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Background Immune checkpoint inhibitors are a standard treatment for advanced lung cancer, although it remains important to identify biomarkers that can accurately predict treatment response. Immune checkpoint inhibitors enhance the antitumor T‐cell response, and interferon‐γ plays an important role in this process. Therefore, this study evaluated whether the number of interferon‐γ‐releasing peripheral T cells after phytohemagglutinin stimulation in the interferon‐γ release assay might act as a biomarker for the response of non‐small cell lung cancer to immune checkpoint inhibitor treatment. Methods Data were retrospectively collected regarding 74 patients with non‐small cell lung cancer who had received immune checkpoint inhibitors. Pretreatment screening tests had been performed using the T‐SPOT.TB assay, which quantifies the number of interferon‐γ‐releasing T cells (as immunospots) in response to phytohemagglutinin and tuberculosis‐specific antigen stimulation. Clinical factors and the number of spots in the T‐SPOT fields were evaluated for associations with patient outcomes. The median number of spots was used to categorize patients as having high or low values, and the two groups were compared. Results Relative to patients with a low ratio, patients with a high ratio of phytohemagglutinin/tuberculosis‐specific antigen spots (i.e. more responsive T cells) had significantly better progression‐free survival after immune checkpoint inhibitor treatment. When we only considered patients with negative T‐SPOT results, a high number of phytohemagglutinin‐stimulated spots corresponded to significantly longer progression‐free survival. Conclusion The T‐SPOT.TB assay can be used to quantify the number of immunospots in response to antigen stimulation, which may predict the response to immune checkpoint inhibitors in patients with non‐small cell lung cancer., This study evaluated whether the T‐SPOT test could be used to predict the response to immune checkpoint inhibitor treatment in patients with non‐small cell lung cancer. Among patients with negative T‐SPOT results, a high number of phytohemagglutinin‐stimulated spots was associated with longer progression‐free survival.

Background Advanced non‐small cell lung cancer (NSCLC) has a high mortality rate and poor prognosis. However, outcomes have gradually improved after the introduction of novel immunotherapies, including immune checkpoint inhibitors (ICIs). Although programmed death‐ligand 1 (PD‐L1) expression in tumor tissues is a known biomarker for guiding ICI treatment of NSCLC, challenges such as difficulty of liquid biopsy and heterogeneous results during treatment persist. This study evaluated the potential of miR200b as a surrogate biomarker for PD‐L1 expression. Methods We used the human lung cancer cell lines H226, H460, H520, A549, and H1975. miR200b expression in blood and bronchoscopy specimens of NSCLC patients was evaluated using reverse‐transcription‐quantitative PCR. Using flow cytometry, PD‐L1 expression in vitro, as well as in tumor tissues, was evaluated after transfection with a mimic miR200b or siRNA. Results miR200b expression negatively correlated with PD‐L1 expression in all cell lines. The induction or knockdown of miR200b also altered PD‐L1 expression in vitro. The patient group with a PD‐L1 tumor proportion score ≥ 50% had significantly lower miR200b expression in the bronchoscopy specimens (P = 0.025) and serum‐derived exosomes (P = 0.022) than that with PD‐L1 tumor proportion score, Relative to patients with a PD‐L1 tumor proportion score of

Background/aim Immune checkpoint inhibitors (ICIs) have an important role in lung cancer therapy. Although the programmed cell death protein-1 (PD-L1) tumor proportion score (TPS) and tumor mutational burden are known prognostic factors, they are insufficient to predict clinical outcomes. This study was conducted to identify novel biomarkers for ICI treatment. Patients and methods We performed univariable and multivariable analyses of 110 patients with advanced non-small-cell lung cancer (NSCLC) who were treated with an ICI to identify novel biomarkers related to prognosis. We assessed their backgrounds, such as performance status (PS), PD-L1 TPS, smoking status, and peripheral white blood cell counts at baseline and on the day the second course of ICI administration. Results In the multivariable analysis, PS, driver gene, immune-related adverse events, and post-treatment absolute neutrophil counts (post-ANCs) were significantly associated with progression-free survival. Conclusion A high level of post-ANCs was associated with poor outcome in ICI-treated NSCLC patients.

