An Open-label Study of Trastuzumab Emtansine (T-DM1) vs Capecitabine + Lapatinib in Patients With HER2-positive Locally Advanced or Metastatic Breast Cancer (EMILIA)
This study is ongoing, but not recruiting participants.
Sponsor:
Genentech
Information provided by (Responsible Party):
Genentech
ClinicalTrials.gov Identifier:
NCT00829166
First received: January 22, 2009
Last updated: April 22, 2013
Last verified: April 2013
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Purpose
This is a Phase III, randomized, multicenter, international, 2-arm, open-label clinical trial designed to compare the safety and efficacy of trastuzumab emtansine (T-DM1) with that of capecitabine + lapatinib for HER2-positive metastatic breast cancer (MBC). Patients were treated until disease progression, unmanageable toxicity, or study termination. Once disease progression was reported, all patients were followed for survival every 3 months until death, loss to follow-up, withdrawal of consent, or study termination.
| Condition | Intervention | Phase |
|---|---|---|
|
Breast Cancer |
Drug: Trastuzumab emtansine [Kadcyla] Drug: Lapatinib Drug: Capecitabine |
Phase 3 |
| Study Type: | Interventional |
| Study Design: | Allocation: Randomized Endpoint Classification: Safety/Efficacy Study Intervention Model: Parallel Assignment Masking: Open Label Primary Purpose: Treatment |
| Official Title: | A Randomized, Multicenter, Phase III Open-label Study of the Efficacy and Safety of Trastuzumab Emtansine vs. Capecitabine + Lapatinib in Patients With HER2-positive Locally Advanced or Metastatic Breast Cancer Who Have Received Prior Trastuzumab-based Therapy |
Resource links provided by NLM:
Genetics Home Reference related topics:
breast cancer
Drug Information available for:
Capecitabine
Trastuzumab
Lapatinib
Lapatinib Ditosylate
Trastuzumab emtansine
U.S. FDA Resources
Further study details as provided by Genentech:
Primary Outcome Measures:
- Progression-free Survival (PFS) Assessed by an Independent Review Committee [ Time Frame: From the date of randomization through the data cut-off date of 14 Jan 2012 (up to 2 years, 11 months) ] [ Designated as safety issue: No ]PFS was defined as the time from randomization to progressive disease (PD) or death from any cause, whichever occurred earlier. All measurable lesions up to a maximum of 5 per organ and 10 in total, representative of all involved organs, should be identified as target lesions (TL) and recorded and measured at baseline. TLs should be selected on the basis of their size (those with the longest diameter) and their suitability for accurate repeated measurements either by imaging or clinically. A sum of the longest diameter for all TLs will be calculated and reported as the baseline sum longest diameter (SLD). All other lesions (or sites of disease) should be identified as non-TLs and recorded at baseline. PD for TLs was defined as ≥ 20% increase in the SLD, taking as reference the smallest SLD recorded since treatment started or the appearance of 1 or more new lesions. PD for non-TLs was defined as the appearance of 1 or more new lesions and/or unequivocal progression of existing non-TLs.
- Overall Survival [ Time Frame: From the date of randomization through the data cut-off date of 31 Jul 2012 (up to 3 years, 5 months) ] [ Designated as safety issue: No ]Overall survival was defined as the time from the date of randomization to the date of death from any cause. The results reported are from an interim analysis; results from the final analysis will be reported when the study is completed.
- 1 and 2 Year Survival [ Time Frame: From the date of randomization through the data cut-off date of 31 Jul 2012 (up to 3 years, 5 months) ] [ Designated as safety issue: No ]1 and 2 year survival were defined as the percentage of patients alive 1 and 2 years after starting treatment.
Secondary Outcome Measures:
- Progression-free Survival (PFS) Assessed by the Investigator [ Time Frame: From the date of randomization through the data cut-off date of 14 Jan 2012 (up to 2 years, 11 months) ] [ Designated as safety issue: No ]PFS was defined as the time from randomization to progressive disease (PD) or death from any cause, whichever occurred earlier. PD for TLs was defined as ≥ 20% increase in the SLD, taking as reference the smallest SLD recorded since treatment started or the appearance of 1 or more new lesions. PD for non-TLs was defined as the appearance of 1 or more new lesions and/or unequivocal progression of existing non-TLs.
