Evidence map›Paper›PMID 30153565›Full record

ArticleMolecular therapy. Nucleic acids2018

siRNA Knockdown of RRM2 Effectively Suppressed Pancreatic Tumor Growth Alone or Synergistically with Doxorubicin.

Shuquan Zheng, Xiaoxia Wang, Yu-Hua Weng, Xingyu Jin, Jia-Li Ji, Liangxia Guo, Bo Hu, Nan Liu, Qiang Cheng, Jianqi Zhang and 6 more

Open access · goldAbstract read
In one paragraph

Article in Molecular therapy. Nucleic acids, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
3.2field-weighted citation impact, top 7% 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

36 citing papers in PubMed, 64 citations in OpenAlex.

  1. Article
  2. Article
  3. Microrobotic Swarms for Cancer Therapy.Research (Washington, D.C.) · 2025
    Review
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  5. Article
  6. RRM2 as a novel prognostic and therapeutic target of NF1-associated MPNST.Cellular oncology (Dordrecht, Netherlands) · 2023
    Article
  7. Review
  8. Article
  9. Article
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  15. Article
  16. Pleiotropic effects of DCLK1 in cancer and cancer stem cells.Frontiers in molecular biosciences · 2022
    Review
  17. Review
  18. Article
  19. Article
  20. 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

16 authors at 3 institutions in 1 country.

Shuquan ZhengInstitute of Molecular Medicine, Peking University, Beijing 100871, China.
Xiaoxia WangInstitute of Molecular Medicine, Peking University, Beijing 100871, China.
Yu-Hua WengAdvanced Research Institute of Multidisciplinary Science and School of Life Science, Beijing Institute of Technology, Beijing 100081, China.
Xingyu JinSuzhou Ribo Life Science Co. Ltd., Jiangsu 215300, China.
Jia-Li JiSuzhou Ribo Life Science Co. Ltd., Jiangsu 215300, China.
Liangxia GuoSuzhou Ribo Life Science Co. Ltd., Jiangsu 215300, China.
Bo HuAdvanced Research Institute of Multidisciplinary Science and School of Life Science, Beijing Institute of Technology, Beijing 100081, China; Suzhou Ribo Life Science Co. Ltd., Jiangsu 215300, China.
Nan LiuSuzhou Ribo Life Science Co. Ltd., Jiangsu 215300, China.
Qiang ChengInstitute of Molecular Medicine, Peking University, Beijing 100871, China.
Jianqi ZhangAdvanced Research Institute of Multidisciplinary Science and School of Life Science, Beijing Institute of Technology, Beijing 100081, China; Suzhou Ribo Life Science Co. Ltd., Jiangsu 215300, China.
Huicheng BaiSuzhou Ribo Life Science Co. Ltd., Jiangsu 215300, China.
Tongren YangAdvanced Research Institute of Multidisciplinary Science and School of Life Science, Beijing Institute of Technology, Beijing 100081, China.
Xin-Hua XiaSchool of Pharmacy, Hunan University of Chinese Medicine, Changsha 410208, China.
Hong-Yan ZhangSuzhou Ribo Life Science Co. Ltd., Jiangsu 215300, China.
Shan GaoSuzhou Ribo Life Science Co. Ltd., Jiangsu 215300, China.
Yuanyu HuangAdvanced Research Institute of Multidisciplinary Science and School of Life Science, Beijing Institute of Technology, Beijing 100081, China. Electronic address: yyhuang@bit.edu.cn.
Beijing Institute of Technology · CNPeking University · CNHunan University of Traditional Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pancreatic cancer is currently one of the deadliest of the solid malignancies, whose incidence and death rates are increasing consistently during the past 30 years. Ribonucleotide reductase (RR) is a rate-limiting enzyme that catalyzes the formation of deoxyribonucleotides from ribonucleotides, which are essential for DNA synthesis and replication. In this study, 23 small interfering RNAs (siRNAs) against RRM2, the second subunit of RR, were designed and screened, and one of them (termed siRRM2), with high potency and good RNase-resistant capability, was selected. Transfection of siRRM2 into PANC-1, a pancreatic cell line, dramatically repressed the formation of cell colonies by inducing remarkable cell-cycle arrest at S-phase. When combining with doxorubicin (DOX), siRRM2 improved the efficacy 4 times more than applying DOX alone, suggesting a synergistic effect of siRRM2 and DOX. Moreover, the combined application of siRRM2-loaded lipid nanoparticle and DOX significantly suppressed the tumor growth on the PANC-1 xenografted murine model. The inhibition efficiency revealed by tumor weight at the endpoint of the treatment reached more than 40%. Hence, siRRM2 effectively suppressed pancreatic tumor growth alone or synergistically with DOX. This study provides a feasible target gene, a drug-viable siRNA, and a promising therapeutic potential for the treatment of pancreatic cancer.

Indexed as

combined therapydoxorubicinlipid nanoparticleLNPpancreatic cancerRNA interferenceRRM2siRNAsmall interfering RNAsynergistic effect

Identifiers

PMID30153565
PMCPMC6118156
OpenAlexW2885302348

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.