Metastatic Colorectal Cancer Clinical Trial
Official title:
A Randomized, Multicenter, Open-label, Phase 3 Study to Compare the Efficacy and Safety of Panitumumab and Cetuximab in Subjects With Previously Treated, Wild-type KRAS, Metastatic Colorectal Cancer
Verified date | September 2022 |
Source | Amgen |
Contact | n/a |
Is FDA regulated | No |
Health authority | |
Study type | Interventional |
The primary objective of this study is to compare the effect of panitumumab versus cetuximab on overall survival (OS) for chemorefractory metastatic colorectal cancer (mCRC) among patients with wild-type Kirsten rat Sarcoma-2 virus (KRAS) tumors.
Status | Completed |
Enrollment | 1010 |
Est. completion date | March 7, 2017 |
Est. primary completion date | February 5, 2013 |
Accepts healthy volunteers | No |
Gender | All |
Age group | 18 Years and older |
Eligibility | Inclusion Criteria: - Histologically or cytologically confirmed diagnosis of adenocarcinoma of the colon or rectum, metastatic disease - Wild-type KRAS tumor status - Eastern Cooperative Oncology Group (ECOG) score of 0, 1 or 2 - Must have failed a prior regimen containing irinotecan for metastatic disease and a prior regimen containing oxaliplatin for metastatic disease - Must have previously received a thymidylate synthase inhibitor (eg, fluorouracil, capecitabine, raltitrexed, or fluorouracil-uracil) at any point for treatment of colorectal cancer (CRC) - Adequate hematologic, renal, hepatic and metabolic function Exclusion Criteria: - Symptomatic brain metastases requiring treatment - Prior anti-epidermal growth factor receptor (EGFr) antibody therapy (eg, panitumumab or cetuximab) or treatment with small molecule EGFr inhibitors (eg, gefitinib, erlotinib, lapatinib) - Antitumor therapy (eg, chemotherapy, hormonal therapy, immunotherapy, antibody therapy, radiotherapy), or investigational agent or therapy = 30 days before randomization. - Clinically significant cardiovascular disease - Active infection requiring systemic treatment or any uncontrolled infection =14 days prior to randomization |
Country | Name | City | State |
---|---|---|---|
Australia | Research Site | Ballarat | Victoria |
Australia | Research Site | Box Hill | Victoria |
Australia | Research Site | Epping | Victoria |
Australia | Research Site | Footscray | Victoria |
Australia | Research Site | Heidelberg | Victoria |
Australia | Research Site | Liverpool | New South Wales |
Australia | Research Site | Parkville | Victoria |
Australia | Research Site | St Leonards | New South Wales |
Australia | Research Site | Wahroonga | New South Wales |
Australia | Research Site | Wollongong | New South Wales |
Australia | Research Site | Woodville South | South Australia |
Belgium | Research Site | Edegem | |
Bulgaria | Research Site | Sofia | |
Bulgaria | Research Site | Sofia | |
Canada | Research Site | Edmonton | Alberta |
Canada | Research Site | Halifax | Nova Scotia |
China | Research Site | Beijing | |
China | Research Site | Beijing | |
China | Research Site | Beijing | |
China | Research Site | Changchun | Jilin |
China | Research Site | Changsha | Hunan |
China | Research Site | Chengdu | Sichuan |
China | Research Site | Chongqing | Sichuan |
China | Research Site | Guangzhou | Guangdong |
China | Research Site | Guangzhou | Guangdong |
China | Research Site | Guangzhou | Guangdong |
China | Research Site | Guangzhou | Guangdong |
China | Research Site | Hangzhou | Zhejiang |
China | Research Site | Hangzhou | Zhejiang |
China | Research Site | Harbin | Heilongjiang |
China | Research Site | Nanjing | Jiangsu |
China | Research Site | Shanghai | |
China | Research Site | Shanghai | |
China | Research Site | Shanghai | |
China | Research Site | Shanghai | Shanghai |
China | Research Site | Tianjin | |
China | Research Site | XI An | Shaanxi |
Czechia | Research Site | Horovice | |
Czechia | Research Site | Nova Ves pod Plesi | |