- Objective Response (OR) Assessed by the Independent Review Committee [ Time Frame: From the date of randomization through the data cut-off date of 14 Jan 2012 (up to 2 years, 11 months) ] [ Designated as safety issue: No ]OR was defined as the percentage of patients with a complete response (CR) or partial response (PR). For TLs, a CR was defined as the disappearance of all TLs and a PR was defined as ≥ 30% decrease in the SLD of TLs, taking as reference the baseline SLD. For non-TLs, a CR was defined as the disappearance of all non-TLs and a PR was defined as the persistence of 1 or more non-TLs.
- Duration of Objective Response (OR) [ Time Frame: From the date of randomization through the data cut-off date of 14 Jan 2012 (up to 2 years, 11 months) ] [ Designated as safety issue: No ]Duration of OR was defined as the time from first documented OR to first documented progressive disease (PD) or death from any cause, whichever occurred earlier. PD for target lesions was defined as ≥ 20% increase in the sum of the longest diameter, taking as reference the smallest sum longest diameter recorded since treatment started or the appearance of 1 or more new lesions. PD for non-target lesions was defined as the appearance of 1 or more new lesions and/or unequivocal progression of existing non-target lesions.
- Clinical Benefit [ Time Frame: 6 months after randomization ] [ Designated as safety issue: No ]Clinical benefit was defined as the percentage of patients with a complete response (CR), partial response (PR), or stable disease (SD) at 6 months after randomization. For target lesions a CR was defined as the disappearance of all target lesions, a PR was defined as ≥ 30% decrease in the sum of the longest diameter of target lesions, taking as reference the baseline sum longest diameter, and SD was defined as neither sufficient shrinkage to qualify for PR nor sufficient increase to qualify for PD. For non-target lesions, a CR was defined as the disappearance of all non-target lesions and a PR was defined as the persistence of 1 or more non-target lesions, and SD was defined as the persistence of 1 or more non-target lesion.
- Time to Treatment Failure [ Time Frame: From the date of randomization through the data cut-off date of 14 Jan 2012 (up to 2 years, 11 months) ] [ Designated as safety issue: No ]Time to treatment failure was defined as the time from randomization to discontinuation of treatment for any reason, including progressive disease (PD), treatment toxicity, or death from any cause. PD for target lesions was defined as ≥ 20% increase in the sum of the longest diameter, taking as reference the smallest sum longest diameter recorded since treatment started or the appearance of 1 or more new lesions. PD for non-target lesions was defined as the appearance of 1 or more new lesions and/or unequivocal progression of existing non-target lesions.
- Time to Symptom Progression [ Time Frame: From the date of randomization through the data cut-off date of 14 Jan 2012 (up to 2 years, 11 months) ] [ Designated as safety issue: No ]Time to symptom progression was defined as the time from randomization to the first symptom progression as measured by the Functional Assessment of Cancer Therapy-for patients with Breast Cancer (FACT-B) questionnaire with the Trial Outcomes Index-Physical/Functional/Breast (TOI-PFB) subscale. The FACT-B TOI-PFB subscale contains 24 items from 3 subsections of the FACT-B questionnaire: Physical well-being, functional well-being, and additional concerns for breast cancer patients (breast cancer subscale [BCS]). All items in the questionnaire were rated by the patient on a 5-point scale ranging from 0 ("not at all") to 4 ("very much"). The total score ranged from 0 to 96. A higher score indicates better perceived quality of life. A positive change score from baseline indicates improvement. Symptom progression was defined as a decrease from baseline of 5 points or more.
| Enrollment: | 991 |
| Study Start Date: | February 2009 |
| Estimated Study Completion Date: | April 2014 |
| Primary Completion Date: | July 2012 (Final data collection date for primary outcome measure) |
| Arms | Assigned Interventions |
|---|---|
|
Experimental: Trastuzumab emtansine
Patients received trastuzumab emtansine 3.6 mg/kg intravenously (IV) over 30-90 minutes on Day 1 of each 21-day treatment cycle.
|
Drug: Trastuzumab emtansine [Kadcyla]
Trastuzumab emtansine was provided as a single-use lyophilized formulation.
