Identification of Zinc Finger, MYM‐type 2 (ZMYM2) as a regulator of sorafenib resistance in hepatocellular carcinoma cell lines
Bibliographic record
Abstract
BACKGROUND AND AIM: Hepatocellular carcinoma (HCC) is an aggressive malignancy with a very complex molecular process. There is no successful therapy for advanced HCC at present. Recently, sorafenib has been used as a systemic therapy to improve survival in patients with advanced HCC, but increasing reports of recurrence or non-responsiveness indicate the limitations of sorafenib as a therapeutic agent. Therefore, identification of genes involved in sorafenib resistance is important to effectively treat advanced HCC. METHODS: We performed a genomic screening with a short-hairpin RNA library cassette on HCC cell lines to find genes relating resistance to sorafenib. RESULTS: Zinc finger, MYM type 2 (ZMYM2) was sequenced after three successive screens in vitro as a challengeable target. The inhibition of ZMYM2 resulted in sorafenib-resistance in formerly sensitive HCC cell lines. Immunohistochemical comparison of tumor and non-tumor regions showed stronger ZMYM2 staining intensities in non-tumor regions than in tumor regions. CONCLUSION: ZMYM2 may play an important role in sorafenib 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 | 0.000 | 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) | 0.001 | 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".