (95% CI: 0.53 - 0.72), and the specificity was 0.77 (95% CI: 0.67 - 0.84). ZW10 was investigated significant for the growth of HCC cells. Nucleocytoplasmic transport was the possible pathway that ZW10 involved. High level of ZW10 was reversely associated with TKI responses and the abundance of immune cell infiltration. Mocetinostat and capecitabine were predicted to be the potential inhibitors targeting ZW10 with a minimum binding energy of -8.2 and -7.1 kcal/mol, respectively. Conclusions: ZW10 is considered a TKI-resistant and tumor-supportive gene, which is also a promising novel prognostic biomarker for HCC or a therapeutic target for overcoming TKI resistance.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".