Other Names:
|
|
Active Comparator: Lapatinib + capecitabine
Patients received lapatinib 1250 mg/day orally once per day of each 21-day cycle + capecitabine 1000 mg/m^2 orally twice daily on Days 1-14 of each 21-day treatment cycle.
|
Drug: Lapatinib
Lapatinib was available as film-coated tablets.
Other Name: Tykerb
Drug: Capecitabine
Capecitabine was available as film-coated tablets.
Other Name: Xeloda
|
Eligibility| Ages Eligible for Study: | 18 Years and older |
| Genders Eligible for Study: | Both |
| Accepts Healthy Volunteers: | No |
Criteria
Inclusion Criteria:
- (Human epidermal growth factor receptor 2 (HER2) status must be prospectively, centrally tested and be HER2-positive based on central laboratory assay results.
- Histologically or cytologically confirmed invasive breast cancer.
- Prior treatment for breast cancer in the adjuvant, unresectable, locally advanced, or metastatic setting must include both a taxane, alone or in combination with another agent, and trastuzumab, alone or in combination with another agent.
- Documented progression of incurable, unresectable, locally advanced or metastatic breast cancer, defined by the investigator.
- Measurable and/or nonmeasurable disease; patients with central nervous system (CNS)-only disease are excluded.
- Cardiac ejection fraction ≥ 50% by either echocardiogram (ECHO) or multi-gated acquisition (MUGA) scan.
- Eastern Cooperative Oncology Group (ECOG) performance status of 0 or 1.
- For women of childbearing potential and men with partners of childbearing potential, agreement to use a highly effective, non-hormonal form of contraception; contraception use should continue for the duration of the study treatment and for at least 6 months after the last dose of study treatment.
Exclusion Criteria:
- History of treatment with trastuzumab emtansine (T-DM1).
- Prior treatment with lapatinib or capecitabine.
- Peripheral neuropathy of Grade ≥ 3 per National Cancer Institute Common Terminology Criteria for Adverse Events (NCI-CTCAE), Version 3.0.
- History of other malignancy within the last 5 years, except for appropriately treated carcinoma in situ of the cervix, non-melanoma skin carcinoma, Stage 1 uterine cancer, synchronous or previously diagnosed HER2-positive breast cancer, or cancers with a similar curative outcome as those mentioned above.
- History of receiving any anti-cancer drug/biologic or investigational treatment within 21 days prior to randomization except hormone therapy, which could be given up to 7 days prior to randomization; recovery of treatment-related toxicity consistent with other eligibility criteria.
- History of radiation therapy within 14 days of randomization.
- Brain metastases that are untreated, symptomatic, or require therapy to control symptoms, as well as any history of radiation, surgery, or other therapy, including steroids, to control symptoms from brain metastases within 2 months (60 days) of randomization.
- History of symptomatic congestive heart failure (CHF) or serious cardiac arrhythmia requiring treatment.
- History of myocardial infarction or unstable angina within 6 months of randomization.
- Current dyspnea at rest due to complications of advanced malignancy or current requirement for continuous oxygen therapy.
- Current severe, uncontrolled systemic disease (eg, clinically significant cardiovascular, pulmonary, or metabolic disease).
- Pregnancy or lactation.
- Current known active infection with human immunodeficiency virus (HIV), hepatitis B virus, or hepatitis C virus.
- Presence of conditions that could affect gastrointestinal absorption: Malabsorption syndrome, resection of the small bowel or stomach, and ulcerative colitis.
- History of intolerance (such as Grade 3-4 infusion reaction) to trastuzumab.
- Known hypersensitivity to 5-fluorouracil or known dihydropyrimidine dehydrogenase deficiency.