Czechia | Research Site | Olomouc | |
Czechia | Research Site | Praha 10 | |
Czechia | Research Site | Pribram | |
Czechia | Research Site | Znojmo | |
France | Research Site | Besançon Cedex | |
France | Research Site | Montbéliard | |
France | Research Site | Saint Brieuc | |
France | Research Site | Saint Herblain | |
France | Research Site | Villejuif cedex | |
Hong Kong | Research Site | Kowloon | |
Hong Kong | Research Site | New Territories | |
India | Research Site | Ahmednagar | Maharashtra |
India | Research Site | Chennai | Tamil Nadu |
India | Research Site | Hyderabad | Andhra Pradesh |
India | Research Site | Hyderabad | Andhra Pradesh |
India | Research Site | Jaipur | Rajasthan |
India | Research Site | Kochi | Kerala |
India | Research Site | Kolkata | West Bengal |
India | Research Site | Nagpur | Maharashtra |
India | Research Site | Nashik | Maharashtra |
India | Research Site | Nashik | Maharashtra |
India | Research Site | Pune | Maharashtra |
Israel | Research Site | Beer Sheva | |
Israel | Research Site | Jerusalem | |
Israel | Research Site | Kfar Saba | |
Israel | Research Site | Ramat Gan | |
Israel | Research Site | Rehovot | |
Italy | Research Site | Ancona | |
Italy | Research Site | Cesena | |
Italy | Research Site | Cremona | |
Italy | Research Site | Faenza RA | |
Italy | Research Site | Genova | |
Italy | Research Site | Lugo | |
Italy | Research Site | Meldola FC | |
Italy | Research Site | Ravenna | |
Italy | Research Site | Rimini | |
Italy | Research Site | Torino | |
Korea, Republic of | Research Site | Goyang-si, Gyeonggi-do | |
Korea, Republic of | Research Site | Seoul | |
Korea, Republic of | Research Site | Seoul | |
Korea, Republic of | Research Site | Seoul | |
Korea, Republic of | Research Site | Seoul | |
Korea, Republic of | Research Site | Seoul | |
Latvia | Research Site | Daugavpils | |
Latvia | Research Site | Riga | |
Latvia | Research Site | Riga | |
Lithuania | Research Site | Kaunas | |
Lithuania | Research Site | Vilnius | |
Malaysia | Research Site | Kota Bharu | Kelantan |
Malaysia | Research Site | Kota Kinabalu | Sabah |
Malaysia | Research Site | Kuala Lumpur | Wilayah Persekutuan |
Malaysia | Research Site | Kuala Lumpur | Wilayah Persekutuan |
Netherlands | Research Site | Rotterdam | |
Peru | Research Site | Lima | |
Peru | Research Site | Lima | |
Peru | Research Site | Lima | |
Philippines | Research Site | Cebu City | |
Philippines | Research Site | Manila | |
Philippines | Research Site | Quezon City | |
Poland | Research Site | Elblag | |
Poland | Research Site | Gdansk | |
Poland | Research Site | Jelenia Gora | |
Poland | Research Site | Poznan | |
Poland | Research Site | Szczecin | |
Poland | Research Site | Warszawa | |
Poland | Research Site | Warszawa | |
Poland | Research Site | Warszawa | |
Romania | Research Site | Bucharest | |
Romania | Research Site | Sibiu | |
Russian Federation | Research Site | Moscow | |
Russian Federation | Research Site | Moscow | |
Russian Federation | Research Site | Saint Petersburg | |
Russian Federation | Research Site | Saint-Petersburg | |
Russian Federation | Research Site | Saint-Petersburg | |
Serbia | Research Site | Nis | |
Serbia | Research Site | Sremska Kamenica | |
Singapore | Research Site | Singapore | |
Singapore | Research Site | Singapore | |
Slovakia | Research Site | Bardejov | |
Slovakia | Research Site | Bratislava | |
Slovakia | Research Site | Nitra | |
South Africa | Research Site | Groenkloof | Gauteng |
South Africa | Research Site | Johannesburg | Gauteng |
South Africa | Research Site | Johannesburg | |
South Africa | Research Site | Kraaifontein | Western Cape |
South Africa | Research Site | Port Elizabeth | |
Sweden | Research Site | Göteborg | |
Sweden | Research Site | Linköping | |
Sweden | Research Site | Lund | |
Sweden | Research Site | Uppsala | |
Sweden | Research Site | Västerås | |
Sweden | Research Site | Växjö | |
