Janssen Receives Two Positive CHMP Opinions Recommending Expanded Use of DARZALEX®▼ (daratumumab) Subcutaneous (SC) Formulation for New Indications in Europe

On May 21, 2021 The Janssen Pharmaceutical Companies of Johnson & Johnson reported that the Committee for Medicinal Products for Human Use (CHMP) of the European Medicines Agency (EMA) has recommended broadening the existing marketing authorisation for DARZALEX▼ (daratumumab) subcutaneous (SC) formulation in two new indications (Press release, Johnson & Johnson, MAY 21, 2021, View Source [SID1234580457]). One recommendation is for the use of daratumumab SC in combination with cyclophosphamide, bortezomib and dexamethasone (D-VCd), for the treatment of adult patients with newly diagnosed systemic light chain (AL) amyloidosis. The second is for the use of daratumumab SC in combination with pomalidomide and dexamethasone (D-Pd) for the treatment of adult patients with multiple myeloma (MM) who have received one prior therapy containing a proteasome inhibitor and lenalidomide and were lenalidomide refractory, or who have received at least two prior therapies that included lenalidomide and a proteasome inhibitor and have demonstrated diseases progression on or after the last therapy.

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Both AL amyloidosis and relapsed MM are blood disorders for which unmet treatment needs remain.1,2 AL amyloidosis is a rare and potentially life-threatening disorder that occurs when an insoluble protein called amyloid builds up in tissues and organs, and eventually causes organ deterioration.1,3 The broad and often nonspecific nature of symptoms associated with AL amyloidosis can lead to delays in diagnosis, resulting in organ function deterioration having advanced by the time treatment is initiated for a proportion of patients.4,5 In Europe, there are currently no approved treatments for AL amyloidosis. Without treatment, the average survival rate is 12–18 months, and only around six months for those with severely impaired heart function.6

Multiple myeloma, despite significant treatment advances over the last decade, remains a complex blood cancer to treat, with a particularly challenging area being the management of relapsed or refractory disease. Patient outcomes worsen with each relapse, and the need for effective treatment options becomes crucial.2,7

"Today’s news is an important step forward in enabling us to meet the treatment needs of more patients with these complex blood disorders. Daratumumab has played a significant role in transforming the treatment landscape for multiple myeloma and has now been used to treat nearly 190,000 patients since its first approval in 2016," said Saskia De Haes, Vice President, EMEA Regulatory Affairs, Janssen Pharmaceutica NV. "We look forward to harnessing our expertise to deepen our impact in multiple myeloma and bring transformation to patients with AL amyloidosis, a disease area where the need for innovation is imperative."

The Positive CHMP Opinion for the AL amyloidosis indication is supported by data from the Phase 3 ANDROMEDA study.8 The study evaluated daratumumab SC in combination with VCd, compared with VCd alone, a common treatment regimen used in adult patients with newly diagnosed AL amyloidosis. Patients receiving treatment with daratumumab experienced a significantly higher haematologic complete response rate compared to patients treated with VCd alone (53.3 percent for D-VCd and 18.1 percent for VCd; P<0.0001). Overall, D-VCd had a safety profile consistent with that previously observed for each of the agents alone.7

The Positive CHMP Opinion for daratumumab SC in combination with Pd in the treatment of MM is supported by data from the Phase 3 APOLLO study conducted in collaboration with the European Myeloma Network.9 The study compared D-Pd with Pd alone in 304 patients with relapsed or refractory MM who have received at least one prior treatment regimen with both lenalidomide and a proteasome inhibitor.8 Results show that the addition of daratumumab significantly reduced the risk of progression or death by 37 percent, compared to Pd alone (hazard ratio, 0.63; 95 percent confidence interval, 0.47-0.85; P=0.0018).8 The median progression-free survival (PFS) for the D-Pd vs. Pd arms was 12.4 vs. 6.9 months, respectively.8 Response rates were significantly higher with D-Pd compared to Pd alone, including rates of overall response (69 percent vs. 46 percent), rates of very good partial response (VGPR) or better (51 percent vs. 20 percent), the rate of complete response (CR) (25 percent vs. 4 percent) and the rate of minimal residual disease-negativity (9 percent vs. 2 percent). The safety profile of D-Pd has been shown to be consistent with known profiles of daratumumab SC and Pd.8

Data from the ANDROMEDA and APOLLO studies were presented most recently during the American Society of Hematology (ASH) (Free ASH Whitepaper) 2020 Annual Meeting.7,8

"At Janssen, our goal is to improve and prolong patients’ lives as we continue our work to advance oncology science and ultimately deliver cures," said Craig Tendler, M.D., Vice President, Clinical Development and Global Medical Affairs, Oncology, Janssen Research & Development, LLC. "We continually investigate new uses of daratumumab to expand on the ways in which it can deliver benefit to various patient populations."

