Evidence map›Paper›PMID 27579295›Full record

ReviewOncolytic virotherapy2016

Thyroid malignant neoplasm-associated biomarkers as targets for oncolytic virotherapy.

Mingxu Guan, Yanping Ma, Sahil Rajesh Shah, Gaetano Romano

Open access · diamondAbstract readReview
In one paragraph

Review in Oncolytic virotherapy, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact, top 95% 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

3 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

4 authors at 3 institutions in 2 countries.

Mingxu GuanVirology, Research and Development, Zoetis Inc., Kalamazoo, MI, USA.
Yanping MaVirology Laboratory, Shengjing Hospital, China Medical University, Shenyang, Liaoning, People's Republic China.
Sahil Rajesh ShahDepartment of Biology, College of Science and Technology, Temple University, Philadelphia, PA, USA.
Gaetano RomanoDepartment of Biology, College of Science and Technology, Temple University, Philadelphia, PA, USA.
Temple University · USChina Medical University · CNZoetis (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biomarkers associated with thyroid malignant neoplasm (TMN) have been widely applied in clinical diagnosis and in research oncological programs. The identification of novel TMN biomarkers has greatly improved the efficacy of clinical diagnosis. A more accurate diagnosis may lead to better clinical outcomes and effective treatments. However, the major deficiency of conventional chemotherapy and radiotherapy is lack of specificity. Due to the macrokinetic interactions, adverse side effects will occur, including chemotherapy and radiotherapy resistance. Therefore, a new treatment is urgently needed. As an alternative approach, oncolytic virotherapy may represent an opportunity for treatment strategies that can more specifically target tumor cells. In most cases, viral entry requires the expression of specific receptors on the surface of the host cell. Currently, molecular virologists and gene therapists are working on engineering oncolytic viruses with altered tropism for the specific targeting of malignant cells. This review focuses on the strategy of biomarkers for the production of novel TMN oncolytic therapeutics, which may improve the specificity of targeting of tumor cells and limit adverse effects in patients.

Indexed as

biomarkersoncolytic virotherapythyroid malignancy neoplasm

Identifiers

PMID27579295
PMCPMC4996252
OpenAlexW2473780514

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.