European consortium study on the availability of anti-neoplastic medicines

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European consortium study on the availability of anti-neoplastic medicines Nathan I Cherny Alexandru ENIU, MD, PhD Norman Levan Chair in Humanistic Chair, Emerging Countries Committee Medicine Department of Breast Tumors Dept Oncology Head, Day Hospital Unit Unit Head: Cancer pain and Cancer Institute Ion Chiricuţă palliative Medicine Shaare Zedek Medical Center Cluj-Napoca, Romania

Disparities in cancer outcomes (survival ) across Europe De Angelis, et al: Cancer survival in Europe 1999 2007 by country and age: EUROCARE-5 Lancet Oncol, 2013

Factors accounting for cancer outcomes disparities Health system infrastructure (Late) Stage at diagnosis Cancer care infrastructure (priority devices?) General population health and lifestyle Disparities in cancer care Cancer workforce Patient Access & Availability of Cancer Medication

ESMO Anti-Neoplastic Medicines Survey Perception survey to map access to cancer medicines, including WHO Essential Medicines, reporting on: Approval status ( yes/no) across Europe Informative for new drugs Reimbursement ( yes/no) Highlight differences in cancer policies Residual (out of pocket) cost to patients Delays in access due to special authorization Actual availability Drug shortage for old drugs Unavailability in the pharmacy (parallel export) for expensive drugs

Coordinating & Collaborating Partners Coordinating Organization ESMO Collaborating Project Partners 1. World Health Organization (WHO), Geneva, Switzerland 2. Union for International Cancer Control (UICC), Geneva, Switzerland 3. Institute of Cancer Policy, Kings College, London, UK 4. European Society of Oncology Pharmacists Breast Cancer Lung Cancer Colorectal Cancer Prostate Cancer Ovarian Cancer Sarcoma Pancreatic cancer Germ cell Tumors Renal cell Cancer GIST Urothelial Cancers Gastric and esophageal cancer Melanoma

Example of form :Metastatic Breast Cancer

Data reporters National representatives Known credible professionals nominated by coordinating and collaborating partners Minimum of 2 reporters for each country nominated Total 185 from 49 countries 102/185 responses from 46/49 countries Respondents 25 oncology pharmacists (22 countries) 77 oncologists 74 Academic cancer centers or hospitals

Adjuvant breast cancer: : formulary inclusion and availability : TAMOXIFEN Availability Formulary and cost to patients Availability Drug shortages affect several essential, old and inexpensive drugs (tamoxifen, doxorubicin, cisplatin, 5-FU, bleomycin ) Not an issue of resources!

Adjuvant breast cancer: formulary inclusion and cost to patients - TRASTUZUMAB

Adjuvant breast cancer: availability - TRASTUZUMAB 08/12/2015 10

Adjuvant breast cancer: preapproval required: TRASTUZUMAB

Adjuvant breast cancer (Pre-approval causing >4 weeks delay): TRASTUZUMAB

Metastatic breast cancer (formulary inclusion & cost to patients) Capecitabine Vinorelbine po Zoledronate Bevacizumab

Metastatic breast cancer (formulary inclusion and cost to patients): Anti-Her2 therapy Trastuzumab Lapatinib Pertuzumab TDM-1

Lung cancer :formulary inclusion and cost to patients: Targeted therapy Erlotinib Gefitinib Crizotinib Afatinib

Melanoma : formulary inclusion and cost to patients Ipilimumab Vemurafenib Trametinib Dabrafenib

Renal Cancer : formulary inclusion and cost to patients Temsirolimus Sunitinib Everolimus Pazopanib

The present scenario The pharmaceutical company requests marketing authorization Evaluation by EMA (high degree of transparency!) Approval by the European Commission Time 0: the new drug is effective and safe valid for whole EU Europe explodes into 28 different countries

The nightmare of the cancer medicines journey Many national commissions and expert committees-replicating at a lower level the same assessment done at the EMA stage A few HTA bodies Working on few and weak data With limited consultive value Fruitless sessions of negotiation, looking for creative/desperate strategies The problem: JUSTUM PRETIUM is utopia The price proposed by pharmaceutical companies is dramatically increasing frequently unrelated to the size of the benefit produced by the new medicine Little transparency (if any) in the way the price is decided

