Stratified medicine in practice: Review of predictive biomarkers in European Medicines Agency (EMA) indications

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Stratified medicine in practice: Review of predictive biomarkers in European Medicines Agency (EMA) indications Kinga Malottki, Mousumi Biswas, Jon Deeks, Richard Riley, Charles Craddock, Lucinda Billingham 4 October 2011

Objectives What predictive biomarkers are included in drug indications in Europe? How many are there? In what therapeutic areas? What is the supporting evidence?

What is a biomarker? Biological Marker (Biomarker): A characteristic that is objectively measured and evaluated as an indicator of normal biologic processes, pathogenic processes, or pharmacologic responses to a therapeutic intervention. Controlled Clinical Trials 22:485 502 (2001)

What is a predictive biomarker? a marker that predicts the differential efficacy (benefit) of a particular therapy based on marker status Sargent DJ, JCO (2005) vol. 23, no.9, 2020-2027 measured at baseline to identify patients who are likely or unlikely to benefit from a specific treatment Simon R, Cur Breast Cancer Rep (2009) 1:216-221 used for patient selection for treatment based on the estimation of probability of response to a particular agent Alymani NA, Eur. J. Cancer (2010) 46, 869-879 separates a population with respect to the outcome of interest in response to a particular (targeted) treatment Mandrekar SJ, Clin Trials (2010) 7(5):567-73

What is a predictive biomarker? a marker that predicts the differential efficacy (benefit) of a particular therapy based on marker status Sargent DJ, JCO (2005) vol. 23, no.9, 2020-2027 measured at baseline to identify patients who are likely or unlikely to benefit from a specific treatment Simon R, Cur Breast Cancer Rep (2009) 1:216-221 used for patient selection for treatment based on the estimation of probability of response to a particular agent Alymani NA, Eur. J. Cancer (2010) 46, 869-879 separates a population with respect to the outcome of interest in response to a particular (targeted) treatment Mandrekar SJ, Clin Trials (2010) 7(5):567-73

What is a predictive biomarker? a marker that predicts the differential efficacy (benefit) of a particular therapy based on marker status Sargent DJ, JCO (2005) vol. 23, no.9, 2020-2027 measured at baseline to identify patients who are likely or unlikely to benefit from a specific treatment Simon R, Cur Breast Cancer Rep (2009) 1:216-221 used for patient selection for treatment based on the estimation of probability of response to a particular agent Alymani NA, Eur. J. Cancer (2010) 46, 869-879 separates a population with respect to the outcome of interest in response to a particular (targeted) treatment Mandrekar SJ, Clin Trials (2010) 7(5):567-73

Review of EMA indications Inclusion criteria Exclusion criteria predictive biomarker diagnostic and screening biomarkers associated with the indicated drug differential effectiveness and/or toxicity included in the EMA therapeutic indication prognostic biomarkers - unless they are also predictive biomarkers used for dose adjustments biomarkers not identified precisely in the therapeutic indication (e.g. general reference to need of genetic testing, etc.) biomarkers associated with another treatment

Review of EMA indications Database created October 2010 One entry for each drug and marketing status 704 entries in the database Trade Generic Status 1st stage name of name sifting indications potentially include a predictive biomarker Glivec imatinib authorised 2nd stage of sifting based on full EMA documentation, additional internet Glivec searches imatinib withdrawn and clinical status was unknown. advice Indication Glivec is indicated for the treatment of adult and paediatric patients with newly diagnosed 91 potentially Philadelphia include chromosome a (bcr-abl) positive (Ph+) chronic myeloid leukaemia predictive (CML) for biomarker whom bone marrow transplantation is not considered as the first line of treatment. adult and paediatric patients with Ph+ CML in chronic phase after failure of interferon-alpha therapy, or in accelerated phase or blast crisis. adult patients with newly diagnosed Philadelphia chromosome positive acute lymphoblastic leukaemia (Ph+ ALL) integrated with chemotherapy. adult patients with relapsed or refractory Ph+ ALL as monotherapy.... Glivec was to be used for the treatment of aggressive systemic mastocytosis in adults. (...) Since patients who have a mutation called D816V in the receptor protein c-kit were expected to be insensitive to Glivec, the medicine was only to be used in patients who did not have this genetic mutation, or whose mutation 20 included 15 biomarkers 18 drugs

