Evidence map›Paper›PMID 37202772›Full record

ArticleJournal of nanobiotechnology2023

Engineered extracellular vesicles mediated CRISPR-induced deficiency of IQGAP1/FOXM1 reverses sorafenib resistance in HCC by suppressing cancer stem cells.

Cong He, Doulathunnisa Jaffar Ali, Yuhua Qi, Yumin Li, Beicheng Sun, Rui Liu, Bo Sun, Zhongdang Xiao

Open access · goldAbstract read
In one paragraph

Article in Journal of nanobiotechnology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
5.8field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

19 citing papers in PubMed, 36 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Review
  5. Dual-Targeting CSC Therapy: Acid-Responsive Cisplatin/CaCOPharmaceuticals (Basel, Switzerland) · 2025
    Article
  6. Review
  7. Article
  8. Review
  9. Review
  10. Review
  11. Article
  12. Article
  13. Review
  14. Review
  15. Review
  16. Review
  17. Review
  18. Article
  19. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 5 institutions in 2 countries.

Cong He *State Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Southeast University, Nanjing, 210096, Jiangsu, China.
Doulathunnisa Jaffar Ali *State Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Southeast University, Nanjing, 210096, Jiangsu, China. dnisha16@gmail.com.
Yuhua Qi *NHC Key Laboratory of Enteric Pathogenic Microbiology, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, 210009, Jiangsu, China.
Yumin LiState Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Southeast University, Nanjing, 210096, Jiangsu, China.
Beicheng SunDepartment of Hepatobiliary Surgery, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, 210008, Jiangsu, China.
Rui LiuDepartment of Genetic Engineering, College of Natural Science, University of Suwon, Kyunggi-Do, 445-743, Republic of Korea.
Bo SunState Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Southeast University, Nanjing, 210096, Jiangsu, China. sunbo@seu.edu.cn.
Zhongdang XiaoState Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Southeast University, Nanjing, 210096, Jiangsu, China. zdxiao@seu.edu.cn.
State Key Laboratory of Digital Medical EngineeringSoutheast University · CNAnhui Medical University · CNJiangsu Provincial Center for Disease Control and Prevention · CNUniversity of Suwon · KR

Funding

Fundamental Research Funds for the Central Universities 2242016R20017Fundamental Research Funds for the Central Universities 2242018K3DN05Fundamental Research Funds for the Central Universities 2242021K10004Jiangsu Funding Program for Excellent Postdoctoral Talent 2022ZB711Jiangsu Postdoctoral Research Foundation 1601001CJiangsu Province Health Commission for Science Research H2019017Key Research & Development Program of Jiangsu Province BE2020777National Natural Science Foundation of China 81671807
6 · The paper itself

Abstract

backgroundSorafenib resistance poses therapeutic challenges in HCC treatment, in which cancer stem cells (CSCs) plays a crucial role. CRISPR/Cas9 can be utilized as a potential technique to overcome the drug resistance. However, a safe, efficient and target specific delivery of this platform remains challenging. Extracellular vesicles (EVs), the active components of cell to cell communication, hold promising benefits as delivery platform.

resultsHerein we report the normal epithelial cell -derived EVs engineered with HN3(HLC9-EVs) show competing tumor targeting ability. Anchoring HN3 to the membrane of the EVs through LAMP2, drastically increased the specific homing of HLC9-EVs to GPC3

conclusionBy reversing sorafenib resistance using combination therapeutic approach with engineered EVs encapsulated CRISPR/Cas9 and sorafenib, our study foreshadows a path for a better, accurate, reliable and successful anti-cancer therapy in the future.

Indexed as

Carcinoma, HepatocellularExtracellular VesiclesLiver NeoplasmsCell Line, TumorForkhead Box Protein M1GlypicansHumansNeoplastic Stem CellsPhosphatidylinositol 3-Kinasesras GTPase-Activating ProteinsSorafenibForkhead Box Protein M1FOXM1 protein, humanGlypicansGPC3 protein, humanIQ motif containing GTPase activating protein 1Phosphatidylinositol 3-Kinasesras GTPase-Activating ProteinsSorafenibcancer stem cellsCRISPR/Cas9Extracellular vesiclesliver cancersorafenib resistance

Identifiers

PMID37202772
PMCPMC10193671
OpenAlexW4377024279

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.