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peregr

12/20/16 2:37 PM

#282073 RE: cheynew #282068

This just gets better and better. Another unmet deadline.
All the way to Vienna and couldn't even meet the requirements for a poster.
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cjgaddy

12/20/16 3:29 PM

#282080 RE: cheynew #282068

Per Stephanie Diaz (PPHM IR), Dr. Gerber’s 12-7-16 IASLC’16 New Sunrise Biomarker #2 Poster was not presented since the Analysis on the final ~400 pts was not completed in time for inclusion as intended in the final poster. Recall, the orig/prelim. Abstract said superb Biomarker data for Pts 1-200, N=50, MOS 5.9=>12.5mos; Pts 300-600 data to be presented at the Conference)...
12-20-16/S.Diaz(per Cheynew post #282068): “There was no poster in Vienna. The team was working on a very tight timeframe and, despite their best efforts, couldn’t complete the data analysis in time. Given the crunch, we knew there was a possibility that we wouldn’t meet the timing, so we never issued a PR announcing that we would present. Hence no press release announcing that we did not present.”

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12-7-16/IASLC/WCLC: UTSW’s David.Gerber to Present addl. Biomarker Data from Ph3.SUNRISE Trial. As VP Joe Shan said on 10-10-16, “We expect to be able to share the emerging [SUNRISE biomarker] data over the coming months at scientific & medical conferences as the more results become available”. The Lead author (presenter) is UTSW’s Dr. David Gerber (previously presented Ph2/NSCLC data and Prelim. SUNRISE data at AACR’14). The Senior author is Dr. Rachel E. Sanborn, Co-Director, Thoracic Oncology Pgm, Robert W. Franz Cancer Res. Center, Earle A. Chiles Res. Inst., Providence CC, Portland, OR. Interestingly, one co-author is Heinrich Roder, CTO of Biodesix, Boulder CO...
=>11/30/16 update: ABSTRACT published – see below.
“...Proteomic & correlative approaches identified complement activation and low IL-10 levels as important pathways for predicting improved outcomes of patient treatment with Doce+Bavi, in line with preclinical work on Bavi’s MOA...”

Dec4-7 2016: “WCLC’16 - IASLC’s 17th World Conf. on Lung Cancer”, Vienna, Austria
“Medical doctors, scientists, nurses, health professionals, gov’t officials, partners from the industry, health advocacy group,s and patients will come together in order to obtain and exchange information on both state-of-the-art and advances in the management of lung cancer and other thoracic malignancies, considering both global and regional aspects.”
http://wclc2016.iaslc.org
IASLC = Intl. Association for the Study of Lung Cancer - http://iaslc.org
WCLC = World Conference on Lung Cancer (IASLC)
Pgm: http://wclc2016.iaslc.org/wp-content/uploads/2016/10/WCLC-2016-Poster-Program.pdf
Poster Session with Presenters Present (ID 472) - Track: Advanced NSCLC
12/7/16 2:30-3:45pm #P3.02c-051 - ”A Pre-Treatment Serum Test Based on Complement and IL-10 Pathways Identifies Patients Benefiting from the Addition of Bavituximab to Docetaxel”
David E. Gerber [UTSW], J. Roder, N.L. Kallinteris, L. Horn, G. Losonczy, R. Natale, M. Tang, Heinrich Roder [CTO, Biodesix http://www.biodesix.com/project/heinrichroder ], Joe S. Shan [VP/Clin+Reg], Rachel E. Sanborn [Providence Portland Medical Ctr]
ABSTRACT Book PDF: http://wclc2016.iaslc.org/wp-content/uploads/2016/12/WCLC2016-Abstract-Book_vF-WEB_revDec12.pdf
ABSTRACT: http://library.iaslc.org/virtual-library-search?product_id=6
BACKGROUND:
SUNRISE, a global, double-bind, Phase III trial of docetaxel (D) plus bavituximab (B) or D plus placebo (P) in previously treated non-squamous non-small cell lung cancer, demonstrated similar overall survival (OS) in both treatment arms. Mass spectrometry and correlative analysis were used to create a test able to identify a subgroup of patients benefitting from the addition of B to D.
METHODS:
Pre-treatment serum samples were available for 197 of the first 200 subjects enrolled in the trial. Mass spectra could be generated for 193 samples using the Deep MALDI method (Duncan et al, ASMS 2013), processed and features (peaks) identified. Mass spectral (MS) features associated with various biological functions were identified using a gene set enrichment analysis approach. Analysis of scores based on these MS feature, subsets indicated that in patients with high complement activation outcome depended on IL-10 activation in D+B but not in D+P. A test using the MS features associated with these functions was created to reliably identify a patient subgroup associated with clinical benefit using modern machine learning methods.
RESULTS:
Complement activation, as assessed by a classifier trained using related MS features, was a prognostic factor in both treatment arms, with high activation associated with poorer clinical outcome (OS HR = 0.54, log-rank p = 0.013 for D+B; OS HR = 0.60, log-rank p = 0.040 for D+P). Within the subgroup with high complement activation [N=50 (D+B); N=54 (D+P)], a second classifier using features related to IL-10 activation was able to isolate a subgroup of patients showing numerical benefit from the addition of B [Bavituximab] [median OS 5.9mos.(D+Placebo), 12.5mos.(D+Bavituximab)]. The remaining subgroup showed no benefit from addition of B [median OS 10.4mos.(D+P), 5.6mos.(D+B)]. Blinded validation of the test in the remainder 397 patients randomized in SUNRISE is will be presented.
CONCLUSION:
Proteomic and correlative approaches identified complement activation and low IL-10 levels as important pathways for predicting improved outcomes of patient treatment with D+B, in line with preclinical work on B’s mechanism of action. The test resulting from this work will undergo blinded independent validation.

