HGBL represents a rare and aggressive form of B-cell non-Hodgkin's lymphoma (NHL) with no established standard of care treatment approach. Typically, frontline intervention involves a combination of chemo-immunotherapies such as R-CHOP or DA-R-EPOCH. However, approximately 20-30% of HGBL patients stop responding to these therapeutic agents and continue cancer progression. For those with relapsed or refractory (R/R) disease, the survival prognosis is 8.6 to 16 months (Laude et al., 2021). This underscores the pressing clinical need for novel and effective therapies in treating HGBL and improving patient outcomes.
LP-284 is a novel small molecule agent that damages DNA in cancer cells leading to the death of cancer cells. Lantern is developing LP-284 for several aggressive B-cell NHL, including MCL and HGBL, where LP-284 has shown potent anti-tumor activity in preclinical models. Lantern has been able to advance LP-284 from initial RADR A.I. insights regarding anti-cancer activity and potential mechanisms of action in hematological cancers, to selection of specific subtypes of lymphomas with superior response, to late-stage IND enabling studies and initiation of first-in-human clinical trials in a short span of approximately 2.5 years.
'Receiving Orphan Drug Designation is an important milestone for our latest drug candidate, LP-284, and further validates our data-driven approach to oncology drug discovery and development,' stated
'This marks the second Orphan Drug Designation (ODD) granted by the FDA for LP-284. The initial ODD for LP-284 was granted in
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Forward-looking Statements
This press release contains forward-looking statements within the meaning of Section 27A of the Securities Act of 1933, as amended, and Section 21E of the Securities Exchange Act of 1934, as amended. These forward-looking statements include, among other things, statements relating to: future events or our future financial performance; the potential advantages of our RADR platform in identifying drug candidates and patient populations that are likely to respond to a drug candidate; our strategic plans to advance the development of our drug candidates and antibody drug conjugate (ADC) development program; estimates regarding the development timing for our drug candidates and ADC development program; expectations and estimates regarding clinical trial timing and patient enrollment; our research and development efforts of our internal drug discovery programs and the utilization of our RADR platform to streamline the drug development process; our intention to leverage artificial intelligence, machine learning and biomarker data to streamline and transform the pace, risk and cost of oncology drug discovery and development and to identify patient populations that would likely respond to a drug candidate; estimates regarding patient populations, potential markets and potential market sizes; sales estimates for our drug candidates and our plans to discover and develop drug candidates and to maximize their commercial potential by advancing such drug candidates ourselves or in collaboration with others. Any statements that are not statements of historical fact (including, without limitation, statements that use words such as 'anticipate,' 'believe,' 'contemplate,' 'could,' 'estimate,' 'expect,' 'intend,' 'seek,' 'may,' 'might,' 'plan,' 'potential,' 'predict,' 'project,' 'target,' 'model,' 'objective,' 'aim,' 'upcoming,' 'should,' 'will,' 'would,' or the negative of these words or other similar expressions) should be considered forward-looking statements. There are a number of important factors that could cause our actual results to differ materially from those indicated by the forward-looking statements, such as (i) the risk that our research and the research of our collaborators may not be successful, (ii) the risk that none of our product candidates has received FDA marketing approval, and we may not be able to successfully initiate, conduct, or conclude clinical testing for or obtain marketing approval for our product candidates, (iii) the risk that no drug product based on our proprietary RADR AI platform has received FDA marketing approval or otherwise been incorporated into a commercial product, and (iv) those other factors set forth in the Risk Factors section in our Annual Report on Form 10-K for the year ended
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