Evidence map›Paper›PMID 31093891›Full record

ArticleClinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico2020

Synergistic anti-tumor effect of paclitaxel and miR-34a combined with ultrasound microbubbles on cervical cancer in vivo and in vitro.

J Yu, Y Zhao, C Liu, B Hu, M Zhao, Y Ma, J Jiang

Abstract read
PubMed Publisher
In one paragraph

Article in Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.0field-weighted citation impact, top 14% 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

13 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
  2. Recent Advances in Cancer Immunotherapy Aided by Regulatory Non-Coding RNA: A Review.Asian Pacific journal of cancer prevention : APJCP · 2025
    Review
  3. Review
  4. Article
  5. Application of Ultrasound Combined with Microbubbles for Cancer Therapy.International journal of molecular sciences · 2022
    Review
  6. Review
  7. Article
  8. EphA2 promotes tumorigenicity of cervical cancer by up-regulating CDK6.Journal of cellular and molecular medicine · 2021
    Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. 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

7 authors at 1 institution in 1 country.

J YuMedical College of China, Hubei Key Laboratory of Tumor Microenvironment and Immunotherapy, Three Gorges University, Yichang, 443002, Hubei Province, China.ORCID http://orcid.org/0000-0001-6114-3898
Y ZhaoMedical College of China, Hubei Key Laboratory of Tumor Microenvironment and Immunotherapy, Three Gorges University, Yichang, 443002, Hubei Province, China. zhaoyun@ctgu.edu.cn.
C LiuMedical College of China, Hubei Key Laboratory of Tumor Microenvironment and Immunotherapy, Three Gorges University, Yichang, 443002, Hubei Province, China.
B HuDepartment of Ultrasonography, The Second Clinical Medical College of China, Three Gorges University, Yichang, 443002, Hubei Province, China.
M ZhaoMedical College of China, Hubei Key Laboratory of Tumor Microenvironment and Immunotherapy, Three Gorges University, Yichang, 443002, Hubei Province, China.
Y MaMedical College of China, Hubei Key Laboratory of Tumor Microenvironment and Immunotherapy, Three Gorges University, Yichang, 443002, Hubei Province, China.
J JiangMedical College of China, Hubei Key Laboratory of Tumor Microenvironment and Immunotherapy, Three Gorges University, Yichang, 443002, Hubei Province, China.
China Three Gorges University · CN

Funding

Hubei Provincial Key Laboratory of Economic Forest Germplasm Improvement and Comprehensive Utilization of Resources 2016PY052Medical College of Three Gorges University, Hubei Key Laboratory of the Tumor Microenvironment and Immunotherapy Foundation of China 2015KZL05Medical College of Three Gorges University, Hubei Key Laboratory of the Tumor Microenvironment and Immunotherapy Foundation of China 2016KZL09
6 · The paper itself

Abstract

purposeImproved therapeutic options for cervical cancer are needed. The purpose of this study was to evaluate the synergetic, inhibitory effects of ultrasound-mediated paclitaxel (PTX)- and miR-34a-loaded microbubbles (MBs) on cervical cancer.

methodsU14 cervical cancer cells and xenograft mouse tumors were treated with PTX-miR-34a-MBs.

resultsLevels of miR-34a increased in vitro and vivo after treatment with ultrasound-mediated PTX-miR-34a-MBs. Furthermore, this treatment decreased the proliferation of cervical cancer cells, microvessel density, and the expression of Bcl-2 and CDK6, both in vitro and in vivo. Furthermore, Bax expression was increased in the in vivo model. And, tumor volume and weight were significantly reduced by 78.57% and 87.97%, respectively (P < 0.01).

conclusionsThese results indicate that ultrasound-mediated PTX-miR-34a-MBs synergistically inhibit the growth of cervical cancer via the upregulation of miR-34a and downregulation of Bcl-2 and CDK6. Thus, PTX-miR-34a-MBs in combination with ultrasound microbubbles are a promising anticancer delivery strategy for treating cervical cancer.

Indexed as

Drug SynergismMicrobubblesAnimalsAntineoplastic Agents, PhytogenicApoptosisCell ProliferationCombined Modality TherapyDrug Delivery SystemsFemaleHumansIn Vitro TechniquesMiceMice, Inbred BALB CMice, NudeMicroRNAsPaclitaxelAntineoplastic Agents, PhytogenicMicroRNAsMIRN34 microRNA, humanPaclitaxelMicrobubbleMicroRNA-34aPaclitaxelUltrasoundUterine cervical

Identifiers

PMID31093891
OpenAlexW2945767665

What OpenQuestion holds

Textmetadata
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.