- Current treatment with sorivudine or its chemically related analogs, such as brivudine.
Contacts and Locations
Please refer to this study by its ClinicalTrials.gov identifier: NCT00829166
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| United States, Arizona | |
| Chandler, Arizona, United States, 85224 | |
| Tucson, Arizona, United States, 85719 | |
| United States, California | |
| Anaheim, California, United States, 92807 | |
| Anaheim, California, United States, 92801 | |
| Bakersfield, California, United States, 93309 | |
| Baldwin Park, California, United States, 91706 | |
| Bellflower, California, United States, 90706 | |
| Duarte, California, United States, 91010 | |
| Fontana, California, United States, 92335 | |
| Hayward, California, United States, 94545 | |
| Irvine, California, United States, 92618 | |
| La Jolla, California, United States, 92093 | |
| La Mesa, California, United States, 91942 | |
| Loma Linda, California, United States, 92354 | |
| Long Beach, California, United States, 90806 | |
| Los Angeles, California, United States, 90057 | |
| Los Angeles, California, United States, 90034 | |
| Los Angeles, California, United States, 90095-1772 | |
| Los Angeles, California, United States, 90025 | |
| Montebello, California, United States, 90640 | |
| Newport Beach, California, United States, 92660 | |
| Oakland, California, United States, 94611 | |
| Panorama City, California, United States, 91402 | |
| Riverside, California, United States, 92505 | |
| Roseville, California, United States, 95661 | |
| Sacramento, California, United States, 95825 | |
| San Diego, California, United States, 92123 | |
| San Diego, California, United States, 92120 | |
| San Francisco, California, United States, 94115 | |
| San Jose, California, United States, 95119 | |
| Santa Clara, California, United States, 95051 | |
| Santa Maria, California, United States, 93454 | |
| Santa Monica, California, United States, 90404 | |
| South San Francisco, California, United States, 94080 | |
| Thousand Oaks, California, United States, 91360 | |
| Vallejo, California, United States, 94589 | |
| Walnut Creek, California, United States, 94596 | |
| Woodland Hills, California, United States, 91367 | |
| United States, Colorado | |
| Fort Collins, Colorado, United States, 80528 | |
| United States, Connecticut | |
| Norwalk, Connecticut, United States, 06856 | |
| Norwich, Connecticut, United States, 06360 | |
| Stamford, Connecticut, United States, 06902 | |
| United States, District of Columbia | |
| Washington, District of Columbia, United States, 20010 | |
| United States, Florida | |
| Boca Raton, Florida, United States, 33486 | |
| Fernandina Beach, Florida, United States, 32034 | |
| Fort Myers, Florida, United States, 33916 | |
| Ft. Lauderdale, Florida, United States, 33316 | |
| Hollywood, Florida, United States, 33021 | |
| Jacksonville, Florida, United States, 32258 | |
| Jacksonville, Florida, United States, 32205 | |
| Jacksonville, Florida, United States, 32207 | |
| Jacksonville, Florida, United States, 32256 | |
| Kissimmee, Florida, United States, 34741 | |
| Lakeland, Florida, United States, 33804-1057 | |
| Miami, Florida, United States, 33176 | |
| Miami, Florida, United States, 33136 | |
| Miami, Florida, United States, 33133 | |
