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EYE-RES-102 is a randomized, double masked pivotal study to evaluate the efficacy and safety of 2 dose levels of EYE103 in comparison with the active control, ranibizumab, in patients with diabetic macular edema (DME)
In the first year, all 3 treatment groups will be treated every 4 weeks with either EYE103 or ranibizumab. Beginning at Year 2, the frequency of treatment for participants will shift based on a personalized treatment interval algorithm.
Approximately 960 participants will be entered in the study.
EYE-RES-102 is a randomized, double masked pivotal study to evaluate the efficacy and safety of 2 dose levels of EYE103 in comparison with the active control, ranibizumab, in patients with diabetic macular edema (DME)
Approximately 960 participants will be entered in the study. Participants will be randomized 1:1:1 to receive low dose EYE103, high dose EYE103, or 0.5 mg ranibizumab, administered via intravitreal injection. In the first year, all 3 treatment groups will be treated every 4 weeks with either EYE103 or ranibizumab. Beginning at Year 2, the frequency of treatment for participants will shift based on a personalized treatment interval (PTI) algorithm. Throughout the 2-year study, subjects will be evaluated every 4 weeks, including measurement of Early Treatment of Diabetic Retinopathy Study (ETDRS) Best-Corrected Visual Acuity (BCVA), examination by slit-lamp biomicroscopy, fundoscopy, and spectral domain optical coherence tomography (SD-OCT). Among other parameters, SD-OCT will be used to measure central subfield thickness (CST) in microns.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| EYE103 Low Dose Treatment Arm | Experimental | EYE103 Low Dose Treatment Arm |
|
| EYE103 High Dose Treatment Arm | Experimental | EYE103 High Dose Treatment Arm |
|
| Ranibizumab Treatment Arm | Active Comparator | Ranibizumab Treatment Arm |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Ranibizumab | Drug | Ranibizumab is a commercially available anti-VEGF treatment formulated for intravitreal administration for use in patients with diabetic macular edema |
|
| Measure | Description | Time Frame |
|---|---|---|
| Change from baseline in Best-Corrected Visual Acuity (BCVA) measured using the standardized Early Treatment of Diabetic Retinopathy Study (ETDRS) chart | The change from baseline in Best-Corrected Visual Acuity (BCVA) measured using the standardized Early Treatment of Diabetic Retinopathy Study (ETDRS) chart will be presented. | Baseline and Week 52 |
| Measure | Description | Time Frame |
|---|---|---|
| Proportion of participants who gain ≥15 ETDRS letters in BCVA at Week 52 | The proportion of participants who gain ≥15 letters on the standardized Early Treatment of Diabetic Retinopathy Study (ETDRS) chart in Best-Corrected Visual Acuity (BCVA) at Week 52 will be presented. | Up to approximately Week 52 |
| Time to gaining ≥15 ETDRS letters |
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Inclusion Criteria:
Exclusion Criteria:
Be pregnant or breastfeeding
History of cataract surgery and/or minimally invasive glaucoma surgery in the study eye within 90 days of Screening
Have any treatment for complications of cataract surgery with steroids or yttrium aluminum garnet (YAG) laser capsulotomy within 90 days of Screening
Are currently using drugs with known retinal toxicity (e.g., Hydroxychloroquine, pentosan polysulfate sodium, and amiodarone)
If treatment-experienced for DME have a history of any of the following treatments within the noted time windows:
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| Name | Affiliation | Role |
|---|---|---|
| Charles Miller, MD PhD | EyeBiotech Ltd. | Study Director |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Scottsdale | Scottsdale | Arizona | 85255 | United States | ||