2 yrs 5 yrs 10 yrs

Therefore development of an ESMO Magnitude of Clinical Benefit Scale (ESMO-MCBS) ESMO Recognizes the need for clear and unbiased statements regarding the magnitude of clinical benefit from new therapeutic approaches supported by credible research Wants to highlight treatments which bring substantial improvements to the duration of survival and/or the QoL of cancer patients use the scale for accelerated: registration reimbursement evaluation incorporating ESMO-MCBS, value and cost effectiveness considerations Cherny, N et al, Ann Oncol epub 30 May 2015

Cherny, N et al, Ann Oncol epub 30 May 2015 How will the ESMO-MCBS be used? When a new anticancer drug is EMA approved, its benefit will be «scaled» by a dedicated ESMO committee Drugs which obtain the highest scores (A&B or 5&4): Curative A B C Non-curative 1. will be highlighted in the ESMO guidelines 2. represent the highest priority for rapid endorsement by national bodies across Europe 5 4 3 2 1

Cherny, N et al, Ann Oncol epub 30 May 2015 Factors taken into account for ESMO-MCBS HR, Long term survival, RR Overall survival, Progression free survival Quality of Life Prognosis of the condition Magnitude of Clinically Benefit Toxicity Costs

Evaluation form 1: for adjuvant and other treatments with curative intent Grade A >5% improved survival at 3 years follow-up Improvement in DFS alone (primary endpoint) (HR < 0.65) in studies without mature survival data Grade B 3% but 5% improvement at 3 years follow-up Improvement in DFS alone (primary endpoint) (HR 0.65-0.8) without mature survival data Non inferior OS or DFS with reduced treatment toxicity or improved QoL (with validated scales) Non inferior OS or DFS with reduced treatment cost as reported study outcome (with equivalent outcomes and risks) Grade C < 3% improvement at 3 years follow-up Improvements in DFS alone (primary endpoint) (HR > 0.8) in studies Cherny, without N mature et al, Ann survival Oncol data epub 30 May 2015 Mark with X if relevant

Evaluation form 2a: treatments with non-curative intent, primary endpoint OS IF median OS with the standard treatment is 1 year Grade 4 HR 0.65 AND Gain 3 months Increase in 2 year survival alone 10% Grade 3 HR 0.65 AND Gain 2.5-2.9 months Increase in 2 year survival alone 5- <10% Mark with X if relevant Grade 2 HR > 0.65-0.70 OR Gain 1.5-2.4 months Increase in 2 year survival alone 3- <5% Grade 1 HR > 0.70 OR Gain < 1.5 month Increase in 2 year survival alone < 3% Cherny, N et al, Ann Oncol epub 30 May 2015

Field testing Breast Cancer Medication Trial Setting Primary PFS outcome control Chemo +/- HERA (Neo)Adjuvant DFS 2 y DFS trastuzumab HER-2 positive 77.4% T-DM1 vs capecitabine + lapatinib Trastuzumab + chemo +/- pertuzumab Lapatinib +/- trastuzumab Capecitabine +/- lapatinib Eribulin vs other chemo Paclitaxel +/- bevacizumab EMILIA tumors 2 nd line metastatic after trastuzumab failure PFS & OS 6.4 m 3.2 m PFS PFS HR gain 8.4% 0.54 (0.43-0.67) 0.65 (0.55-0.77) OS control OS gain 25 m 6.8 m OS HR 0.68 Later (0.55-0.85) deterio ration CLEOPATRA 1 st line metastatic PFS 12.4 m 6 m 0.62 40.8 m 15.7 0.68 (0.52-0.84) m (0.56-0.84) EGF 104900 Geyer, 2006 3 rd line metastatic PFS 2 m 1 m 0.73 (0.57-0.93) 2 nd line metastatic after trastuzumab failure EMBRACE 3 rd line metastatic after anthracycline & taxane Miller, 2007 Exemestane BOLERO-2 Metastatic after +/- everolimus failure aromatase inhibitor+pfs >6 m PFS 4.4 m 4 m 0.49 (0.34-0.71) 9.5 m 4.5 m OS 10.6 m 2.5 m 1 st line metastatic PFS 5.9 m 5.8 m PFS 4.1 m 6.5 m 0.6 (0.51-0.70) 0.43 (0.36-0.54) 0.74 (0.57-0.97) QoL ESM0 MCBS A 5 ~ 4 4 NS 3 0.81 (0.66-0.99) 2 NS ~ 2 NS ~ 2