| Orange Park, Florida, United States, 32073 | |
| Pembroke Pines, Florida, United States, 33028 | |
| United States, Georgia | |
| Athens, Georgia, United States, 30607 | |
| Atlanta, Georgia, United States, 30322 | |
| Atlanta, Georgia, United States, 30318 | |
| Atlanta, Georgia, United States, 30341 | |
| Atlanta, Georgia, United States, 30342 | |
| Carrolton, Georgia, United States, 30117 | |
| Cartersville, Georgia, United States, 30121 | |
| Decatur, Georgia, United States, 30033 | |
| Douglasville, Georgia, United States, 30134 | |
| Macon, Georgia, United States, 31217 | |
| Marietta, Georgia, United States, 30060 | |
| United States, Idaho | |
| Boise, Idaho, United States, 83712 | |
| Meridian, Idaho, United States, 83642 | |
| Nampa, Idaho, United States, 83686 | |
| Post Falls, Idaho, United States, 83854 | |
| Twin Falls, Idaho, United States, 83301 | |
| United States, Illinois | |
| Chicago, Illinois, United States, 60612 | |
| Decatur, Illinois, United States, 62526 | |
| Effingham, Illinois, United States, 62526 | |
| Joliet, Illinois, United States, 60435 | |
| Morris, Illinois, United States, 60450 | |
| Peoria, Illinois, United States, 61615-7828 | |
| Skokie, Illinois, United States, 60076 | |
| Zion, Illinois, United States, 60099 | |
| United States, Iowa | |
| Bettendorf, Iowa, United States, 52722 | |
| United States, Kansas | |
| Wichita, Kansas, United States, 67214-3728 | |
| United States, Kentucky | |
| Paducah, Kentucky, United States, 42001 | |
| United States, Louisiana | |
| Covington, Louisiana, United States, 70433 | |
| Lafayette, Louisiana, United States, 70503 | |
| Marrero, Louisiana, United States, 70072 | |
| Metairie, Louisiana, United States, 70006 | |
| New Orleans, Louisiana, United States, 70115 | |
| United States, Maine | |
| Kittery, Maine, United States, 03904 | |
| Wells, Maine, United States, 04090 | |
| York, Maine, United States, 03909 | |
| United States, Maryland | |
| Baltimore, Maryland, United States, 21202 | |
| Baltimore, Maryland, United States, 21237 | |
| Bethesda, Maryland, United States, 20817 | |
| Rockville, Maryland, United States, 20850 | |
| United States, Massachusetts | |
| Boston, Massachusetts, United States, 02114 | |
| Boston, Massachusetts, United States, 02118 | |
| Boston, Massachusetts, United States, 02115 | |
| Boston, Massachusetts, United States, 02215 | |
| Burlington, Massachusetts, United States, 01805 | |
| Peabody, Massachusetts, United States, 01960 | |
| United States, Michigan | |
| Brownstown, Michigan, United States, 48183 | |
| Dearborn, Michigan, United States, 48126 | |
| Detroit, Michigan, United States, 48202 | |
| Detroit, Michigan, United States, 48201 | |
| Saint Joseph, Michigan, United States, 49085 | |
| West Bloomfield, Michigan, United States, 48322 | |
| United States, Minnesota | |
| Edina, Minnesota, United States, 55414 | |
| Maplewood, Minnesota, United States, 55109 | |
| Minneapolis, Minnesota, United States, 55454 | |
| Saint Louis Park, Minnesota, United States, 55426 | |
| Saint Paul, Minnesota, United States, 55101 | |
| St. Louis Park, Minnesota, United States, 55426 | |
| United States, Missouri | |
| Joplin, Missouri, United States, 64804 | |
| Kansas City, Missouri, United States, 64111 | |
| Saint Louis, Missouri, United States, 63110 | |
