Evidence map›Paper›PMID 34112919›Full record

ArticleCancer gene therapy2022

Suppression of tumor growth and metastasis in Shkbp1 knockout mice.

Qing Liu, Haobin Li, Mingming Yang, Yan Mei, Ting Niu, Zeqi Zhou, Xiaohan Zhang, Xiaodong He, Lijing Wang, Jiangchao Li

Abstract read
PubMed Publisher
In one paragraph

Article in Cancer gene therapy, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
0.4field-weighted citation impact, top 41% 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

2 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. 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

10 authors at 2 institutions in 1 country.

Qing Liu *Institute of Basic Medical Sciences, School of Life Sciences and Biopharmaceutics, Guangdong Pharmaceutical University, 510006, Guangzhou, China.
Haobin Li *Institute of Basic Medical Sciences, School of Life Sciences and Biopharmaceutics, Guangdong Pharmaceutical University, 510006, Guangzhou, China.
Mingming YangInstitute of Basic Medical Sciences, School of Life Sciences and Biopharmaceutics, Guangdong Pharmaceutical University, 510006, Guangzhou, China.
Yan MeiDepartment of Pathology, Sun Yat-sen University Cancer Center, 510000, Guangzhou, China.
Ting NiuInstitute of Basic Medical Sciences, School of Life Sciences and Biopharmaceutics, Guangdong Pharmaceutical University, 510006, Guangzhou, China.
Zeqi ZhouInstitute of Basic Medical Sciences, School of Life Sciences and Biopharmaceutics, Guangdong Pharmaceutical University, 510006, Guangzhou, China.
Xiaohan ZhangInstitute of Basic Medical Sciences, School of Life Sciences and Biopharmaceutics, Guangdong Pharmaceutical University, 510006, Guangzhou, China.
Xiaodong HeInstitute of Basic Medical Sciences, School of Life Sciences and Biopharmaceutics, Guangdong Pharmaceutical University, 510006, Guangzhou, China.
Lijing WangInstitute of Basic Medical Sciences, School of Life Sciences and Biopharmaceutics, Guangdong Pharmaceutical University, 510006, Guangzhou, China. wanglijing62@163.com.
Jiangchao LiInstitute of Basic Medical Sciences, School of Life Sciences and Biopharmaceutics, Guangdong Pharmaceutical University, 510006, Guangzhou, China. lijiangchao@gdpu.edu.cn.ORCID http://orcid.org/0000-0002-0947-7580
Guangdong Pharmaceutical University · CNSun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Epidermal growth factor receptor (EGFR) is widely accepted in cancer diagnosis and targeted therapy. Shkbp1 is an upstream molecule of EGFR, which prevents EGFR degradation. However, the role of Shkbp1 in tumor remains to be clarified. Herein we induced tumor in the lungs of Shkbp1 knockout mice with chemical drugs to investigate the function of Shkbp1. Compared with wild-type mice, tumors in the lungs were significantly fewer in Shkbp1 knockout mice. To further explore the biological characteristics and functions of Shkbp1 in cancer cells, we established cell lines with overexpression and low expression of Shkbp1, respectively. Results from our experiments showed that low expression of Shkbp1 in lung cancer remarkably inhibited cancer cell migration and invasion, while overexpression of Shkbp1 promoted their migration and invasion, which indicated that Shkbp1 was closely related with tumor migration and invasion. The mRNA expression analysis of 494 matched tumor and adjacent non-tumor tissues (data derived from TCGA database) revealed that Shkbp1 was associated with the clinic TNM staging. Furthermore, immunohistochemistry (IHC) analysis of tissue microarrays showed that Shkbp1 was also correlated with lymphatic metastasis. Mechanistically, we observed that Shkbp1 was associated with epithelial-mesenchymal transition (EMT) marker. More interestingly, Shkbp1 was also expressed in a variety of immune cells, and we hereby used a subcutaneous transplantation tumor model and a metastasis model created by tail vein injection to explore whether Shkbp1 could impact tumor growth. The results showed that Shkbp1 knockout reduced tumor growth in both tumor models. In general, our results suggest that knocking out Shkbp1 in either immune cells or tumor cells could suppress tumor growth and metastasis.

Indexed as

Epithelial-Mesenchymal TransitionErbB ReceptorsAdaptor Proteins, Signal TransducingAnimalsCell Line, TumorCell MovementCell ProliferationGene Expression Regulation, NeoplasticHumansMiceMice, KnockoutNeoplasm InvasivenessNeoplasm MetastasisAdaptor Proteins, Signal TransducingErbB ReceptorsShkbp1 protein, mouse

Identifiers

PMID34112919
OpenAlexW3167933897

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.