Literature DB >> 30410400

Systematic review and meta-analysis of cancer studies evaluating diagnostic test accuracy and prognostic values: approaches to improve clinical interpretation of results.

Rama Jayaraj1, Chellan Kumarasamy2.   

Abstract

Entities:  

Year:  2018        PMID: 30410400      PMCID: PMC6199231          DOI: 10.2147/CMAR.S183181

Source DB:  PubMed          Journal:  Cancer Manag Res        ISSN: 1179-1322            Impact factor:   3.989


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Dear editor The article, “Diagnostic and prognostic value of microRNAs in cholangiocarcinoma: a systematic review and meta-analysis”, published by Sun et al in the Cancer Management and Research journal, has caught our attention.1 There are only few studies available on the subject of prognostic and diagnostic markers in cholangiocarcinoma, when compared with the literature available on other forms of cancer. For this reason, we believe that Sun et al’s study can be a valid reference point for future studies in this field. However, we have a few valid suggestions and approaches on regarding the article, which may help improve its quality, as well as its capability to inform future research. Analysis of heterogeneity between diagnostic test accuracy studies: the study by Sun et al1 has used the Chi-squared statistics to test against the null hypothesis and the I-squared statistics to study heterogeneity, but both these statistical values do not consider the threshold effect. It might be beneficial to also include the Tau-squared statistics as a part of the statistical analysis performed in this study. Tau-squared statistics is the estimated variation between the effects for test accuracy observed in different studies.2 Its inclusion in Sun et al’s study will provide a more comprehensive statistical analysis. Ubiquitous expression of miR-21 in all cancers: furthermore, the study concludes that miR-21 is a potential diagnostic and prognostic marker for cholangiocarcinoma. The issue lies in the fact that miR-21 has been found to be ubiquitously expressed in nearly all forms of cancer, with most studies concluding that miR-21 has great potential as a diagnostic marker and its expression is significantly correlated with patient survival. This ubiquitous expression of miR-21 significantly reduces the clinical utility of miR-21 as a diagnostic or prognostic marker as its expression is not specific to cholangiocarcinoma alone. As an example, we can consider Jinling et al’s study where miR-21 expression was found to be capable of predicting poor prognosis in breast cancer patients, which contradicts with Sun et al’s study where miR-21 is suggested a marker to uniquely identify cholangiocarcinoma cases.3 This is a line of discussion that must be elaborated on and included in the study by the authors, both to validate the study’s results and to serve as a reference point for future research. We believe that this is a valuable study that would better serve the scientific community if these issues were addressed and would also help maintain a high standard for similar future studies.
  3 in total

Review 1.  Prognostic value of circulating microRNA-21 for breast cancer: a systematic review and meta-analysis.

Authors:  Wang Jinling; Sun Sijing; Zhang Jie; Wang Guinian
Journal:  Artif Cells Nanomed Biotechnol       Date:  2016-08-16       Impact factor: 5.678

Review 2.  Systematic Review and Meta-Analysis of Studies Evaluating Diagnostic Test Accuracy: A Practical Review for Clinical Researchers-Part I. General Guidance and Tips.

Authors:  Kyung Won Kim; Juneyoung Lee; Sang Hyun Choi; Jimi Huh; Seong Ho Park
Journal:  Korean J Radiol       Date:  2015-10-26       Impact factor: 3.500

3.  Diagnostic and prognostic value of microRNAs in cholangiocarcinoma: a systematic review and meta-analysis.

Authors:  Chao Sun; Jie Zhu; Bin Wu; Jianlei Chen; Zhenwei Zhu; Peng Cai; Wanliang Guo; Zhicheng Gu; Jian Wang; Shungen Huang
Journal:  Cancer Manag Res       Date:  2018-07-18       Impact factor: 3.989

  3 in total
  11 in total

Review 1.  Prognostic Significance of FOXC1 in Various Cancers: A Systematic Review and Meta-Analysis.

Authors:  Nadana Sabapathi; Shanthi Sabarimurugan; Madhav Madurantakam Royam; Chellan Kumarasamy; Xingzhi Xu; Gaixia Xu; Rama Jayaraj
Journal:  Mol Diagn Ther       Date:  2019-12       Impact factor: 4.074

2.  Prognostic significance of blood inflammatory biomarkers NLR, PLR, and LMR in cancer-A protocol for systematic review and meta-analysis.

