Abstract 3938: <i>In vivo</i> genome-wide CRISPR screen in pancreatic ductal adenocarcinoma defines HSPE1 as a potential oncogene by acting through G2/M cell cycle arrest
Bibliographic record
Abstract
Abstract Superior knowledge of cancer biology has enabled unprecedented innovations in therapies targeting mutated driver genes. Despite the attempt of targeting cancer-inducing genes such as KRAS, the life expectancy of patients diagnosed with pancreatic ductal adenocarcinoma (PDAC) has poorly improved. We performed an unbiased genome wide in-vivo loss-of-function CRISPR screen to discover novel oncogenes and identified heat-shock protein HSPE1, whose function is still unknown in PDAC. By decreasing HSPE1 expression with shRNA and CRISPR technology, we detected a slowdown in cell growth of PDAC cancer cells. HSPE1 knock-out cells injected in mice displayed a drastic reduction in tumor volume. We exploited this vulnerability by disrupting HSPE1 function by using KHS101, a validated HSPD1-HSPE1 complex inhibitor. Several PDAC cell lines cultured in vitro were sensitive upon KHS101 treatment and in vivo administration of KHS101 reduced tumorigenesis. Compiling the negative fitness scores from DepMap database revealed a co-dependency between HSPE1 and PLK1, a protein involved in regulating G2/M checkpoint. Indeed, we detected a protein-level decrease of PLK1 in our experimental model of PDAC cells having either a drug-induced HSPE1 deficiency by KHS101 exposure or a HSPE1 gene-expression reduction by shRNA. We found that the cell cycle was disrupted through G2/M arrest in PDAC cells treated with KHS101. Our findings highlight a new role underlying PDAC tumorigenesis for HSPE1 and could unlock a new area of research towards precision medicine. Citation Format: Julien Boudreault, Ni Wang, Gang Yan, Meiou Dai, Sophie Poulet, Girija Daliah, Jean-Jacques Lebrun. In vivo genome-wide CRISPR screen in pancreatic ductal adenocarcinoma defines HSPE1 as a potential oncogene by acting through G2/M cell cycle arrest. [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 3938.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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".