Introduction As most patients with epidermal growth factor receptor (EGFR)-mutant non-small cell lung cancer (NSCLC) develop progressive disease after treatment with osimertinib, it is important to develop more effective treatment options. Afatinib has been shown to be more effective in in vitro studies than osimertinib when used in cancer cell lines containing some specific EGFR mutations. Therefore, afatinib may be an effective solution, especially when used in combination with an anti-VEGF agent such as bevacizumab. Methods A phase II multicenter, open-label, single-arm trial has been initiated to evaluate the efficacy and safety of afatinib and bevacizumab combination as salvage therapy for EGFR-mutated lung cancer in patients previously treated with osimertinib. The primary endpoint will be the objective response rate (ORR) and secondary endpoints are progression-free survival (PFS), overall survival (OS), disease control rate (DCR), and adverse events (AEs). Discussion A previous study indicated that afatinib inhibits lung cancer cells with specific EGFR mutations more effectively than other EGFR-TKIs such as osimertinib. Therefore, we expect that combination therapy using afatinib and bevacizumab will be effective in patients previously treated with osimertinib (registration no. jRCTs031190077).

Background Currently, anticancer immunotherapy based on PD-1/PD-L1 blockade with immune checkpoint inhibitors (ICIs) is being used as a standard therapy for non-small cell lung cancer (NSCLC). However, more effective treatments are required as these tumors are often resistant and refractory. Here, we aimed to determine the effects of immunomodulatory oligodeoxynucleotides (ODNs) in terms of the presence or absence of CpG motifs and the number of consecutive guanosines. Methods Western blots were used to measure the molecules which regulate the expression of PD-L1 in human lung cancer cell lines after incubation with several cytokines and ODNs. The expression of PD-L1 and β2-microglobulin (β2-MG) on A549 cells, and IFN-γ-induced apoptosis with ODNs were examined by flow cytometry. The relationship between IFN-γ receptor and ODN was analyzed by ELISA and immunofluorescence chemistry. Results Our results verified that A-CpG ODNs suppress the upregulation of IFN-γ-induced PD-L1 and β2-MG expression. In addition, we found that ODNs with six or more consecutive guanosines (ODNs with poly-G sequences) may competitively inhibit the IFN-γ receptor and abolish the effect of IFN-γ, thereby suppressing apoptosis and indoleamine 2,3-dioxygenase 1 expression in human lung cancer cells. The tumor microenvironment regulates whether this action will promote or suppress tumor immunity. Thus, in immunotherapy with CpG ODNs, it is essential to consider the effect of ODNs with poly-G sequences. Conclusions This study suggests that ODNs containing six or more consecutive guanosines may inhibit the binding of IFN-γ to IFN-γ receptor. However, it does not directly show that ODNs containing six or more consecutive guanosines competitively inhibit the IFN-γ receptor, and further studies are warranted to confirm this finding. Key points Significant findings of the study: Oligodeoxynucleotides with a contiguous sequence of six or more guanosines may competitively inhibit the IFN-γ receptor and abolish the action of IFN-γ. This may suppress IFN-γ-induced apoptosis and indoleamine-2,3-dioxygenase-1 expression in human lung cancer cells. What this study adds A-CpG and poly-G ODN may overcome tolerance if the cause of ICI tolerance is high IDO expression. However, IFN-γ also has the effect of suppressing apoptosis of cancer cells, and it is necessary to identify the cause of resistance.

The COVID-19 pandemic is an unprecedented threat to humanity that has provoked global health concerns. Since the etiopathogenesis of this illness is not fully characterized, the prognostic factors enabling treatment decisions have not been well documented. Accurately predicting the progression of the disease would aid in appropriate patient categorization and thus help determine the best treatment option. Here, we have introduced a proteomic approach utilizing data-independent acquisition mass spectrometry (DIA-MS) to identify the serum proteins that are closely associated with COVID-19 prognosis. Twenty-seven proteins were differentially expressed between severely ill COVID-19 patients with an adverse or favorable prognosis. Ingenuity Pathway Analysis revealed that 15 of the 27 proteins might be regulated by cytokine signaling relevant to interleukin (IL)-1β, IL-6, and tumor necrosis factor (TNF), and their differential expression was implicated in the systemic inflammatory response and in cardiovascular disorders. We further evaluated practical predictors of the clinical prognosis of severe COVID-19 patients. Subsequent ELISA assays revealed that CHI3L1 and IGFALS may serve as highly sensitive prognostic markers. Our findings can help formulate a diagnostic approach for accurately identifying COVID-19 patients with severe disease and for providing appropriate treatment based on their predicted prognosis.

SARS-CoV-2 infection elicits varying degrees of protective immunity conferred by neutralizing antibodies (nAbs). Here we report the persistence of nAb responses over 12 months after infection despite its decreasing trend noticed from 6 months. The study included sera from 358 individuals who had been infected with SARS-CoV-2 between January and May 2020. Samples were collected at 6 and 12 months after onset. The titers of IgG to the viral nucleocapsid protein (NP) and receptor-binding domain of the spike protein (RBD) were measured by CLEIA. The nAb titer was determined using lentivirus-based pseudovirus or authentic virus. Antibody titers of NP-IgG, RBD-IgG, and nAbs were higher in severe and moderate cases than in mild cases at 12 months after onset. While the nAb levels were likely to confer adequate protection against wild-type viral infection, the neutralization activity to recently circulating variants in some of the mild cases (∼30%) was undermined, implying the susceptibility of reinfection to the variants of concerns (VOCs). COVID-19 convalescent individuals have robust humoral immunity even at 12 months after infection albeit that the medical history and background of patients could affect the function and dynamics of antibody response to the VOCs.