| Fayetteville, Arkansas |
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Parallel enrollment into 1 of 3 arms
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|
| EYE103 | Drug | EYE103 is a humanized antibody formulated for intravitreal administration |
|
|
The time to gaining ≥15 letters on the standardized Early Treatment of Diabetic Retinopathy Study (ETDRS) chart will be presented. |
| Up to approximately Week 52 |
| Change from Baseline in Focal Area Zone (FAZ) area on fluorescein angiography (FA) at Week 52 | The change from baseline in Focal Area Zone (FAZ) area on fluorescein angiography (FA) at Week 52 will be presented. | Baseline and Week 52 |
| Change from Baseline in Optical Coherence Tomography (OCT) Central Subfield Thickness (CST) at Week 52 | The change from baseline in Optical Coherence Tomography (OCT) Central Subfield Thickness (CST) at Week 52 will be presented. | Baseline and Week 52 |
| Superiority Hypothesis: Change from Baseline in ETDRS BCVA at Week 52 | The Superiority Hypothesis: change from baseline in Early Treatment of Diabetic Retinopathy Study (ETDRS) Best-Corrected Visual Acuity (BCVA) at Week 52 will be presented. | Baseline and Week 52 |
| Time to absence of Diabetic Macular Edema (DME) | The time to absence of Diabetic Macular Edema (DME) defined as Optical Coherence Tomography (OCT) Central Subfield Thickness (CST) of <300 μm will be presented. | Up to approximately Week 104 |
| Proportion of participants with resolution of macular leakage on FA at Week 24 | The proportion of participants with resolution of macular leakage on fluorescein angiography (FA), defined as 0 to 1 mm^2, at Week 24 will be presented. | Up to approximately Week 24 |
| Proportion of participants without intraretinal and subretinal fluid at the foveal center on OCT at Week 52 | The proportion of participants without intraretinal and subretinal fluid at the foveal center on Optical Coherence Tomography (OCT) at Week 52 will be presented. | Up to approximately Week 52 |
| Proportion of participants who gain ≥5 ETDRS letters in BCVA at Week 52 | The proportion of participants who gain ≥5 letters on the standardized Early Treatment of Diabetic Retinopathy Study (ETDRS) chart in Best-Corrected Visual Acuity (BCVA) at Week 52 will be presented. | Up to approximately Week 52 |
| Proportion of participants achieving 20/40 or better BCVA at Week 52 | The proportion of participants who achieve 20/40 or better Best-Corrected Visual Acuity (BCVA) at Week 52 will be presented. | Up to approximately Week 52 |
| Number of Participants Who Experience an Ocular and/or Systemic Adverse Event (AE) | An AE is any untoward medical occurrence in a clinical study participant, temporally associated with the use of study intervention, whether or not considered related to the study intervention. The number of participants who experience an ocular and/or systemic AE will be reported. | Up to approximately 104 Weeks |
| Number of Participants Who Experience an Ocular and/or Systemic Serious Adverse Event (SAE) | An AE is any untoward medical occurrence in a clinical study participant, temporally associated with the use of study intervention, whether or not considered related to the study intervention. The number of participants who experience an ocular and/or systemic serious adverse event (SAE) will be reported. | Up to approximately 104 Weeks |
| Number of Participants Who Discontinue Study Treatment Due to an AE | An AE is any untoward medical occurrence in a clinical study participant, temporally associated with the use of study intervention, whether or not considered related to the study intervention. The number of participants who discontinue study treatment due to an AE will be reported. | Up to approximately 104 Weeks |
