PTGR1

DALLAS--(BUSINESS WIRE) December 03, 2024 -- Lantern Pharma Inc. (NASDAQ: LTRN), an artificial intelligence (AI) company dedicated to developing cancer therapies and transforming the cost, pace, and timeline of oncology drug discovery and development, today announced that the FDA has granted Fast Track Designation for investigational drug candidate, LP-184, for treatment of Triple Negative Breast Cancer (TNBC). This marks the second Fast Track Designation received for LP-184 in 2024, following its designation for Glioblastoma in October. LP-184 is currently in a Phase 1A clinical trial designed to evaluate the safety and tolerability of this synthetically lethal investigational drug candidate in a broad range of solid tumors, including TNBC. LP-184 was optimized and advanced in part with Lantern's AI platform, RADR®, which helped validate mechanisms that could be exploited in the clinical setting to eradicate challenging cancers and uncover insights in targeted patient populations. "Receiving a second FDA Fast Track Designation for LP-184 reinforces the significant potential of this drug candidate to address critical unmet needs in aggressive cancers, especially those like TNBC where patients have limited therapeutics options," stated Panna Sharma, President and CEO of Lantern Pharma. "Recent data presented at the Immuno-Oncology Summit demonstrated LP-184's ability to sensitize TNBC tumors that are non-responsive to checkpoint inhibitors, potentially expanding treatment options for patients with limited therapeutic choices." About TNBC and the Need for Novel Therapies TNBC represents approximately 20% of all breast cancers, affecting nearly 29,000 patients annually in the US. The prognosis for TNBC patients is considerably worse than hormone receptor-positive breast cancers, with over 50% of patients relapsing in the first 3-5 years and metastatic TNBC patients having a median overall survival of less than one year. Currently available treatment options are limited, particularly for patients who develop resistance to existing therapies. Compelling Preclinical Data Demonstrates LP-184's Potential in TNBC The graph above demonstrates LP-184's remarkable anti-tumor activity across a panel of 10 TNBC patient-derived xenograft (PDX) models. Notably, LP-184 showed consistent efficacy in both PARPi (PARP inhibitor) resistant and PARPi sensitive tumors, with treatment resulting in complete tumor regression (107-141% tumor growth inhibition) across all models tested. This data is particularly significant as it suggests LP-184's potential as a novel therapeutic option for TNBC patients, including those who have developed resistance to existing PARP inhibitor treatments - a growing clinical challenge in TNBC therapy. This TNBC data was initially presented at the San Antonio Breast Cancer Symposium in 2022. LP-184's unique mechanism of action is driven by the enzymatic activation of the drug by Prostaglandin Reductase 1 (PTGR1), which converts LP-184 into its highly potent cytotoxic form specifically within cancer cells. RADR® platform analysis and subsequent in-vivo validation studies have shown that PTGR1 is frequently elevated in TNBC tumors compared to normal tissue, making these cancers particularly susceptible to LP-184 treatment. This biomarker-driven approach allows for the potential identification of patients most likely to respond to LP-184 therapy, aligning with current and emerging precision medicine approaches in TNBC treatment. About LP-184 LP-184 is a small molecule drug candidate and next-generation acylfulvene that preferentially damages DNA in cancer cells that overexpress specific biomarkers or harbor mutations in DNA damage repair pathways. LP-184 was developed using Lantern's proprietary RADR® AI platform to identify patient populations and cancer subtypes that have the potential to respond to treatment. The compound is being evaluated in multiple solid tumors where it has shown nanomolar potency and activity in drug-resistant cancers. LP-184 has received Orphan Drug Designations from the FDA for the treatment of pancreatic cancer, glioblastoma (GBM), and ATRT, and has also been granted a Rare Pediatric Disease Designation for ATRT. About Lantern Pharma Lantern Pharma (NASDAQ: LTRN) is an AI company transforming the cost, pace, and timeline of oncology drug discovery and development. Our proprietary AI and machine learning (ML) platform, RADR®, leverages over 100 billion oncology-focused data points and a library of 200+ advanced ML algorithms to help solve billion-dollar, real-world problems in oncology drug development. By harnessing the power of AI and with input from world-class scientific advisors and collaborators, we have accelerated the development of our growing pipeline of therapies that span multiple cancer indications, including both solid tumors and blood cancers and an antibody-drug conjugate (ADC) program. Our lead development programs include a Phase 2 clinical program and multiple Phase 1 clinical trials. Our AI-driven pipeline of innovative