Yanxiang Zhang

Sequencing-based identification of tumor tissue-of-origin (TOO) is critical for patients with cancer of unknown primary lesions. Even if the TOO of a tumor can be diagnosed by clinicopathological observation, reevaluations by computational methods can help avoid misdiagnosis. In this study, we developed a neural network (NN) framework using the expression of a 150-gene panel to infer the tumor TOO for 15 common solid tumor cancer types, including lung, breast, liver, colorectal, gastroesophageal, ovarian, cervical, endometrial, pancreatic, bladder, head and neck, thyroid, prostate, kidney, and brain cancers. To begin with, we downloaded the RNA-Seq data of 7,460 primary tumor samples across the above mentioned 15 cancer types, with each type of cancer having between 142 and 1,052 samples, from the cancer genome atlas. Then, we performed feature selection by the Pearson correlation method and performed a 150-gene panel analysis; the genes were significantly enriched in the GO:2001242 Regulation of intrinsic apoptotic signaling pathway and the GO:0009755 Hormone-mediated signaling pathway and other similar functions. Next, we developed a novel NN model using the 150 genes to predict tumor TOO for the 15 cancer types. The average prediction sensitivity and precision of the framework are 93.36 and 94.07%, respectively, for the 7,460 tumor samples based on the 10-fold cross-validation; however, the prediction sensitivity and precision for a few specific cancers, like prostate cancer, reached 100%. We also tested the trained model on a 20-sample independent dataset with metastatic tumor, and achieved an 80% accuracy. In summary, we present here a highly accurate method to infer tumor TOO, which has potential clinical implementation.

To clarify dynamic change of quality of life (QOL) in patients with stroke after treatment, and to explore the predictors associated with return to work (RTW) within 48 weeks.Patients diagnosed with stroke were enrolled. All patients enrolled were asked to fill in the Short Form 36 Health Survey. For patients with stroke, SF-36 questionnaires were measured repeatedly 4 weeks after treatment. We used phone call to find out if the patient was RTW. The investigation time was 48 weeks.Patients with stroke had lower scores in terms of physiological dimensions, such as physical functional, role limitations due to physical problems, and general health (P < .001). While patients with strokes scored significantly lower in all mental dimensions including vitality, social functioning, role limitations due to emotional problems, and mental health (P < .001). After 4-weeks treatment, we found that, except for bodily pain, scores in dimensions like physical functioning, role limitations due to physical problems, and general health had increased significantly (P < .001). Multivariate logistic regression analysis was conducted, and the result showed that older age (P = .04) and singleness (P = .03) were risk factors associated with QOL improvement in stroke patients after treatment. Outcomes of stroke patients within 48 weeks were explored. The results showed that 108 out of 136 patients RTW within 48 weeks. Average days it took for patients with cerebral infarction to return to work were 77 ± 79, significantly less than patients with cerebral hemorrhage (206 ± 159 days) and patients with subarachnoid hemorrhage (117 ± 113 days, P < .001). Multivariate analysis indicated that only QOL improvement (P = .04) and subtype of stroke (P = .01) were independent factors associated with RTW within 48 weeks.QOL of stroke patients was significantly reduced. After treatments, the physiological quality of stroke patients increased, but the psychological quality remained low. In addition, patients with cerebral hemorrhage and patients with no significant improvement in QOL are independent risk factors for RTW. Therefore, for this subgroup of the population, early diagnosis, close follow-up and monitor of the psychological state should be provided to avoid the occurrence of adverse events.

Biomaterial-based pleiotropic immune activation may effectively improve the response rate of immunotherapy and enhance the therapeutic effect of the tumor. Bacteria as a natural carrier have demonstrated great advantages in tumor targeted delivery and immune activation of the body. Herein, we construct an inactivated bacteria vector with 125I/131I labeling (125I-VNP/131I-VNP), which could retain radioiodine at the tumor site for a long time and deliver it into tumor cells and a tumor-associated macrophage (TAM), thus achieving efficient internal radioisotope therapy (IRT) of the primary tumor with good biosafety. More importantly, 131I-VNP-mediated local IRT could further stimulate robust systemic antitumor immune responses via activation of the cGAS-STING pathway of innate immunity and promotion of the maturation of DC cells for T-cell-dominated adaptive immunity. After combination with systemic checkpoint blockade therapy (αPD-L1), 131I-VNP, which induces the up-regulation of PD-L1 expression in the distant tumor, could lead to the inhibition of in situ colon cancer and protection against tumor rechallenge. Our strategy pioneers the use of an inactivated bacteria vector as a bridge to cleverly connect radiotherapy and immunotherapy and provide an enlightening idea for radio-immunotherapy mediated by pleiotropic immune activation functions of bacterial vectors.

The special metabolic traits of cancer cells and tumor-associated macrophages (TAMs) in the tumor microenvironment (TME) are promising targets for developing novel cancer therapy strategies, especially the glycolysis and mitochondrial energy metabolism. However, therapies targeting a singular metabolic pathway are always counteracted by the metabolic reprogramming of cancer, resulting in unsatisfactory therapeutic effect. Herein, this work employs poly(ethylene glycol)-coated (PEGylated) liposomes as the drug delivery system for both mannose and levamisole hydrochloride to simultaneously inhibit glycolysis and restrain mitochondrial energy metabolism and thus inhibit tumor growth. In combination with radiotherapy, the liposomes can not only modulate the immunosuppressive TME by cellular metabolism regulation to achieve potent therapeutic effect for local tumors, but also suppress the M2 macrophage proliferation triggered by X-ray irradiation and thus enhance the immune response to inhibit metastatic lesions. In brief, this work provides a new therapeutic strategy targeting the special metabolic traits of cancer cells and immunosuppressive TAMs to enhance the abscopal effect of radiotherapy for cancer.

The therapy of solid tumors is always hampered by the intrinsic tumor physical microenvironment (TPME) featured with compact and rigid extracellular matrix (ECM) microstructures. Herein, we introduce nattokinase (NKase), a thrombolytic healthcare drug, to comprehensively regulate the TPME for versatile enhancement of various therapy modalities. Intratumoral injection of NKase not only degrades the major ECM component fibronectin but also inhibits cancer-associated fibroblasts (CAFs) in generating fibrosis, resulting in decreased tumor stiffness, enhanced perfusion, and hypoxia alleviation. The NKase-mediated regulation of the TPME significantly promotes the tumoral accumulation of therapeutic agents, leading to efficient chemotherapy without inducing side effects. Additionally, the enhancement of tumor radiotherapy based on radiosensitizers was also achieved by the pretreatment of intratumorally injected NKase, which could be ascribed to the elevated oxygen saturation level in NKase-treated tumors. Moreover, a xenografted human breast MDB-MA-231 tumor model is established to evaluate the influence of NKase on chimeric antigen receptor (CAR)-T cell therapy, illustrating that the pretreatment of NKase could boost the infiltration of CAR-T cells into tumors and thus be a benefit for tumor inhibition. These findings demonstrate the great promise of the NKase-regulated TPME as a translational strategy for universal enhancement of therapeutic efficacy in solid tumors by various treatments.