INDUSTRIAL IMPACT, DIAGNOSTICS
Prnewswire | April 26, 2023
PathAI, a global leader in AI-powered pathology, and ConcertAI, a leader in AI software-as-a-service technology and real-world evidence solutions for life sciences and healthcare, today announced a strategic partnership to launch a first-in-class quantitative histopathology and curated clinical real-world data (RWD) solution combining PathAI's PathExplore™ tumor microenvironment panel with ConcertAI's Patient360™ and RWD360™ products.
Utilizing real world H&E-stained samples from PathAI's pathology laboratory, PathExplore extracts quantitative measures of the tumor microenvironment, known as human interpretable features (HIFs), from whole slide images. These data are linked to Patient360's reference-standard abstracted clinical EMR, medical claims, and Social Determinants of Health data, allowing direct insights into current standards of care and treatment dynamics. Similarly, the data are also linked to RWD360, which provides scaled insights from structured EMR data, medical claims, and Social Determinants of Health for large populations.
"Real world data products include clinical and outcomes data, but are missing a critical component that links these, namely pathology, which has historically been non-standardized or with limited quantification," said Andy Beck, CEO and co-founder of PathAI. "Our collaboration with ConcertAI will offer access to a uniquely linked quantitative pathology dataset, allowing researchers to explore hypotheses far beyond the scope of small, controlled datasets, such as identifying and analyzing novel histological biomarkers correlated with patient treatment and outcomes."
"Analysis of tumor microenvironment characteristics is critical to understanding why certain patients respond to a specific therapy and others do not. It further allows the definition of clinical strategies that might increase the numbers of patients benefiting from current medicines and improve the effectiveness of new ones," said Jeff Elton, PhD, CEO of ConcertAI. "With PathAI we are creating the first large scale clinical datasets linking pathology HIFs with EMR-derived clinical data, greatly enhancing the armamentarium of the translational and clinical development research communities."
ConcertAI and PathAI will jointly offer these combined solutions to biopharma customers, including translational research and real-world data teams. The initial solutions focus on bladder cancer, colorectal cancer, prostate cancer, and melanoma. For more information, contact us at PathAI or ConcertAI, or visit us at PathAI's exhibit and ConcertAI's exhibit at ASCO in Chicago, IL, on June 2-6, 2023.
PathAI and PathExplore are a registered trademark and trademark respectively of PathAI. ConcertAI, Patient360, and RWD360 are registered trademarks or trademarks of ConcertAI. All rights reserved.
ConcertAI is a leader in Real-World Evidence (RWE) and AI Software-as-a-Service solutions for life sciences and healthcare. Our mission is to accelerate insights and advance clinical outcomes for patients through advanced AI technologies, multi-modal real-world data, and scientific expertise in partnership with the leading biomedical innovators, healthcare providers, and medical societies.
Globenewswire | May 26, 2023
Xilio Therapeutics, Inc. (Nasdaq: XLO), a clinical-stage biotechnology company discovering and developing tumor-activated immuno-oncology therapies for people living with cancer, today announced preliminary data from its Phase 1 clinical trial evaluating XTX101, an investigational tumor-activated, Fc-enhanced anti-CTLA-4, in patients with advanced solid tumors.
“We are encouraged by the preliminary data from the Phase 1 trial for XTX101 showing evidence of tumor-selective activation,” said Martin Huber, M.D., president and head of research and development at Xilio. “Following treatment with XTX101 monotherapy at the recommended Phase 2 dose of 150 mg once every six weeks, we observed a partial response in a patient with PD-L1 negative advanced non-small cell lung cancer. Importantly, this anti-tumor activity occurred in the absence of meaningful observed activation of the immune system in the periphery, suggesting tumor-selective activation of XTX101. Based on these Phase 1 data, we plan to explore opportunities to evaluate XTX101 in combination with an anti-PD-(L)1 in historically immunotherapy-resistant tumor types.”
Data from the Ongoing Phase 1 Clinical Trial for XTX101
As of a data cutoff date of May 2, 2023, 25 patients had been treated with XTX101, including dose levels ranging from 7 mg to 180 mg administered once every three weeks (Q3W) and one dose level at 150 mg administered once every six weeks (Q6W). Of these patients, 20 patients were dosed in monotherapy dose-escalation (Part 1A) and five patients were dosed in monotherapy dose-expansion (Part 1B).
