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Reply published on 18 September 2020, see Cancers 2020, 12(9), 2673.
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Comment

Comment on: Jilkova, Z.M.; et al. “Predictive Factors for Response to PD-1/PD-L1 Checkpoint Inhibition in the Field of Hepatocellular Carcinoma: Current Status and Challenges” Cancers 2019, 11, 1554

Institute of Clinical Trials and Methodology, University College London, London WC1V 6LJ, UK
Cancers 2020, 12(9), 2670; https://doi.org/10.3390/cancers12092670
Submission received: 2 May 2020 / Accepted: 19 August 2020 / Published: 18 September 2020
I read with interest the article ‘Predictive Factors for Response to PD-1/PD-L1 Checkpoint Inhibition in the Field of Hepatocellular Carcinoma: Current Status and Challenges’ [1]. However, the authors’ assertion that ‘Certainly, high TMB and neoantigen load have been noted to predict the response to immunotherapies, including anti-PD-1 therapy (higher objective response rate and/or prolonged survival) in melanoma, non-small-cell lung carcinoma’ is not supported by the reference provided—an article by Topalian et al. [2]—which mentions neither tumour mutational burden (TMB) nor neoantigen load. A better reference might have been a retrospective review published by Goodman et al. in 2017 [3] in which 151 immunotherapy-treated patients who had undergone TMB assessment were analysed, and a linear correlation between higher TMB and better outcome parameters was identified. Nonetheless, I would also suggest that a definitive conclusion should not be based purely on a retrospective review in any case, and that a prospective study or clinical trial is needed to support inferences about the ability of TMB to predict response to PD-1 inhibitors.

References

  1. Macek Jilkova, Z.; Aspord, C.; Decaens, T. Predictive Factors for Response to PD-1/PD-L1 Checkpoint Inhibition in the Field of Hepatocellular Carcinoma: Current Status and Challenges. Cancers 2019, 11, 1554. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  2. Topalian, S.L.; Hodi, F.S.; Brahmer, J.R.; Gettinger, S.N.; Smith, D.C.; McDermott, D.F.; Powderly, J.D.; Carvajal, R.D.; Sosman, J.A.; Atkins, M.B.; et al. Safety, activity, and immune correlates of anti-PD-1 antibody in cancer. N. Engl. J. Med. 2012, 366, 2443–2454. [Google Scholar] [CrossRef] [PubMed]
  3. Goodman, A.M.; Kato, S.; Bazhenova, L.; Patel, S.P.; Frampton, G.M.; Miller, V.; Stephens, P.J.; Daniels, G.A.; Kurzrock, R. Tumor Mutational Burden as an Independent Predictor of Response to Immunotherapy in Diverse Cancers. Mol. Cancer Ther. 2017, 16, 2598–2608. [Google Scholar] [CrossRef] [PubMed] [Green Version]

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MDPI and ACS Style

Dunnigan, A. Comment on: Jilkova, Z.M.; et al. “Predictive Factors for Response to PD-1/PD-L1 Checkpoint Inhibition in the Field of Hepatocellular Carcinoma: Current Status and Challenges” Cancers 2019, 11, 1554. Cancers 2020, 12, 2670. https://doi.org/10.3390/cancers12092670

AMA Style

Dunnigan A. Comment on: Jilkova, Z.M.; et al. “Predictive Factors for Response to PD-1/PD-L1 Checkpoint Inhibition in the Field of Hepatocellular Carcinoma: Current Status and Challenges” Cancers 2019, 11, 1554. Cancers. 2020; 12(9):2670. https://doi.org/10.3390/cancers12092670

Chicago/Turabian Style

Dunnigan, Anna. 2020. "Comment on: Jilkova, Z.M.; et al. “Predictive Factors for Response to PD-1/PD-L1 Checkpoint Inhibition in the Field of Hepatocellular Carcinoma: Current Status and Challenges” Cancers 2019, 11, 1554" Cancers 12, no. 9: 2670. https://doi.org/10.3390/cancers12092670

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