Evidence map›Paper›PMID 33102521›Full record

ArticleFrontiers in molecular biosciences2020

Novel Survivin Peptides Screened With Computer Algorithm Induce Cytotoxic T Lymphocytes With Higher Cytotoxic Efficiency to Cancer Cells.

Qiuqiang Chen, Gang Jia, Xiaolei Zhao, Ying Bao, Yu Zhang, Cengiz Ozkan, Boris Minev, Wenxue Ma

Open access · goldAbstract read
In one paragraph

Article in Frontiers in molecular biosciences, 2020. 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
0.6field-weighted citation impact, top 35% 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, 13 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

8 authors at 6 institutions in 3 countries.

Qiuqiang ChenKey Laboratory for Translational Medicine, The First Hospital Affiliated to Huzhou University School of Medicine, Huzhou, China.
Gang JiaDepartment of Oncology, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, Zhengzhou, China.
Xiaolei ZhaoDepartment of Urology, Huaihe Hospital of Henan University, Kaifeng, China.
Ying BaoKey Laboratory for Translational Medicine, The First Hospital Affiliated to Huzhou University School of Medicine, Huzhou, China.
Yu ZhangMechanical and Automotive Engineering, School of Engineering, RMIT University, Melbourne, VIC, Australia.
Cengiz OzkanMaterials Science and Engineering Program, Department of Mechanical Engineering, University of California, Riverside, Riverside, CA, United States.
Boris MinevDepartment of Medicine, Moores Cancer Center, University of California, San Diego, La Jolla, CA, United States.
Wenxue MaDepartment of Medicine, Moores Cancer Center, University of California, San Diego, La Jolla, CA, United States.
Huzhou University · CNUniversity of California, San Diego · USHenan University Huaihe Hospital and Huaihe Clinical Institute · CNRMIT University · AUUniversity of California, Riverside · USZhengzhou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The identification of novel biomarkers and therapeutic targets in advanced cancer is critical for improving cancer diagnosis and therapeutics. Survivin (SV) is highly expressed predominantly in most cancer cells and tissues but is absent or undetectable in terminally differentiated normal adult tissues. Therefore, it functions as an almost universal tumor antigen. Peptides are short chains of amino acids linked by peptide bonds. To obtain novel SV decamers that are able to induce SV-specific cytotoxic T lymphocytes (CTLs) with a higher cytotoxic efficiency against cancer cells, major histocompatibility complex (MHC) peptide binding algorithms were conducted to predict nine modified SV

Indexed as

cancer immunotherapycytotoxic T lymphocytepeptidepolymeric nanoparticlesurvivin

Identifiers

PMID33102521
PMCPMC7496070
OpenAlexW3082292513

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.