Cherny, N et al, Ann Oncol epub 30 May 2015 Medication Trial Setting Primary outcome Erlotinib vs carboplatin gemcitabine Erlotinib vs Pt-based chemo doublet Gefitinib vs carboplatin + paclitaxel Afatinib vs cisplatin + pemetrexed Crizotinib vs chemo Crizotinib vs cisplatin + pemetrexed OPTIMEL, CTONG- 0802 1 st line stage 3b/4 non-squamous + EGFR mutation EURTAC 1 st line stage 3b/4 non-squamous + EGFR mutation IPASS 1 st line stage 3b/4 non-squamous + EGFR mutation LUX Lung 3 Shaw 2013 Solomon 2014 Field testing Lung Cancer (1) 1 st line stage 3b/4 non-squamous + EGFR mutation PFS control PFS gain PFS HR PFS 4.6 m 8.5 m 0.16 (0.10-0.26) PFS, crossover allowed PFS, crossover allowed PFS, crossover allowed 5.2 m 4.5 m 0.37 (0.25-0.54) 6.3 m 3.3 m 0.48 (0.34-0.67) 6.9 m 4.2 m 0.58 (0.43-0.78) Del19/L858R 6.9 m 6.7 m 0.47 (0.34-0.65) 1 st line stage 3b/4 non-squamous + ALK mutation 1 st line stage 3b/4 non-squamous + ALK mutation PFS, crossover allowed 3.0 m 4.7 m 0.49 (0.37-0.64) PFS 7.0 m 3.9 m 0.45 (0.35-0.60) OS control OS HR QoL Toxicity 12% < serious adverse events 19.5 m NS 15% < severe adverse reactions ESM0 MCBS 4 4 < toxicity 4 1% > toxic death 4 4 4 4

Field testing Renal Cell Cancer version light Medication Trial Setting ESM0-MCBS Pazopanib vs sunitinib COMPARZ 1 st line metastatic with clear cell component 4 Temsirolimus vs interferon vs combined Hudes, 2007 1 st line poor-prognosis metastatic 4 Sunitinib vs interferon Motzer 2007 & 2009 1 st line metastatic 4 Axitinib vs sorafenib AXIS Previously treated metastatic 3 Everolimus vs placebo RECORD1 2 nd or 3 rd line after TKI metastatic 3 Pazopanib vs placebo Sternberg 2010 2 nd line locally advanced or metastatic 3 Interferon +/- bevacizumab AVOREN 1 st line metastatic with clear cell 3 Interferon +/- bevacizumab CALGB 90206 1 st line metastatic with clear cell 1 Cherny, N et al, Ann Oncol epub 30 May 2015

Field testing Melanoma (1) version light Medication Trial Setting ESM0-MCBS Ipilimumab +/- glycoprotein 100 vaccine vs vaccine alone Hodi 2010 Previously treated metastatic 4 Vemurafenib vs dacarbazine BRIM-3 1 st line or 2 nd line after IL-2 metastatic + BRAF V600E mutation 4 Trametinib vs dacarbazine or paclitaxel METRIC Unresectable or metastatic + BRAF V600E mutation 4* Dabrafenib +/- trametinib Flagerty 2012 1 st line unresectable or metastatic + BRAF V600E mutation 4 Dabrafenib vs dacarbazine Hauschild 2012 Grob 2014 1 st line unresectable or metastatic + BRAF V600E mutation Cherny, N et al, Ann Oncol epub 30 May 2015 4