product candidates is estimated to have a combined annual market potential of over $15 billion USD and have the potential to provide life-changing therapies to hundreds of thousands of cancer patients across the world. FORWARD LOOKING STATEMENT: 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 genomic 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 observations in preclinical studies and early or preliminary observations in clinical studies do not ensure that later observations, studies and development will be consistent or successful, (iii) the risk that we may not be able to secure sufficient future funding when needed and as required to advance and support our existing and planned clinical trials and operations, (iv) the risk that we may not be successful in licensing potential candidates or in completing potential partnerships and collaborations, (v) 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, (vi) 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 (vii) those other factors set forth in the Risk Factors section in our Annual Report on Form 10-K for the year ended December 31, 2023, filed with the Securities and Exchange Commission on March 18, 2024. You may access our Annual Report on Form 10-K for the year ended December 31, 2023 under the investor SEC filings tab of our website at www.lanternpharma.com or on the SEC's website at www.sec.gov. Given these risks and uncertainties, we can give no assurances that our forward-looking statements will prove to be accurate, or that any other results or events projected or contemplated by our forward-looking statements will in fact occur, and we caution investors not to place undue reliance on these statements. All forward-looking statements in this press release represent our judgment as of the date hereof, and, except as otherwise required by law, we disclaim any obligation to update any forward-looking statements to conform the statement to actual results or changes in our expectations. Source: Lantern Pharma Inc. Whatever your topic of interest, subscribe to our newsletters to get the best of Drugs.com in your inbox.

DALLAS--(BUSINESS WIRE)-- Lantern Pharma (NASDAQ: LTRN), a clinical-stage biopharmaceutical company leveraging artificial intelligence (AI) and machine learning to transform the cost, pace, and timeline of oncology drug discovery and development, today announced a significant advancement towards the development of a diagnostic for its drug candidate LP-184. The diagnostic is currently based on qRT-PCR (quantitative real-time polymerase chain reaction) technology and is focused on quantifying the amount of PTGR1 RNA in patient tumor samples to assess the potential for sensitivity to Lantern’s drug candidate LP-184. The company plans to further develop and validate the assay for its use as a potential tool for patient selection in later stage clinical trials across a broad range of solid tumors that have shown sensitivity to LP-184. This press release features multimedia. View the full release here: Figure 1: Correlation of PTGR1 expression and cytotoxicity/potency (IC50, µM) of LP-184 (Graphic: Business Wire) Lantern has successfully confirmed PTGR1 as a key biomarker that it intends to use to optimize patient selection based on potential tumor sensitivity to the drug candidate LP-184. LP-184 is a precision oncology drug candidate with the potential to address multiple solid tumors. This confirmation marks a crucial step towards the development of a companion diagnostic and potential stratification tool to assist with targeted patient selection. Lantern plans on further validations and development of the assay using qRT-PCR and partnering with central labs and cancer centers for eventual use in patient selection and stratification. In a key publication on the utility and value of biomarkers in oncology trials among some of the most common cancers, titled Does biomarker use in oncology improve clinical trial failure risk? A large‐scale analysis by Parker, et al., 2021 in Cancer Medicine found success of clinical trials to be significantly correlated to the incorporation of biomarkers. In particular, the Parker, et al. publication stated that: “…Our overall analysis of these four cancers, independent of indication, revealed a fivefold benefit of hazard ratios from the Markov models, suggesting a substantial benefit from biomarker use. The hazard ratio analysis of the Markov biomarker models examined how likely clinical trial success was associated with biomarker use versus no biomarker use. Hazard ratios indicated that for biomarker‐based drugs clinical trial success was largest for breast cancer (12‐fold) followed by melanoma (eightfold) and lung cancer (sevenfold) …Our data provide the most extensive look at biomarker use to date in oncology, with an advanced statistical method. Our findings indicate that biomarkers provide a statistically significant benefit, despite the fact our study includes biomarkers not yet FDA approved.” By incorporating the PTGR1 biomarker into LP-184's development