Both Positive Opinions will now be reviewed by the European Commission (EC), which has the authority to grant final approval of the indications.

#ENDS#

About the ANDROMEDA Study10
ANDROMEDA (NCT03201965) is an ongoing Phase 3, randomised, open-label study investigating the safety and efficacy of daratumumab SC in combination with bortezomib, cyclophosphamide and dexamethasone (D-VCd), compared to VCd alone, in the treatment of patients with newly diagnosed light chain (AL) amyloidosis. The study includes 388 patients with newly diagnosed AL amyloidosis with measurable haematologic disease and one or more organs affected. The primary endpoint is overall complete haematologic response rate by intent-to-treat (ITT). Secondary endpoints include major organ deterioration, progression-free survival, major organ deterioration event free survival, organ response rate, overall survival, and time to haematologic response, among others.9

About the APOLLO Study11
APOLLO (NCT03180736) is an ongoing multicentre, Phase 3, randomised, open-label study comparing daratumumab SC, pomalidomide and low-dose dexamethasone with pomalidomide and low-dose dexamethasone alone in patients with relapsed or refractory multiple myeloma (MM) who have received at least one prior treatment regimen with both lenalidomide and a proteasome inhibitor and have demonstrated disease progression. The study, which was conducted in collaboration with the European Myeloma Network, enrolled 304 participants.10

The primary endpoint is progression-free survival (PFS) between treatment arms. Secondary endpoints include rates of overall response rate (ORR), very good partial response (VGPR) or better, complete response (CR) or better and duration of response, among others. The study reinforces findings from the Phase 1b EQUULEUS (MMY1001) trial, supported the U.S. Food and Drug Administration (FDA) approval of intravenous D-Pd in 2017 for the treatment of relapsed and refractory MM.12 In November 2020, Janssen submitted regulatory applications to the U.S. FDA and European Medicines Agency (EMA) seeking approval of the combination of D-Pd for the treatment of patients with relapsed or refractory MM.10

About daratumumab and daratumumab SC
In August 2012, Janssen Biotech, Inc. and Genmab A/S entered a worldwide agreement, which granted Janssen an exclusive license to develop, manufacture and commercialise daratumumab. Since launch, it is estimated that nearly 190,000 patients have been treated with daratumumab worldwide.13 Daratumumab is the only CD38-directed antibody approved to be given subcutaneously to treat patients with multiple myeloma (MM). Daratumumab SC is co-formulated with recombinant human hyaluronidase PH20 (rHuPH20), Halozyme’s ENHANZE drug delivery technology.14

CD38 is a surface protein that is highly expressed across MM cells, regardless of the stage of disease. Daratumumab SC binds to CD38 and induces myeloma cell death through multiple immune-mediated mechanisms of action, including complement-dependent cytotoxicity (CDC), antibody-dependent cell-mediated cytotoxicity (ADCC) and antibody-dependent cellular phagocytosis (ADCP), as well as through apoptosis, in which a series of molecular steps in a cell lead to its death.15

Data across nine Phase 3 clinical trials in the frontline and relapsed settings for MM and newly diagnosed light chain (AL) amyloidosis, have shown that daratumumab-based regimens resulted in significant improvement in progression-free survival and/or overall survival.16,17,18,19,20,21,22,23,24 Additional studies have been designed to assess the efficacy and safety of daratumumab SC in the treatment of other malignant and pre-malignant haematologic diseases in which CD38 is expressed.25

For further information on daratumumab, please see the Summary of Product Characteristics at View Source