| Fayetteville |
| Arkansas |
| 72703 |
| United States |
| Springdale, Arkansas | Springdale | Arkansas | 72764 | United States |
| Bakersfield, CA | Bakersfield | California | 93309 | United States |
| Glendale, CA | Glendale | California | 91204 | United States |
| Modesto, CA | Modesto | California | 95356 | United States |
| Mountain View, CA | Mountain View | California | 94040 | United States |
| Redlands, CA | Redlands | California | 92374 | United States |
| Sacramento, CA | Sacramento | California | 95825 | United States |
| Sacramento, CA | Sacramento | California | 95841 | United States |
| Santa Ana | Santa Ana | California | 92705 | United States |
| Colorado Springs, CO | Colorado Springs | Colorado | 80909 | United States |
| Denver, Colorado | Denver | Colorado | 80210 | United States |
| Danbury, CT | Danbury | Connecticut | 06810 | United States |
| Manchester, CT | Manchester | Connecticut | 06042 | United States |
| Waterford,CT | Waterford | Connecticut | 06385 | United States |
| Deerfield Beach, FL | Deerfield Beach | Florida | 33064 | United States |
| Fort Lauderdale, FL | Fort Lauderdale | Florida | 33308 | United States |
| Fort Myers,FL | Fort Myers | Florida | 33912 | United States |
| Gainesville, FL | Gainesville | Florida | 32607 | United States |
| Orlando, Florida | Orlando | Florida | 32806 | United States |
| Plantation, FL | Plantation | Florida | 33324 | United States |
| Sarasota, FL | Sarasota | Florida | 34232 | United States |
| Saint Petersburg, FL | St. Petersburg | Florida | 33711 | United States |
| Tallahassee, FL | Tallahassee | Florida | 32308 | United States |
| Tampa, FL | Tampa | Florida | 33609-4614 | United States |
| Tampa, FL | Tampa | Florida | 33617 | United States |
| Winter Haven, FL | Winter Haven | Florida | 33880 | United States |
| Lemont, IL | Lemont | Illinois | 60439 | United States |
| Springfield, Illinois | Springfield | Illinois | 62702 | United States |
| West Des Moines, IA | West Des Moines | Iowa | 50266 | United States |
| Lenexa, Kansas | Lenexa | Kansas | 66215 | United States |
| Wichita, Kansas | Wichita | Kansas | 67214 | United States |
| Portland, Maine | Portland | Maine | 04101 | United States |
| Hagerstown, MD | Hagerstown | Maryland | 21740 | United States |
| Springfield,MA | Springfield | Massachusetts | 01107 | United States |
| Grand Rapids, Michigan | Grand Rapids | Michigan | 49546 | United States |
| Minneapolis, MN | Minneapolis | Minnesota | 55435 | United States |
| Madison, MS | Madison | Mississippi | 39110 | United States |
| Bloomfield, NJ | Bloomfield | New Jersey | 07003 | United States |
| Cherry Hill, NJ | Cherry Hill | New Jersey | 08034 | United States |
| Liverpool, NY | Liverpool | New York | 13088 | United States |
| Oceanside, NY | Oceanside | New York | 11572 | United States |
| Rochester, NY | Rochester | New York | 14620 | United States |
| Asheville, NC | Asheville | North Carolina | 28803 | United States |
| Hickory, NC | Hickory | North Carolina | 28602 | United States |
| Wake Forest, MC | Wake Forest | North Carolina | 27587 | United States |
| Winston Salem, NC | Winston-Salem | North Carolina | 27103 | United States |
| Cleveland, Ohio | Cleveland | Ohio | 44122 | United States |
| Cleveland, OH | Cleveland | Ohio | 44130 | United States |
| Youngstown, Ohio | Youngstown | Ohio | 44505 | United States |
| Edmond, OK | Edmond | Oklahoma | 73013 | United States |
| Portland, OR | Portland | Oregon | 97221 | United States |
| Springfield, Oregon | Springfield | Oregon | 97477 | United States |
| Bethlehem, PA | Bethlehem | Pennsylvania | 18017 | United States |
| Erie, PA | Erie | Pennsylvania | 16507 | United States |
| Beaufort, SC | Beaufort | South Carolina | 29902 | United States |
