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Letter

Metformin and Malignant Tumors: Not Over the Hill: A Short Comment [Letter]

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Pages 3839-3840 | Published online: 07 Sep 2021

Dear editor

I applaud Leng et alCitation1 for their brilliant review paper.

I, however, have some major comments. Having a glance over the reference list of sources cited, one acknowledges that the review synthesis suffers some problems. The authors have cited eight retrospective studies plus many systematic papers/meta-analyses, including some of the same retrospective studies, possibly leading to double bias. Retrospective studies may better fall within the scope of the third level of hierarchy of evidence,Citation2 but definitely are not the best evidence for mechanistic reviews.

Second, there are currently many published studies – easily accessible via online medical sources – from clinical trials, controlled clinical trials, and randomized Phase I and II studies on possible anticancer effect of metformin – which are not cited in this review paper by Leng et al.Citation1 One could certainly question whether the conclusions would have been the same if the authors had included results of these clinical trials, rather than retrospective analyses.

Third, the authors have discussed limited types of cancers and have left others unsolved. It would be an efficient strategy to revisit the main mechanisms of action of metformin in light of the emerging views on tumor heterogeneity. Most cancers/tumors share common pathologic pathways. It could be an efficient strategy if they could prepare a list of common tumorigenesis pathways in an attempt to facilitate generalization of metformin’s anticancer effect to other types of cancers. This might also facilitate the discovery of better preventive measures and therapeutic agents for the treatment/management of cancers and lead to better choice of first-line medicines in the treatment of diabetes.

Lastly, there are novel anticancer mechanisms of metformin (such as those that inhibit DNA replication machinery, suppression of cancer progression through calmodulin-like protein 3, aryl hydrocarbon receptor-interacting protein (AIP) silencing novel pathway, and cell cycle arrest at the G0/G1 phase, suppression of cell migration, and alteration of cytoskeleton distribution, just to mention a few) which are not mentioned within their updated review and could be easily found in online sources such as PubMed, Scopus, etc.

These comments apply not only to the review by Leng et al,Citation1 but more generally to all reviews and systematic reviews of metformin and its potential anticancer effects.

I suggest three feasible approaches to diminish/avoid such controversies and non-inclusive conclusions for future reviews:

(i) To select the best evidence in order to specifically answer mechanistic questions.

(i) Meta-analyzing causal mediation analysis of all related factors and data which combines evidence from multiple sources and improves power.Citation3

(iii) To adjust for rescue treatment which complicates result interpretation in clinical trials,Citation4 randomized clinical trials,Citation5 longitudinal clinical trials and in failure-time settings with competing events by choosing appropriate estimands. For proper references, see statistics textbooks such as the Wiley Encyclopedia of Clinical Trials which is available online.

I hope that my short comment will open up further discussion, and maybe help Leng et alCitation1 to enrich their magnificent diagrams by including newly-discovered mechanisms and adding a list of common tumorigenesis pathways.

Disclosure

The author has no competing or conflicts of interest in this communication.

References

  • Leng W , Jiang J , Chen B , et al. Metformin and malignant tumors: not over the hill. Diabetes Metab Syndr Obes . 2021;14:3673–3689. doi:10.2147/DMSO.S326378 34429626
  • Gulpinar O , Guclu AG . How to write a review article? Turk J Urol . 2013;39(Suppl 1):44–48. doi:10.5152/tud.2013.054 26328136
  • Zhu Y , Centorrino F , Jackson JW , et al. Meta-analysis of total effect decomposition in the presence of multiple mediators: the example of schizophrenia treatment. Epidemiology . 2021;32(1):120–130. doi:10.1097/EDE.0000000000001269 33181564
  • Ratitch B , Bell J , Mallinckrodt C , et al. Choosing estimands in clinical trials: putting the ICH E9(R1) into practice. Ther Innov Regul Sci . 2020;54(2):324–341. doi:10.1007/s43441-019-00061-x 32072573
  • Michiels H , Sotto C , Vandebosch A , et al. A novel estimand to adjust for rescue treatment in randomized clinical trials. Stat Med . 2021;40(9):2257–2271. doi:10.1002/sim.8901 33567475