ecancermedicalscience

Short Communication

WHO, RECIST, and immune-related response criteria: is it time to revisit pembrolizumab results?

Felipe Ades and Nise Yamaguchi

Centro de Oncologia e Hematologia, Hospital Israelita Albert Einstein, Avenida Albert Einsten, 627/701, 3º SS—Morumbi, São Paulo—SP, CEP05652–900, Brazil

Correspondence to: Felipe Ades. Email: felipe.ades@einstein.br and felipeades@gmail.com


Abstract

In recent years, with the rise of immunotherapeutic agents for cancer treatment, we have observed a paradigm shift in oncology drug development. One common problem accompanying such paradigm shifts is how to build research strategies to fit the mechanism of action of the newer compounds. Developing immunotherapy in oncology requires us to address the unique characteristics of immunotherapeutic agents and to provide adequate tools for their evaluation, including the adjustment of clinical trial endpoints. Immunotherapy creates patterns of response different from those of chemotherapy, and thus they are not captured by the traditional World Health Organisation (WHO) tumour response criteria or the RECIST. Revisiting the results of pembrolizumab in patients with melanoma can help to evaluate the efficacy of the immune-related response criteria (irRC) as the gold standard for evaluating the clinical response of immunologic agents in oncology.

Keywords: pembrolizumab, RECIST, irRC, immune-related response criteria, WHO response criteria, melanoma

Copyright: © the authors; licensee ecancermedicalscience. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Published: 03/12/2015; Received: 29/07/2015


In 1962, a physicist introduced a concept that changed the way we perceive science. In his book ‘The Structure of Scientific Revolutions’, Thomas Kuhn postulated that science does not progress in a continuous linear way but instead undergoes periodic revolutions, which he named ‘paradigm shifts’ [1]. In recent years, with the rise of immunotherapeutic agents for cancer treatment, we have observed a paradigm shift in oncology drug development.

One common problem accompanying such paradigm shifts is how to build research strategies to fit the mechanism of action of the newer compounds. Standard drug development models and evaluation scales were created for–and well suited to–cytotoxic drugs. These drugs act by killing cancerous cells, and if effective can cause fast reduction in tumour size. The problem is that this is not the mechanism of action of many innovative drugs currently in development, including immunologic agents [2]. As stated by Hoos and colleagues, developing immunotherapy in oncology requires us to address the unique characteristics of immunotherapeutic agents and to provide adequate tools for their evaluation, including the adjustment of clinical trial endpoints [3].

The in vivo effects of immunotherapies can be divided conceptually into three phases. After a drug administration, T-cell proliferation and immune activation is observed. Thereupon over a period of weeks or months, the clinical effect of a drug can be measured by reduction in tumour size and improvement in patient’s performance. Finally, this can give rise to delayed effect on a patient’s survival, i.e. several months following the drug is administered. Immunotherapy creates patterns of response different from those of chemotherapy [3], and thus they are not captured by the traditional World Health Organisation (WHO) tumour response criteria or the RECIST (Response evaluation criteria in solid tumours) [4].

To address the need for new tools to evaluate the clinical activity of immunotherapeutic agents, a consortium of approximately 200 oncologists, immunotherapists, and regulatory experts joined forces in 2004 and 2005. This led to the development of the immune-related response criteria (irRC) [5] aiming at capturing patterns of tumour response beyond those seen with cytotoxic agents. These assess tumour burden as a continuous variable, allowing the evaluation of percentage changes in several target lesions overtime. Hence by doing so, they capture the growth kinetics of the total measurable tumour burden [5]. One of the most important differences is the concept of tumour burden and not only that of target lesions. It incorporates changes in all lesions to define the response pattern. The appearance of new lesions are evaluated in the context of all disease and not considered progressive disease per se. The irCR has also higher thresholds to determine progression or response, 25% increase and 50% decrease respectively; in comparison to RECIST that uses 20% increase and 30% decrease respectively. Table 1 compares the RECIST, the WHO, and the irRC criteria.

Pembrolizumab (formerly lambrolizumab) is monoclonal IgG4 antibody targeting the PD-1 receptor. Linking the T-cell PD-1 receptor with PD-L1, expressed by many tumour cells leads to a negative regulation of immune response. Pembrolizumab acts by avoiding this interaction, thus increasing T-cell mediated antitumour activity.