Authors:  Chellan Kumarasamy; Shanthi Sabarimurugan; Royam Madhav Madurantakam; Kartik Lakhotiya; Suja Samiappan; Siddhratha Baxi; Ramesh Nachimuthu; Kodiveri Muthukaliannan Gothandam; Rama Jayaraj
Journal:  Medicine (Baltimore)       Date:  2019-06       Impact factor: 1.817

3.  Validation of miRNA prognostic significance in stage II colorectal cancer: A protocol for systematic review and meta-analysis of observational clinical studies.

Authors:  Shanthi Sabarimurugan; Chellan Kumarasamy; Madhav Madurantakam Royam; Karthik Lakhotiya; Gothandam Kodiveri Muthukaliannan; Suja Ramalingam; Rama Jayaraj
Journal:  Medicine (Baltimore)       Date:  2019-03       Impact factor: 1.889

4.  Systematic review and meta-analysis of prognostic microRNA biomarkers for survival outcome in nasopharyngeal carcinoma.

Authors:  Shanthi Sabarimurugan; Chellan Kumarasamy; Siddhartha Baxi; Arikketh Devi; Rama Jayaraj
Journal:  PLoS One       Date:  2019-02-08       Impact factor: 3.240

5.  Diagnostic and prognostic role of HE4 expression in multiple carcinomas: A protocol for systematic review and meta-analysis.

Authors:  Chellan Kumarasamy; Madurantakam Royam Madhav; Shanthi Sabarimurugan; Kartik Lakhotiya; Venkatesh Pandey; T Priyadharshini; Siddhratha Baxi; K M Gothandam; Rama Jayaraj
Journal:  Medicine (Baltimore)       Date:  2019-07       Impact factor: 1.817

6.  Prognostic Value of miRNAs in Head and Neck Cancers: A Comprehensive Systematic and Meta-Analysis.

Authors:  Chellan Kumarasamy; Madurantakam Royam Madhav; Shanthi Sabarimurugan; Sunil Krishnan; Siddhartha Baxi; Ajay Gupta; K M Gothandam; Rama Jayaraj
Journal:  Cells       Date:  2019-07-25       Impact factor: 6.600

7.  Prognostic miRNA classifiers in t cell acute lymphoblastic leukemia: Study protocol for a systematic review and meta-analysis of observational clinical studies.

Authors:  Shanthi Sabarimurugan; Madhav Madurantakam Royam; Chellan Kumarasamy; Gothandam Kodiveri Muthukaliannan; Suja Samiappan; Rama Jayaraj
Journal:  Medicine (Baltimore)       Date:  2019-03       Impact factor: 1.889

Review 8.  Clinical Theragnostic Relationship between Drug-Resistance Specific miRNA Expressions, Chemotherapeutic Resistance, and Sensitivity in Breast Cancer: A Systematic Review and Meta-Analysis.

Authors:  Rama Jayaraj; Sankaranarayanan Gomathi Nayagam; Ananya Kar; Shubhangi Sathyakumar; Hina Mohammed; Maria Smiti; Shanthi Sabarimurugan; Chellan Kumarasamy; T Priyadharshini; K M Gothandam; N Ramesh; Ajay Gupta; Siddhartha Baxi; Suja Swamiappan; Sunil Krishnan
Journal:  Cells       Date:  2019-10-14       Impact factor: 6.600

9.  Clinical Theragnostic Potential of Diverse miRNA Expressions in Prostate Cancer: A Systematic Review and Meta-Analysis.

Authors:  Rama Jayaraj; Greg Raymond; Sunil Krishnan; Katherine S Tzou; Siddhartha Baxi; M Ravishankar Ram; Suresh Kumar Govind; Harish C Chandramoorthy; Faisal N Abu-Khzam; Peter Shaw
Journal:  Cancers (Basel)       Date:  2020-05-09       Impact factor: 6.639

10.  Molecular Investigation of miRNA Biomarkers as Chemoresistance Regulators in Melanoma: A Protocol for Systematic Review and Meta-Analysis.

Authors:  Peter Shaw; Greg Raymond; Katherine S Tzou; Siddhartha Baxi; Ravishankar Ram Mani; Suresh Kumar Govind; Harish C Chandramoorthy; Palanisamy Sivanandy; Mogana Rajagopal; Suja Samiappan; Sunil Krishnan; Rama Jayaraj
Journal:  Genes (Basel)       Date:  2022-01-08       Impact factor: 4.096

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