Evidence map›Paper›PMID 33842360›Full record

ArticleFrontiers in oncology2021

The Collective Effect of MIP-3α and FL Promotes Dendritic Cell Function Within the Immune Microenvironment of Murine Liver Cancer.

Haichao Zhao, Changzhou Chen, Xidong Chen, Chuanli Yang, Donglin Zhang, Yanjun Li, Haoliang Zhao, Jiefeng He

RetractedOpen access · goldAbstract readRetracted Publication
In one paragraph

Article in Frontiers in oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 97% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 1 institution in 1 country.

Haichao ZhaoGraduate School, Shanxi Medical University, Taiyuan, China.
Changzhou ChenGraduate School, Shanxi Medical University, Taiyuan, China.
Xidong ChenGraduate School, Shanxi Medical University, Taiyuan, China.
Chuanli YangDepartment of Hepatobiliary Surgery, Shanxi Bethune Hospital Affiliated to Shanxi Medical University, Taiyuan, China.
Donglin ZhangGraduate School, Shanxi Medical University, Taiyuan, China.
Yanjun LiGraduate School, Shanxi Medical University, Taiyuan, China.
Haoliang ZhaoGraduate School, Shanxi Medical University, Taiyuan, China.
Jiefeng HeGraduate School, Shanxi Medical University, Taiyuan, China.
Shanxi Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hepatocellular carcinoma is a highly malignant and lethal tumor. In addition to surgery, immunotherapy is currently a more effective treatment for hepatocellular carcinoma. The tumor immune microenvironment (TIME) largely determines the efficacy of cancer immunotherapy. Based on the universal targeting of TIME modulators in clinical treatment, TIME modulators are promising targets for tumor immunotherapy. We investigated the effect of a double gene expression vector (recombinant galactose-terminal glycol-poly-L-lysine coupled MIP-3α-FL) on dendritic cells (DCs) regulation within the TIME of mice with liver cancer. H22 cells were transfected with a recombinant MIP-3α-FL plasmid to induce DCs differentiation and chemotaxis. The effects of transfection were investigated by flow cytometry following the modified Boyden's method. Cytokine-induced killer (CIK) cells co-culture revealed changes in the antigen presentation ability of DCs. Further, tumor-bearing mice were injected with the recombinant double gene vector

Indexed as

dendritic cellsFLhepatocellular carcinomaMIP-3αtumor immune microenvironment

Identifiers

PMID33842360
PMCPMC8032989
OpenAlexW3145151694

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.