Evidence map›Paper›PMID 28163656›Full record

ArticleCancer cell international2017

Global expression profile of tumor stem-like cells isolated from MMQ rat prolactinoma cell.

Zhipeng Su, Lin Cai, Jianglong Lu, Chuzhong Li, Songbai Gui, Chunhui Liu, Chengde Wang, Qun Li, Qichuan Zhuge, Yazhuo Zhang

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Cancer cell international, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.9field-weighted citation impact, top 25% 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

6 citing papers in PubMed, 9 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Article
  5. Article
  6. RNA-Sequence Analysis Reveals Differentially Expressed Genes (DEGs) in Patients Exhibiting Different Risks of Tumor Metastasis.Medical science monitor : international medical journal of experimental and clinical research · 2017
    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 5 institutions in 1 country.

Zhipeng SuBeijing Neurosurgical Institute, Capital Medical University, Beijing, 100050 China.
Lin CaiDepartment of Neurosurgery, First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000 China.
Jianglong LuDepartment of Neurosurgery, First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000 China.
Chuzhong LiBeijing Neurosurgical Institute, Capital Medical University, Beijing, 100050 China.
Songbai GuiBeijing Neurosurgical Institute, Capital Medical University, Beijing, 100050 China.
Chunhui LiuBeijing Neurosurgical Institute, Capital Medical University, Beijing, 100050 China.
Chengde WangDepartment of Neurosurgery, First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000 China.
Qun LiDepartment of Neurosurgery, First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000 China.
Qichuan ZhugeDepartment of Neurosurgery, First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000 China.
Yazhuo ZhangBeijing Neurosurgical Institute, Capital Medical University, Beijing, 100050 China.
Beijing Institute of Neurosurgery · CNWenzhou Medical University · CNFirst Affiliated Hospital of Wenzhou Medical University · CNBeijing Tian Tan Hospital · CNNational Clinical Research Center for Digestive Diseases · CN

Funding

Prefrontal-Accumbens Glutamate and Ethanol Escalation in Adolescent and Adult C57R01AA020610 · NIAAA · UNIVERSITY OF PUERTO RICO MED SCIENCES · PI MELENDEZ, ROBERTO I · 2014 to 2018
$1.8M
NIAAA NIH HHS R01 AA020610
6 · The paper itself

Abstract

backgroundCancer stem cells (CSCs), which have been isolated from various malignancies, were closely correlated with the occurrence, progression, metastasis and recurrence of the malignant cancer. Little is known about the tumor stem-like cells (TSLCs) isolated from benign tumors. Here we want to explore the global expression profile of RNA of tumor stem-like cells isolated from MMQ rat prolactinoma cells.

methodsIn this study, total RNA was extracted from MMQ cells and MMQ tumor stem-like cells. RNA expression profiles were determined by Agilent Rat 8 × 60 K Microarray. Then we used the qRT-PCR to test the result of Microarray, and found VEGFA had a distinct pattern of expression in MMQ tumor stem-like cells. Then WB and ELISA were used to confirm the VEGFA protein level of tumor sphere cultured from both MMQ cell and human prolactinoma cell. Finally, CCK-8 was used to evaluate the reaction of MMQ tumor stem-like cells to small interfering RNAs intervention and bevacizumab treatment.

resultThe results of Microarray showed that 566 known RNA were over-expressed and 532 known RNA were low-expressed in the MMQ tumor stem-like cells. These genes were mainly involved in 15 different signaling pathways. In pathway in cancer and cell cycle, Bcl2, VEGFA, PTEN, Jun, Fos, APC2 were up-regulated and Ccna2, Cdc25a, Mcm3, Mcm6, Ccnb2, Mcm5, Cdk1, Gadd45a, Myc were down-regulated in the MMQ tumor stem-like cells. The expression of VEGFA were high in tumor spheres cultured from both MMQ cell and human prolactinomas. Down-regulation of VEGFA by small interfering RNAs partially decreased cell viability of MMQ tumor stem-like cells in vitro. Bevacizumab partially suppressed the proliferation of MMQ tumor stem-like cells.

conclusionsOur findings characterize the pattern of RNA expression of tumor stem-like cells isolated from MMQ cells. VEGFA may act as a potential therapeutic target for tumor stem-like cells of prolactinomas.

Indexed as

MicroarrayMMQ cellProlactinomaTumor stem-like cellVEGFA

Identifiers

PMID28163656
PMCPMC5282624
OpenAlexW2582506836

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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.