Evidence map›Paper›PMID 30365511›Full record

ArticlePloS one2018

Modeling three-dimensional invasive solid tumor growth in heterogeneous microenvironment under chemotherapy.

Hang Xie, Yang Jiao, Qihui Fan, Miaomiao Hai, Jiaen Yang, Zhijian Hu, Yue Yang, Jianwei Shuai, Guo Chen, Ruchuan Liu and 1 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.5field-weighted citation impact, top 19% 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

9 citing papers in PubMed, 30 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

11 authors at 5 institutions in 2 countries.

Hang XieCollege of Physics, Chongqing University, Chongqing, China.
Yang JiaoMaterials Science and Engineering, Arizona State University, Tempe, AZ, United States of America.
Qihui FanKey Laboratory of Soft Matter Physics, Institute of Physics, Chinese Academy of Science, Beijing, China.
Miaomiao HaiCollege of Physics, Chongqing University, Chongqing, China.
Jiaen YangCollege of Physics, Chongqing University, Chongqing, China.
Zhijian HuCollege of Physics, Chongqing University, Chongqing, China.
Yue YangKey Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Thoracic Surgery II, Peking University School of Oncology, Beijing Cancer Hospital and Institute, Haidian District, Beijing, China.
Jianwei ShuaiDepartment of Physics, Xiamen University, Xiamen, China.
Guo ChenCollege of Physics, Chongqing University, Chongqing, China.
Ruchuan LiuCollege of Physics, Chongqing University, Chongqing, China.
Liyu LiuCollege of Physics, Chongqing University, Chongqing, China.ORCID 0000-0001-9784-8240
Chongqing University · CNArizona State University · USInstitute of Physics · CNPeking University · CNXiamen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A systematic understanding of the evolution and growth dynamics of invasive solid tumors in response to different chemotherapy strategies is crucial for the development of individually optimized oncotherapy. Here, we develop a hybrid three-dimensional (3D) computational model that integrates pharmacokinetic model, continuum diffusion-reaction model and discrete cell automaton model to investigate 3D invasive solid tumor growth in heterogeneous microenvironment under chemotherapy. Specifically, we consider the effects of heterogeneous environment on drug diffusion, tumor growth, invasion and the drug-tumor interaction on individual cell level. We employ the hybrid model to investigate the evolution and growth dynamics of avascular invasive solid tumors under different chemotherapy strategies. Our simulations indicate that constant dosing is generally more effective in suppressing primary tumor growth than periodic dosing, due to the resulting continuous high drug concentration. In highly heterogeneous microenvironment, the malignancy of the tumor is significantly enhanced, leading to inefficiency of chemotherapies. The effects of geometrically-confined microenvironment and non-uniform drug dosing are also investigated. Our computational model, when supplemented with sufficient clinical data, could eventually lead to the development of efficient in silico tools for prognosis and treatment strategy optimization.

Indexed as

Models, BiologicalAntineoplastic AgentsCell ProliferationHumansNeoplasm InvasivenessNeoplasmsTumor MicroenvironmentAntineoplastic Agents

Identifiers

PMID30365511
PMCPMC6203364
OpenAlexW2790076230

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.