“Pass the Genetic Scalpel”: A Comprehensive Review of Clustered Regularly Interspaced Short Palindromic Repeats (CRISPR) in Urological Cancers
Bibliographic record
Abstract
Introduction: Urological cancers account for a significant portion of cancer diagnoses and mortality rates worldwide. The traditional treatment options of surgery and chemoradiation can have significant morbidity and become ineffective in refractory disease. The discovery of the CRISPR system has opened up new avenues for cancer research by targeting specific genes or mutations that play a role in cancer development and progression. In this review, we summarise the current state of research on CRISPR in urology and discuss its potential for improving the diagnosis and treatment of urological cancers. Methods: A comprehensive literature search was conducted on databases including PubMed, Embase, and Cochrane Library. The keywords included CRISPR and urology OR prostate OR renal OR bladder OR testicular cancer. Results: CRISPR has been used extensively in a preclinical setting to identify and target genes in prostate cancer, including AR, NANOG, ERβ, TP53, PTEN, and PD-1. Targeting PRRX2 and PTEN has also been shown to overcome enzalutamide and docetaxel resistance in vitro. In bladder cancer, CBP, p300, hTERT, lncRNA SNGH3, SMAD7e, and FOXA1 have been targeted, with HNRNPU knockout demonstrating tumour inhibition, increased apoptosis and enhanced cisplatin sensitivity both in vitro and in vivo. Renal cancer has seen CRISPR target VHL, TWIST1, PTEN, and CD70, with the first in-human clinical trial of Anti-CD70 CAR T cell therapy showing an excellent safety profile and durable oncological results. Lastly, testicular cancer modelling has utilised CRISPR to knockout FLNA, ASH2L, HMGB4, CD24, and VIRMA, with NAE1 found to be over-expressed in cisplatin-resistant germ cell colonies. Conclusions: CRISPR is a cutting-edge technology that has been used extensively in the pre-clinical setting to identify new genetic targets, enhance drug sensitivity, and inhibit cancer progression in animal models. Although CAR T cell therapy has shown promising results in RCC, CRISPR-based therapeutics are far from mainstream, with further studies needed across all urological malignancies.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.007 | 0.006 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".