Objective: There is scarce evidence regarding the long-term persistence of neutralizing antibodies among coronavirus disease 2019 (COVID-19) survivors. This study determined neutralizing antibody titers (NT50) and antibodies against spike protein (SP) or nucleocapsid protein (NP) antigens approximately 6 months after the diagnosis of COVID-19.Methods: COVID-19 survivors in Japan were recruited. Serum samples and data related to patients’ characteristics and COVID-19 history were collected. NT50 and titers of antibodies against NP and SP antigens were measured at 20–32 weeks after the first positive severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) test results. Factors associated with NT50 were identified using the multivariable linear regression and the correlations among NT50 and titers of immunoglobulin G (IgG) and total immunoglobulins (Igs) against NP and SP were assessed by Spearman’s correlation.Results: Among 376 participants (median [range] days after testing positive for SARS-CoV-2, 180 (147–224); median [range] years of age, 50 (20–78); 188 [50%] male), most tested positive for NT50 (n = 367, 98%), SP-IgG (n = 344, 91%), SP-total Ig (n = 369, 98%), NP-IgG (n = 314, 84%), and NP-total Ig (n = 365, 97%). Regression analysis indicated that higher BMI, fever, and the requirement of mechanical ventilation or extracorporeal membrane oxygenation were significantly associated with higher NT50. Anti-SP antibodies correlated moderately with NT50 (Spearman’s correlation: 0.63 for SP IgG; 0.57 for SP-total Ig), while the correlation was weak for anti-NP antibodies (0.37 for NP IgG; 0.32 for NP-total Ig).Conclusions: Most COVID-19 survivors had sustained neutralizing antibodies and tested positive for SP-total Ig and NP-total Ig approximately 6 months after infection.

ObjectiveSerological tests for COVID-19 have been instrumental in studying the epidemiology of the disease. However, the performance of the currently available tests is plagued by the problem of variability. We have developed a high-throughput serological test capable of simultaneously detecting total immunoglobulins (Ig) and immunoglobulin G (IgG) against two of the most immunologically relevant SARS-CoV-2 antigens, nucleocapsid protein (NP) and spike protein (SP) and report its performance in detecting COVID-19 in clinical samples.MethodsWe designed and prepared reagents for measuring NP-IgG, NP-Total Ig, SP-IgG, and SP-Total Ig (using N-terminally truncated NP (ΔN-NP) or receptor-binding domain (RBD) antigen) on the advanced chemiluminescence enzyme immunoassay system TOSOH AIA-CL. After determining the basal thresholds based on 17 sera obtained from confirmed COVID-19 patients and 600 negative sera. Subsequently, the clinical validity of the assay was evaluated using independent 202 positive samples and 1,000 negative samples from healthy donors.ResultsAll of the four test parameters showed 100% specificity individually (1,000/1,000; 95%CI, 99.63-100). The sensitivity of the assay increased proportionally to the elapsed time from symptoms onset, and all the tests achieved 100% sensitivity (153/153; 95%CI, 97.63-100) after 13 days from symptoms onset. NP-Total Ig was the earliest to attain maximal sensitivity among the other antibodies tested.ConclusionOur newly developed serological testing exhibited 100% sensitivity and specificity after 13 days from symptoms onset. Hence, it could be used as a reliable method for accurate detection of COVID-19 patients and to evaluate seroprevalence and possibly for surrogate assessment of herd immunity.