| Florence, SC | Florence | South Carolina | 29501 | United States |
| Ladson, SC | Ladson | South Carolina | 29456 | United States |
| West Columbia, SC | West Columbia | South Carolina | 29169 | United States |
| Germantown, TN | Germantown | Tennessee | 38138 | United States |
| Hixson, Tennessee | Hixson | Tennessee | 37343 | United States |
| Johnson City, Tennessee | Johnson City | Tennessee | 37604 | United States |
| Knoxville, TN | Knoxville | Tennessee | 37922 | United States |
| Nashville, TN | Nashville | Tennessee | 37203 | United States |
| Abilene, TX | Abilene | Texas | 79606 | United States |
| Amarillo, TX | Amarillo | Texas | 79106 | United States |
| Amarillo, TX | Amarillo | Texas | 79109 | United States |
| Arlington, TX | Arlington | Texas | 76012 | United States |
| Austin, TX | Austin | Texas | 78705 | United States |
| Beaumont, TX | Beaumont | Texas | 77707 | United States |
| Bellaire, TX | Bellaire | Texas | 77401 | United States |
| Dallas, TX | Dallas | Texas | 75231 | United States |
| Fort Worth, TX | Fort Worth | Texas | 76104 | United States |
| Katy, TX | Katy | Texas | 77494 | United States |
| Plano, TX | Plano | Texas | 75075 | United States |
| Round Rock, TX | Round Rock | Texas | 78681 | United States |
| San Antonio, TX | San Antonio | Texas | 78240 | United States |
| Schertz, Texas | Schertz | Texas | 78154 | United States |
| The Woodlands, TX | The Woodlands | Texas | 77384 | United States |
| Willow Park, TX | Willow Park | Texas | 76087 | United States |
| Salt Lake City, Utah | Salt Lake City | Utah | 84107 | United States |
| Lynchburg, VA | Lynchburg | Virginia | 24502 | United States |
| Richmond, Virginia | Richmond | Virginia | 23235 | United States |
| Spokane, WA | Spokane | Washington | 99204 | United States |
| Buenos Aires, Argentina | CABA | Buenos Aires | 1015 | Argentina |
| Buenos Aires, Argentina | CABA | Buenos Aires | 1120 | Argentina |
| Buenos Aires, Argentina | CABA | Buenos Aires | C1033AAW | Argentina |
| Caba, Buenos Aires, Argentina | Caba | Buenos Aires | C1116ABA | Argentina |
| Cordoba, Argentina | Córdoba | Córdoba Province | 5000 | Argentina |
| Santa Fe, Argentina | Rosario | Santa Fe Province | S2000DSK | Argentina |
| Santa Fe, Argentina | Rosario | Sante Fe | 2000 | Argentina |
| Buenos Aires, Argentina | CABA | 1023 | Argentina |
| Ciudad de Cordoba, Argentina | Córdoba | X5000AAJ | Argentina |
| Sydney Retina Clinic | Sydney | New South Wales | 2000 | Australia |
| Sydney, Australia | Sydney | New South Wales | 2135 | Australia |
| Albury, Australia | Albury | 2640 | Australia |
| Parramatta, Australia | Parramatta | 2150 | Australia |
| Sydney, Australia | Sydney | 2000 | Australia |
| Graz, Austria | Graz | 8036 | Austria |
| Innsbruck, Austria | Innsbruck | 6020 | Austria |
| Vienna, Austria | Vienna | 1090 | Austria |
| Vienna, Austria | Vienna | 1140 | Austria |
| Medellin, Colombia | Medellín | Antioquia | 50021 | Colombia |
| Barranquilla, Colombia | Barranquilla | Atlántico | 80002 | Colombia |
| Bogota, Columbia | Bogotá | Columbia | 110231 | Colombia |
| Cali, Colombia | Cali | Valle del Cauca Department | 760042 | Colombia |
| Medellin, Colombia | Medellín | 50016 | Colombia |
| Osijek, Croatia | Osijek | 31000 | Croatia |
| Mlada Boleslav, Czechia | Mladá Boleslav | 293 01 | Czechia |
| Nachod, Czechia | Náchod | 547 01 | Czechia |
| Prague, Czechia | Prague | 1150/50 | Czechia |
| Prague, Czechia | Prague | Czechia |
| Cedex, France | Dijon | Cedex | 21079 | France |
| Creteil, France | Créteil | 94010 | France |
| Lyon, France | Lyon | 69004 | France |
| Marseille, France | Marseille | 13008 | France |
| Paris, France | Paris | 75006 | France |
| Paris, France | Paris | 75015 | France |
| Paris, France | Paris | 75019 | France |
