Literature DB >> 30271198

Letter to the editor "Prognostic value of microRNAs in colorectal cancer: a meta-analysis".

Rama Jayaraj1, Chellan Kumarasamy2, K M Gothandam3.   

Abstract

Entities:  

Year:  2018        PMID: 30271198      PMCID: PMC6145637          DOI: 10.2147/CMAR.S177875

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


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Dear editor The systematic review and meta-analyses published by Gao et al1 regarding the topic of microRNAs as prognostic markers in colorectal cancer (CRC) has been of great interest to us. Although previous systematic reviews and meta-analyses highlighting the prognostic value of miRNAs as prognostic markers in CRC exist, each of those studies is primarily focused on a single miRNA per study.2,3 Gao et al,1 via this expansive study, have managed to assess and highlight the prognostic utility of a variety of miRNAs in CRC. Both miR-21 and miR-181 have been highlighted in previous studies as being potential prognostic markers, but interestingly, Gao et al’s1 study is the first to highlight miR-224 and miR-141 as strong prognostic biomarkers, specifically in CRC. Although the systematic review and meta-analysis does provide a comprehensive analysis of currently existing literature on miRNAs as prognostic markers in CRC, the pool of literature available, is itself too small to provide any conclusive evidence. This is reflected in the conclusions drawn about miR-141 as a strong prognostic marker in CRC. On first glance, the pooled hazard ratio (HR) of 2.52 (95% CI 1.68–3.77) for miR-141 indicates a strong prognostic effect; however, further observation shows that only two studies were included to generate this result. Additionally, when we consider that even more well-established prognostic indicators such as perineural invasion and high lymph node ratio are associated with HRs for poor overall survival of <2.5, the conclusions reached by Gao et al’s1 study, regarding miR-141 seem imprecise, requiring further validation.4 Furthermore, the mean effect estimate of HR is used more in meta-analysis when compared to the parameters of statistical significance and sample size of studies. This is primarily due to the binary interpretation of statistical data that statistical significance as a parameter promotes, simply indicating whether an intervention works or not. On the other hand, effect size as a parameter provides more clinical utility as it examines the validity of the intervention in a range of contexts.5 As Gao et al’s1 study focuses primarily on statistical significance as the method of comparison, we would like to suggest the inclusion of analysis based on the mean effect estimate of HR as well, so as to estimate the possible clinical utility of the presented results. We acknowledge that a systematic review and meta-analysis is defined by the quality of studies included and the issues caused by a lack of published research in the field of miRNAs as prognostic markers in CRC cannot be attributed to Gao et al1 or the meta-analysis study itself. We would simply like to indicate that the conclusions currently provided may not be considered absolute, and an updated review few years down the line with more studies included may serve to provide a more comprehensive idea regarding the topic. Dear editor Thanks for your letter to our study. To begin with, I agree with you that the pool of a small literature may lead to relatively unreliable conclusion. However, we have tried our best to collect relevant articles in the research field of colorectal cancer, and the number of them was fixed and usually limited. In addition, we are also in favor of your opinion that when it comes to perineural invasion and high lymph node ratio, the conclusions reached by us seem imprecise. This limitation is caused by the truth that we only focused on the data regarding patients’ survival results. Finally, thank you for your constructive suggestions about the inclusion of analysis based on the mean effect estimate hazard ratio. In a word, our study has several limitations which currently cannot be solved, and a larger sample size study and prospective clinical trials are urgently needed.
  4 in total

Review 1.  Prognostic value of miRNA-181a/b in colorectal cancer: a meta-analysis.

Authors:  Xingwei Gu; Rong Jin; Xuping Mao; Jun Wang; Jintao Yuan; Guodong Zhao
Journal:  Biomark Med       Date:  2017-08-25       Impact factor: 2.851

Review 2.  Systematic review and meta-analysis of the impact of tumour budding in colorectal cancer.

Authors:  A C Rogers; D C Winter; A Heeney; D Gibbons; A Lugli; G Puppa; K Sheahan
Journal:  Br J Cancer       Date:  2016-09-06       Impact factor: 7.640

3.  Prognostic role of microRNA-21 in colorectal cancer: a meta-analysis.

Authors:  Xiaochun Xia; Baixia Yang; Xiaogang Zhai; Xiangyang Liu; Kang Shen; Zhijun Wu; Jing Cai
Journal:  PLoS One       Date:  2013-11-12       Impact factor: 3.240

4.  Prognostic value of microRNAs in colorectal cancer: a meta-analysis.

Authors:  Song Gao; Zhi-Ying Zhao; Rong Wu; Yue Zhang; Zhen-Yong Zhang
Journal:  Cancer Manag Res       Date:  2018-04-30       Impact factor: 3.989

  4 in total
  11 in total

1.  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

2.  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

3.  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

4.  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

5.  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

6.  The Significance of miRNAs as a Prognostic Biomarker for Survival Outcome in T Cell - Acute Lymphoblastic Leukemia Patients: A Systematic Review and Meta-Analysis.

Authors:  Shanthi Sabarimurugan; Chellan Kumarasamy; Madurantakam Royam Madhav; Suja Samiappan; Rama Jayaraj
Journal:  Cancer Manag Res       Date:  2020-02-05       Impact factor: 3.989

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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