Evidence map›Paper›PMID 33841635›Full record

ArticleAmerican journal of translational research2021

Synergistic anti-tumor effect of anti-PD-L1 antibody cationic microbubbles for delivery of the miR-34a gene combined with ultrasound on cervical carcinoma.

Yun Liu, Jinjun Jiang, Chaoqi Liu, Wensi Zhao, Yao Ma, Zhiwei Zheng, Qing Zhou, Yun Zhao

Open access · greenAbstract read
In one paragraph

Article in American journal of translational research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 24% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.

  1. Pooled it
  2. Molecular Ultrasound Imaging.Recent results in cancer research. Fortschritte der Krebsforschung. Progres dans les recherches sur le cancer · 2026
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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 2 institutions in 1 country.

Yun LiuEcho Laboratory, Department of Ultrasound Imaging, Renmin Hospital of Wuhan University Wuhan, China.
Jinjun JiangMedical College of China Three Gorges University Yichang, China.
Chaoqi LiuMedical College of China Three Gorges University Yichang, China.
Wensi ZhaoCancer Center, Renmin Hospital of Wuhan University Wuhan, China.
Yao MaMedical College of China Three Gorges University Yichang, China.
Zhiwei ZhengMedical College of China Three Gorges University Yichang, China.
Qing ZhouEcho Laboratory, Department of Ultrasound Imaging, Renmin Hospital of Wuhan University Wuhan, China.
Yun ZhaoMedical College of China Three Gorges University Yichang, China.
China Three Gorges University · CNWuhan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study explored the synergistic effect of anti-PD-L1 antibody cationic microbubbles (MBs) for delivery of the miR-34a gene combined with ultrasound in inhibiting the cervical cancer. H&E stain, TUNEL, immunohistochemistry and RT-PCR were used to detect the change of apoptosis regulatory factors, and immunofluorescence, Flow cytometry and LDH assays were applied to evaluate the changing of immunomodulatory. In this experiment the PD-L1 Ab/miR-34a-MBs were prepared successfully. The cell targeting assay showed that U14 cells were surrounded by the PD-L1 Ab/miR-34a-MBs and microbubbles had well contrast imaging capability in vivo. With the irradiation power was 1 W/cm

Indexed as

anti-PD-L1 antibodycervical cancermicrobubblesmiR-34aUltrasound

Identifiers

PMID33841635
PMCPMC8014418
OpenAlexW3153321333

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.