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Expression patterns of potential targets for antibody-directed therapy in metastatic castration-resistant prostate cancer patients.

INTRODUCTION: Survival in metastatic castration-resistant prostate cancer (mCRPC) patients remains limited and treatment is complicated by tumor heterogeneity. As antibody-based therapeutics emerge, identifying actionable antigen targets and patient subgroups most likely to benefit is essential. MATERIALS & METHODS: Gene expression of 62 antibody-targetable proteins was analyzed in 296 mCRPC biopsies. These genes encode proteins targeted by approved or investigational antibody-based cancer therapeutics. Associations between target expression with genomic classifications and transcriptomic subtypes were evaluated. Target expression was also assessed in tumors with low expression of established mCRPC targets. Subgroup-specific targets were validated in an independent cohort and single-cell transcriptomics. RESULTS: Established targets KLK2, FOLH1 (PSMA) and STEAP1 showed the highest median expression across the cohort. Target expression did not correlate with genomic classifications, including homologous recombination deficiency, microsatellite instability, CDK12, TP53, PTEN or AR alterations Target expression did associate with transcriptomic subtypes: CRPC-AR (driven by androgen receptor-signaling) and CRPC-SCL (stem cell-like features, AP-1/YAP/TAZ-driven), displayed the highest expression of multiple targets, including KLK2, FOLH1, and SLC44A4. CRPC-NE (neuroendocrine phenotype) showed heterogeneous expression, with high CD46 expression, whereas CRPC-WNT (Wnt-signaling driven) generally showed low target expression. Notably, CD46 was highly expressed in tumors with low KLK2, FOLH1, and STEAP1 expression, a subgroup associated with poor prognosis. CONCLUSIONS: Although several antibody targets showed broad expression in mCRPC-tumors, expression varied by transcriptomic subtype. Subgroups such as CRPC-WNT expressed fewer targets, suggesting the need for alternative therapeutic strategies. CD46 emerged as a promising target, with wide expression across multiple subtypes, including clinically challenging CRPC-NE and mCRPC tumors lacking expression of established targets.

Humans

A plasmid-associated immunoglobulin-binding protein in Acinetobacter baumannii.

BACKGROUND: Acinetobacter baumannii is a critical global health threat due to multidrug resistance and high mortality. Although antimicrobial resistance mechanisms are well characterised, the virulence determinants that drive severe infections remain poorly understood. METHODS: We screened 89 carbapenem-resistant clinical isolates of A. baumannii for virulence in animal infection models and combined comparative genomics with functional assays to identify virulence factors. An immunoglobulin-binding protein from A. baumannii (ImbA) encoded on the type D plasmid was selected and characterised. Protein-immunoglobulin interactions were analysed by pull-down and biolayer interferometry. Additional ImbA inhibition of IgG-Fcγ receptor binding by flow cytometry were tested. Protective efficacy was evaluated in mice using vaccination or anti-ImbA antibodies. FINDINGS: A type D plasmid was consistently linked to high virulence in clinical isolates. The deletion of plasmid-encoded ImbA attenuated virulence. ImbA bound murine IgA and IgG with high affinity. The binding to the Fc region of IgG disrupted IgG-Fcγ receptor interactions. Vaccination with recombinant ImbA improved survival and reduced bacterial dissemination in female mice with anti-ImbA antibodies partially protecting against lethal infection. Bacterial burdens in the blood were reduced in treated groups. INTERPRETATION: Our study demonstrates ImbA as an unrecognised plasmid-encoded virulence factor in A. baumannii. By intercepting host immunoglobulins, ImbA drives immune evasion and hypervirulence. Blocking ImbA by vaccination and antibody therapy restored host defence and improved outcomes in female mice, highlighting ImbA as a non-antibiotic therapeutic target with potential against multidrug-resistant A. baumannii. FUNDING: Bio&Medical Technology Development Program of the National Research Foundation (NRF), funded by the Korean government (MSIT) (No. RS-2023-00219213); Korea Research Institute of Bioscience and Biotechnology (KRIBB) Research Initiative Program.

Animals

Antiadalimumab Antibodies in Patients With Inflammatory Ocular Diseases: Incidence and Clinical Outcomes.

