Necrosis, a kind of cell death closely associated with pathogenesis and genetic programs, is distinct from apoptosis in both morphology and mechanism. Like apoptotic cells, necrotic cells are swiftly removed from animal bodies to prevent harmful inflammatory and autoimmune responses. In the nematode Caenorhabditis elegans, gain-of-function mutations in certain ion channel subunits result in the excitotoxic necrosis of six touch neurons and their subsequent engulfment and degradation inside engulfing cells. How necrotic cells are recognized by engulfing cells is unclear. Phosphatidylserine (PS) is an important apoptotic-cell surface signal that attracts engulfing cells. Here we observed PS exposure on the surface of necrotic touch neurons. In addition, the phagocytic receptor CED-1 clusters around necrotic cells and promotes their engulfment. The extracellular domain of CED-1 associates with PS in vitro. We further identified a necrotic cell-specific function of CED-7, a member of the ATP-binding cassette (ABC) transporter family, in promoting PS exposure. In addition to CED-7, anoctamin homolog-1 (ANOH-1), the C. elegans homolog of the mammalian Ca2+-dependent phospholipid scramblase TMEM16F, plays an independent role in promoting PS exposure on necrotic cells. The combined activities from CED-7 and ANOH-1 ensure efficient exposure of PS on necrotic cells to attract their phagocytes. In addition, CED-8, the C. elegans homolog of mammalian Xk-related protein 8 also makes a contribution to necrotic cell-removal at the first larval stage. Our work indicates that cells killed by different mechanisms (necrosis or apoptosis) expose a common “eat me” signal to attract their phagocytic receptor(s); furthermore, unlike what was previously believed, necrotic cells actively present PS on their outer surfaces through at least two distinct molecular mechanisms rather than leaking out PS passively.

No abstract

ABSTRACTvc-MMAE antibody–drug conjugates (ADCs) consist of a monoclonal antibody (mAb) covalently bound with a potent anti-mitotic toxin (MMAE) through a protease-labile valine-citrulline (vc) linker. The objective of this study was to characterize the pharmacokinetics (PK) and explore exposure–response relationships of eight vc-MMAE ADCs, against different targets and for diverse tumor indications, using data from eight first-in-human Phase 1 studies. PK parameters of the three analytes, namely antibody-conjugated MMAE (acMMAE), total antibody, and unconjugated MMAE, were estimated using non-compartmental approaches and compared across the eight vc-MMAE ADCs. Relationships between analytes were assessed by linear regression. Exposure–response relationships were explored with key efficacy (objective response rate) and safety (Grade 2+ peripheral neuropathy) endpoints. PK profiles of acMMAE, total antibody and unconjugated MMAE following the first dose of 2.4 mg/kg were comparable across the eight ADCs; the exposure differences between molecules were small relative to the inter-subject variability. acMMAE exposure was strongly correlated with total antibody exposure for all the eight ADCs, but such correlation was less evident between acMMAE and unconjugated MMAE exposure. For multiple ADCs evaluated, efficacy and safety endpoints appeared to correlate well with acMMAE exposure, but not with unconjugated MMAE over the doses tested. PK of vc-MMAE ADCs was well characterized and demonstrated remarkable similarity at 2.4 mg/kg across the eight ADCs. Results from analyte correlation and exposure–response relationship analyses suggest that measurement of acMMAE analyte alone might be adequate for vc-MMAE ADCs to support the clinical pharmacology strategy used during late-stage clinical development.