Taiwan | Research Site | Keelung | |
Taiwan | Research Site | Putzu City | Chiayi |
Taiwan | Research Site | Tainan | |
Taiwan | Research Site | Taipei | |
Taiwan | Research Site | Taoyuan | |
United Kingdom | Research Site | Belfast | |
United Kingdom | Research Site | Bristol | |
United Kingdom | Research Site | Cardiff | |
United Kingdom | Research Site | Guildford | |
United Kingdom | Research Site | Leicester | |
United Kingdom | Research Site | London | |
United Kingdom | Research Site | Maidstone | |
United Kingdom | Research Site | Manchester | |
United Kingdom | Research Site | Oxford | |
United Kingdom | Research Site | Sutton | |
United Kingdom | Research Site | Wolverhampton | |
United States | Research Site | Boynton Beach | Florida |
United States | Research Site | Ogden | Utah |
United States | Research Site | Stockton | California |
United States | Research Site | Temple | Texas |
United States | Research Site | Wichita | Kansas |
Lead Sponsor | Collaborator |
---|---|
Amgen |
United States, Australia, Belgium, Bulgaria, Canada, China, Czechia, France, Hong Kong, India, Israel, Italy, Korea, Republic of, Latvia, Lithuania, Malaysia, Netherlands, Peru, Philippines, Poland, Romania, Russian Federation, Serbia, Singapore, Slovakia, South Africa, Sweden, Taiwan, United Kingdom,
Kim TW, Peeters M, Thomas A, Gibbs P, Hool K, Zhang J, Ang AL, Bach BA, Price T. Impact of Emergent Circulating Tumor DNA RAS Mutation in Panitumumab-Treated Chemoresistant Metastatic Colorectal Cancer. Clin Cancer Res. 2018 Nov 15;24(22):5602-5609. doi: 10.1158/1078-0432.CCR-17-3377. Epub 2018 Jun 13. — View Citation
Peeters M, Price T, Boedigheimer M, Kim TW, Ruff P, Gibbs P, Thomas A, Demonty G, Hool K, Ang A. Evaluation of Emergent Mutations in Circulating Cell-Free DNA and Clinical Outcomes in Patients with Metastatic Colorectal Cancer Treated with Panitumumab in the ASPECCT Study. Clin Cancer Res. 2019 Feb 15;25(4):1216-1225. doi: 10.1158/1078-0432.CCR-18-2072. Epub 2018 Nov 28. — View Citation
Price T, Ang A, Boedigheimer M, Kim TW, Li J, Cascinu S, Ruff P, Satya Suresh A, Thomas A, Tjulandin S, Peeters M. Frequency of S492R mutations in the epidermal growth factor receptor: analysis of plasma DNA from patients with metastatic colorectal cancer treated with panitumumab or cetuximab monotherapy. Cancer Biol Ther. 2020 Oct 2;21(10):891-898. doi: 10.1080/15384047.2020.1798695. Epub 2020 Oct 7. — View Citation
Price T, Kim TW, Li J, Cascinu S, Ruff P, Suresh AS, Thomas A, Tjulandin S, Guan X, Peeters M. Final results and outcomes by prior bevacizumab exposure, skin toxicity, and hypomagnesaemia from ASPECCT: randomized phase 3 non-inferiority study of panitumumab versus cetuximab in chemorefractory wild-type KRAS exon 2 metastatic colorectal cancer. Eur J Cancer. 2016 Nov;68:51-59. doi: 10.1016/j.ejca.2016.08.010. Epub 2016 Oct 5. — View Citation
Price TJ, Peeters M, Kim TW, Li J, Cascinu S, Ruff P, Suresh AS, Thomas A, Tjulandin S, Zhang K, Murugappan S, Sidhu R. Panitumumab versus cetuximab in patients with chemotherapy-refractory wild-type KRAS exon 2 metastatic colorectal cancer (ASPECCT): a randomised, multicentre, open-label, non-inferiority phase 3 study. Lancet Oncol. 2014 May;15(6):569-79. doi: 10.1016/S1470-2045(14)70118-4. Epub 2014 Apr 14. — View Citation
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Overall Survival | Overall survival is the time from the date of randomization until the date of death. Participants who had not died by the analysis data cut-off date were censored at their last contact date. | From randomization until the data cut-off date of 5 February 2013. Maximum time on study was 155 weeks. | |
Secondary | Progression-free Survival | Progression free survival (PFS) is the time from the date of randomization to the date of disease progression per the Response Evaluation Criteria In Solid Tumors (RECIST) version 1.1 or death. Participants alive and not meeting criteria for progression by the analysis data cut-off date were censored at their last evaluable disease assessment date.