PURPOSE: To determine the incidence, effect on adalimumab drug levels, and clinical consequences of antiadalimumab antibody formation, and to assess potential risk factors. DESIGN: Retrospective clinical cohort study. PARTICIPANTS: One hundred twenty-eight patients treated with adalimumab who underwent antiadalimumab antibody monitoring. METHODS: Beginning October 2023, regularly scheduled antiadalimumab antibody and adalimumab level testing was begun. Using staggered entry analysis, anchored observation to treatment initiation, incidence was calculated. Time-updated models evaluated risk factors for antiadalimumab antibody formation. MAIN OUTCOME: Incidence of antiadalimumab antibodies. RESULTS: Antiadalimumab antibodies developed in 37 of 128 patients for a rate of 0.077 per person-year (PY) (95% confidence interval [CI] 0.055/PY, 0.104/PY). Median serum adalimumab concentrations were significantly lower in antiadalimumab antibody-positive blood samples (2.6 &#xb5;g/mL; interquartile range 0.8, 7.0) than in antibody-negative samples (10.2 &#xb5;g/mL; interquartile range 6.9, 15.1), P < .00001. In time-updated analyses, there was a suggestion that concomitant immunosuppression was associated with a reduced risk of antiadalimumab antibodies (odds ratio [OR] 0.64; 95% CI 0.37, 1.10; P = .10) and weekly adalimumab dosing was associated with a reduced risk (OR 0.62; 95% CI 0.42, 0.91; P = .01). Antiadalimumab antibodies were associated with active ocular inflammation (OR 3.68; 95% CI 1.99, 6.82; P < .00001). CONCLUSIONS: Antiadalimumab antibodies occur commonly among patients treated with long-term adalimumab, with a cumulative incidence of nearly 50% by 8 years of therapy. Antibody formation was associated with lower serum adalimumab levels and active ocular inflammation.

Humans

Nipah virus in the era of global connectivity: molecular evolution, transmission risk, and preparedness strategies.

Nipah virus (NiV) is a highly pathogenic zoonotic RNA virus belonging to the genus Henipavirus within the family Paramyxoviridae, representing a continuing global health concern due to its high case fatality rate and potential for epidemic expansion in the era of increasing international connectivity. The virus demonstrates strong evolutionary adaptability driven by the absence of proofreading mechanisms during RNA replication, enabling genetic diversification that may influence host range, virulence, and transmission dynamics. Molecular pathogenesis of NiV is primarily mediated through interaction of viral glycoproteins with ephrin-B2 and ephrin-B3 receptors, facilitating host cell entry, endothelial damage, and neuroinvasion. Immune evasion facilitated by the action of accessory proteins encoded by the P gene (P, V, W, and C) acts to suppress innate antiviral immunity through the inhibition of interferon induction and JAK/STAT signaling. Human-to-human transmission of Nipah virus remains limited, with epidemiological evidence indicating basic reproduction numbers generally below unity; however, respiratory involvement and healthcare-associated exposure may enhance cluster outbreaks. Global travel, ecological disruption, and fragmented surveillance systems contribute to spillover risk, particularly in South and Southeast Asia where fruit bats of the genus Pteropus serve as natural reservoirs. Despite advances in vaccine technology, including subunit, viral vector, mRNA-based platforms, and monoclonal antibody therapies, no licensed prophylactic or therapeutic agent is currently available for human use. Global preparedness remains challenged by the scarcity of high-containment biosafety facilities, limited research funding, and absence of integrated One Health surveillance networks. Ethical considerations surrounding wildlife population control further complicate disease mitigation strategies. Emerging genomic surveillance, artificial intelligence-assisted predictive modeling, and regional data-sharing frameworks are essential for early detection and response. Strengthening molecular research on viral-host interactions and transmission determinants will be critical for preventing future Nipah virus outbreaks in an increasingly interconnected world.

Genomic surveillance

The 2026 Bundibugyo Ebola Outbreak: A Warning for Global Preparedness for Future Epidemics.