strategy, Lantern Pharma is aligning with best practices in precision medicine and aiming to increase the likelihood of successful clinical outcomes in future clinical trials. PTGR1 levels have been measured to be higher in certain cancer cells than in normal cells, and Lantern is leveraging this biological activity to target the cancer indications believed most likely to respond to drug candidate LP-184. In the October 2023 paper in Molecular Cancer Therapeutics, Lantern along with collaborators from Fox Chase Cancer Center published clear evidence that higher potency of LP-184 (measured in IC50 values) was directly correlated with higher expressions of PTGR1 and that cancer cell lines that did not have PTGR1 expression remained stable in the presence of LP-184 (see figure 1). "This milestone represents a significant leap forward in our precision oncology approach and in ensuring that we enrich our future LP-184 clinical trials with the patients we believe will be most likely to benefit," said Panna Sharma, CEO of Lantern Pharma. "By working to develop a companion diagnostic for LP-184, we're not just advancing a drug candidate; we're paving the way for more personalized and effective cancer treatments for patients that have the highest likelihood of benefitting from the therapy. The planned use of biomarkers like PTGR1 in our clinical trials exemplifies our commitment to data-driven, patient-centric drug development." These steps toward development of this companion diagnostic align with Lantern Pharma's commitment to leveraging cutting-edge technology in drug development. By combining AI-driven insights with advanced diagnostic tools, the company aims to accelerate the drug development process and improve patient outcomes. Lantern Pharma plans to implement this assay in upcoming clinical trials for LP-184, potentially streamlining the development process and increasing the likelihood of successful outcomes. LP-184— a novel therapeutic in clinical development for the potential treatment of malignant gliomas, pancreatic cancer, and atypical teratoid rhabdoid tumors (ATRT)— has also been granted an Orphan Drug Designation by the FDA, along with a Rare Pediatric Disease Designation. About Lantern Pharma: Lantern Pharma (NASDAQ: LTRN) is an AI company transforming the cost, pace, and timeline of oncology drug discovery and development. Our proprietary AI and machine learning (ML) platform, RADR®, leverages over 60 billion oncology-focused data points and a library of 200+ advanced ML algorithms to help solve billion-dollar, real-world problems in oncology drug development. By harnessing the power of AI and with input from world-class scientific advisors and collaborators, we have accelerated the development of our growing pipeline of therapies that span multiple cancer indications, including both solid tumors and blood cancers and an antibody-drug conjugate (ADC) program. On average, our newly developed drug programs have been advanced from initial AI insights to first-in-human clinical trials in 2-3 years and at approximately $1.0 - 2.5 million per program. Our lead development programs include a Phase 2 clinical program and multiple Phase 1 clinical trials. We have also established a wholly-owned subsidiary, Starlight Therapeutics, to focus exclusively on the clinical execution of our promising therapies for CNS and brain cancers, many of which have no effective treatment options. Our AI-driven pipeline of innovative product candidates is estimated to have a combined annual market potential of over $15 billion USD and have the potential to provide life-changing therapies to hundreds of thousands of cancer patients across the world. Please find more information at: Website: LinkedIn: X: @lanternpharma 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 genomic 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 promising observations in preclinical studies do not ensure that later studies and development will be successful, (iii) the risk that we may not be successful in licensing potential candidates or in completing potential partnerships and collaborations, (iv) 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, (v) 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 (vi) those other factors set forth in the Risk Factors section in our Annual Report on Form 10-K for the year ended December 31, 2023, filed with the Securities and Exchange Commission on March 18, 2024. You may access our Annual Report on Form 10-K for the year ended December 31, 2023 under the investor SEC filings tab of our website at or on the SEC's website at . Given these risks and uncertainties, we can give no assurances that our forward-looking statements will prove to be accurate, or that any other results or events projected or contemplated by our forward-looking statements will in fact occur, and we caution investors not to place undue reliance on these statements. All forward-looking statements in this press release represent our judgment as of the date hereof, and, except as otherwise required by law, we disclaim any obligation to update any forward-looking statements to conform the statement to actual results or changes in our expectations. View source version on businesswire.com: Contacts Investor Relations mailto: ir@lanternpharma.com ph: (972) 277-1136 Source: Lantern Pharma Smart Multimedia Gallery Photo Figure 1: Correlation of PTGR1 expression and cytotoxicity/potency (IC50, µM) of LP-184 (Graphic: Business Wire) Logo View this news release and multimedia online at:

