Literature DB >> 30687612

High economic burden of immunotherapy underlines the need of predictive biomarkers for the individual therapy algorithm in metastatic bladder cancer.

Renate Pichler1, Wolfgang Loidl2, Martin Pichler3,4.   

Abstract

Entities:  

Year:  2018        PMID: 30687612      PMCID: PMC6323287          DOI: 10.21037/tau.2018.08.15

Source DB:  PubMed          Journal:  Transl Androl Urol        ISSN: 2223-4683


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Bladder cancer is a highly immunogenic and heterogeneous tumor (1). Its responsiveness to immunotherapy is well known since the successful introduction of intravesical BCG in 1976 (2). This procedure still is the standard adjuvant treatment for high-risk non-muscle-invasive bladder cancer (3). In 2016, five checkpoint inhibitors were approved by the US Food and Drug Administration (FDA) as second-line treatment for metastatic bladder cancer. Of these, pembrolizumab was the only drug that yielded an overall survival (OS) benefit according to the KEYNOTE-045 study (4). This novel therapeutic approach has revolutionized the care of patients with bladder cancer, transforming a highly lethal and aggressive disease into one that can be managed by persistent tumor control in some patients, a better tolerance and a better safety profile than chemotherapy (4,5). The steadily growing economic burden of immunotherapy has become a matter of concern for public and private funding agencies as well as policy makers. Validated analyses of the cost-effectiveness of immunotherapy have become a point of focus. Sarfaty et al. (6) evaluated, for the first time, the cost-effectiveness of pembrolizumab versus second-line chemotherapy (docetaxel, paclitaxel, and vinflunine only for the UK model) from the perspective of payers; four countries (United States, United Kingdom, Canada and Australia) were included in the analysis. Interestingly, prices varied significantly around the world because of diverse regulations and negotiations with drug companies; the highest costs were noted in the US (122,557 $/quality adjusted life-years). In other words, a single cycle of treatment with pembrolizumab is 15 to 50 times more expensive than chemotherapy. In view of the highest willingness-to-pay threshold (100,000 to 150,000 $/quality adjusted life-years) in the US, pembrolizumab appears to be cost-effective only in the US and not in other countries. As Sarfaty and co-workers (6) have mentioned, there may be several reasons for underestimating the survival benefit of pembrolizumab: (I) no crossover analysis was performed, although at least 12.9% of patients in the chemotherapy arm received immunotherapy as third-line treatment; (II) real-world patients may not be comparable with trial participants. Due to its lower toxicity rates, pembrolizumab will be used in the clinical setting more often in multimorbid patients with a poor performance status; (III) continuation of immunotherapy despite radiographic progression at first evaluation, as a measure to counteract “pseudo-progression”, is a common approach in many centers; the reason is that approved third-line therapies after immunotherapy do not exist at the present time. The study by Sarfaty et al. (6) underlines the urgent need for further analyses of cost-effectiveness with a comparison of all five FDA-approved (pembrolizumab, nivolumab, atezolizumab, avelumab, durvalumab) and all three EMA-approved (pembrolizumab, nivolumab, atezolizumab) second-line checkpoint inhibitors. This will be necessary before one can draw any final conclusions about the cost-effectiveness of pembrolizumab compared to avelumab, atezolizumab, nivolumab, or durvalumab. The recent introduction of checkpoint inhibitors in the management of advanced bladder cancer has expanded the range of treatment options considerably. Selection of the ideal agent for each patient and sequencing the agent in the current treatment paradigm and algorithm continue to pose a major challenge in the clinical practice. Predictive biomarkers are urgently needed not only to select those patients who are most likely to benefit from immunotherapy, but to reduce the cost of subsequent treatment. Only about a third of patients will have a sustained response to checkpoint inhibitors, independent of PD-L1 expression (4,5,7). Responses have also been noted in PD-L1-negative bladder cancer patients, thus confirming a poor negative predictive value of PD-L1 (4,5,7). Preliminary results from the ongoing KEYNOTE-361 (NCT02853305) and IMvigor130 trial (NCT02807636) showed reduced survival in the checkpoint inhibitor monotherapy arm compared with standard platinum-based chemotherapy in the first-line setting, and thus restricting immunotherapy to cisplatin-unfit patients with high PD-L1 expression (8). In non-small cell lung cancer, PD-L1 expression as a predictive marker in the second-line treatment of NSCLC increased the cost-effectiveness of immunotherapy, but with the disadvantage to reduce the number of potential life-years saved (9). Tumor mutational burden (10), APOBEC mRNA expression profiling (11,12), next-generation sequencing of cell-free circulating tumor DNA (13) and the Cancer Genome Atlas (TGCA) molecular subtyping of invasive bladder cancer (14) may brought about considerable clarity in the field of biomarker research. Of the TGCA molecular subtypes, the luminal papillary I subtype which is marked by fibroblast growth factor receptor 3 (FGFR) alterations or mutations (12,14,15) is a good example of an immunologically “cold” tumor (16). These tumors have shown no definitive response to checkpoint inhibitors and are thus no ideal candidates for checkpoint inhibitors (16); rather, they may be treated with other “targeted therapies” such as FGFR inhibitors introducing a novel targeted substance class in the treatment of metastatic bladder cancer (17). This fact has been corroborated by Joerger et al. (18) and Siefker-Radtke et al. (19), who presented their data at the ASCO annual meeting this year. The scientists evaluated the efficacy of the FGFR inhibitors rogaratinib and erdafitinib in heavily pretreated bladder cancer patients with FGFR mutations. Erdafitinib was associated with an objective response rate (ORR) of 40.4% and a median OS of 13.8 months, which is superior to that of second-line pembrolizumab (10.1 months) (4). Moreover, other targeted drugs such as enfortumab showed similar results in a phase I trial, with an overall ORR of 41% and a median OS of 13.6 months; it was also effective in patients who had undergone prior immuno-oncology therapy (ORR 40%) (20). Based on these data, erdafitinib and enfortumab are being investigated further for second- and third-line treatment of metastatic bladder cancer, with the aim of finding the right treatment algorithm for the individual patient. In the phase III THOR trial, erdafitinib is compared with pembrolizumab and chemotherapy in patients with FGFR alterations (NCT03390504). The phase III EV-301 trial focuses on enfortumab versus chemotherapy in patients who have received prior platinum-based chemotherapy and experienced disease progression during treatment with checkpoint inhibitors (NCT03474107). Finally, potent genetic and epigenetic biomarkers constitute a backbone of a promising approach to identify those patients who will most likely benefit from chemotherapy, checkpoint inhibitors or targeted therapies. The novel therapeutic approach with pan-FGFR inhibitors in metastatic bladder cancer patients with FGFR alterations or mutations represents the first step forwards for a more efficient personalized precision medicine.
  17 in total