Dear Editor, The 2026 Bundibugyo Ebolavirus (BDBV) outbreak has once again demonstrated that the threat of emerging diseases remains a major global health challenge. The outbreak, first detected in the Democratic Republic of Congo (DRC) and spread to Uganda, is not only a regional crisis but also a test of the world's preparedness for pathogens with epidemic potential. Unlike Zaire Ebolavirus (EBOV), which has benefited from effective vaccines and treatments in recent years, BDBV still lacks a licensed vaccine or specific treatment[1]. As of June 6, a total of 515 laboratory-confirmed cases and 91 deaths have been reported in DRC, while Uganda has reported 19 laboratory-confirmed cases and two deaths. The occurrence of unexplained deaths among both the community and healthcare workers, along with prior reports of an unidentified hemorrhagic fever, suggest that the outbreak has been likely originated in March 2026 or even earlier. Accordingly, the virus is believed to have spread unnoticed for several weeks before being identified through genomic sequencing in mid-May 2026[2]. The resurgence of Ebola in Africa results from a complex interaction of environmental, social, and political factors. Deforestation, the development of mining activities, the expansion of agriculture, and increased human contact with wildlife have elevated the likelihood of spillovers from wildlife reservoirs, particularly fruit bats, which are considered the most likely natural hosts of ebolaviruses. Moreover, weak disease surveillance systems and limited access to health services have delayed the identification of early cases. The similarity of the initial symptoms of Ebola to other endemic diseases in the region, such as malaria, makes early diagnosis difficult and provides ample opportunity for transmission to spread. Insecurity, misinformation, attacks on healthcare facilities, and armed conflict in the region have also posed serious challenges to the implementation of contact tracing programs and rapid response to the epidemic[3,4]. One of the most critical challenges highlighted by this outbreak is the weakness of diagnostic capacities in the affected areas. The initial 2007 outbreak of BDBV proved that delayed lab confirmation paralyzes public health responses[5]. Now, dealing with a much larger outbreak in 2026, the persistence of this challenge highlights a dangerous failure to invest in diagnostic infrastructure over the last 19 years. Many health facilities do not have access to molecular laboratories, rapid sample transport systems, and biosafety infrastructure[6]. These limitations delay the diagnosis and isolation of patients, thus perpetuating disease transmission. Investment in the development of mobile laboratories, rapid point-of-care diagnostic tests, and digital reporting systems can dramatically reduce the time to diagnosis and response to an outbreak. The BDBV outbreak shows that laboratory preparedness must be considered an essential part of global health security. Furthermore, the early detection of emerging pathogens depends not only on diagnostic technologies but also on the expertise of local scientists who are able to recognize unusual epidemiological and laboratory patterns. During the current outbreak, suspected Ebola cases initially tested negative using common diagnostic tests (designed for Zaire Ebola Virus), which delayed the identification of the BDBV. Specifically, field-based diagnostics in Bunia were calibrated exclusively to detect the EBOV responsible for recent Congolese outbreaks. Consequently, patient samples collected throughout late April and early May yielded negative results, requiring cross-country transport to Kinshasa for genomic confirmation[2]. This experience revealed a major vulnerability in outbreak preparedness: diagnostic tools designed for known threats may be ineffective in detecting less common or unexpected pathogens. Therefore, strengthening local scientific capacities, developing genomic surveillance, and expanding access to flexible and adaptable diagnostic platforms should be considered as a top priority for global health security. The lack of a licensed vaccine for BDBV was one of the most significant challenges of this epidemic. While the rVSV-ZEBOV vaccine has played a significant role in controlling Zaire ebolavirus, there is no licensed vaccine for BDBV. In response to this outbreak, efforts to develop mRNA-based vaccines, adenoviral vectors, rVSV-based vaccines, and multipotent vaccines have been accelerated[7]. However, the experience of this epidemic has shown that the development of medical products for rare diseases continues to face financial and investment constraints. This challenge highlights the need for sustained support from governments and international institutions for research and development of pathogens with epidemic potential. The 2026 Bundibugyo outbreak provides several key lessons for the global community. First, early detection and rapid diagnosis are the most important factors in containing the epidemic. The 19-year interval between the 2007 BDBV outbreak and the 2026 outbreak underscores persistent shortcomings in investment toward decentralized, pan-ebolavirus diagnostic infrastructure, with diagnostic delays hindering timely outbreak identification in both instances. Second, the trust and active participation of local communities are as important as medical interventions. Additionally, the rapid cross-border transmission dynamics between the DRC and Uganda demonstrate that blanket travel restrictions and border closures are impractical. As communities in the Great Lakes region routinely cross national borders for trade and healthcare, coordinated regional surveillance and timely information sharing are likely to be more effective than broad border closures in mitigating disease transmission[8]. Third, the protection of health workers must be a priority in preparedness plans. Fourth, a "One Health" approach is essential for simultaneous monitoring of humans, animals, and the environment. Although BDBV is not a new pathogen, the lack of licensed medical interventions and limited investment in research reflect many of the vulnerabilities associated with the concept of "Disease X."[9]. Unlike Zaire Ebola Virus, for which licensed vaccines and monoclonal antibody therapies are available, BDBV forces public health responses to rely almost entirely on non-pharmaceutical interventions such as isolation and infection control[10]. This gap reflects the structural inequity in global health research and development funding, with pathogens affecting resource-limited regions receiving insufficient attention until they spark an international emergency[2]. The BDBV outbreak proves that global epidemic preparedness cannot be pathogen-selective; it requires proactive investment in broad-spectrum countermeasures and resilient frontline health systems[8]. In conclusion, the 2026 BDBV outbreak is a serious wake-up call for the global health system. The epidemic revealed that gaps in surveillance systems, diagnostic capacities, vaccine development, and preparedness for emerging diseases persist. Investing in health infrastructure, developing Pan-Ebolavirus vaccines, strengthening laboratories, expanding the One-Health approach, and supporting research on emerging zoonotic pathogens must be at the top of global health security priorities. Otherwise, the BDBV outbreak may be just a prelude to larger crises to come.

