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Mathematical Biosciences and Engineering

2020, Volume 17, Issue 6: 8074-8083. doi: 10.3934/mbe.2020409
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Research article

MicroRNA expression profile and TNM staging system predict survival in patients with lung adenocarcinoma

  • Department of Oncology, Hebei Provincial Hospital, No. 348, West Heping Road, Shijiazhuang, Hebei 050051, China
  • ObjectThe current study was performed to construct a model with microRNA (miRNA/miR) expression profile and TNM staging system for prognosis predicting in patients with lung adenocarcinoma (LUAD).
    MethodsDifferentially expressed miRNAs were identified from miRNA data of LUAD in The Cancer Genome Atlas (TCGA) database. Potential prognostic miRNAs and TNM classification parameters, screened out by Cox proportional hazards regression analysis, were included in the prognostic model. The prognostic model was visualized with a nomogram, and tested by calculating the C-index and drawing the calibration curve in the training set and validating set, respectively. Finally, the prognostic miRNAs were analyzed with bioinformatics tools.
    ResultsA total of 194 differentially expressed miRNAs were identified between LUAD tissues and matched normal tissues, including 99 up-regulated and 95 down-regulated miRNAs. miRNA index (miR.index), constructed with nine miRNAs (hsa-let-7i, hsa-mir-1976, hsa-mir-199a-1, hsa-mir-31, hsa-mir-3940, hsa-mir-450a-2, hsa-mir-4677, hsa-mir-548v and hsa-mir-6803), was an independent prognostic indicator for the survival of patients with LUAD. Bioinformatics analysis suggests that the selected miRNAs are involved in the development and progress of LUAD.
    ConclusionThe prognostic model constructed with nine miRNA expression profile and TNM classification parameters can predict the survival in patients with LUAD, and the predictive power of the model are warranted for further validations.

    Citation: Guohong Xin, Xiaoci Cao, Wujie Zhao, Pintian Lv, Gang Qiu, Yaxing Li, Bin Wang, Baoshuan Fang, Yitao Jia. MicroRNA expression profile and TNM staging system predict survival in patients with lung adenocarcinoma[J]. Mathematical Biosciences and Engineering, 2020, 17(6): 8074-8083. doi: 10.3934/mbe.2020409

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  • ObjectThe current study was performed to construct a model with microRNA (miRNA/miR) expression profile and TNM staging system for prognosis predicting in patients with lung adenocarcinoma (LUAD).
    MethodsDifferentially expressed miRNAs were identified from miRNA data of LUAD in The Cancer Genome Atlas (TCGA) database. Potential prognostic miRNAs and TNM classification parameters, screened out by Cox proportional hazards regression analysis, were included in the prognostic model. The prognostic model was visualized with a nomogram, and tested by calculating the C-index and drawing the calibration curve in the training set and validating set, respectively. Finally, the prognostic miRNAs were analyzed with bioinformatics tools.
    ResultsA total of 194 differentially expressed miRNAs were identified between LUAD tissues and matched normal tissues, including 99 up-regulated and 95 down-regulated miRNAs. miRNA index (miR.index), constructed with nine miRNAs (hsa-let-7i, hsa-mir-1976, hsa-mir-199a-1, hsa-mir-31, hsa-mir-3940, hsa-mir-450a-2, hsa-mir-4677, hsa-mir-548v and hsa-mir-6803), was an independent prognostic indicator for the survival of patients with LUAD. Bioinformatics analysis suggests that the selected miRNAs are involved in the development and progress of LUAD.
    ConclusionThe prognostic model constructed with nine miRNA expression profile and TNM classification parameters can predict the survival in patients with LUAD, and the predictive power of the model are warranted for further validations.


    Since its initiation in 1979, the Canadian Applied and Industrial Mathematics Society — Société Canadienne de Mathématiques Appliquées et Industrielles (CAIMS–SCMAI) has gained a growing presence in industrial, mathematical, scientific, and technological circles within and outside of Canada. Its members contribute to state-of-the-art research in industry, natural sciences, medicine and health, finance, physics, engineering, and more. The annual meetings are a highlight of the year. CAIMS–SCMAI is an active member society of the International Council for Industrial and Applied Mathematics, which hosts the prestigious ICIAM Congresses every four years.

    Canadian Applied and Industrial Mathematics is at the forefront of scientific and technological development. We use advanced mathematics to tackle real-world problems in science and industry and develop new theories to analyse structures that arise from the modelling of real-world problems.

    Applied Mathematics has evolved from traditional applications in areas such as fluids, mechanics, and physics, to modern topics such as medicine, health, biology, data science, finance, nano-tech, etc. Its growing importance in all aspects of life, health, and management increases the need for publication venues for high-level applied and industrial mathematics. Hence CAIMS–SCMAI decided to start a scientific journal called Mathematics in Science and Industry (MSI) to add value to the discussion of applied and industrial mathematics worldwide.

    Submissions to MSI in all areas of applied and industrial mathematics are welcome (https://caims.ca/mathematics_in_science_and_industry/). We offer a timely and high-quality review process, and papers are published online as open access, with the publication fee being covered by CAIMS for the first five years.

    MSI is honored that leading experts in industrial and applied mathematics have offered their support as editors:

    Editors in Chief:

    ● Thomas Hillen (University of Alberta, thillen@ualberta.ca)

    ● Ray Spiteri (University of Saskatchewan, spiteri@cs.usask.ca)

    Associate Editors:

    ● Lia Bronsard (McMaster University)

    ● Richard Craster (Imperial College of London, UK)

    ● David Earn (McMaster University)

    ● Ronald Haynes (Memorial University)

    ● Jane Heffernan (York University)

    ● Nicholas Kevlahan (McMaster University)

    ● Yong-Jung Kim (KAIST, Korea)

    ● Mark Lewis (University of Alberta)

    ● Kevin J. Painter (Heriot-Watt University, UK)

    ● Vakhtang Putkaradze (ATCO)

    ● Katrin Rohlf (Ryerson University)

    ● John Stockie (Simon Fraser University)

    ● Jie Sun (Huawei, Hong Kong)

    ● Justin Wan (University of Waterloo)

    ● Michael Ward (University of British Columbia)

    ● Tony Ware (University of Calgary)

    ● Brian Wetton (University of British Columbia)

    The first eight papers of MSI, presented here, are published as special issue in AIMS Mathematics. They showcase a broad representation of applied mathematics that touches the interests of Canadian researchers and our many collaborators around the world. The science that we present here is not exclusively "Canadian", but we hope that through the new journal MSI, we can contribute to scientific dissemination of knowledge and add Canadian values to the scientific discussion.

    The next issue of MSI is planned for the fall of 2020 and is expected to appear again as a special issue of AIMS Mathematics.



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