Progression is defined as at least a 20% increase in the sum of diameters of target lesions, taking as reference the smallest sum on study based on all target lesions recorded since the treatment started (the sum must also demonstrate an absolute increase of at least 5 mm), or unequivocal progression of existing non-target lesions, or any new lesions. |
From randomization until the data cut-off date of 5 February 2013. Maximum time on study was 155 weeks. | |
Secondary | Objective Response | Objective response is either a complete response (CR) or partial response (PR) per RECIST version 1.1. All participants that did not meet the criteria for an objective response by the analysis cut-off date were considered non-responders. CR: Disappearance of all target lesions, any pathological lymph nodes (whether target or non-target) must have reduction in short axis to <10 mm, and disappearance of all non-target lesions, and no new lesions. PR: Disappearance of all target lesions, persistence of one or more non-target lesions not qualifying for either CR or progressive disease, or, at least a 30% decrease in the sum of diameters of target lesions with no unequivocal progression of existing non-target lesions and no new lesions. | From randomization until the data cut-off date of 5 February 2013. Maximum time on study was 155 weeks. | |
Secondary | Duration of Response | Duration of response (DOR), calculated only for those participants with an objective response, is the time from first objective response to disease progression per the RECIST v1.1 or death. Participants not meeting criteria for progression or who died by the analysis data cutoff date were censored at their last evaluable disease assessment date. | From randomization until the data cut-off date of 5 February 2013. Maximum time on study was 155 weeks. | |
Secondary | Time to Response | Time to response (TTR), calculated for those participants with an objective response, is defined as the time from the randomization date to the date of first objective response. | From randomization until the data cut-off date of 5 February 2013. Maximum time on study was 155 weeks. | |
Secondary | Time to Treatment Failure | Time to treatment failure (TTF) is the time from randomization date to date that the decision was made to end the treatment period for any reason; participants who remained in the treatment period at the time of analysis were censored at the date of the last on-study assessment. | From randomization until the data cut-off date of 5 February 2013. Maximum time on study was 155 weeks. | |
Secondary | Change From Baseline in EuroQOL 5 Dimension (EQ-5D) Health State Index Score | The EQ-5D is a standardized instrument for use as a generic measure of health outcome. The health state index measures the following 5 health dimensions: mobility, self-care, usual activities, pain/discomfort and anxiety/depression. Each dimension contains 3 levels of response to reflect degree of problems participants have experienced: no problem (1), some problem (2) and extreme problems (3). The health states for each respondent are converted into a single index number using a specified set of weights. Resulting scores can range from 1.0 and -0.594. A higher score indicates a more preferred health status with 1.0 representing perfect health and 0 representing death. Negative scores are possible and represent health states regarded as less preferable than death (0). Repeated measures mixed model includes treatment, geographic region, ECOG score, assessment week, and treatment by assessment week interaction as fixed effects, and participants a random effect. | From Study Day 1 through the last day of treatment or disease progression, up to Week 85. | |