Patients had a wide range of advanced and treatment-refractory solid tumors, including colorectal cancer (CRC), non-small cell lung cancer (NSCLC) and pancreatic cancer. In addition, 76% of patients had been previously treated with at least three prior lines of anti-cancer therapy, and 44% had been previously treated with at least one immuno-oncology (I-O) agent. As of the data cutoff date, three patients were continuing on treatment with XTX101, and 22 patients had discontinued treatment with XTX101.
Preliminary Safety Data
A recommended Phase 2 dose (RP2D) and schedule of 150 mg Q6W was determined based on the favorable preliminary safety, pharmacokinetic (PK) and pharmacodynamic (PD) data for XTX101. At the RP2D, no dose-limiting toxicities were observed, and there was no reported evidence of immune-related endocrine or skin adverse events (AEs) that are commonly associated with systemically active anti-CTLA-4 agents. In addition, evidence of effective masking of XTX101 was demonstrated by low levels of unmasked drug detected in peripheral circulation, and XTX101 achieved target PK exposure at the RP2D, reaching the targeted area under the curve (AUC) and peak concentration (Cmax).
As of the data cutoff date:
Across all dosing levels and dosing intervals, no Grade 4 or Grade 5 treatment-related AEs were reported by investigators.
Among seven patients who received XTX101 administered at the RP2D of 150 mg on a Q6W dosing schedule, the most common treatment-related AEs (≥10% incidence) of any grade reported by investigators were diarrhea (14%), fatigue (14%) and decreased appetite (14%). In these patients, no treatment-related colitis or infusion related reaction of any grade was observed. Investigators reported only one Grade 3 treatment-related AE of diarrhea, which occurred after two doses and resolved after five days without steroid use. This patient tolerated two additional doses of XTX101 after dose reduction to 75 mg Q6W without any symptom recurrence. At the RP2D of 150 mg Q6W, this was the only patient with a dose reduction due to an AE, and no patients discontinued treatment due to a treatment-related AE.
Among 18 patients who received XTX101 administered on a Q3W dosing schedule, the most common treatment-related AEs (≥10% incidence) of any grade reported by investigators were diarrhea (28%), colitis (28%), infusion related reaction (28%), nausea (17%), vomiting (17%) and abdominal pain (11%). Of these, investigators reported the following Grade 3 treatment-related AEs: diarrhea (6%), colitis (22%) and infusion related reaction (17%). Infusion related reactions were associated with antidrug antibodies. Across all dose levels administered Q3W, two patients had dose reductions due to AEs, and four patients discontinued treatment due to an infusion related reaction.
Preliminary Anti-Tumor Activity
A partial response was observed at nine weeks in one patient with advanced PD-L1 negative NSCLC with hepatic metastases treated with XTX101 at the 150 mg Q6W dose level and confirmed after the data cutoff date at week 27. The only treatment-related AE reported for this patient was Grade 1 fatigue. In addition, PD markers for anti-CTLA-4 reported for this patient showed minimal immune activation in peripheral circulation, demonstrating evidence of tumor-selective activation of XTX101. The patient is currently continuing on treatment with XTX101.
Clinical Development Plan for XTX101
Enrollment in monotherapy dose-expansion (Part 1B) of the Phase 1 trial is currently ongoing, with the goal of further characterizing the safety, PK and PD of XTX101 at the RP2D of 150 mg Q6W. In addition, mandatory tumor biopsies will be obtained from patients in Part 1B to examine intra-tumoral PK and PD for XTX101.
Xilio plans to continue to explore strategic opportunities to advance XTX101 with a partner beyond the current Phase 1 monotherapy cohorts, including in potential Phase 1 dose escalation evaluating XTX101 in combination with a PD-(L)1 and in a potential Phase 2 trial evaluating XTX101 in combination with a PD-(L)1 in patients with microsatellite stable CRC.
About XTX101 (anti-CTLA-4) and the Phase 1 Clinical Trial
XTX101 is an investigational tumor-activated, Fc-enhanced anti-CTLA-4 monoclonal antibody designed to deplete regulatory T cells when activated (unmasked) in the tumor microenvironment (TME). The Phase 1 clinical trial is a first-in-human, multi-center, open-label trial designed to evaluate the safety and tolerability of XTX101 for the treatment of patients with advanced solid tumors. The primary outcome measures were the incidence of dose-limiting toxicities (DLTs) and the incidence of treatment-related adverse events, and changes in clinical laboratory abnormalities. Please refer to NCT04896697 on www.clinicaltrials.gov for additional details.