Medication Erlotinib vs carboplatin gemcitabine Erlotinib vs Pt-based chemo doublet Gefitinib vs carboplatin + paclitaxel Afatinib vs cisplatin + pemetrexed Crizotinib vs chemo Crizotinib vs cisplatin + pemetrexed Cisplatin pemetrexed vs cisplatin gemcitabine Erlotinib vs placebo Example of using MCBS data: Lung cancer, Romania Setting 1 st line stage 3b/4 nonsquamous + EGFR mutation Primary outcome 1 st line stage 3b/4 nonsquamous + EGFR mutation crossover allowed PFS, 1 st line stage 3b/4 nonsquamous + EGFR mutation crossover PFS, allowed 1 st line stage 3b/4 nonsquamous + EGFR mutation crossover allowed PFS, 1 st line stage 3b/4 nonsquamous + ALK mutation crossover allowed PFS, 1 st line stage 3b/4 nonsquamous + ALK mutation 1 st line 3b/4 (nonsquamous) Stage 3b/4 disease ESMO- MCBS Availability and cost Preapproval (Barrier to access) PFS 4 Yes Yes 4 Yes Yes 4 No 4 No 4 No PFS 4 No PFS 4 Yes Yes PFS Yes Yes

Medication Pazopanib vs sunitinib Example of using MCBS data: Renal cancer, Romania Setting 1 st line metastatic with clear cell component Primary outcome PFS non inferiority ESM0- MCBS Availability and cost 4 No Preapproval (Barrier to access) Temsirolimus vs interferon vs combined Sunitinib vs interferon Axitinib vs sorafenib Everolimus vs placebo Pazopanib vs placebo Interferon +/- bevacizumab Interferon +/- bevacizumab 1 st line poor-prognosis metastatic OS 4 Yes Yes 1 st line metastatic PFS, crossover allowed 4 Yes Yes Previously treated metastatic 2 nd or 3 rd line after TKI metastatic 2 nd line locally advanced or metastatic 1 st line metastatic with clear cell 1 st line metastatic with clear cell PFS 3 No PFS, crossover allowed 3 No PFS, crossover allowed 3 No PFS PFS 3 Yes Yes 1 Yes Yes

Medication Ipilimumab +/- glycoprotein 100 vaccine vs vaccine alone Vemurafenib vs dacarbazine Trametinib vs dacarbazine or paclitaxel Dabrafenib +/- trametinib Dabrafenib vs dacarbazine Example of using MCBS data: Melanoma, Romania Setting Previously treated metastatic 1 st line or 2 nd line after IL-2 metastatic + BRAF V600E mutation Unresectable or metastatic + BRAF V600E mutation 1 st line unresectable or metastatic + BRAF V600E mutation 1 st line unresectable or metastatic + BRAF V600E mutation Primary outcome OS PFS and OS PFS (crossover allowed) Toxicity, PFS PFS (crossover allowed) ESM0- MCBS Availability and cost 4 No 4 No 4* No 4 No 4 No Preapproval (Barrier to access)

Medication Chemotherapy +/- trastuzumab T-DM1 vs lapatinib + capecitabine Trastuzumab + chemotherapy +/- pertuzumab Lapatinib +/- trastuzumab Capecitabine +/- lapatinib Eribulin vs other chemotherapy Paclitaxel +/- bevacizumab Exemestane +/- everolimus Example of using MCBS data: Breast cancer, Romania Setting (Neo)adjuvant HER-2 positive tumours 2nd line metastatic after trastuzumab failure Primary outcome ESMO- MCBS Availability and cost Preapproval (Barrier to access) DFS A Yes Yes PFS and OS 5 No 1st line metastatic PFS 4 No 3rd line metastatic PFS 4 No 2nd line metastatic after trastuzumab failure 3rd line metastatic after anthracycline and taxane PFS 3 No OS 2 No 1st line metastatic PFS 2 Yes Yes Metastatic after failure of aromatase inhibitor (with PFS > 6 mth) PFS 2 No

Conclusions Disparities exist across Europe in access to cancer medicines Drug shortages affect several essential, old and inexpensive drugs THIS SHOULD BE UNACCEPTABLE! Inequalities exist in availability and patient costs, especially for newer, more expensive drugs, across Europe The ESMO Magnitude of Benefit Scale, applied on the availability data (ESMO Antineoplastic Medicines Survey) can inform the process of prioritization access to medicines, when resources are limited