Secondary | Change From Baseline in EuroQOL 5 Dimension (EQ-5D) Visual Analog Scale (VAS) | The EQ-5D is a standardized instrument for use as a generic measure of health outcome. The VAS asks respondents to rate their present health status on a 0 - 100 scale, with 0 labeled as "Worst imaginable health state" and 100 labeled as "Best imaginable health state." The VAS score is determined by observing the point at which the participant's hand drawn line intersects the scale. | From Study Day 1 through the last day of treatment or disease progression, up to Week 85. | |
Secondary | Change From Baseline in National Comprehensive Cancer Network Functional Assessment of Cancer Therapy Colorectal Symptom Index (NCCN FCSI ) Symptoms Score | The FCSI consists of 9 questions comprising the most important symptoms associated with colorectal cancer, including energy, pain, weight, diarrhea, nausea, swelling or cramps in the stomach area, appetite, ability to enjoy life, and overall quality of life. The 9 questions are combined in three algorithms to provide information for 3 domains: colorectal cancer symptoms, physical well-being, and functional well-being. Each of the 9 items are scored from "0" to "4" representing "Not at All" through to "Very Much True". The raw score for all items is transformed to a 0-100 scale, and the average for each of the 3 subscales is calculated; high scores illustrate an improved state (e.g. able to enjoy life more). | From Study Day 1 through the last day of treatment or disease progression, up to Week 85. | |
Secondary | Change From Baseline in NCCN FCSI Physical Well-being Scale Score | The FCSI consists of 9 questions comprising the most important symptoms associated with colorectal cancer, including energy, pain, weight, diarrhea, nausea, swelling or cramps in the stomach area, appetite, ability to enjoy life, and overall quality of life. The 9 questions are combined in three algorithms to provide information for 3 domains: colorectal cancer symptoms, physical well-being, and functional well-being. Each of the 9 items are scored from "0" to "4" representing "Not at All" through to "Very Much True". The raw score for all items is transformed to a 0-100 scale, and the average for each of the 3 subscales is calculated; high scores illustrate an improved state (e.g. able to enjoy life more). | From Study Day 1 through the last day of treatment or disease progression, up to Week 85. | |
Secondary | Change From Baseline in NCCN FCSI Functional Well-being Scale Score | The FCSI consists of 9 questions comprising the most important symptoms associated with colorectal cancer, including energy, pain, weight, diarrhea, nausea, swelling or cramps in the stomach area, appetite, ability to enjoy life, and overall quality of life. The 9 questions are combined in three algorithms to provide information for 3 domains: colorectal cancer symptoms, physical well-being, and functional well-being. Each of the 9 items are scored from "0" to "4" representing "Not at All" through to "Very Much True". The raw score for all items is transformed to a 0-100 scale, and the average for each of the 3 subscales is calculated; high scores illustrate an improved state (e.g. able to enjoy life more). | From Study Day 1 through the last day of treatment or disease progression, up to Week 85. | |
Secondary | Number of Participants With Adverse Events (AEs) | Serious adverse events include any event that is fatal, life threatening, requires inpatient hospitalization or prolongation of existing hospitalization, results in persistent or significant disability/incapacity, a congenital anomaly/birth defect, or other significant medical hazard. Treatment-related AEs are those the investigator considered as a reasonable possibility to have been caused by study drug. | From the day of the first dose of study therapy through 30 days since the last dose. Maximum time on study treatment was 130 weeks. |
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