| Saint Peters, Missouri, United States, 63110 | |
| St. Louis, Missouri, United States, 63141 | |
| St. Peters, Missouri, United States, 63376 | |
| United States, Montana | |
| Missoula, Montana, United States, 59802 | |
| United States, Nebraska | |
| Omaha, Nebraska, United States, 68114 | |
| United States, Nevada | |
| Henderson, Nevada, United States, 89052 | |
| United States, New Jersey | |
| Cherry Hill, New Jersey, United States, 08002 | |
| Hackensack, New Jersey, United States, 07601 | |
| Morristown, New Jersey, United States, 07962 | |
| Parsippany, New Jersey, United States, 07054 | |
| Voorhees, New Jersey, United States, 08043 | |
| United States, New Mexico | |
| Santa Fe, New Mexico, United States, 87505 | |
| United States, New York | |
| Brockport, New York, United States, 14420 | |
| Canandaigua, New York, United States, 14424 | |
| Fresh Meadows, New York, United States, 11366 | |
| Geneva, New York, United States, 14456 | |
| Greece, New York, United States, 14626 | |
| Lake Success, New York, United States, 11042 | |
| Mount Kisco, New York, United States, 10549 | |
| Rochester, New York, United States, 14626 | |
| Stony Brook, New York, United States, 11794 | |
| United States, North Carolina | |
| Charlotte, North Carolina, United States, 28203 | |
| Durham, North Carolina, United States, 27710 | |
| Hickory, North Carolina, United States, 28602 | |
| Kinston, North Carolina, United States, 28501 | |
| Washington, North Carolina, United States, 27889 | |
| United States, Ohio | |
| Cleveland, Ohio, United States, 44195 | |
| Cleveland, Ohio, United States, 44106 | |
| Columbus, Ohio, United States, 43228 | |
| Columbus, Ohio, United States, 43215 | |
| Columbus, Ohio, United States, 43219 | |
| Middletown, Ohio, United States, 45042 | |
| Newark, Ohio, United States, 43055 | |
| Sandusky, Ohio, United States, 44870 | |
| United States, Oregon | |
| Portland, Oregon, United States, 97227 | |
| United States, Pennsylvania | |
| Philadelphia, Pennsylvania, United States, 19106 | |
| Philadelphia, Pennsylvania, United States, 19124 | |
| Pittsburgh, Pennsylvania, United States, 15213 | |
| Pittsburgh, Pennsylvania, United States, 15232 | |
| United States, Rhode Island | |
| East Providence, Rhode Island, United States, 02915 | |
| United States, South Carolina | |
| Columbia, South Carolina, United States, 29210 | |
| North Charleston, South Carolina, United States, 29425 | |
| United States, Tennessee | |
| Memphis, Tennessee, United States, 38120 | |
| Nashville, Tennessee, United States, 37203 | |
| United States, Texas | |
| Austin, Texas, United States, 78731 | |
| Bryan, Texas, United States, 77802 | |
| Cypress, Texas, United States, 77429 | |
| Dallas, Texas, United States, 75230 | |
| El Paso, Texas, United States, 79902 | |
| Houston, Texas, United States, 77090 | |
| Shenandoah, Texas, United States, 77384 | |
| Temple, Texas, United States, 76501 | |
| United States, Virginia | |
| Fairfax, Virginia, United States, 22031 | |
| United States, Washington | |
| Gig Harbor, Washington, United States, 98332 | |
| Lakewood, Washington, United States, 98499 | |
| Puyallup, Washington, United States, 98372 | |
| Tacoma, Washington, United States, 98405 | |
| United States, Wisconsin | |
| Milwaukee, Wisconsin, United States, 53226 | |
| Wausau, Wisconsin, United States, 54401 | |
