Quantum machine learning is a rapidly growing field at the intersection of quantum computing and machine learning. In this work, we examine our quantum machine learning models, which are based on quantum support vector classification (QSVC) and quantum support vector regression (QSVR). We investigate these models using a quantum circuit simulator, both with and without noise, as well as the IonQ Harmony quantum processor. For the QSVC tasks, we use a dataset containing fraudulent credit card transactions and image datasets (the MNIST and the Fashion-MNIST datasets); for the QSVR tasks, we use a financial dataset and a materials dataset. For the classification tasks, the performance of our QSVC models using 4 qubits of the trapped-ion quantum computer was comparable to that obtained from noiseless quantum circuit simulations. The result is consistent with the analysis of our device noise simulations with varying qubit gate error rates. For the regression tasks, applying a low-rank approximation to the noisy quantum kernel, in combination with hyperparameter tuning in ε-SVR, improved the performance of the QSVR models on the near-term quantum device. The alignment, as measured by the Frobenius inner product between the noiseless and noisy quantum kernels, can serve as an indicator of the relative prediction performance on noisy quantum devices in comparison with their ideal counterparts. Our results suggest that the quantum kernel, as described by our shallow quantum circuit, can be effectively used for both QSVC and QSVR tasks, indicating its resistance to noise and its adaptability to various datasets.

Glioblastoma (GBM) is the most common type of malignant brain tumor and has a very poor prognosis. Most patients relapse within 12 months despite aggressive treatment and patient outcome after recurrent is extremely worse. This study was designed to clarify the change of the molecular expression, including programmed cell death 1 (PD-1) and PD-ligand 1 (PD-L1), on the initial and secondary resected tumor specimens and to address the influence of these expressions for patient outcome after second surgery of glioblastoma. We investigated 16 patients, ranging in age from 14 to 65 years, with histologically verified WHO grade IV GBM, whose original tumor was resected between 2008 and 2014, and treated with fractionated radiotherapy and temozolomide. Four patients who were treated with immunotherapy using autologous formalin-fixed tumor vaccine were enrolled. All of the patients underwent secondary resection after tumor recurrence within 24 months. We carried out an immunohistochemical examination of the initial and secondary resected tumors from patients using a panel of immune system molecular markers, and assessed whether marker expression correlated with clinical outcomes. CD3, CD8 and PD-1 on tumor-infiltrating lymphocytes was significantly increased in secondary resected specimens compared with initially resected specimens (p ≤ 0.05). All patients expressed PD-L1 on tumor cells in initial and secondary resection specimens. Patients were divided into high or low expression group by median IHC score of PD-1 on initial or secondary resected specimens. No significant differences in patient outcomes were observed between high and low PD-1 or PD-L1 groups of initially resected specimens. In high expression group of secondary resected specimens, most patients score had increased which compared with initial resected tumor specimens. The PD-1 high expression score group of secondary resected specimens was associated with long progression-free survival and short survival after recurrence. PD-L1 expression was detected in almost all initial and secondary specimens. Patients with high PD-1 expression of secondary specimen had bad prognosis after secondary resection. PD-1/PD-L1 pathway may be associated with patient outcome after second surgery of glioblastoma.

Various mechanisms of treatment resistance have been reported for glioblastoma (GBM) and other tumors. Resistance to immunotherapy in GBM patients may be caused by acquisition of immunosuppressive ability by tumor cells and an altered tumor microenvironment. Although novel strategies using an immune-checkpoint inhibitor (ICI), such as anti-programmed cell death-1 antibody, have been clinically proven to be effective in many types of malignant tumors, such strategies may be insufficient to prevent regrowth in recurrent GBM. The main cause of GBM recurrence may be the existence of an immunosuppressive tumor microenvironment involving immunosuppressive cytokines, extracellular vesicles, chemokines produced by glioma and glioma-initiating cells, immunosuppressive cells, etc. Among these, recent research has paid attention to various immunosuppressive cells—including M2-type macrophages and myeloid-derived suppressor cells—that cause immunosuppression in GBM microenvironments. Here, we review the epidemiological features, tumor immune microenvironment, and associations between the expression of immune checkpoint molecules and the prognosis of GBM. We also reviewed various ongoing or future immunotherapies for GBM. Various strategies, such as a combination of ICI therapies, might overcome these immunosuppressive mechanisms in the GBM microenvironment.

The prognosis of advanced (stage IV) cancer of the digestive organs is very poor. We have previously reported a case of advanced breast cancer with bone metastasis that was successfully treated with combined treatments including autologous formalin-fixed tumor vaccine (AFTV). Herein, we report the success of this approach in advanced stage IV (heavily metastasized) cases of gall bladder cancer and colon cancer. Case 1: A 61-year-old woman with stage IV gall bladder cancer (liver metastasis and lymph node metastasis) underwent surgery in May 2011, including partial resection of the liver. She was treated with AFTV as the first-line adjuvant therapy, followed by conventional chemotherapy. This patient is still alive without any recurrence, as confirmed with computed tomography, for more than 5 years. Case 2: A 64-year-old man with stage IV colon cancer (multiple para-aortic lymph node metastases and direct abdominal wall invasion) underwent non-curative surgery in May 2006. Following conventional chemotherapy, two courses of AFTV and radiation therapy were administered sequentially. This patient has had no recurrence for more than 5 years. We report the success of combination therapy including AFTV in cases of liver-metastasized gall bladder cancer and abdominal wall-metastasized colon cancer. Both patients experienced long-lasting, complete remission. Therefore, combination therapies including AFTV should be considered in patients with advanced cancer of the digestive organs.

CXCL12/CXCR4 signaling in glioma stem cells—prospects for therapeutic intervention