Introduction: Mosunetuzumab (M; RG7828) is a full-length, fully humanized immunoglobulin G1 (IgG1) bispecific antibody targeting both CD3 (on the surface of T cells) and CD20 (on the surface of B cells). Clinical data from GO29781 (NCT02500407), a Phase I/Ib study in relapsed or refractory (R/R) non-Hodgkin lymphoma (NHL) pts, indicate that M has promising efficacy and safety (Budde et al. ASH 2018; Bartlett et al. ASCO 2019). We report the characterization of exposure-response (E-R) relationships for safety and efficacy to inform clinical dose/regimen finding. Methods: DATA: Data from Group A (0.05 to 2.8mg q3w dosing) and Group B (0.4/1/2.8 to 1/2/27mg Cycle 1 Day 1/8/15 step-up dosing, followed by q3w dosing) were analyzed. E-R for safety was assessed in 142 evaluable pts by dosing Group. E-R for efficacy was assessed in 130 evaluable pts by aggressive (a) (n=83, primarily DLBCL and transformed FL) and indolent (i) (n=47, primarily FL) NHL histologies. PHARMACOKINETIC (PK) ENDPOINTS: Pt-specific PK exposure metrics, including AUC and Cmax, were derived using a preliminary two-compartment population PK model with time-dependent clearance. Due to the presence of residual rituximab (R) at baseline from prior treatments, an additional exposure metric of average CD20 receptor occupancy (RO%) of M was derived based on the serum PK and binding affinity (KD) of both agents to assess the impact of target binding competition over time. E-R ANALYSES: Objective response rate (ORR), complete response rate (CRR), and adverse event (AE) rates, including cytokine release syndrome (CRS) and neurological AEs (NAE), were summarized by exposure-tertiles and the E-R relationships modeled by logistic regression (linear or Emax models). Response rates and E-R were further assessed in subgroups by RO% tertiles and baseline factors, such as the number of prior lines of therapy, refractory status, lactate dehydrogenase level, and tumor burden, and modeled by multivariate logistic regression. Results: R was present at modest levels at baseline in aNHL pts (median, 3 µg/ml, 33% of pts below quantitation limit [BQL] of 0.5µg/ml) but minimally in iNHL pts (median, <BQL). SAFETY: No statistically significant E-R relationships were found, although a visual trend of E-R for NAE was observed after fixed dosing, but not step-up dosing (Figure 1). EFFICACY: In aNHL pts, E-R analysis indicated that RO%, rather than Cmax or AUC, was strongly correlated with clinical response (Figure 2). The relevance of RO% was supported by strong correlations with pharmacodynamic biomarkers, such as T-cell activation and IFN-γ (Hernandez et al. ASH 2019). Pt baseline factors were balanced across RO% tertiles, except for time since last R dose, as expected per definition of RO%. Maximal clinical responses were achieved with greater RO%, reflected by the E-R plateau and described by an Emax logistic regression model. The observed ORR and CRR among pts in the top RO% tertile was 64% (18/28 pts) and 43% (12/28), respectively (Figure 2), denoting favorable therapeutic potential of M in R/R aNHL. The E-R relationship was statistically significant on top of evaluated baseline pt factors, reflected by positive E-R trends in all pt subgroups. Clinical responses were observed at 20mg even in the presence of high residual R levels (20-40µg/ml) in pts who had recently received R (within 3 months). Further dose escalation is expected to enhance efficacy by increasing the proportion of pts achieving sufficient target engagement. For iNHL pts, AUC correlated well with ORR and CRR, with no clinically meaningful interference from R due to the indolent nature of the disease. The observed ORR and CRR in pts in the top AUC tertile was 75% (12/26 pts) and 44% (7/16), respectively. M was active at dose levels (1.2-27 mg) that translated to a RO% of 0.2-10% (far below receptor saturation), consistent with its mechanism as an agonist of T-cell activation. Conclusions: E-R analyses indicate promising therapeutic benefit/risk of M in R/R NHL pts. Step-up dosing mitigated CRS-related