| Saint Cyr sur Loire, France | Saint-Cyr-sur-Loire | 37540 | France |
| Frankfurt, Germany | Frankfurt | 60590 | Germany |
| Hanover, Germany | Hanover | 30625 | Germany |
| Munchen, Germany | München | 80336 | Germany |
| Munster, Germany | Münster | 48145 | Germany |
| Budapest, Hungary | Budapest | H-1062 | Hungary |
| Budapest, Hungary | Budapest | H-1085 | Hungary |
| Budapest, Hungary | Budapest | H-1106 | Hungary |
| Budapest, Hungry | Budapest | H-1133 | Hungary |
| Debrecen, Hungary | Debrecen | H-4032 | Hungary |
| Pecs, Hungary | Pécs | H-7621 | Hungary |
| Szeged, Hungary | Szeged | H-6720 | Hungary |
| Zalaegerszeg, Hungary | Zalaegerszeg | 8900 | Hungary |
| Beer Yakov, Israel | Be’er Ya‘aqov | 70300 | Israel |
| Haifa, Israel | Haifa | 3436212 | Israel |
| Jerusalem, Israel | Jerusalem | 9112001 | Israel |
| Petah Tikva, Israel | Petah Tikva | 49100 | Israel |
| Rehovot, Israel | Rehovot | 76100 | Israel |
| Tel Aviv, Israel | Tel Aviv | 6423906 | Israel |
| Bologna, Italy | Bologna | 40138 | Italy |
| Firenze, Italy | Florence | 50139 | Italy |
| Milano, Italy | Milan | 20122 | Italy |
| Milano, Italy | Milan | 20132 | Italy |
| Milano, Italy | Milan | 20157 | Italy |
| Roma, Italy | Roma | 00168 | Italy |
| Rome, Italy | Rome | 81.00133 | Italy |
| Udine, Italy | Udine | 33100 | Italy |
| Riga, Latvia | Riga | LV1002 | Latvia |
| Riga, Latvia | Riga | LV1006 | Latvia |
| Gdansk, Poland | Gdansk | Gdansk | 80-809 | Poland |
| Bialystok, Poland | Bialystok | 15-866 | Poland |
| Bydgoszcz, Poland | Bydgoszcz | 85-309 | Poland |
| Bydgoszcz, Poland | Bydgoszcz | 85-631 | Poland |
| Gdansk, Poland | Gdansk | 80-809 | Poland |
| Katowice, Poland | Katowice | 40-594 | Poland |
| Krakow, Poland | Krakow | 31-501 | Poland |
| Olsztyn, Poland | Olsztyn | 10-424 | Poland |
| Tarnowskie Gory, Poland | Tarnowskie Góry | 42-600 | Poland |
| Coimbra, Portugal | Coimbra | 3000-548 | Portugal |
| Coimbra, Portugal | Coimbra | 3030-163 | Portugal |
| Porto, Portugal | Porto | 4200-319 | Portugal |
| Arecibo, PR | Arecibo | PR | 00612 | Puerto Rico |
| Trebisov, Slovakia | Trebišov | 075 01 | Slovakia |
| Trencin, Slovakia | Trenčín | 911 01 | Slovakia |
| Zilina, Slovakia | Žilina | 012 07 | Slovakia |
| Valencia, Spain | Burjassot | Valencia | 46100 | Spain |
| Barcelona, Spain | Barcelona | 08021 | Spain |
| Barcelona, Spain | Barcelona | 08022 | Spain |
| Barcelona, Spain | Barcelona | 08035 | Spain |
| Barcelona, Spain | Barcelona | 08195 | Spain |
| Santiago de Compostela, Spain | Santiago de Compostela | 15706 | Spain |
| Sevilla, Spain | Seville | 41009 | Spain |
| Zaragoza, Spain | Zaragoza | 50009 | Spain |
| Ankara, Turkey | Ankara | Turkey | 06230 | Turkey (Türkiye) |
| Ankara, Turkey | Ankara | Turkey | 06490 | Turkey (Türkiye) |
| Balcova, Turkey | Balçova | Turkey | 35330 | Turkey (Türkiye) |
| London, UK | London | Middlesex | NW10 7NS | United Kingdom |
| York, United Kingdom | York | UnitedKingdom | YO10 4DZ | United Kingdom |
| Bradford, United Kingdom | Bradford | BD9 6RJ | United Kingdom |
| Bristol, UK | Bristol | BS1 2LX | United Kingdom |
| Liverpool, United Kingdom | Liverpool | L7 8YA | United Kingdom |
| Sunderland, United Kingdom | Sunderland | SR2 9HP | United Kingdom |
| Wolverhamptom, United Kingdom | Wolverhampton | WV10 0QP | United Kingdom |
| ID | Term |
|---|---|
| D000069579 | Ranibizumab |
| ID | Term |
|---|---|
| D061067 | Antibodies, Monoclonal, Humanized |
| D000911 | Antibodies, Monoclonal |
| D000906 | Antibodies |
| D007136 | Immunoglobulins |
| D007162 | Immunoproteins |
| D001798 | Blood Proteins |
| D011506 | Proteins |
| D000602 | Amino Acids, Peptides, and Proteins |
| D012712 | Serum Globulins |
| D005916 | Globulins |
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