1.  EAU Guidelines on Non-Muscle-invasive Urothelial Carcinoma of the Bladder: Update 2016.

Authors:  Marko Babjuk; Andreas Böhle; Maximilian Burger; Otakar Capoun; Daniel Cohen; Eva M Compérat; Virginia Hernández; Eero Kaasinen; Joan Palou; Morgan Rouprêt; Bas W G van Rhijn; Shahrokh F Shariat; Viktor Soukup; Richard J Sylvester; Richard Zigeuner
Journal:  Eur Urol       Date:  2016-06-17       Impact factor: 20.096

2.  Pembrolizumab as Second-Line Therapy for Advanced Urothelial Carcinoma.

Authors:  Joaquim Bellmunt; Ronald de Wit; David J Vaughn; Yves Fradet; Jae-Lyun Lee; Lawrence Fong; Nicholas J Vogelzang; Miguel A Climent; Daniel P Petrylak; Toni K Choueiri; Andrea Necchi; Winald Gerritsen; Howard Gurney; David I Quinn; Stéphane Culine; Cora N Sternberg; Yabing Mai; Christian H Poehlein; Rodolfo F Perini; Dean F Bajorin
Journal:  N Engl J Med       Date:  2017-02-17       Impact factor: 91.245

3.  Nivolumab in metastatic urothelial carcinoma after platinum therapy (CheckMate 275): a multicentre, single-arm, phase 2 trial.

Authors:  Padmanee Sharma; Margitta Retz; Arlene Siefker-Radtke; Ari Baron; Andrea Necchi; Jens Bedke; Elizabeth R Plimack; Daniel Vaena; Marc-Oliver Grimm; Sergio Bracarda; José Ángel Arranz; Sumanta Pal; Chikara Ohyama; Abdel Saci; Xiaotao Qu; Alexandre Lambert; Suba Krishnan; Alex Azrilevich; Matthew D Galsky
Journal:  Lancet Oncol       Date:  2017-01-26       Impact factor: 41.316

Review 4.  Bladder cancer.