Ebolavirus

Target Antigen Identification for Antibody Drug Conjugate Therapy in Biliary Tract Cancer.

BACKGROUND: Data on antibody-drug conjugates (ADCs) target expression prevalence, intertumoral heterogeneity, genomic concordance, and its effect on clinical outcomes is limited in biliary tract cancers (BTC). METHODS: Resected primary BTC specimens, and when available, matched metastatic samples were assembled into tissue microarrays and tested for CLDN18.2, c-MET, Nectin-4, TROP2, and HER2 expression by immunohistochemistry (IHC). A subset underwent targeted next-generation sequencing using MSK-IMPACT (NCT01775072). Exploratory associations of target expression with clinicopathologic parameters, genomic alterations, recurrence-free (RFS), and overall (OS) survival were evaluated. RESULTS: 65 patients with resected BTC and 18 paired metastatic sites were identified-43% extrahepatic cholangiocarcinoma, 40% intrahepatic cholangiocarcinoma, and 17% gallbladder cancer. All evaluated target antigens were expressed; percent positivity and H-score &#x2265;200 were: TROP2 (83%, 26%), c-MET (75%, 26%), Nectin-4 (66%, 35%), and CLDN18.2 (46%, 7.7%). HER2 overexpression occurred in 3.1% of tumors. Overall agreement among paired primary and metastatic samples on calling either positive or negative ranged from 43% to 75% with the highest observed for HER2 [75%; &#x3ba;=0.29 (95%CI: -0.32 to 0.91)] and TROP2 (71%; &#x3ba; not available) and lowest for c-MET, CLDN18.2, and Nectin-4. Frequently altered genes included TP53 (36%), SMAD4 (27%), ELF3 (21%). We observed no significant association between target antigen expression with genomics, RFS, or OS. CONCLUSIONS: BTC displays frequent but heterogeneous expression of multiple ADC targets. These hypothesis generating findings suggest inherent complexity of target protein quantification, target threshold determination, and target sampling discordance. Future studies will be required to refine our understanding the utlitiy of ADCs in BTC.

Journal Article

MET-Aberrant non-small cell lung cancer: from kinase dependence to cell-surface targetability-mechanistic basis and biomarker framework for bispecific antibodies and antibody-drug conjugates.

MET-aberrant non-small cell lung cancer (NSCLC) is not a uniform therapeutic entity. Its biology, diagnostic pathways, and treatment sensitivity differ across MET exon 14 skipping alteration (METex14), MET amplification, and MET overexpression. This heterogeneity cannot be fully explained by conventional event-based classification and is reflected in the distinct clinical activity of MET tyrosine kinase inhibitors (MET-TKIs), bispecific antibodies (BsAbs), and antibody-drug conjugates (ADCs). With the emergence of antibody-based therapies, MET has evolved from a signaling driver to a cell-surface target for receptor modulation and payload delivery. We therefore propose a clinically anchored two-dimensional framework for interpreting therapeutic relevance in MET-aberrant NSCLC: kinase dependence and cell-surface targetability. Neither dimension should be regarded as a directly measurable binary variable. Kinase dependence is inferred from genomic and treatment-contextual proxies, most strongly METex14 and, more conditionally, high-level focal MET amplification. Cell-surface targetability is approximated by drug-specific IHC assessment of assay-defined c-MET protein expression; however, receptor internalization, intracellular trafficking, and payload delivery capacity remain incompletely measurable in routine clinical practice. Within this framework, MET-TKIs have the most evidence-supported established role in tumors with evidence of MET-driven kinase dependence. EGFR &#xd7; MET BsAbs have demonstrated clinical activity in broad post-osimertinib EGFR-mutant NSCLC, while EGFR/MET co-dependence or MET-mediated bypass activation provides a mechanistic rationale for their use; MET-defined preferential benefit remains to be prospectively established. MET-directed antibody-drug conjugates (MET-ADCs) are supported in drug- and assay-defined populations with high c-MET protein overexpression, although the predictive relevance of delivery-related factors remains hypothesis-generating. Accordingly, MET testing should shift from single-event detection to platform-oriented stratification: next-generation sequencing (NGS) for driver alterations and resistance profiles, fluorescence in situ hybridization (FISH) for high-level focal amplification, and immunohistochemistry (IHC) for surface expression relevant to antibody-based therapies. This framework is intended to organize current biological and clinical evidence rather than to replace drug-specific companion diagnostics, regulatory indications, or prospectively validated treatment-selection algorithms. Precision treatment of MET-aberrant NSCLC is thus moving from event-based drug selection toward mechanism-based therapeutic matching. Future priorities include standardizing biomarkers, defining optimal target populations, and aligning biological subtypes, diagnostic strategies, and therapeutic platforms.