In a recent study performed by Hamid and colleagues, two doses of pembrolizumab were administered to a total of 276 patients with melanoma in two cohorts, ipilimumab-pretreated or ipilimumab-naïve. The study found that the two doses of pembrolizumab (2 mg/kg or 10 mg/kg) had similar efficacy and safety profiles in both cohorts [6].

One interesting finding of this study was the comparison of the efficacy results using the RECIST and irRC criteria. Using RECIST, the overall response rates at 2 mg/kg and 10 mg/kg were 33% and 40% respectively among the ipilimumab-naïve patients, and 26% for both doses in the ipilimumab-pretreated group. Analysing the results using the irRC criteria, these figures were 39% and 40% in the naïve group and 27% and 32% in the pretreated group respectively. Similar results occur in the analysis of progression-free survival (PFS): no difference was seen between the two dose groups. However, the analysis by irRC detected a higher number of responders: the 24-week PFS rate in the naïve cohort was 48% and 50% for the two dose levels respectively according to RECIST, and 50% and 60% for irRC. In the pretreated cohort, these figures were 37% and 44% for the two dose levels respectively according to RECIST, and 57% for both dose levels by irRC [6].

Bearing the difference of these results in mind, we would like to draw attention to a previous publication by Hamid and colleagues in the New England Journal of Medicine. In this study the investigators administered 10 mg/kg of pembrolizumab every two or three weeks or 2 mg/kg every three weeks to a similar group of patients. The results were assessed every 12 weeks according to the RECIST criteria [7].

The overall response rate was 38% (95% confidence interval [CI], 25–44), with the highest confirmed response rate observed in the 10 mg/kg cohort every two weeks (52%; 95% CI, 38–66). The response rate was similar across the ipilimumab-naïve or pretreated cohorts (38% [95% CI, 23–55] and 37% [95% CI, 26–49] respectively). Long lasting responses were seen in the majority of patients (median follow-up 11 months among patients who had shown a response), and a total of 81% of the patients who responded were still on treatment at the time of the publication [7].

This study provides another opportunity to evaluate the efficacy of irRC as response criteria. Revisiting this analysis in the framework of irRC can provide new insights into the real effect of pembrolizumab in patients with melanoma and can help to consolidate these criteria as the gold standard for evaluating the clinical response of immunologic agents in oncology. We congratulate the authors for their two important studies, and we would like to invite them to present an update of the results of their work according to the irRC criteria.

Table 1. Comparison between the RECIST 1.1, the WHO and the irRC criteria (adapted from Wolchok 2009).


References

1. Kindi V and Arabatzis T (eds) (2013) Kuhn’s The Structure of Scientific Revolutions Revisited Routledge

2. Ades F et al (2014) Anticancer drug development: moving away from the old habits Curr Opin Oncol 26(3) 334–9 DOI: 10.1097/CCO.0000000000000076 PMID: 24614094

3. Hoos A et al Improved endpoints for cancer immunotherapy trials J Natl Cancer Inst 102(18) 1388–97 [Internet] 2010 [cited 2014 Oct 25] available from: http://jnci.oxfordjournals.org/content/early/2010/09/08/jnci.djq310 DOI: 10.1093/jnci/djq310

4. Eisenhauer EA et al (2009) New response evaluation criteria in solid tumours: revised RECIST guideline (version 1.1) Eur J Cancer 45(2) 228–47 DOI: 10.1016/j.ejca.2008.10.026

5. Wolchok JD et al (2009) Guidelines for the evaluation of immune therapy activity in solid tumors: immune-related response criteria Clin Cancer Res 15(23) 7412–20 DOI: 10.1158/1078-0432.CCR-09-1624 PMID: 19934295

6. Hamid O et al (2014) Randomized comparison of two doses of the anti-PD-1 monoclonal antibody MK-3475 for ipilimumab-refractory (IPI-R) and IPI-naive (IPI-N) melanoma (MEL) J Clin Oncol [Internet] 2014 [cited 2014 Oct 25] 32 5s (suppl; abstr 3000) available from: http://meetinglibrary.asco.org/content/134788-144

7. Hamid O et al (2013) Safety and tumor responses with lambrolizumab (anti-PD-1) in melanoma N Engl J Med 369(2) 134–44 DOI: 10.1056/NEJMoa1305133

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