Evidence map›Paper›PMID 28839163›Full record

ArticleScientific reports2017

Investigation of Copper Cysteamine Nanoparticles as a New Type of Radiosensitiers for Colorectal Carcinoma Treatment.

Zhipeng Liu, Li Xiong, Guoqing Ouyang, Lun Ma, Sunil Sahi, Kunpeng Wang, Liangwu Lin, He Huang, Xiongying Miao, Wei Chen and 1 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 1 pooled it
4.1field-weighted citation impact, top 6% 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

35 citing papers in PubMed, 1 synthesis or guideline pooled it, 78 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Phototherapy in cancer treatment: strategies and challenges.Signal transduction and targeted therapy · 2025
    Review
  6. Article
  7. Review
  8. Article
  9. Review
  10. Article
  11. Article
  12. Review
  13. A Review on the Antimutagenic and Anticancer Effects of Cysteamine.Advances in pharmacological and pharmaceutical sciences · 2023
    Review
  14. Article
  15. Review
  16. Review
  17. Review
  18. Article
  19. Review
  20. Review
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

11 authors at 3 institutions in 2 countries.

Zhipeng LiuDepartment of General Surgery, Second Xiangya Hospital, Central South University, Changsha, Hunan, 410011, PR China.
Li XiongDepartment of General Surgery, Second Xiangya Hospital, Central South University, Changsha, Hunan, 410011, PR China.
Guoqing OuyangDepartment of General Surgery, Second Xiangya Hospital, Central South University, Changsha, Hunan, 410011, PR China.
Lun MaDepartment of Physics and the SAVANT Center, The University of Texas at Arlington, Arlington, Texas, 76019-0059, USA.
Sunil SahiDepartment of Physics and the SAVANT Center, The University of Texas at Arlington, Arlington, Texas, 76019-0059, USA.
Kunpeng WangDepartment of General Surgery, Second Xiangya Hospital, Central South University, Changsha, Hunan, 410011, PR China.
Liangwu LinState Key Laboratory for Powder Metallurgy, Central South University, Changsha Hunan, 410083, PR China.
He HuangDepartment of Histology and Embryology, Xiangya School of Medicine, Central South University, Changsha, Hunan, 410078, PR China.
Xiongying MiaoDepartment of General Surgery, Second Xiangya Hospital, Central South University, Changsha, Hunan, 410011, PR China.
Wei ChenDepartment of Physics and the SAVANT Center, The University of Texas at Arlington, Arlington, Texas, 76019-0059, USA. weichen@uta.edu.
Yu WenDepartment of General Surgery, Second Xiangya Hospital, Central South University, Changsha, Hunan, 410011, PR China. 1850129046@qq.com.
Central South University · CNSecond Xiangya Hospital of Central South University · CNThe University of Texas at Arlington · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Copper Cysteamine (Cu-Cy) is a new photosensitizer and a novel radiosensitizer that can be activated by light, X-ray and microwave to produce singlet oxygen for cancer treatment. However, the killing mechanism of Cu-Cy nanoparticles on cancer cells is not clear yet and Cu-Cy nanoparticles as novel radiosensitizers have never been tested on colorectal cancers. Here, for the first time, we investigate the treatment efficiency of Cu-Cy nanoparticles on SW620 colorectal cells and elucidate the underlying mechanisms of the effects. The results show that X-ray activated Cu-Cy nanoparticles may kill SW620 cancerscells is in a dose-dependent manner. The JC-1 staining shows the mitochondrial membrane potential is decreased after the treatment. The observations confirm that Cu-Cy nanoparticles may improve X-ray radiotherapy on cancer treatment and X-ray activated Cu-Cy nanoparticles can be efficiently destroy colorectal cancer cells by inducing apoptosis as well as autophagy. As a new type of radiosensitizers and photosensitizers, Cu-Cy nanoparticles have a good potential for colorectal cancer treatment and the discovery of autophagy induced by X-ray irradiated Cu-Cy nanoparticles sheds a good insight to the mechanism of Cu-Cy for cancer treatment as a new radiosensitizers.

Indexed as

CopperCysteamineMetal NanoparticlesApoptosisAutophagybcl-2-Associated X ProteinCell Line, TumorCell SurvivalColorectal NeoplasmsDose-Response Relationship, DrugHumansMembrane Potential, MitochondrialProto-Oncogene Proteins c-bcl-2Radiation-Sensitizing AgentsX-Raysbcl-2-Associated X ProteinCopperCysteamineProto-Oncogene Proteins c-bcl-2Radiation-Sensitizing Agents

Identifiers

PMID28839163
PMCPMC5570927
OpenAlexW2746637335

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.