Evidence map›Paper›PMID 31853290›Full record

ArticleExperimental and therapeutic medicine2020

Dual-targeting nanomicelles with CD133 and CD44 aptamers for enhanced delivery of gefitinib to two populations of lung cancer-initiating cells.

Xiaolong Huang, Jun Wan, Dewen Leng, Yingying Zhang, Shuo Yang

Open access · diamondAbstract read
In one paragraph

Article in Experimental and therapeutic medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.0field-weighted citation impact, top 28% 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

11 citing papers in PubMed, 19 citations in OpenAlex.

  1. Review
  2. Review
  3. A Novel Aniline Derivative fromInternational journal of molecular sciences · 2023
    Article
  4. Review
  5. Review
  6. [Drug delivery · 2022
    Article
  7. Article
  8. Therapeutic Strategies for Targeting Ovarian Cancer Stem Cells.International journal of molecular sciences · 2021
    Review
  9. Review
  10. Advances in Oligonucleotide Aptamers for NSCLC Targeting.International journal of molecular sciences · 2020
    Review
  11. 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

5 authors at 3 institutions in 1 country.

Xiaolong HuangDepartment of Respiratory Medicine, Wuhan No. 1 Hospital, Wuhan, Hubei 430022, P.R. China.
Jun WanDepartment of Respiratory Medicine, Wuhan No. 1 Hospital, Wuhan, Hubei 430022, P.R. China.
Dewen LengDepartment of Critical Care Medicine, Wuhan No. 1 Hospital, Wuhan, Hubei 430022, P.R. China.
Yingying ZhangDepartment of Pharmacy, Naval Medical University, Shanghai 200433, P.R. China.
Shuo YangDepartment of Respiratory Medicine, Wuhan No. 1 Hospital, Wuhan, Hubei 430022, P.R. China.
Wuhan No.1 Hospital · CNSecond Military Medical University · CNWuhan No.9 Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lung cancer is an aggressive type of cancer that is associated with a high mortality rate. Lung cancer-initiating cells are populations of self-renewing cancer cells with pluripotent differentiation ability. Cancers typically originate from multiple phenotypically distinct cancer-initiating cells. CD133 and CD44 are specific markers that maybe used to distinguish lung cancer-initiating cells. The ability to target a variety of subsets of cancer-initiating cells instead of targeting only one population of cancer initiating-cells has the potential to increase the cancer therapeutic efficacy. In the present study, CD133 and CD44 aptamer-conjugated nanomicelles loaded with gefitinib (CD133/CD44-NM-Gef) were developed to target CD133

Indexed as

cancer-initiating cellCD133CD44gefitiniblung cancernanomicelles

Identifiers

PMID31853290
PMCPMC6909660
OpenAlexW2990988048

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.