| Bosnia and Herzegovina | |
| Banja Luka, Bosnia and Herzegovina, 78000 | |
| Sarajewo, Bosnia and Herzegovina, 71000 | |
| Brazil | |
| Belo Horizonte, Brazil, 30150-281 | |
| Curitiba, Brazil, 80530-010 | |
| Goiania, Brazil, 74605-070 | |
| Itajai, Brazil, 88301-220 | |
| JAU, Brazil, 17210-080 | |
| Joao Pessoa, Brazil, 58040280 | |
| Porto Alegre, Brazil, 91350-200 | |
| Porto Alegre, Brazil, 90610-000 | |
| Porto Alegre, Brazil, 90430-090 | |
| Porto Alegre - Rs, Brazil, 90050-170 | |
| Rio de Janeiro, Brazil, 20560-120 | |
| Rio de Janeiro, Brazil, 22260-020 | |
| Santo Andre, Brazil, 09060-870 | |
| Sao Paulo, Brazil, 01317-000 | |
| Sao Paulo, Brazil, 1323020 | |
| Bulgaria | |
| Plovdiv, Bulgaria, 4000 | |
| Sofia, Bulgaria, 1756 | |
| Sofia, Bulgaria, 1784 | |
| Varna, Bulgaria, 9002 | |
| Canada, Alberta | |
| Calgary, Alberta, Canada, T2N 4N2 | |
| Edmonton, Alberta, Canada, T6G 1Z2 | |
| Canada, British Columbia | |
| Kelowna, British Columbia, Canada, V1Y 5L3 | |
| Vancouver, British Columbia, Canada, V5Z 1H5 | |
| Canada, Nova Scotia | |
| Halifax, Nova Scotia, Canada, B3H 2Y9 | |
| Canada, Ontario | |
| Ottawa, Ontario, Canada, K1H 8L6 | |
| Sudbury, Ontario, Canada, J9P 3Y1 | |
| Toronto, Ontario, Canada, M4N 3M5 | |
| Canada, Quebec | |
| Greenfield Park, Quebec, Canada, J4V 2H1 | |
| Montreal, Quebec, Canada, H1T 2M4 | |
| Montreal, Quebec, Canada, H3T 1E2 | |
| Montreal, Quebec, Canada, H2W 1T8 | |
| Colombia | |
| Bogota, Colombia, 0 | |
| Bogota, Colombia, 49 00 | |
| Monteria, Colombia | |
| Denmark | |
| Herlev, Denmark, 2730 | |
| København, Denmark, 2100 | |
| Odense, Denmark, 5000 | |
| Finland | |
| Helsinki, Finland, 00180 | |
| Tampere, Finland, 33520 | |
| Turku, Finland, 20520 | |
| France | |
| Avignon, France, 84082 | |
| Bordeaux, France, 33076 | |
| Brest, France, 29609 | |
| Caen, France, 14076 | |
| Dijon, France, 21079 | |
| La Roche Sur Yon, France, 85925 | |
| Montpellier, France, 34298 | |
| Paris, France, 75248 | |
| Saint Brieuc, France, 22015 | |
| Saint Herblain, France, 44805 | |
| Vandoeuvre-les-nancy, France, 54511 | |
| Germany | |
| Aschaffenburg, Germany, 63739 | |
| Berlin, Germany, 13125 | |
| Berlin, Germany, 4169 | |
| Berlin, Germany, 10367 | |
| Bonn, Germany, 53113 | |
| Dortmund, Germany, 44137 | |
| Freiburg, Germany, 79106 | |
| Fuerstenwalde, Germany, 15517 | |
| Hamburg, Germany, 20357 | |
| Karlsruhe, Germany, 76135 | |
| Kiel, Germany, 24105 | |
| Offenbach, Germany, 63069 | |
| Stralsund, Germany, 18435 | |
| Hong Kong | |
| Hong Kong, Hong Kong | |
| India | |
| Bangalore, India, 560027 | |
| Gurgaon, India, 122001 | |
| Kolkata, India, 700 053 | |
| New Delhi, India, 110029 | |
| Pune, India, 411004 | |
| Italy | |
| Aviano, Italy, 33081 | |
| Bologna, Italy, 40138 | |
| Candiolo, Italy, 10060 | |
| Genova, Italy, 16132 | |
| Meldola, Italy, 47014 | |
| Milano, Italy, 20141 | |
| Milano, Italy, 20133 | |
| Napoli, Italy, 80131 | |
| Negrar, Italy, 37024 | |
| Pisa, Italy, 56100 | |
| Reggio Emilia, Italy, 42100 | |
| Roma, Italy, 00168 | |
| Rozzano, Italy, 20089 | |
| Sassari, Italy, 07100 | |
| Terni, Italy, 05100 | |
| Korea, Republic of | |
| Kyunggi-do, Korea, Republic of, 411-769 | |
| Seoul, Korea, Republic of, 110-744 | |
| Seoul, Korea, Republic of, 135-710 | |