Backgrouds: Durvalumab has become a standard treatment for patients with unresectable stage III NSCLC after concurrent chemoradiotherapy (CRT). Although frequencies of grade 3 or 4 pneumonitis or radiation pneumonitis between groups in PACIFIC trial were not significant, there is still a concern for severe pneumonitis at clinical practice. Purpose: To identify predictive factors for severe pneumonitis or radiation pneumonitis causing discontinuation of durvalumab. Methods: From July 2018 to February 2020, stage III NSCLC patients treated with durvalumab after CRT at Yokohama City University Medical Center were enrolled in retrospective observational study. Factors mentioned below were analyzed to identify predictors of durvalumab discontinuation. Age, sex, performance status, planning target volume(PTV), mean lung dose, volumes of normal lung receiving > 20Gy(V20) and > 5Gy(V5), histological type, initiation time after the completion of CRT, atelectasis at the CRT initiation, smoking status, low attenuation volume ratio (LAV) for entire lungs. Results: Total 11 patients were enrolled. Two of eleven patients were discontinued durvalumab due to severe pneumonitis or radiation pneumonitis. All discontinued subjects had a lobular atelectasis. Discontinued group also showed higher PTV (Durvalmub continued vs discontinued; 433.2 vs 1036, SD=602.4±208.1, p = 0.0178), V20 over (1-LAV) (0.299 vs 0.458, 0.159±0.07, p = 0.085) and V5 over (1-LAV) (433.2 vs 1036, 0.265± 0.08, p = 0.0223). Conclusion: Lobular atelectasis, higher PTV and V20 and V5 over (1-LAV) could be predictive factors for durvalumab discontinuation after CRT for NSCLC.

The COVID-19 is an unprecedented threat to humanity provoking global health concerns. Since the etio-pathogenesis of this illness is not fully characterized, the prognostic factors enabling treatment decisions have not been well documented. An accurate prediction of the disease progression can aid in appropriate patient categorization to determine the best treatment option. Here, we introduced an innovative approach utilizing data-independent acquisition (DIA) mass spectrometry to identify the serum proteins closely associated with the COVID-19 severity. We observed 23 proteins to be differentially expressed between the cohorts of critically ill COVID-19 patients with adverse and favorable prognosis. Myoglobin (MB), CHI3L1 and IGFALS were found to have a high sensitivity and specificity for their possible use as independent biomarkers to provide information on the disease prognosis. Our findings can help in formulating a diagnostic approach for accurately discriminating severe COVID-19 patients and provide appropriate treatment based on their predicted prognosis. Funding: This work was in part supported by grants from the Japan Agency for Medical Research and Development (JP19fk0108169 to YK and JP19fk0108110/JP20he0522001 to AR). Conflict of Interest: The authors declare no competing interests. Ethical Approval: This research plan and protocol was approved by the Clinical Ethics Committee of Yokohama City University Hospital (B2002000048). This study was also performed with the approval of the Clinical Ethics Committee in each of the medical facilities. Informed consent was obtained from all patients and/or their guardians before serum samples collection.

Background Veno‐venous extracorporeal membrane oxygenation (VV‐ECMO) is one of the ultimate treatments for acute respiratory failure. However, the effectiveness of ECMO in patients with novel coronavirus disease (COVID‐19) is unknown. Case Presentation A 72‐year‐old woman who was a passenger of a cruise ship tested positive for the severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2) while in quarantine on board using throat swab. Three days after admission, her condition deteriorated, and she was subsequently intubated. On day 6, VV‐ECMO was introduced. Lopinavir/ritonavir was given; continuous renal replacement therapy was also introduced. On day 10, her chest radiography and lung compliance improved. She was weaned off ECMO on day 12. Conclusion Treatment of severe pneumonia in COVID‐19 by ECMO should recognize lung plasticity considering time to ECMO introduction and interstitial biomarkers. In Japan, centralization of ECMO patients has not been sufficient. Thus, we suggest nationwide centralization and further research to respond to the crisis caused by COVID‐19., ECMO is one of the treatment options in severe ARDS by SARS‐CoV‐2. It is important to recognize lung plasticity. Centralization of COVID‐19 ECMO patients may be effective in Japan.

An 82-year-old man with chronic tuberculous empyema visited our hospital for an annual computed tomography (CT) scan. No differences were noted between the CT scan at presentation and a scan performed a year previously in August 2017. He began experiencing right chest, epigastrium, and back pain since the end of October 2017. A CT scan taken in November of 2017 to evaluate the pain in his right chest, epigastrium, and back showed an irregular thickening of the pleura adjacent to the empyema and an abnormal right seventh costal mass infiltrating the vertebral body. CT-guided needle biopsy of the mass showed angiosarcoma. Positron emission tomography/CT revealed multiple metastases in his bones and liver. Chemotherapy was not recommended owing to his poor performance status, which was related to angiosarcoma. Therefore, he was offered palliative radiotherapy for the metastasis to the vertebral body.

Cokes with tensile strengths of 6–37 MPa were prepared by binderless briquetting and subsequent carbonization up to 900 °C of pulverized Victorian brown coal that had little fluidity and very low reflectance. Application of mechanical pressures of 64–128 MPa at temperatures of 130–200 °C caused softening of the coal because of mobilization of both low- and high-molecular-mass components, deformation of the coal matrix, and then coalescence/bonding of particles. The resulting coke had a density as high as 1.1–1.3 g/cm3 and tensile strength of 28–37 MPa, which was 5–6 times that of conventional metallurgical coke.