Antibody-drug conjugate

Autologous neutralizing antibodies increase with early antiretroviral therapy and shape HIV rebound after treatment interruption.

Early initiation of antiretroviral therapy (ART) alters viral rebound kinetics after analytic treatment interruption (ATI) and may play a role in promoting HIV-1 remission. Autologous neutralizing antibodies (aNAbs) represent a key adaptive immune response in people living with HIV-1. We aimed to investigate the role of aNAbs in shaping post-ATI HIV-1 rebound variants. We performed single-genome amplification of HIV-1 env from pre-ART and post-ATI plasma samples of 12 individuals who initiated ART early after infection. aNAb activity was quantified using pseudoviruses derived from the most common plasma variant, and the serum dilution that inhibited 50% of viral infections was determined. aNAb responses matured while participants were on suppressive ART, because on-ART plasma and purified immunoglobulin G (IgG) demonstrated improved neutralizing activity against pre-ART HIV-1 strains when compared with pre-ART plasma or purified IgG. Post-ATI aNAb responses exerted selective pressure on the rebounding viruses, because the post-ATI HIV-1 strains were more resistant to post-ATI plasma neutralization compared with the pre-ART virus. Several pre-ATI features distinguished post-treatment controllers from noncontrollers, including an infecting HIV-1 sequence that was more similar to consensus HIV-1 subtype B, more restricted proviral diversity, and a stronger aNAb response. Post-treatment control was also associated with the evolution of distinct N-glycosylation profiles in the HIV-1 envelope. In summary, aNAb responses appeared to mature after early initiation of ART and applied selective pressure on rebounding viruses. The combination of aNAb activity with select HIV-1 sequence and reservoir features identified individuals with a greater chance of post-treatment control.

Humans

Digestive cancers: mechanisms, therapeutics and management.

Cancers of the digestive system are major contributors to global cancer-associated morbidity and mortality, accounting for 35% of annual cases of cancer deaths. The etiologies, molecular features, and therapeutic management of these cancer entities are highly heterogeneous and complex. Over the last decade, genomic and functional studies have provided unprecedented insights into the biology of digestive cancers, identifying genetic drivers of tumor progression and key interaction points of tumor cells with the immune system. This knowledge is continuously translated into novel treatment concepts and targets, which are dynamically reshaping the therapeutic landscape of these tumors. In this review, we provide a concise overview of the etiology and molecular pathology of the six most common cancers of the digestive system, including esophageal, gastric, biliary tract, pancreatic, hepatocellular, and colorectal cancers. We comprehensively describe the current stage-dependent pharmacological management of these malignancies, including chemo-, targeted, and immunotherapy. For each cancer entity, we provide an overview of recent therapeutic advancements and research progress. Finally, we describe how novel insights into tumor heterogeneity and immune evasion deepen our understanding of therapy resistance and provide an outlook on innovative therapeutic strategies that will shape the future management of digestive cancers, including CAR-T cell therapy, novel antibody-drug conjugates and targeted therapies.

Humans

Construction of Reverse Genetics System for Feline Calicivirus FCV-BJ616 and Proteomic Analysis.

Feline calicivirus (FCV) is a primary cause of upper respiratory tract infections and oral ulcerative disease in cats and exhibits substantial genetic diversity that complicates prevention and control. In this study, we isolated the FCV-BJ616 strain, established a reverse-genetics system, and investigated its pathogenic mechanisms, thereby providing a foundation for antibody-based therapies and broad-spectrum vaccine development. The virus was purified by three rounds of plaque cloning, and its morphology was examined by electron microscopy. VP1 expression was confirmed by immunofluorescence and Western blotting. Using integrated systems-biology and reverse-genetics approaches, an infectious clone of rFCV-BJ616 was successfully assembled and rescued, exhibiting genetic stability comparable to that of the parental strain. In vivo infection experiments showed that rFCV-BJ616 retained wild-type virulence, causing persistent high fever, weight loss, and multiorgan pathology in infected cats. Proteomic analysis indicated that infection with FCV-BJ616 or rFCV-BJ616 markedly activated cytokine-mediated inflammatory signaling pathways. Both FCV-BJ616 and rFCV-BJ616 significantly upregulated the expression of IL-8, S100A8/A9, and TLR3, which are associated with acute inflammation and tissue damage. Furthermore, elevated IFN-&#x3b2; levels concomitant with STAT1 downregulation suggested a transient attenuation of antiviral signaling during early immune activation. These findings were corroborated by ELISA-based validation of serum cytokine profiles. Collectively, this study provides new insights into the molecular pathogenesis and evolution of FCV-BJ616 and establishes a robust reverse-genetics platform for precise genome manipulation and future vaccine development.