toxicities, resulting in a broad therapeutic window of M that enables further dose escalation to maximize efficacy. The lack of E-R for safety was contrasted by a steep E-R for efficacy whereby higher M exposures overcome target binding competition in pts with residual R. Our analyses provide useful guidance for the dosing strategy of CD20-targeting T-cell bispecifics. Disclosures Li: F. Hoffmann-La Roche Ltd: Employment, Equity Ownership. Bender:Genentech, Inc.: Employment, Equity Ownership. Yin:Genentech, Inc: Employment, Equity Ownership. Li:Pro Unlimited - Genentech, Inc. contractor: Employment; F. Hoffmann-La Roche Ltd: Employment, Equity Ownership. Zhang:Genentech, Inc., SSF: Employment. Hernandez:Genentech, Inc.: Employment, Equity Ownership. Kwan:Genentech, Inc: Employment, Equity Ownership. Sun:Harpoon Therapeutics: Employment, Equity Ownership; F. Hoffmann-La Roche Ltd / Genentech, Inc.: Employment. Adamkewicz:Genentech, Inc.: Employment; F. Hoffmann-La Roche Ltd: Equity Ownership. Wang:Genentech, Inc.: Employment; F. Hoffmann-La Roche Ltd: Equity Ownership. Dimier:F. Hoffmann-La Roche Ltd: Employment, Equity Ownership. Lim:Genentech, Inc.: Employment. O'Hear:F. Hoffmann-La Roche Ltd: Equity Ownership; Genentech, Inc.: Employment. Sehn:Merck: Consultancy, Honoraria; TG Therapeutics: Consultancy, Honoraria; Abbvie: Consultancy, Honoraria; TG Therapeutics: Consultancy, Honoraria; Janssen-Ortho: Consultancy, Honoraria; Celgene: Consultancy, Honoraria; Astra Zeneca: Consultancy, Honoraria; TEVA Pharmaceuticals Industries: Consultancy, Honoraria; Seattle Genetics: Consultancy, Honoraria; Morphosys: Consultancy, Honoraria; TEVA Pharmaceuticals Industries: Consultancy, Honoraria; F. Hoffmann-La Roche/Genentech: Consultancy, Honoraria, Research Funding; Apobiologix: Consultancy, Honoraria; Acerta: Consultancy, Honoraria; Kite Pharma: Consultancy, Honoraria; Kite Pharma: Consultancy, Honoraria; Astra Zeneca: Consultancy, Honoraria; Morphosys: Consultancy, Honoraria; Abbvie: Consultancy, Honoraria; Amgen: Consultancy, Honoraria; Gilead: Consultancy, Honoraria; Karyopharm: Consultancy, Honoraria; Takeda: Consultancy, Honoraria; Seattle Genetics: Consultancy, Honoraria; F. Hoffmann-La Roche/Genentech: Consultancy, Honoraria, Research Funding; Verastem: Consultancy, Honoraria; Amgen: Consultancy, Honoraria; Janssen-Ortho: Honoraria; Lundbeck: Consultancy, Honoraria; Acerta: Consultancy, Honoraria; Lundbeck: Consultancy, Honoraria; Merck: Consultancy, Honoraria. Flinn:AbbVie, Seattle Genetics, TG Therapeutics, Verastem: Consultancy; TG Therapeutics, Trillum Therapeutics, Abbvie, ArQule, BeiGene, Curis, FORMA Therapeutics, Forty Seven, Merck, Pfizer, Takeda, Teva, Verastem, Gilead Sciences, Astra Zeneca (AZ), Juno Therapeutics, UnumTherapeutics, MorphoSys, AG: Research Funding; F. Hoffmann-La Roche Ltd: Research Funding; Acerta Pharma, Agios, Calithera Biosciences, Celgene, Constellation Pharmaceuticals, Genentech, Gilead Sciences, Incyte, Infinity Pharmaceuticals, Janssen, Karyopharm Therapeutics, Kite Pharma, Novartis, Pharmacyclics, Portola Pharmaceuticals: Research Funding; TG Therapeutics, Trillum Therapeutics, Abbvie, ArQule, BeiGene, Curis, FORMA Therapeutics, Forty Seven, Merck, Pfizer, Takeda, Teva, Verastem, Gilead Sciences, Astra Zeneca (AZ), Juno Therapeutics, UnumTherapeutics, MorphoSys, AG: Research Funding. Yoon:Novartis: Consultancy, Honoraria; Janssen: Consultancy; Kyowa Hako Kirin: Research Funding; Amgen: Consultancy, Honoraria; Yuhan Pharma: Research Funding; Genentech, Inc.: Research Funding; MSD: Consultancy. Budde:F. Hoffmann-La Roche Ltd: Consultancy. Li:Genentech, Inc. / F. Hoffmann-La Roche Ltd: Employment. Wei:Genentech, Inc./F. Hoffmann-La Roche Ltd: Employment, Equity Ownership. OffLabel Disclosure: Mosunetuzumab (RG7828) is a full-length, fully humanized immunoglobulin G1 (IgG1) bispecific antibody targeting both CD3 (on the surface of T cells) and CD20 (on the surface of B cells). Mosunetuzumab redirects T cells to engage and eliminate malignant B cells. Mosunetuzumab is an investigational agent.