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Ann Oncol (11-8-16/suppl8): ESMO Symposium on Immuno-Oncology, Nov4-6 2016, Lausanne, Switzerland
#30P: “Proteomic Signature Analysis & Application in Clinical Development of the Novel Phosphatidylserine-Targeting Immunotherapy, Bavituximab”
http://annonc.oxfordjournals.org/content/27/suppl_8/mdw525.30
David E. Gerber [UTSW] 1, N.L. Kallinteris 2, L. Horn 3, G. Losonczy 4, R. Natale 5, Heinrich Roder 6 [CTO, Biodesix], M. Tang 7, J. Lai 2, J. Shan 8, Rachel E. Sanborn [9=Providence Portland Medical Ctr]
1 Oncology, UTSW-MC/Dallas
2 Clinical, Peregrine Pharmaceuticals Inc.
3 Oncology, Vanderbilt Ingram CC, Nashville, TN
4 Oncology, Semmelweis Univ., Budapest, Hungary
5 Oncology, Cedars-Sinai M/C, Los Angeles
6 Biodesix, Boulder, CO [CTO, Dr. Heinrich Roder: http://www.biodesix.com/project/heinrichroder ] “Founded in 2005, Biodesix discovers & commercializes cancer tests (diagnostics) that help patients & their doctors make more informed decisions about treatment based on a patient’s unique molecular profile.”
7 Biostatistics, Peregrine Pharmaceuticals Inc.
8 Clinical & Regulatory Affairs, Peregrine Pharmaceuticals, Inc.
9 Thoracic Oncology, Providence Cancer Care, Providence, OR
Aim/Background:
Understanding the multi-dimensional characteristics of cancer is essential to patient selection and treatment planning. Topline results from SUNRISE, a global double-blind Phase III trial of docetaxel + bavituximab (D+B) vs. docetaxel + placebo (D) in previously treated non-squamous NSCLC demonstrated mOS of 10.7mos. in the D+B group and 10.8mos. for the D group, which was unexpectedly different from the assumed 9.1mos. for D+B vs. 7.0mos. used for study powering. VeriStrat, a….[must subscribe]

= = = = = = = = = =BIOMARKER #1 (B2GPI):
10-10-16/PR: ESMO’16 Topline/SUNRISE; B2GPI Biomarker(30%pts) StatSig OS 7.7=>13.2mos.
10-10-16: “Peregrine Pharmaceuticals Reports Top-Line and Initial Biomarker Data from Phase III SUNRISE Trial of Bavituximab in Oral Presentation at European Society for Medical Oncology (ESMO) 2016 Congress”
-- Company Has Identified Beta-2 Glycoprotein-1 (B2GP1) as a Biomarker that Correlates with Statistically Significant Improvement in Overall Survival for Patients Receiving the Bavituximab Combination Compared to Chemotherapy Alone
-- Ongoing SUNRISE Trial Biomarker Analysis Expected to Identify Additional Biomarkers Associated with Patients Benefiting from Bavituximab Treatment that Will Help Guide Program's Future Clinical Development. . .

** "With every clinical trial we conduct, we are constantly reminded of the difficulty involved in treating patients with NSCLC. This continues to prove to be a very challenging cancer to combat and the need for effective treatments remains high," David R. Spigel, MD, CSO and PgmDir. of Lung Cancer Res. at the Sarah Cannon Res. Inst. and one of the lead investigators in the SUNRISE trial. "The findings with regard to B2GP1 that have been collected as part of the ongoing SUNRISE trial data analysis are interesting and support further investigation."

** Peregrine intends to further evaluate the role of B2GP1 levels in response to bavituximab therapy in future clinical trials. The company has filed a new patent application directed to the use of this initial biomarker discovery. Additional patient sample testing and analysis is ongoing and may result in other biomarkers of importance.

** Data presented at ESMO demonstrated that patients with pre-treatment B2GP1 levels between 200 and 240 (representing approximately 30% of randomized patients) achieved a statistically significant, 5.5-month improvement (13.2 months vs. 7.7 months) in median overall survival (OS) as compared to patients in the control group with the same range of B2GP1 levels [p = 0.049; hazard ratio (HR) = 0.67].

** "We would once again like to thank all of the patients, clinical investigators and scientists who participated in the SUNRISE trial and have made it possible for us to continue to collect and analyze a range of key data from the study. While we were disappointed with the trial being discontinued earlier in the year, we are excited by the fact that we are beginning to learn important information from the trial through the ongoing biomarker analysis program that will be critical in helping guide the future clinical development of bavituximab," said Joseph Shan, VP of Clin&Reg.Affairs at Peregrine. "It is encouraging that the initial biomarker analysis has identified an important biomarker early in the process and we are optimistic that additional biomarkers associated with improved outcomes for bavituximab-containing treatments will be identified as the analysis continues. We expect to be able to share the emerging data over the coming months at scientific and medical conferences as the more results become available. It is not uncommon in the cancer field for therapeutic candidates to suffer clinical trial setbacks as researchers continue to learn more about the most appropriate patient populations for those drugs. In this landscape, biomarkers play an increasingly important role in helping identify specific patient characteristics that may impact responses to a treatment. This has been seen historically with targeted cancer treatments, as well as more recently with checkpoint inhibitors including PD-1 inhibitors. We look forward to identifying the equivalent markers for bavituximab that will help guide its clinical development.”
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5-31-14 ASCO’14: David Gerber/Joe Shan Poster on Ph3/SUNRISE Trial (#TPS8129) http://tinyurl.com/nv4jloo

10-10-16 ESMO’16 Topline/Ph3.SUNRISE Data: Biomarker B2GPI/200-240(30%pts) StatSig OS 7.7=>13.2mos. http://tinyurl.com/hp73njt