Animals

Novel immunotherapeutic strategies for colorectal cancer treatment: Advances, challenges, and future directions.

Immunotherapy has reshaped the treatment landscape of colorectal cancer (CRC), with the clearest and most durable benefit established in mismatch repair-deficient (dMMR)/microsatellite instability-high (MSI-H) disease. However, framing CRC immunotherapy simply as "MSI-H responsive versus microsatellite stable (MSS) resistant" is no longer sufficient. Recent studies indicate that a subset of proficient mismatch repair (pMMR) colon cancers, particularly in the neoadjuvant setting, can mount clinically meaningful responses to immune checkpoint blockade, suggesting that disease stage, local immune organization, and treatment timing critically influence immunotherapy sensitivity. In parallel, emerging evidence has expanded the relevant immune landscape beyond the tumor bed itself, showing that spatially organized stromal and adipose niches can actively divert tumor-reactive lymphocytes and promote immune escape. These advances shift the central challenge in CRC immunotherapy from simply identifying new agents to defining when and in whom immune resistance is reversible, and which biological bottlenecks-such as vascular dysfunction, myeloid suppression, and spatial immune exclusion-must be overcome. In this context, alternative checkpoint inhibitors, bispecific antibodies, cellular therapies, vaccines, nanotechnology-enabled platforms, and microbiome-targeted approaches remain important, but their translational maturity and evidentiary support differ substantially. Biomarker development is likewise evolving from static genomic classification toward dynamic and mechanism-informed stratification incorporating circulating tumor DNA (ctDNA), chromosomal instability, immune architecture, and treatment-induced response trajectories. This review synthesizes recent advances in CRC immunotherapy while emphasizing evidence hierarchy, biomarker-guided patient selection, and the mechanistic basis of combination strategies. We argue that the next phase of CRC immunotherapy will depend less on the indiscriminate addition of novel agents and more on the rational deployment of immunotherapy across molecularly, spatially, and temporally defined disease states.

Humans

PepMapViz: a versatile toolkit for peptide mapping, visualization, and comparative exploration.

SUMMARY: PepMapViz is a versatile R package that provides flexible peptide mapping and visualization capabilities. PepMapViz can import peptide data output from multiple popular mass spectrometry analysis tools, map peptides to their parent protein sequences, highlight protein domains and modifications, and enable comparative visualization across multiple experimental conditions. Beyond enabling visualization of MHC-presented peptide clusters in different antibody regions to predict potential immunogenicity of antibody-based therapies, PepMapViz can also aid in the visualization of cross-software mass spectrometry results at the peptide level for specific proteins, domain details in a linearized format, and post-translational modification coverage across different experimental conditions. AVAILABILITY AND IMPLEMENTATION: PepMapViz is freely available on GitHub at https://github.com/Genentech/PepMapViz and on CRAN. The package is implemented in R and includes documentation and example datasets.

Software

Acute leukemia therapy at a crossroads: from conventional chemotherapy to the era of precision medicine.

Since the discovery of cytotoxic agents in the mid-20th century, acute leukemia has consistently served as a model for oncology research. As the Human Genome Project and subsequent genomic profiling elucidated the landscape of somatic mutations and cytogenetic aberrations driving leukemogenesis, the development of molecularly targeted therapies has dramatically accelerated, yielding significant improvements in patient outcomes. In acute myeloid leukemia (AML), the emergence of selective inhibitors targeting high-frequency alterations such as FLT3, NPM1, and IDH1/2 has redefined the standard of care, demonstrating superior efficacy when combined with conventional intensive chemotherapy or hypomethylating agents. Simultaneously, for acute lymphoblastic leukemia (ALL), in addition to the significant improvements achieved by tyrosine kinase inhibitors (TKIs) for BCR-ABL-positive ALL, the advent of CD19- or CD22-targeted monoclonal antibodies and CAR-T cell therapies has marked an epoch-making milestone, representing a major paradigm shift in the management of relapsed or refractory cases. Bridging these two distinct lineages, menin inhibitors have emerged as a novel class of agents targeting a common pathogenic mechanism in KMT2A-rearranged AML/ALL and NPM1-mutated AML, exhibiting promising antileukemic activity across these subtypes. In this review, we describe the evolution of leukemia therapy-highlighting historical trajectory across AML, APL, and ALL from uniform cytotoxic chemotherapy to molecularly targeted agents, antibody-based therapies, and chemo-free paradigms, while outlining future perspectives for precision hematology.

