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Abstract Background The surge in omicron variants has caused nationwide breakthrough infections in mainland China since the December 2022. In this study, we report the neutralization profiles of serum samples from the patients with breast cancer and the patients with liver cancer who had contracted subvariant breakthrough infections. Methods In this real‐world study, we enrolled 143 COVID‐19‐vaccinated (81 and 62 patients with breast and liver cancers) and 105 unvaccinated patients with cancer (58 and 47 patients with breast and liver cancers) after omicron infection. Anti‐spike receptor binding domain (RBD) IgGs and 50% pseudovirus neutralization titer (pVNT50) for the preceding (wild type), circulating omicron (BA.4‐BA.5, and BF.7), and new subvariants (XBB.1.5) were comprehensively analyzed. Results Patients with liver cancer receiving booster doses had higher levels of anti‐spike RBD IgG against circulating omicron (BA.4‐BA.5, and BF.7) and a novel subvariant (XBB.1.5) compared to patients with breast cancer after breakthrough infection. Additionally, all vaccinated patients produced higher neutralizing antibody titers against circulating omicron (BA.4‐BA.5, and BF.7) compared to unvaccinated patients. However, the unvaccinated patients produced higher neutralizing antibody against XBB.1.5 than vaccinated patients after Omicron infection, with this trend being more pronounced in breast cancer than in liver cancer patients. Moreover, we found that there was no correlation between anti‐spike RBD IgG against wildtype virus and the neutralizing antibody titer, but a positive correlation between anti‐spike RBD IgG and the neutralizing antibody against XBB.1.5 was found in unvaccinated patients. Conclusion Our study found that there may be differences in vaccine response and protective effect against COVID‐19 infection in patients with liver and breast cancer. Therefore, we recommend that COVID‐19 vaccine strategies should be optimized based on vaccine components and immunology profiles of different patients with cancer.

Abstract Molecular subtyping of cancer can greatly help to understand the development of disease and predict tumor behavior. Exploring detection methods for precise subtyping is appealing to prognosis and personalized therapy. During the past decades, DNA‐based biosensors have exhibited great potential in cancer diagnosis due to their structural programmability and functional diversity. Despite the encouraging progress that has been made, there remains an issue in improving the accuracy and sensitivity of cancer subtyping due to the complex process of disease, especially in preclinical or clinical applications. To accelerate the development of DNA sensors in the identification of cancer subtypes, in this review, we summarized their advances in molecular subtyping by analyzing the heterogeneity in categories and levels of biomarkers between cancer subtypes. The strategies toward genomic and proteomic heterogeneity in cells or on the cell surface, as well as the cancer excretions including extracellular vesicles (EVs) and microRNA (miRNAs) in serum, are summarized. Current challenges and the opportunities of DNA‐based sensors in this field are also discussed.

CD137 (4‐1BB, TNFRSF9), an inducible T‐cell costimulatory receptor, is expressed on activated T cells, activated NK cells, Treg cells, and several innate immune cells, including DCs, monocytes, neutrophils, mast cells, and eosinophils. In animal models and clinical trials, anti‐CD137 agonistic monoclonal antibodies have shown anti‐tumor potential, but balancing the efficacy and toxicity of anti‐CD137 agonistic monoclonal antibodies is a considerable hindrance for clinical applications. Here, we describe a novel fully human CD137 agonistic antibody (PE0116) generated from immunized harbor H2L2 human transgenic mice. PE0116 is a ligand blocker, which is also the case for Utomilumab (one of the leading CD137 agonistic drugs); PE0116 partially overlaps with Urelumab's recognized epitope. In vitro, PE0116 activates NF‐κB signaling, significantly promotes T‐cell proliferation, and increases cytokine secretion in the presence of cross‐linking. Importantly, PE0116 possesses robust anti‐tumor activity in the MC38 tumor model. In vivo, PE0116 exhibits a good safety profile and has typical pharmacokinetic characteristics of an IgG antibody in preclinical studies of non‐human primates. In summary, PE0116 is a promising anti‐CD137 antibody with a good safety profile in preclinical studies.