Evidence map›Paper›PMID 35872931›Full record

ArticleComputational and mathematical methods in medicine2022

Mechanism of miR-760 Reversing Lung Cancer Immune Escape by Downregulating IDO1 and Eliminating Regulatory T Cells Based on Mathematical Biology.

Hong Ge, Lili Wang, Wenqiang Chen, Lei Wang

Open access · hybridAbstract read
In one paragraph

Article in Computational and mathematical methods in medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.8field-weighted citation impact, top 33% 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

7 citing papers in PubMed, 8 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

4 authors at 1 institution in 1 country.

Hong GePulmonary and Critical Care Medicine, Zibo Central Hospital of Shandong Province, Zibo, 255000 Shandong, China.
Lili WangPneumology Department, Chengwu Hospital, Chengwu, China.
Wenqiang ChenLaboratory Medicine, Zibo Zhoucun People's Hospital, Zibo, 255300 Shandong, China.
Lei WangDepartment of Oncology, Chengyang District People's Hospital, Qingdao, 266100 Shandong, China.ORCID https://orcid.org/0000-0003-2170-2880
Central Hospital of Zibo · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In cancer biology, mathematical models have become indispensable. They are useful for gaining a mechanistic grasp of cancer's dynamic processes. In cancer research, mathematical modelling approaches are becoming more common. The complexity of cancer is well suited to quantitative approaches as it provides challenges and opportunities for new developments (Altrock et al., 2015).

Indexed as

Carcinoma, Non-Small-Cell LungIndoleamine-Pyrrole 2,3,-DioxygenaseLung NeoplasmsMicroRNAsT-Lymphocytes, RegulatoryTumor EscapeBiologyCell Line, TumorCell MovementCell ProliferationGene Expression Regulation, NeoplasticHumansIDO1 protein, humanIndoleamine-Pyrrole 2,3,-DioxygenaseMicroRNAsMIRN760 microRNA, human

Identifiers

PMID35872931
PMCPMC9303114
OpenAlexW4285494348

What OpenQuestion holds

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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.