Acute lymphoblastic leukemia

Oncolytic HSV-1-Mediated JAG1 Blockade Induces Glioma Senescence-Associated Secretory Phenotype to Increase Macrophage Activation and Cetuximab-Mediated Senolysis.

UNLABELLED: Oncolytic HSV-1 (oHSV) treatment induces Notch signaling and myelosuppression in the tumor microenvironment (TME) of preclinical cancer models. Clinically, the Notch ligand JAG1 was upregulated in patients with recurrent high-grade glioma treated with the oHSV CAN-3110 and correlated with poor prognosis. To better understand endogenous JAG1-mediated signaling in glioma cells and tumor-associated macrophages (TAM), we engineered a JAG1-antagonizing oHSV (OD-0J1) and interrogated its impact on cancer and myeloid cells in the TME. OD-0J1 antagonized JAG1-mediated Notch signaling and suppressed tumor growth in athymic nude and humanized mice, an effect reliant on Notch signaling in tumor cells. Kinome profiling revealed that OD-0J1 treatment suppressed CDK1, resulting in activation of the G2-M cell cycle checkpoint. Cell cycle arrest led to senescence and correlated with increased reactive oxygen species, p62, and autophagosome accumulation and senescence-associated &#x3b2;-galactosidase activity. OD-0J1-induced senescence resulted in increased production of inflammatory chemokines and damage-associated molecular patterns (DAMP), such as IL1&#x3b2;, HMGB1, and extracellular ATP. Coculturing macrophages with OD-0J1-infected tumor cells led to stimulation of chemotactic and proinflammatory pathways, as well as increased Fc receptor activation. Single-cell RNA sequencing and flow cytometric analysis of F4/80+ cells isolated from tumors showed a shift from tumor-supporting TAMs to inflammatory macrophages upon OD-0J1 treatment. Heightened EGFR activation in senescent cells was a mechanism to escape cell death, which created a unique opportunity for cetuximab as a senolytic agent. Combination therapy reduced EGFR signaling and induced macrophage-mediated antibody-dependent cellular cytotoxicity, thereby increasing the antitumor therapeutic efficacy of OD-0J1. SIGNIFICANCE: Leveraging JAG1 antagonism in the context of oncolytic virotherapy rewires macrophage polarization within the tumor microenvironment, which has wide implications for sensitizing tumors to antibodies, senolytic agents, and BiTE therapies.

Humans

Netupitant versus aprepitant: model-predicted neurokinin-1 receptor occupancy and implications for long-delayed nausea and vomiting prevention.

PURPOSE: Nausea and vomiting beyond 5&#xa0;days after emetogenic chemotherapy or antibody-drug conjugate (ADC) therapy are common, yet the role of neurokinin-1 (NK1) receptor antagonists in this setting remains underrecognized. We used pharmacokinetic/pharmacodynamic (PK/PD) modeling to estimate the NK1 receptor occupancy (RO), a proxy for clinical efficacy, for up to 20&#xa0;days after a single 300&#xa0;mg dose of oral netupitant, 3-day oral aprepitant (125&#xa0;mg on day 1; 80&#xa0;mg on days 2-3), or a single 165&#xa0;mg dose of oral aprepitant. METHODS: Data from previous PK studies were analyzed by compartmental modeling. Positron emission tomography studies assessing striatal NK1 RO were used to develop maximum drug effect PD models, which were fitted to NK1 RO data as a function of plasma concentrations. RESULTS: Model predicted NK1 RO exceeded 90% at 3&#xa0;h for all treatments. Thereafter, RO declined more gradually with netupitant (76%, 70%, 60%, and 21% on days 5, 7, 10, and 20, respectively) than with 3-day aprepitant (81%, 39%, 3%, and negligible) or single-dose aprepitant (45%, 10%, <&#x2009;1%, and negligible). The half-life of netupitant was ~&#x2009;6.1 times longer than aprepitant's. Netupitant plasma concentration remained above the effective concentration for 50% NK1 RO (EC50) through day 10, whereas aprepitant concentrations fell below the EC50 by ~&#x2009;days 7 and 5 after repeated and single dosing, respectively. CONCLUSIONS: Single-dose netupitant maintained NK1 RO substantially longer than repeated- and single-dose aprepitant, suggesting greater potential for prolonged prevention of nausea and vomiting in ADC-treated patients. Prospective clinical validation of these model predictions would be beneficial.

Aprepitant

Maternal disease control and pregnancy outcomes with anti-CD20 therapy versus natalizumab in multiple sclerosis: a systematic review.