The effective upgrading of renewable resources into high value-added chemicals is of great significance to achieve the sustainable economic development, as well as the implementation of carbon neutral technologies practically....

Intracellular Ca2+ level is under strict regulation through calcium channels and storage pools including the endoplasmic reticulum (ER). Mutations in certain ion channel subunits, which cause mis-regulated Ca2+ influx, induce the excitotoxic necrosis of neurons. In the nematode Caenorhabditis elegans, dominant mutations in the DEG/ENaC sodium channel subunit MEC-4 induce six mechanosensory (touch) neurons to undergo excitotoxic necrosis. These necrotic neurons are subsequently engulfed and digested by neighboring hypodermal cells. We previously reported that necrotic touch neurons actively expose phosphatidylserine (PS), an “eat-me” signal, to attract engulfing cells. However, the upstream signal that triggers PS externalization remained elusive. Here we report that a robust and transient increase of cytoplasmic Ca2+ level occurs prior to the exposure of PS on necrotic touch neurons. Inhibiting the release of Ca2+ from the ER, either pharmacologically or genetically, specifically impairs PS exposure on necrotic but not apoptotic cells. On the contrary, inhibiting the reuptake of cytoplasmic Ca2+ into the ER induces ectopic necrosis and PS exposure. Remarkably, PS exposure occurs independently of other necrosis events. Furthermore, unlike in mutants of DEG/ENaC channels, in dominant mutants of deg-3 and trp-4, which encode Ca2+ channels, PS exposure on necrotic neurons does not rely on the ER Ca2+ pool. Our findings indicate that high levels of cytoplasmic Ca2+ are necessary and sufficient for PS exposure. They further reveal two Ca2+-dependent, necrosis-specific pathways that promote PS exposure, a “two-step” pathway initiated by a modest influx of Ca2+ and further boosted by the release of Ca2+ from the ER, and another, ER-independent, pathway. Moreover, we found that ANOH-1, the worm homolog of mammalian phospholipid scramblase TMEM16F, is necessary for efficient PS exposure in thapsgargin-treated worms and trp-4 mutants, like in mec-4 mutants. We propose that both the ER-mediated and ER-independent Ca2+ pathways promote PS externalization through activating ANOH-1.

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Prediction of human pharmacokinetics (PK) based on preclinical information for antibody–drug conjugates (ADCs) provide important insight into first‐in‐human (FIH) study design. This retrospective analysis was conducted to identify an appropriate scaling method to predict human PK for ADCs from animal PK data in the linear range. Different methods for projecting human clearance (CL) from animal PK data for 11 ADCs exhibiting linear PK over the tested dose ranges were examined: multiple species allometric scaling (CL vs. body weight), allometric scaling with correction factors, allometric scaling based on rule of exponent, and scaling from only cynomolgus monkey PK data. Two analytes of interest for ADCs, namely total antibody and conjugate (measured as conjugated drug or conjugated antibody), were assessed. Percentage prediction errors (PEs) and residual sum of squares (RSS) were compared across methods. Human CL was best estimated using cynomolgus monkey PK data alone and an allometric scaling exponent of 1.0 for CL. This was consistently observed for both conjugate and total antibody analytes. Other scaling methods either underestimated or overestimated human CL, or produced larger average absolute PEs and RSS. Human concentration‐time profiles were also reasonably predicted from the cynomolgus monkey data using species‐invariant time method with a fixed exponent of 1.0 for CL and 1.0 for volume of distribution. In conclusion, results from this retrospective analysis of 11 ADCs indicate that allometric scaling of CL with an exponent of 1.0 using cynomolgus monkey PK data alone can successfully project human PK profiles of an ADC within linear range.