DALLAS, TX, USA I December 13, 2022 I Lantern Pharma Inc. (NASDAQ: LTRN), a clinical stage biopharmaceutical company using its proprietary RADR ® artificial intelligence ("A.I.") and machine learning (“M.L.”) platform to transform the cost, pace, and timeline of oncology drug discovery and development, today announced that it has expanded development of its drug candidate LP-184 to include Triple Negative Breast Cancer (TNBC), one of the most aggressive and malignant forms of breast cancer. New positive preclinical data on the anti-tumor potency of LP-184 for TNBCs was recently presented at the San Antonio Breast Cancer Symposium (SABCS) 2022. “As many as 20% of all breast cancers are TNBCs, which are tumors that do not express receptors for Estrogen, Progesterone, or HER2. Therefore, drugs targeted at these receptors are not a therapeutic option for TNBC patients. The prognosis of TNBC patients is considerably worse than HR positive breast cancers, with over 50% of patients relapsing in the first 3 to 5 years and metastatic TNBC patients having a median overall survival of less than a year. Due to the poor prognosis and high relapse rate of TNBC, it is imperative to develop new and effective drug candidates for these patients.” stated Kishor Bhatia, Ph.D., Lantern’s Chief Scientific Officer. The SABCS poster highlights new preclinical results demonstrating LP-184’s potent in vitro and in vivo anti-tumor efficacy across a broad range of breast cancer models, including TNBC models that are resistant to Olaparib, a PARP inhibitor (PARPi) and a current standard of care (SOC) agent for TNBC. LP-184 had low nanomolar potency (average IC50 of 297nM) when tested across a panel of 4 TNBC breast cancer cell lines. Considering LP-184’s in vitro anti-tumor activity for TNBCs, LP-184 was additionally tested in 10 patient derived xenograft (PDX) mouse models of TNBCs, 7 of which were resistant to Olaparib. In all 10 TNBC PDX models, LP-184 treatment led to complete and durable tumor regression of 107-141%. In addition to LP-184’s preclinical anti-tumor efficacy for primary TNBC tumors, LP-184 may also have added therapeutic potential to treat brain metastases (brain mets.) from TNBCs, which are found in ~14% of TNBC patients at their initial diagnosis. LP-184 was previously shown to have anti-tumor activity in brain mets . cell lines derived from breast, lung and skin cancers, and was additionally shown to have up to 6X more in vitro anti-tumor activity in comparison to multiple brain mets. SOC agents. “Patients with primary and secondary TNBCs are in urgent need of new and effective therapies. The combined anti-tumor potency of LP-184 in PARPi resistant TNBC PDXs and LP-184’s distinct PARP independent mechanisms, strongly support the potential of LP-184 to be added to the treatment armamentarium for TNBC patients” continued Dr. Bhatia. A full version of the poster presentation from the SABCS conference 2022 can be found on Lantern’s website . About LP-184: LP-184 is a small molecule drug candidate with a synthetically lethal mechanism of action (MoA) that preferentially damages DNA in cancer cells that harbor mutations in DNA damage repair (DDR) genes and that overexpress the enzyme PTGR1. Lantern is developing LP-184 for genetically defined solid tumors including TNBC, pancreatic, and bladder, as well as several central nervous system (CNS) tumors including glioblastoma, brain mets., and atypical teratoid rhabdoid tumors (ATRT). LP-184 has been granted Orphan Drug Designation by the FDA for the treatment of pancreatic cancer, malignant gliomas, and ATRT and was also granted a Rare Pediatric Disease Designation for ATRT. These designations and continued positive preclinical data will help to accelerate LP-184 towards a targeted IND submission in Q1 2023 and first in human Phase 1 clinical trials anticipated to commence in Q2 2023. About Lantern Pharma: Lantern Pharma (NASDAQ: LTRN) is a clinical-stage oncology-focused biopharmaceutical company leveraging its proprietary RADR ® A.I. and machine learning platform to discover biomarker signatures that identify patients most likely to respond to its pipeline of genomically-targeted therapeutics. Lantern is currently developing four drug candidates and an ADC program across twelve disclosed tumor targets, including two phase 2 programs. By targeting drugs to patients whose genomic profile identifies them as having the highest probability of benefiting from the drug, Lantern's approach represents the potential to deliver best-in-class outcomes. SOURCE: Lantern Pharma