Biomarkers not classed as predictive Diagnostic/ screening biomarker igovomab (Indimacis 125): positive diagnosis of relapsing ovarian adenocarcinoma when serum CA 125 is increased without positive results of ultrasound or computerised tomography scan Biomarker does not identify a subgroup interferon alfa-2b (IntronA): treatment of adult patients with Philadelphia chromosome or bcr/abl translocation positive chronic myelogenous leukaemia Biomarker associated with another treatment docetaxel (Docetaxel Winthrop ): in combination with trastuzumab is indicated for the treatment of patients with metastatic breast cancer whose tumours over express HER2 and who previously have not received chemotherapy for metastatic disease... Biomarker not identified precisely amprenavir (Agenerase): for the treatment of protease inhibitor (PI) experienced HIV-1 infected adults and children above the age of 4 years. Agenerase capsules should normally be administered with low dose ritonavir as a pharmacokinetic enhancer of amprenavir (see sections 4.2 and 4.5). The choice of amprenavir should be based on individual viral resistance testing and treatment history of patients...

Therapeutic area Biomarker Drug Breast neoplasms HER2 overexpression/ gene amplification oestrogen receptor trastuzumab (Herceptin) lapatinib (Tyverb) toremifene (Fareston) fulvestrant (Faslodex) Cancer Ascites EpCAM expression catumaxomab (Removab) Carcinoma, Non-Small-Cell Lung Colorectal Neoplasms EGFR mutations EGFR expression EGFR expression KRAS mutation gefitinib (Iressa) erlotinib (Tarceva) cetuximab (Erbitux) panitumumab (Vectibix) Gastrointestinal Stromal Tumors Kit (CD 117) positive imatinib mesilate (Glivec) Hypereosinophilic Syndrome FIP1L1-PDGFRα rearrangement imatinib mesilate (Glivec) Leukemia, Myelogenous, Chronic, BCR-ABL Positive Philadelphia chromosome imatinib mesilate (Glivec) dasatinib (Sprycel) nilotinib (Tasigna) Leukemia, Myeloid, Acute CD-33 gemtuzumab ozogamicin (Mylotarg) Leukemia, Promyelocytic, Acute t(15;17) translocation and/or PML/RAR-α gene arsenic trioxide (Trisenox) Mastocytosis, Systemic D816V mutation imatinib mesilate (Glivec) Myelodysplastic- Myeloproliferative Diseases Precursor Cell Lymphoblastic Leukemia-Lymphoma PDGFR gene re-arrangements Philadelphia chromosome imatinib mesilate (Glivec) imatinib mesilate (Glivec) dasatinib (Sprycel) Stomach Neoplasms HER2 overexpression/ gene amplification trastuzumab (Herceptin) HIV infection CCR5 tropism HLA-B*5701 allele maraviroc (Celsentri) abacavir/lamivudine (Kivexa) abacavir / lamivudine / zidovudine (Trizivir) abacavir (Ziagen)

Inclusion of predictive biomarkers in indication by year 10 9 8 7 6 5 4 3 2 1 0

Supporting evidence: Study designs initial review 135 studies Design Often unclear (56 studies) Most frequent: enrichment (targeted) design (58 studies) subgroup analysis (19 studies) 1 stratified design (SATURN, erlotinib for NSCLC) 1 marker-strategy design (PREDICT-1, abacavir for HIV infection) FURTHER WORK IN PROGRESS

SATURN: stratified design population: patients with nonsmall-cell lung cancer; nonprogressive after first-line chemotherapy Eligible patients (n=889) stratified by EGFR IHC: - positive (n=621) - negative (n=121) - undetermined (n=147) is erlotinib more effective in EGFR+ patients? randomisation two primary analyses: progression free survival in the overall population and in patients with EGFR IHC positive tumors erlotinib (n=438) placebo (n=451)

PREDICT-1: biomarker strategy design population: patients with HIV infection collection of samples (n=1956) is HLA-B*5701 allele associated with hypersensitivity reaction to abacavir Compare reduction in incidence of hypersensitivity reaction (experimental vs. control) HLA-B*5701 positive: no abacavir (n=55) Experimental: prospective testing for HLA-B*5701 (n=980) randomisation HLA-B*5701 negative: abacavir (n=925) Control: abacavir (n=976) retrospective testing for HLA- B*5701

Limitations Definition of a predictive biomarker Only drugs reviewed Only EMA - drugs licensed after 1995 Only indications checked biomarkers possible in contraindications Dose adjustment biomarkers were not considered relevant

Conclusions Relatively few predictive biomarkers identified Also in rare diseases Therapeutic areas limited to cancer and HIV infection Study designs mainly enrichment (targeted) design and subgroup analyses can have serious limitations Further work: examine evidence in more detail