About Xilio Therapeutics
Xilio Therapeutics is a clinical-stage biotechnology company discovering and developing tumor-activated immuno-oncology (I-O) therapies with the goal of significantly improving outcomes for people living with cancer without the systemic side effects of current I-O treatments. The company is using its proprietary geographically precise solutions (GPS) platform to build a pipeline of novel, tumor-activated molecules, including cytokines and other biologics, which are designed to optimize their therapeutic index and localize anti-tumor activity within the tumor microenvironment. Xilio is currently advancing multiple programs for tumor-activated I-O treatments in clinical development, as well as programs in preclinical development. Learn more by visiting www.xiliotx.com and follow us on Twitter (@xiliotx) and LinkedIn (Xilio Therapeutics, Inc.).
CELL AND GENE THERAPY, AI
Businesswire | June 05, 2023
BenevolentAI, a leader in the development of cutting-edge AI that accelerates biopharma discovery, announces the successful delivery of its pre-clinical candidate for the potential treatment of amyotrophic lateral sclerosis (ALS), BEN-34712.
BEN-34712 is an oral, potent and selective brain penetrant RARɑβ (retinoic acid receptor alpha beta) biased agonist and will now enter investigational new drug (IND)-enabling studies.
Impaired retinoic acid signalling has been shown to result in neuroinflammation, oxidative stress and mitochondrial dysfunction, all hallmarks of ALS. In preclinical studies conducted by the Company, BEN-34712 was neuroprotective in a patient-derived, disease-relevant in vitro motor neuron/iAstrocyte co-culture model, demonstrating significant efficacy in both sporadic and familial subtypes of ALS. In addition, BEN-34712 has demonstrated both central nervous system (CNS) target engagement and functional protective effects in the SOD1G93A mouse model of ALS after 50-day repeat dosing.
BenevolentAI collaborated with the Sheffield Institute for Translational Neuroscience (SITraN) at the University of Sheffield on this programme, utilising their patient-derived motor neuron/iAstrocyte co-culture systems and in vivo model expertise.
Anne Phelan, Chief Scientific Officer, BenevolentAI, said: “There remains a significant and urgent need for new and alternative therapies for patients with ALS. We are pleased by the promising advancement of our drug candidate, BEN-34712, towards clinical development, backed by the compelling preclinical data generated by our collaborators at SITraN.”
Richard Mead, Senior Lecturer in Translational Neuroscience at SITraN, commented: "ALS patients suffering from this devastating neurodegenerative disease are in dire need of effective therapy, with the current standard of care options focusing on symptom management or offering limited clinical benefit. We believe BEN-34712 represents an exciting development in our research for a potential new treatment, particularly as it shows effectiveness in both the SOD1G93A mouse model system as well as familial and C9orf72 related ALS patient-derived cell models."
BenevolentAI is a leading developer of advanced artificial intelligence technologies that unlock the value of multimodal data, surface novel insights, and accelerate biomedical discovery. Through the combined capabilities of its AI platform, its scientific expertise, and wet-lab facilities, the Company is developing an in-house drug pipeline of high-value assets. The Company is headquartered in London, with a research facility in Cambridge (UK) and a further office in New York.
ALS is a progressive neurologic disorder characterised by the loss of cortical and spinal motor neurons, leading to the denervation of nerve endplates, axonal retraction and subsequent muscle atrophy. The average survival time following the initial diagnosis is around two-three years, and while there are drugs approved by the US FDA for ALS, they provide only modest benefits to patients, underwriting the urgent need for new and alternative therapies.
About SITraN at the University of Sheffield
The Sheffield Institute for Translational Neuroscience (SITraN) is an essential development in the fight against motor neurone disease and other common neurodegenerative disorders, including Parkinson's and dementia, as well as stroke and multiple sclerosis. SITraN has the potential to bring new treatments and new hope to patients and carers in the UK and worldwide, by significantly accelerating the pace of therapeutic development using technologies such as experimental modelling of disease, gene therapy and stem cell biology, gene expression profiling and bioinformatics analysis and modelling of the biological processes. Since its opening by Queen Elizabeth II in 2010, SITraN has grown immensely and developed into a leading global facility which is at the forefront of research and expertise.