BACKGROUND: Management of multiple sclerosis (MS) during pregnancy requires balancing maternal disease control with fetal safety. Among high-efficacy disease-modifying therapies, anti-CD20 monoclonal antibodies and natalizumab are commonly used in women with active disease, yet their comparative effectiveness and safety during pregnancy remain incompletely defined. This systematic review evaluated maternal disease activity and pregnancy-related outcomes associated with anti-CD20 exposure compared with natalizumab in pregnant women with MS. METHODS: PubMed/MEDLINE, Web of Science, Scopus, and the Cochrane Library were searched from inception through February 2026. Eligible studies included pregnant women with MS exposed to anti-CD20 before or during pregnancy and reporting maternal disease activity compared to natalizumab. RESULTS: Seven studies were included, comprising six observational cohort studies and one pharmacovigilance disproportionality analysis. Across studies, anti-CD20 exposure was consistently associated with lower relapse activity than natalizumab, particularly in the postpartum period. Anti-CD20 strategies were also associated with markedly lower postpartum MRI activity and more favorable disability-related outcomes where reported. Meta-analysis of three studies demonstrated a significant reduction in postpartum MRI activity with anti-CD20 therapy compared with natalizumab (RR 0.06, 95% CI 0.02-0.24; I&#xb2; = 0%). No clear increase in major congenital anomalies was identified, although some data suggested higher odds of small for gestational age and maternal antibiotic use with anti-CD20 exposure. CONCLUSIONS: Anti-CD20 therapy was associated with lower maternal disease activity than natalizumab during pregnancy, especially for relapse prevention and postpartum MRI suppression. However, evidence regarding fetal and neonatal safety remains limited, warranting cautious individualized treatment decisions and further comparative research.

Humans

NSCLC in Vulnerable and Special Populations: Toward Personalized Care.

NSCLC encompasses a heterogeneous patient population whose clinical needs, biological features, and treatment outcomes differ substantially from those represented in pivotal studies. Adolescents and young adults, women, pregnant patients, individuals with actionable genomic alterations or constitutional pathogenic variants, immunocompromised patients, including those with chronic viral infections, older adults, patients with brain metastases, and survivors with second primary lung cancers remain consistently underrepresented in research programs. This limits the generalizability of current evidence and challenges the delivery of equitable precision oncology. Across these populations, distinct disease biology, differential genomic landscapes, sex- and age-related variations in pharmacology, and complex psychosocial or ethical considerations shape clinical decision-making. Advances in molecular testing and targeted therapies have improved outcomes for some subgroups; however, persistent disparities in diagnostic access, trial eligibility, and supportive care remain major barriers. In parallel, modern systemic agents including brain-penetrant targeted therapies, immunotherapy combinations, and antibody-drug conjugates have broadened therapeutic options, although their safety, effectiveness, and long-term consequences require dedicated evaluation in underrepresented populations. This review synthesizes contemporary evidence from these special NSCLC populations, highlighting shared challenges and unique considerations. We discuss implications for clinical practice, supportive care, survivorship, and research design and outline opportunities to strengthen inclusivity in precision oncology. Addressing longstanding gaps in representation, trial methodology, and structural inequities is essential to ensure that recent therapeutic advances translate into improved outcomes for the full spectrum of patients living with NSCLC.

Humans

ImmunoTar-integrative prioritization of cell surface targets for cancer immunotherapy.

MOTIVATION: Cancer remains a leading cause of mortality globally. Recent improvements in survival have been facilitated by the development of targeted and less toxic immunotherapies, such as chimeric antigen receptor (CAR)-T cells and antibody-drug conjugates (ADCs). These therapies, effective in treating both pediatric and adult patients with solid and hematological malignancies, rely on the identification of cancer-specific surface protein targets. While technologies like RNA sequencing and proteomics exist to survey these targets, identifying optimal targets for immunotherapies remains a challenge in the field. RESULTS: To address this challenge, we developed ImmunoTar, a novel computational tool designed to systematically prioritize candidate immunotherapeutic targets. ImmunoTar integrates user-provided RNA-sequencing or proteomics data with quantitative features from multiple public databases, selected based on predefined criteria, to generate a score representing the gene's suitability as an immunotherapeutic target. We validated ImmunoTar using three distinct cancer datasets, demonstrating its effectiveness in identifying both known and novel targets across various cancer phenotypes. By compiling diverse data into a unified platform, ImmunoTar enables comprehensive evaluation of surface proteins, streamlining target identification and empowering researchers to efficiently allocate resources, thereby accelerating the development of effective cancer immunotherapies. AVAILABILITY AND IMPLEMENTATION: Code and data to run and test ImmunoTar are available at https://github.com/sacanlab/immunotar.

Humans