| Seoul, Korea, Republic of, 120-752 | |
| Mexico | |
| Acapulco, Mexico, 39670 | |
| Oaxaca, Mexico, 68000 | |
| Toluca, Mexico, 50180 | |
| New Zealand | |
| Newtown, New Zealand, 6021 | |
| Palmerston North, New Zealand, 4442 | |
| Philippines | |
| Diliman, Quezon City, Philippines, 1100 | |
| Quezon City, Luzon, Philippines, 1101 | |
| Poland | |
| Bialystok, Poland, 15-027 | |
| Gdansk, Poland, 80-952 | |
| Krakow, Poland, 31-531 | |
| Lublin, Poland, 20-090 | |
| Opole, Poland, 45-060 | |
| Poznan, Poland, 61-866 | |
| Warszawa, Poland, 02-781 | |
| Portugal | |
| Coimbra, Portugal, 3000-075 | |
| Lisboa, Portugal, 1649-035 | |
| Porto, Portugal, 4200-072 | |
| Russian Federation | |
| Kemerovo, Russian Federation, 650036 | |
| Moscow, Russian Federation, 121356 | |
| St Petersburg, Russian Federation, 197758 | |
| Singapore | |
| Singapore, Singapore, 169610 | |
| Singapore, Singapore, 119074 | |
| Slovenia | |
| Ljubljana, Slovenia, 1000 | |
| Spain | |
| Barcelona, Spain, 08035 | |
| Córdoba, Spain, 14004 | |
| Lerida, Spain, 25198 | |
| Madrid, Spain, 28041 | |
| Madrid, Spain, 28046 | |
| Santander, Spain, 39008 | |
| Sevilla, Spain, 41013 | |
| Valencia, Spain, 46009 | |
| Zaragoza, Spain, 50009 | |
| Sweden | |
| Eskilstuna, Sweden, 63188 | |
| Gaelve, Sweden, 80187 | |
| Goteborg, Sweden, 40036 | |
| Switzerland | |
| Luzern, Switzerland, 6004 | |
| St. Gallen, Switzerland, 9007 | |
| Taiwan | |
| Kaohsung, Taiwan, 883 | |
| Taichung, Taiwan, 407 | |
| Taichung, Taiwan, 404 | |
| Taipei, Taiwan, 112 | |
| Taoyuan, Taiwan, 333 | |
| United Kingdom | |
| Bournemouth, United Kingdom, BH7 7DW | |
| Cardiff, United Kingdom, CF14 2TL | |
| Denbigh, United Kingdom, LL18 5UJ | |
| London, United Kingdom, SW3 6JJ | |
| London, United Kingdom, SE1 7EH | |
| Manchester, United Kingdom, M20 4BX | |
| New Castle Upon Tyne, United Kingdom, NE7 7DN | |
| Northwood, United Kingdom, HA6 2RN | |
| Poole, United Kingdom, BH15 2JB | |
| Preston, United Kingdom, PR2 9HT | |
| Romford, United Kingdom, RM7 0AG | |
| Sutton, United Kingdom, SM2 5PT | |
| Weston Super Mare, United Kingdom, BS23 4TQ | |
Sponsors and Collaborators
Genentech
Investigators
| Study Director: | Clinical Trials | Genentech |
More Information
No publications provided by Genentech
Additional publications automatically indexed to this study by ClinicalTrials.gov Identifier (NCT Number):
| Responsible Party: | Genentech |
| ClinicalTrials.gov Identifier: | NCT00829166 History of Changes |
| Other Study ID Numbers: | TDM4370g, BO21977 |
| Study First Received: | January 22, 2009 |
| Results First Received: | February 22, 2013 |
| Last Updated: | April 22, 2013 |
| Health Authority: | United States: Food and Drug Administration |
Additional relevant MeSH terms:
|
Breast Neoplasms Neoplasms by Site Neoplasms Breast Diseases Skin Diseases Trastuzumab Capecitabine Lapatinib Fluorouracil Maytansine Antineoplastic Agents Therapeutic Uses Pharmacologic Actions |
Antimetabolites, Antineoplastic Antimetabolites Molecular Mechanisms of Pharmacological Action Immunosuppressive Agents Immunologic Factors Physiological Effects of Drugs Protein Kinase Inhibitors Enzyme Inhibitors Antineoplastic Agents, Phytogenic Tubulin Modulators Antimitotic Agents Mitosis Modulators |
ClinicalTrials.gov processed this record on May 21, 2013