Making Predictions by Digitizing Bioprocessing

April 20, 2021 | 275 views

With advances in data analytics and machine learning, the move from descriptive and diagnostic analytics to predictive and prescriptive analytics and controls—allowing us to better forecast and understand what will happen and thus optimize process outcomes—is not only feasible but inevitable, according to Bonnie Shum, principal engineer, pharma technical innovation, technology & manufacturing sciences and technology at Genentech.
“Well-trained artificial intelligence systems can help drive better decision making and how data is analyzed from drug discovery to process development and to manufacturing processes,” she says.
Those advances, though, only really matter when they improve the lives of patients. That’s exactly what Shum expects.
“The convergence of digital transformation and operational/processing changes will be critical for the facilities of the future and meeting the needs of our patients,” she continues. “Digital solutions may one day provide fully automated bioprocessing, eliminating manual intervention and enabling us to anticipate potential process deviations to prevent process failures, leading to real-time release and thus faster access for patients.”
To turn Bioprocessing 4.0 into a production line for precision healthcare, real-time release and quickly manufacturing personalized medicines will be critical. Adding digitization and advanced analytics wherever possible will drive those improvements. In fact, many of these improvements, especially moving from descriptive to predictive bioprocessing, depend on more digitization.

Spotlight

Sanofi Genzyme

Sanofi Genzyme, the specialty care business unit of Sanofi, focuses on rare diseases, multiple sclerosis, oncology, and immunology. We help people with debilitating and complex conditions that are often difficult to diagnose and treat. Our approach is shaped by our experience developing highly specialized treatments and forging close relationships with physician and patient communities.

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MEDTECH

Top 10 biotech IPOs in 2019

Article | September 22, 2022

The big question at the start of 2019 was whether the IPO window would stay open for biotech companies, particularly those seeking to pull off ever-larger IPOs at increasingly earlier stages of development. The short answer is yes—kind of. Here’s the long answer: In the words of Renaissance Capital, the IPO market had “a mostly good year.” The total number of deals fell to 159 from 192 the year before, but technology and healthcare companies were standout performers. The latter—which include biotech, medtech and diagnostics companies—led the pack, making up 43% of all IPOs in 2019. By Renaissance’s count, seven companies went public at valuations exceeding $1 billion, up from five the year before

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MEDTECH

Cell Out? Lysate-Based Expression an Option for Personalized Meds

Article | July 13, 2022

Cell-free expression (CFE) is the practice of making a protein without using a living cell. In contrast with cell line-based methods, production is achieved using a fluid containing biological components extracted from a cell, i.e., a lysate. CFE offers potential advantages for biopharma according to Philip Probert, PhD, a senior scientist at the Centre for Process Innovation in the U.K.

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MEDTECH

Closing bacterial genomes from the human gut microbiome using long-read sequencing

Article | July 11, 2022

In our lab, we focus on the impact of the gut microbiome on human health and disease. To evaluate this relationship, it’s important to understand the particular functions that different bacteria have. As bacteria are able to exchange, duplicate, and rearrange their genes in ways that directly affect their phenotypes, complete bacterial genomes assembled directly from human samples are essential to understand the strain variation and potential functions of the bacteria we host. Advances in the microbiome space have allowed for the de novo assembly of microbial genomes directly from metagenomes via short-read sequencing, assembly of reads into contigs, and binning of contigs into putative genome drafts. This is advantageous because it allows us to discover microbes without culturing them, directly from human samples and without reference databases. In the past year, there have been a number of tour de force efforts to broadly characterize the human gut microbiota through the creation of such metagenome-assembled genomes (MAGs)[1–4]. These works have produced hundreds of thousands of microbial genomes that vastly increase our understanding of the human gut. However, challenges in the assembly of short reads has limited our ability to correctly assemble repeated genomic elements and place them into genomic context. Thus, existing MAGs are often fragmented and do not include mobile genetic elements, 16S rRNA sequences, and other elements that are repeated or have high identity within and across bacterial genomes.

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Selexis Cell Line Development Strategies

Article | February 11, 2020

In today’s biotechnology landscape, to be competitive, meet regulations, and achieve market demands, “we must apply Bioprocessing 4.0,” said Igor Fisch, PhD, CEO, Selexis. In fact, in the last decade, “Selexis has evolved from cloning by limiting dilution to automated cell selection to nanofluidic chips and from monoclonality assessment by statistical calculation to proprietary bioinformatic analysis,” he added. Single-use processing systems are an expanding part of the biomanufacturing world; as such, they are a major component of Bioprocessing 4.0. “At Selexis, we use single use throughout our cell line development workflow. Currently, we have incorporated single-use automated bioprocessing systems such as ambr® and the Beacon® optofluidic platform for accelerated cell line development. By using these systems and optimizing our parameters, we were able to achieve high titers in shake flasks. Additionally, the Beacon systems integrate miniaturized cell culture with high-throughput liquid handling automation and cell imaging. This allows us to control, adjust, and monitor programs at the same time,” noted Fisch.

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Spotlight

Sanofi Genzyme

Sanofi Genzyme, the specialty care business unit of Sanofi, focuses on rare diseases, multiple sclerosis, oncology, and immunology. We help people with debilitating and complex conditions that are often difficult to diagnose and treat. Our approach is shaped by our experience developing highly specialized treatments and forging close relationships with physician and patient communities.

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INDUSTRIAL IMPACT, DIAGNOSTICS

PathAI and ConcertAI Partner to Create First-in-class Histopathology and Clinical Real-World Data Solutions

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. About ConcertAI 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.

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RESEARCH, DIAGNOSTICS

Xilio Therapeutics Releases Preliminary Results of XTX101 Phase 1 Trial

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.).

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CELL AND GENE THERAPY, AI

BenevolentAI Progresses BEN-34712 for the Potential Treatment of ALS into IND-Enabling Studies

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." About BenevolentAI 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. About ALS 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.

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INDUSTRIAL IMPACT, DIAGNOSTICS

PathAI and ConcertAI Partner to Create First-in-class Histopathology and Clinical Real-World Data Solutions

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. About ConcertAI 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.

Read More

RESEARCH, DIAGNOSTICS

Xilio Therapeutics Releases Preliminary Results of XTX101 Phase 1 Trial

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.).

Read More

CELL AND GENE THERAPY, AI

BenevolentAI Progresses BEN-34712 for the Potential Treatment of ALS into IND-Enabling Studies

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." About BenevolentAI 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. About ALS 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.

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