About AL Amyloidosis
Light chain (AL) amyloidosis is a rare and potentially fatal haematologic disorder that can affect the function of multiple organs.1,3 The disease occurs when bone marrow produces abnormal antibodies called light chains, which clump together to form a substance called amyloid. These clumps of amyloid are deposited in tissues and vital organs and interfere with normal organ function, eventually causing organ deterioration.1,3 AL amyloidosis is the most common type of systemic amyloidosis.26 It frequently affects the heart, kidneys, digestive tract, liver and nervous system.1,3 Diagnosis is often delayed and prognosis is poor due to advanced, multi-organ, particularly cardiac, involvement. Approximately 30,000 to 45,000 patients in the European Union and the United States have AL amyloidosis.27

About Multiple Myeloma
Multiple myeloma (MM) is an incurable blood cancer that starts in the bone marrow and is characterised by an excessive proliferation of plasma cells.28 In Europe, more than 50,900 people were diagnosed with MM in 2020, and more than 32,500 patients died.29 Around 50 percent of newly diagnosed patients do not reach five-year survival,30,31 and almost 29 percent of patients with MM will die within one year of diagnosis.32

Although treatment may result in remission, unfortunately, patients will most likely relapse as there is currently no cure.2 Relapsed and refractory MM is defined as disease that is nonresponsive while on salvage therapy, or progresses within 60 days of last therapy in patients who have achieved minimal response (MR) or better at some point previously before then progressing in their disease course.33 While some patients with MM have no symptoms at all, others are diagnosed due to symptoms that can include bone problems, low blood counts, calcium elevation, kidney problems or infections.34 Patients who relapse after treatment with standard therapies, including proteasome inhibitors and immunomodulatory agents, have poor prognoses and require new therapies for continued disease control.5

Freenome Presents Data Demonstrating the Importance of Clinical Test Performance and Screening Adherence on Colorectal Cancer Outcomes

On May 21, 2021 Freenome, the privately held biotechnology company that has pioneered a comprehensive multiomics platform for early cancer detection using a routine blood draw, reported results from two different studies using "CRC – Microsimulation of Adenoma Progression and Screening", or CRC-MAPS, a novel semi-Markov microsimulation model of the adenoma-carcinoma pathway (Press release, Freenome, MAY 21, 2021, View Source [SID1234580456]).

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The first study revealed that changes in adenoma sensitivity have a greater impact on CRC incidence and mortality reduction than changes in either CRC sensitivity or specificity. This study suggests that earlier detection of colorectal neoplasia improves clinical outcomes and highlights the benefits of preventing CRC through adenoma detection and subsequent lifelong colonoscopy surveillance.

The second study emphasized the importance of screening test adherence and the time that elapses between screening tests (test interval) on clinical outcomes. This study indicated that imperfect adherence mimics delays in screening, with both resulting in worse outcomes. These results reinforce the critical role of adherence in reducing CRC incidence and mortality, and suggest that the availability of a blood test with improved patient adherence may significantly improve clinical outcomes.

"These studies demonstrate that two features of a blood-based CRC screening test like Freenome’s—detection of advanced adenomas and greater patient adherence—can meaningfully improve the clinical benefits of CRC screening," said Girish Putcha, M.D., Ph.D., co-author of the studies and Freenome’s Chief Medical Officer.

"This data reinforces the need for a routine, blood-based CRC test that can detect cancer early and help get more people screened," added Mike Nolan, Freenome’s CEO. "We continue to make strong progress on PREEMPT CRC, our registrational clinical trial that aims to validate this kind of blood test to meet patient needs and improve clinical outcomes."

Data will be presented in two posters during the 2021 Digestive Disease Week (DDW) Annual Meeting.

About the Posters

Posters about the studies will be available at View Source at the time of their presentations.

Friday May 21, 2021, 9:15am PT:

Poster #Fr450: Adenoma Sensitivity has a Greater Impact on Colorectal Cancer (CRC) Incidence and Mortality Reduction than CRC Sensitivity or Specificity: Results from a Novel Microsimulation Model

Sunday May 23, 2021, 9:15am PT:

Poster #Su061: Test Interval and Patient Participation have Comparable Impacts on Colorectal Cancer (CRC) Incidence and Mortality Reduction: Results from a Novel Microsimulation Model

About the PREEMPT CRC study

The PREEMPT CRC study is Freenome’s prospective clinical trial that is enrolling 25,000 average-risk individuals. The trial aims to validate a blood test that can provide an accurate, convenient, and patient-friendly option to those undergoing screening for CRC, and to support its submission for approval by the U.S. Food and Drug Administration.