Authors:  Ashish M Kamat; Noah M Hahn; Jason A Efstathiou; Seth P Lerner; Per-Uno Malmström; Woonyoung Choi; Charles C Guo; Yair Lotan; Wassim Kassouf
Journal:  Lancet       Date:  2016-06-23       Impact factor: 79.321

5.  Atezolizumab as first-line treatment in cisplatin-ineligible patients with locally advanced and metastatic urothelial carcinoma: a single-arm, multicentre, phase 2 trial.

Authors:  Arjun V Balar; Matthew D Galsky; Jonathan E Rosenberg; Thomas Powles; Daniel P Petrylak; Joaquim Bellmunt; Yohann Loriot; Andrea Necchi; Jean Hoffman-Censits; Jose Luis Perez-Gracia; Nancy A Dawson; Michiel S van der Heijden; Robert Dreicer; Sandy Srinivas; Margitta M Retz; Richard W Joseph; Alexandra Drakaki; Ulka N Vaishampayan; Srikala S Sridhar; David I Quinn; Ignacio Durán; David R Shaffer; Bernhard J Eigl; Petros D Grivas; Evan Y Yu; Shi Li; Edward E Kadel; Zachary Boyd; Richard Bourgon; Priti S Hegde; Sanjeev Mariathasan; AnnChristine Thåström; Oyewale O Abidoye; Gregg D Fine; Dean F Bajorin
Journal:  Lancet       Date:  2016-12-08       Impact factor: 79.321

Review 6.  Genomic sequencing for cancer diagnosis and therapy.

Authors:  Linghua Wang; David A Wheeler
Journal:  Annu Rev Med       Date:  2013-11-21       Impact factor: 13.739

7.  Small molecule FGF receptor inhibitors block FGFR-dependent urothelial carcinoma growth in vitro and in vivo.

Authors:  F R Lamont; D C Tomlinson; P A Cooper; S D Shnyder; J D Chester; M A Knowles
Journal:  Br J Cancer       Date:  2010-11-30       Impact factor: 7.640

8.  The effect of PD-L1 testing on the cost-effectiveness and economic impact of immune checkpoint inhibitors for the second-line treatment of NSCLC.

Authors:  P N Aguiar; L A Perry; J Penny-Dimri; H Babiker; H Tadokoro; R A de Mello; G L Lopes
Journal:  Ann Oncol       Date:  2017-09-01       Impact factor: 32.976

9.  Comprehensive molecular characterization of urothelial bladder carcinoma.

Authors: 
Journal:  Nature       Date:  2014-01-29       Impact factor: 49.962

10.  Correlation of Apobec Mrna Expression with overall Survival and pd-l1 Expression in Urothelial Carcinoma.

Authors:  Stephanie A Mullane; Lillian Werner; Jonathan Rosenberg; Sabina Signoretti; Marcella Callea; Toni K Choueiri; Gordon J Freeman; Joaquim Bellmunt
Journal:  Sci Rep       Date:  2016-06-10       Impact factor: 4.379

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  3 in total

1.  Nivolumab in Recurrent/Metastatic Squamous Cell Carcinoma of Head and Neck: A Tertiary Cancer Center Experience.

Authors:  Ananya Pareek; Apurva A Patel; Mukesh Kumar; Philip G Kuttikat; Harshavardhan Annadanam; Shantanu Pendse; Naseer Mohammed; Harsha P Panchal
Journal:  South Asian J Cancer       Date:  2021-12-31

2.  An Unfolded Protein Response Related Signature Could Robustly Predict Survival Outcomes and Closely Correlate With Response to Immunotherapy and Chemotherapy in Bladder Cancer.

Authors:  Facai Zhang; Dechao Feng; Xiaoming Wang; Yiwei Gu; Zhiyong Shen; Yubo Yang; Jiahao Wang; Quliang Zhong; Dengxiong Li; Huan Hu; Ping Han
Journal:  Front Mol Biosci       Date:  2021-12-23

Review 3.  Targeted Molecular Therapeutics for Bladder Cancer-A New Option beyond the Mixed Fortunes of Immune Checkpoint Inhibitors?

Authors:  Olga Bednova; Jeffrey V Leyton
Journal:  Int J Mol Sci       Date:  2020-10-01       Impact factor: 5.923

  3 in total

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