Evidence map›Paper›PMID 31036754›Full record

ArticleBiology open2019

Quantitative proteomic profiling of tumor-associated vascular endothelial cells in colorectal cancer.

Guoqiang Wang, Qiongzhi Yang, Maoyu Li, Ye Zhang, Yuxiang Cai, Xujun Liang, Ying Fu, Zhefeng Xiao, Minze Zhou, Zhongpeng Xie and 6 more

Open access · goldAbstract read
In one paragraph

Article in Biology open, 2019. 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
0.9field-weighted citation impact, top 31% 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, 20 citations in OpenAlex.

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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

16 authors at 1 institution in 1 country.

Guoqiang WangNHC Key Laboratory of Cancer Proteomics, XiangYa Hospital, Central South University, Changsha, Hunan 410008, China.ORCID http://orcid.org/0000-0002-5430-2165
Qiongzhi YangDepartment of Pathology, School of Basic Medical, Central South University, Changsha 410008, China.
Maoyu LiNHC Key Laboratory of Cancer Proteomics, XiangYa Hospital, Central South University, Changsha, Hunan 410008, China.
Ye ZhangNHC Key Laboratory of Cancer Proteomics, XiangYa Hospital, Central South University, Changsha, Hunan 410008, China.
Yuxiang CaiDepartment of Pathology, School of Basic Medical, Central South University, Changsha 410008, China.
Xujun LiangNHC Key Laboratory of Cancer Proteomics, XiangYa Hospital, Central South University, Changsha, Hunan 410008, China.
Ying FuNHC Key Laboratory of Cancer Proteomics, XiangYa Hospital, Central South University, Changsha, Hunan 410008, China.
Zhefeng XiaoNHC Key Laboratory of Cancer Proteomics, XiangYa Hospital, Central South University, Changsha, Hunan 410008, China.
Minze ZhouNHC Key Laboratory of Cancer Proteomics, XiangYa Hospital, Central South University, Changsha, Hunan 410008, China.
Zhongpeng XieDepartment of Pathology, XiangYa Hospital, Central South University, Changsha, Hunan 410008, China.
Huichao HuangNHC Key Laboratory of Cancer Proteomics, XiangYa Hospital, Central South University, Changsha, Hunan 410008, China.
Yahui HuangDepartment of Pathology, School of Basic Medical, Central South University, Changsha 410008, China.
Yongheng ChenNHC Key Laboratory of Cancer Proteomics, XiangYa Hospital, Central South University, Changsha, Hunan 410008, China.
Qiongqiong HeNHC Key Laboratory of Cancer Proteomics, XiangYa Hospital, Central South University, Changsha, Hunan 410008, China qiongqionghe@csu.edu.cn pengfang@csu.edu.cn.ORCID http://orcid.org/0000-0003-3564-3893
Fang PengNHC Key Laboratory of Cancer Proteomics, XiangYa Hospital, Central South University, Changsha, Hunan 410008, China qiongqionghe@csu.edu.cn pengfang@csu.edu.cn.
Zhuchu ChenNHC Key Laboratory of Cancer Proteomics, XiangYa Hospital, Central South University, Changsha, Hunan 410008, China.
Central South University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To investigate the global proteomic profiles of vascular endothelial cells (VECs) in the tumor microenvironment and antiangiogenic therapy for colorectal cancer (CRC), matched pairs of normal (NVECs) and tumor-associated VECs (TVECs) were purified from CRC tissues by laser capture microdissection and subjected to iTRAQ-based quantitative proteomics analysis. Here, 216 differentially expressed proteins (DEPs) were identified and used for bioinformatics analysis. Interestingly, these proteins were implicated in epithelial mesenchymal transition (EMT), ECM-receptor interaction, focal adhesion, PI3K-Akt signaling pathway, angiogenesis and HIF-1 signaling pathway, which may play important roles in CRC angiogenesis. Among these DEPs we found that Tenascin-C (TNC) was upregulated in TVECs of CRC and correlated with CRC multistage carcinogenesis and metastasis. Furthermore, the reduction of tumor-derived TNC could attenuate human umbilical vein endothelial cell (HUVEC) proliferation, migration and tube formation through ITGB3/FAK/Akt signaling pathway. Based on the present work, we provided a large-scale proteomic profiling of VECs in CRC with quantitative information, a certain number of potential antiangiogenic targets and a novel vision in the angiogenesis bio-mechanism of CRC.

Indexed as

AngiogenesisColorectal cancerQuantitative proteomicsTenascin-C

Identifiers

PMID31036754
PMCPMC6550088
OpenAlexW2951112888

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.