Temsirolimus Injection Now Available from Fresenius Kabi

On May 21, 2021 Fresenius Kabi reported the immediate availability of Temsirolimus Injection in the United States (Press release, Fresenius Kabi Oncology, MAY 21, 2021, View Source [SID1234580455]). Fresenius Kabi’s Temsirolimus Injection is supplied as a kit including one vial of 25 mg/mL Temsirolimus solution and one vial of diluent .

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Temsirolimus Injection, a generic version of the brand Torisel, is used to treat advanced renal cell carcinoma. It is the newest addition to the most comprehensive injectable oncology portfolio in America.

"Fresenius Kabi is committed to expanding affordable treatment options for patients," said John Ducker, president and CEO of Fresenius Kabi USA. "The addition of Temsirolimus is the most recent example of our development program and deep expertise in oncology medicines. Fresenius Kabi is pleased to continue to develop high-quality therapies that clinicians can deliver knowing they are safe, efficacious and accessible for their patients."

Fresenius Kabi is a global health care company that specializes in medicines and technologies for infusion, transfusion and clinical nutrition. The company offers a broad portfolio of generic injectable oncology medicines and has a pipeline that includes biosimilars and complex generics for oncology patients.

To learn more about Fresenius Kabi, including its expanding U.S. centers for pharmaceutical research, manufacturing and distribution, please visit www.fresenius-kabi.com/us.

About Temsirolimus Injection

Temsirolimus Injection is indicated for the treatment of advanced renal cell carcinoma.

Important Safety Information

Temsirolimus Injection is contraindicated in patients with bilirubin > 1.5×ULN.

Hypersensitivity/Infusion Reactions (including some life-threatening and rare fatal reactions) can occur early in the first infusion of Temsirolimus Injection. Patients should be monitored throughout the infusion.

To treat hypersensitivity reactions, stop Temsirolimus Injection and treat with an antihistamine. Temsirolimus Injection may be restarted at physician discretion at a slower rate.

Hepatic Impairment: Use caution when treating patients with mild hepatic impairment and reduce dose.

Hyperglycemia and hyperlipidemia are likely and may require treatment. Monitor glucose and lipid profiles.

Infections may result from immunosuppression.

Monitor for symptoms or radiographic changes of interstitial lung disease (ILD). If ILD is suspected, discontinue Temsirolimus Injection, and consider use of corticosteroids and/or antibiotics.

Bowel perforation may occur. Evaluate fever, abdominal pain, bloody stools, and/or acute abdomen promptly.

Renal failure, sometimes fatal, has occurred. Monitor renal function at baseline and while on Temsirolimus Injection.

Due to abnormal wound healing, use Temsirolimus Injection with caution in the perioperative period.

Proteinuria and nephrotic syndrome may occur. Monitor urine protein prior to the start of Temsirolimus Injection therapy and periodically thereafter. Discontinue Temsirolimus Injection in patients with who develop nephrotic syndrome.

Live vaccinations and close contact with those who received live vaccines should be avoided.

Embryo-Fetal Toxicity: Can cause fetal harm. Advise patients of the potential hazard to the fetus and to use effective contraception.

Elderly patients may be more likely to experience certain adverse reactions, including diarrhea, edema and pneumonia.

The most common adverse reactions (incidence ≥ 30%) are rash, asthenia, mucositis, nausea, edema, and anorexia. The most common laboratory abnormalities (incidence ≥30%) are anemia, hyperglycemia, hyperlipidemia, hypertriglyceridemia, elevated alkaline phosphatase, elevated serum creatinine, lymphopenia, hypophosphatemia, thrombocytopenia, elevated AST, and leukopenia.

To report SUSPECTED ADVERSE REACTIONS, contact Fresenius Kabi USA, LLC at 1-800-551-7176 or FDA at 1‐800‐FDA‐1088 or www.fda.gov/medwatch.

Strong inducers of CYP3A4/5 and inhibitors of CYP3A4 may affect concentrations of the primary metabolite of Temsirolimus Injection. If alternatives cannot be used, dose modifications of Temsirolimus Injection are recommended.

Lactation: Do not breastfeed.

Lantheus Holdings Announces Presentation Featuring 18F-DCFPyL PET/CT, its PSMA-Targeted Prostate Cancer Imaging Agent at the 2021 ASCO Annual Meeting

On May 21, 2021 Lantheus Holdings, Inc. (the "Company") (NASDAQ: LNTH), an established leader and fully integrated provider of innovative imaging diagnostics, targeted therapeutics and artificial intelligence solutions to find, fight and follow serious medical conditions, reported a poster presentation featuring data from the Company’s Phase 3 CONDOR study at the upcoming 2021 American Society for Clinical Oncology (ASCO) (Free ASCO Whitepaper) Virtual Meeting, which will be held from June 4-8, 2021 (Press release, Lantheus Medical Imaging, MAY 21, 2021, View Source [SID1234580454]).

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The presentation will be made available for the duration of conference.

Details for the ASCO (Free ASCO Whitepaper) presentation are as follows:

Session Title: Poster Session: Genitourinary Cancer – Prostate, Testicular and Penile
Title: PSMA-targeted imaging with 18F-DCFPyL-PET/CT in patients (pts) with biochemically recurrent prostate cancer (PCa): A phase 3 study (CONDOR)—A subanalysis of correct localization rate (CLR) and positive predictive value (PPV) by standard of truth.
Presenter: Frederic Pouliot, M.D., Ph.D., F.R.C.S.C., Centre Hospitalier Universitaire (CHU) de Québec-Université Laval
Abstract No: 5023

Kiromic Announces Identification of Novel Targets for Allogeneic CAR Gamma Delta T-cell Therapy in Solid Tumors Utilizing Kiromic’s Proprietary Artificial Intelligence Engine

On May 21, 2021 Kiromic Biopharma, Inc. (Nasdaq: KRBP) is an immuno-oncology target discovery and gene-editing company with a proprietary artificial intelligence neural network platform (Diamond AI) reported that is used to develop novel oncology therapeutics (Press release, Kiromic, MAY 21, 2021, View Source [SID1234580453]).

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Kiromic is pleased to announce the identification of new targets for the treatment of solid tumors, identified through the application of its bioinformatics platform (CancerDiff and Diamond AI). These new targets include novel epitopes of NY-ESO-1 and a Cancer Selective Isoform Splice Variant of Mesothelin (Isomesothelin). Strikingly, in vitro, and in vivo experiments have demonstrated that the identified IsoMesothelin variant is an excellent target for specific and potent allogeneic CAR Gamma Delta T-cell therapy for solid tumors.

These preclinical results represent a key milestone in the development process of Kiromic and were showcased in 3 posters presented during the annual April 2021 American Association of Cancer Research meeting:

AACR Posters:
247

Identification of an Ovarian Cancer Selective Splice Variant of Mesothelin Utilizing the Kiromic Proprietary Search Engine CancerDiff

1534

Mesothelin Isoform 2 is a Novel Target for Allogeneic CAR Gamma Delta T-cell Therapy in Solid Tumors

243

Identification of Novel Epitopes of NY-ESO-1 for Solid Malignancies by Kiromic Proprietary Search Engine Diamond

Poster 247: Showcases how CancerDiff was validated and then used to predict the upregulation of IsoMSLN in ovarian cancer.

Technical
Capabilities

CancerDiff was able to:

— identify and validate a unique peptide isoform of mesothelin post transcription within 71% of ovarian cancer (OV) specimens, and

— confirmed the upregulation of IsoMSLN in Ovarian cancer.

What makes CancerDiff Special vs. nearest competition

These data sets derived from publicly available proteomic repositories were searched for their unique signature peptide variants that were expressed on the surface of cancer cells.

These datasets, from the clinical study "S038 Confirmatory Study performed at Johns Hopkins University", were downloaded from CPTAC (View Source).

Data originated from TMT10plex quantification for global proteomic profiling acquired with Orbitrap Fusion Lumos mass spectrometer.

13 datasets were analyzed, comprising 94 ovarian tumor and 23 ovarian normal tissue samples from the same group of ovarian cancer patients.

For data parsing and data quality control, data was processed by MS Biowork through the MaxQuant software v1.6.2.3 (www.maxquant.org) for recalibration of MS data, filtering of database search results at the 1% protein and peptide false discovery rate (FDR), calculation of reporter ion intensities (TMT), and isotopic correction of reporter ion intensities (TMT).

The identification of unique peptides such as the isoform of mesothelin is allowing us to specifically improve on these unique biomarkers.

Human labor required to yield equivalent results

Normally, this requires several scientists working for months to reach the same research conclusion.

Poster 1534: In collaboration with premier Institutions such as MD Anderson Cancer Center (MDACC) and Baylor Medical College we have validated our first target IsoMSLN and its monoclonal antibody specific binder expressed in indication-specific solid malignancies.

Technical
Capabilities

Using a bioinformatics platform (CancerDiff), we searched and analyzed for public gene expression databases

What makes CancerDiff Special vs. nearest competition

In our data mining, we were able to identify cancer-associated antigens caused by alternative splicing. One particular alternative splicing of interest is the isoform of mesothelin.

Isoform 1 is the predominant transcript detected in normal and tumor tissues and has been a promising target for cancer immunotherapy in the past. However, Isoform 2 is a minor transcript using alternatively spliced exons producing 8 additional amino acids compared to isoform 1.

For example, our data shows that isoform 2 of Mesothelin is selectively expressed in ovarian cancers but not in normal tissues.

This alternatively spliced isoform thus makes it an ideal target for incorporation into CAR-T cells.

In the past, this process to identify alternatively spliced forms of biomarkers would have taken multiple scientists several months to achieve the same results.

This poster shows for the first time the validation of the first target: An IsoMSLN monoclonal antibody specific binder for indication-specific solid malignancies such as ovarian cancer, pancreatic adenocarcinoma, and primary mesothelioma, validating the Anti-IsoMSLN CAR GDT cells as a specific and potent off-the-shelf tumor therapy.

(GDT: Gamma Delta T-cells)

Human labor required to yield equivalent results

Normally, this requires several scientists working for months to reach the same research conclusion.

Poster 243: As a validation of our Diamond AI algorithms, we used our Diamond AI algorithm to predict a well-known target like NY-ESO-1.

Technical
Capabilities

Using our proprietary software DIAMOND, Kiromic was able to:

— Perform a metanalyses of expression data

— Predict the immunogenicity of NY-ESO-1 peptides

Diamond AI’s findings were compared to published expression and immunogenicity data.

What makes this validation special

This poster validates the predictive value of DIAMOND algorithms, the meta-analyses of expression data of cancer-testis antigen New York Esophageal Squamous Cell Carcinoma 1 (NY-ESO-1) and predicts immunogenic peptides compared to experimental data in the literature.

In agreement with published clinical observations, DIAMOND metanalysis showed NY-ESO-1 genic overexpression in cutaneous melanoma, lung adenocarcinoma, and sarcoma.

Taken together these data support DIAMOND as a reliable platform for the discovery of new immunogenic targets for cancer therapy.

Human labor required to yield equivalent results

In the past, this calculation of peptide binding affinities to HLA molecules would have taken multiple scientists several months to achieve the same results.

CEO of Kiromic, Dr. Maurizio Chiriva-Internati, DBSc, PhDs, stated:

"I am very proud to present an Artificial intelligence (AI) platform that can empower scientists and investors to directly leverage data and experiments for generating new ideas and formulate hypotheses.

This is the focus of Kiromic BioPharma (NASDAQ: KRBP), a pre-clinical stage biotechnology company that uses ‘Pragmatic creativity.’

Our novel approach consists of backing ideas with data that offer directional clues to react more effectively. Thanks to ten years of experience in developing AI technologies, we have been able to provide our scientists with the ability to democratize idea generation and get specific answers to specific problems.

Diamond’s ‘brain’ is equipped with a deep learning neural network technology, able to classify information from Kiromic’s Digital Library. This neural network technology is an extensive resource integrating clinical studies, genomic, and proteomic datasets. Diamond orchestrates all the raw data and produces new datasets for cancer target screening.

Diamond can also identify new genes (biomarkers, mutations, isoforms, neoepitopes, gene methylation status) highly and specifically expressed in targeted diseases. The software exploits its ‘intelligence’ to highlight these new genes across the entire patient population, mapping out the exact portion of the gene to elicit an immune response.

Additionally, Diamond can perform meta-analysis and convolution studies, integrating big data from experimental platforms, allowing an intuitive visualization of consistent and accurate results in a user-friendly fashion.

CancerDiff is differentiated by its user-friendly interface. The interface is a web-browser integrated suite, and once the user logs into the software, she/he can choose a starting analysis at ‘Tumor level,’ selecting the ‘Tumor Search’ check-box, and a popup menu with 38 cancers is provided.

We believe that Diamond is more accurate than other tools due to the implementation of robust statistics that compare healthy and pathologic gene expression. Other tools that utilize the TCGA database only provide information on healthy tissues. Moreover, Diamond offers a series of algorithms that single out the identified epitopes with a strong affinity for a given HLA haplotype, predicting how much those epitopes have an affinity for B and T cells.

Diamond is a powerful software that can accomplish several requests in the context of neoantigen discovery. The statistics implemented for the antigens identified are based on a weighted t-test conducted to compare the distributions of cancerous and healthy tissue expression data. The method is robust and effective.

We can do all of this through our integrated software: Diamond, and CancerSplice, solutions that are created ‘around’ scientists that require the ability to discover and explore new hypotheses based on supporting evidence in real-time. These powerful algorithms can quickly check an idea’s validity, with deeply applied methodological rigor, in real-time.

Our integrated software solution is how we have chosen to support critical business decisions concerning a therapeutic product, contributing to opening the possibility of better healthcare in the future."

CSIO of Kiromic, Mr. Gianluca Rotino, stated:

"With the results displayed in these three posters, Kiromic has demonstrated the ability to position itself among the leaders in the development and application of Artificial Intelligence in immunology and immunotherapy in general.

The competitive advantage is multiple and disruptive.

Just think of the identification and development time of a biomarker with or without artificial intelligence.

Identifying specific isoforms of a gene for at least 38 cancers, using a manual strategy, could be equivalent (but not wholly equivalent) to finding two identical telephone numbers, comparing 38 different phone books from 38 different US cities.

We should take into consideration the possibility of a permutation system that encompasses all the combinatorial possibilities to find two similar chunks of genes, with different lengths, found in all of these 38 books.

This type of finding would be equivalent to a human working for 7.6690286748 × 1026195 weeks. And just for a single biomarker.

Thanks to the application of our AI, these times and related costs are reduced to a few weeks of computing with a reduced need for full time employees.

However, we believe that our AI platform will not just give us a significant advantage in the discovery process, but we believe it will also power our clinical trials."

CFO of Kiromic, Mr. Tony Tontat, stated:

"Our drug discovery process has always had AI at its core.

Our investment and then our deployment of AI has allowed us to shorten the time required to reach our IND filing and, soon, our expected first-in-human clinical trial.

According to Reports.com market investments in AI in the Healthcare Market is expected to reach $8 Billion by 2022 with a CAGR of 52.68% (2017-2022).

We look forward to extending the lead in the market by continuing to invest in our AI technologies."

———————————-

About Kiromic Artificial Intelligence

Kiromic Artificial Intelligence System, is a modular multilayer system composed of two main modules:

CancerDiff and Diamond AI.

CancerDiff is a computational tool designed to identify the upregulation of splice variants of specific target genes at the RNA level. The software can identify new effective and specific tumor targets for immunotherapies which exist as tumor selective isoforms that have null or very low presence in healthy tissues. The identification of these isoforms allows the researcher to specifically address unique biomarker variants expressed on the surface of cancer cells. Thus, CancerDiff can improve biomarkers screening selection and gene-target therapies.

Diamond is a robust suite of algorithms platform which is able to mine public and proprietary genomic and proteomic databases and to use machine learning to identify targets for immunotherapy. Diamond can map the most immunogenic fragments of a protein and can predict the immunogenicity of peptides and to calculate their affinities to different HLA types. Specifically, Diamond can predict the processing of peptides, their HLA binding, and their ability to activate T and B cell response. Other available prediction platforms can rarely perform all of these with accuracy. For example, not all peptides that are presented by target cells can efficiently trigger immune response. Our system can identify peptides that can do both.