ILD-GAP combined with the monocyte ratio could be a better prognostic prediction model than ILD-GAP in patients with interstitial lung diseases.

BACKGROUND: The ILD-GAP scoring system is known to be useful in predicting prognosis in patients with interstitial lung disease (ILD). An elevated monocyte count was associated with increased risks of IPF poor prognosis. We examined whether the ILD-GAP scoring system combined with the monocyte ratio (ILD-GAPM) is superior to the conventional ILD-GAP model in predicting ILD prognosis. METHODS: In patients with ILD treated between April 2013 and April 2017, we were retrospectively assessed the relationships between baseline clinical parameters, including age, sex, Charlson Comorbidity Index score (CCIS), ILD diagnosis, blood biomarkers, pulmonary function test results, and disease outcomes. In ILD patients were included idiopathic pulmonary fibrosis (IPF), idiopathic nonspecific interstitial pneumonia (iNSIP), collagen vascular disease-related interstitial pneumonia (CVD-IP), chronic hypersensitivity pneumonitis (CHP), and unclassifiable ILD (UC-ILD). We also assessed the ability to predict prognosis was compared between the ILD-GAP and ILD-GAPM models. RESULTS: A total of 179 patients (mean age, 73 years) were assessed. All of them were taken pulmonary function test, including percentage predicted diffusion capacity for carbon monoxide. ILD patients included 56 IPF cases, 112 iNSIP and CVD-IP cases, 6 CHP cases and 5 UC-ILD cases. ILD-GAPM provided a greater area under the receiver-operating characteristic curve (0.747) than ILD-GAP (0.710) for predicting 3-year ILD-related events. Furthermore, the log-rank test showed that the Kaplan-Meier curves in ILD-GAPM were significantly different by stage (P = 0.015), but not by stage in ILD-GAP (P = 0.074). CONCLUSIONS: The ILD-GAPM model may be a more accurate predictor of prognosis for ILD patients than the ILD-GAP model.

Case report of two long term ovarian cancer survivors with brain metastases following multimodal treatment including chemotherapy, radiotherapy and maintenance olaparib: An institutional case series and literature review.

Brain metastasis from ovarian cancer is a very rare condition with a poor prognosis. However, due to its rarity, there is no established treatment strategy. We present a case series of brain metastasis with ovarian cancer, focusing on two long-term survivors treated with multimodal therapy. Among the nine cases, the median survival time after brain metastases was six months (range: 0-58 months). Eight patients had high-grade serous carcinoma (HGSC). Three of the four patients who underwent genetic testing tested positive for germline BRCA2 (gBRCA2) mutation. Two patients survived longer than 4 years after the diagnosis of brain metastases. Both of these patients received chemotherapy, radiation therapy, and olaparib, a molecularly targeted drug, as maintenance therapy. This case series suggests that patients with gBRCA2 mutation-positive HGSC may be at a high risk of developing brain metastases. A multidisciplinary approach, including PARP inhibitors, may improve the prognosis of patients with brain metastases from ovarian cancer.

Geographic and economic influences on benralizumab prescribing for severe asthma in Japan.

Benralizumab, a monoclonal antibody targeting IL-5 receptors, reduces exacerbations and oral corticosteroid requirements for severe, uncontrolled eosinophilic asthma. In Japan, geographic disparities in asthma outcomes suggest differential prescribing and access. This study aimed to quantify regional prescribing variations for benralizumab nationwide. Using Japan's National Database (NDB) of insurance claims (2009-2019), benralizumab standardized claim ratios (SCRs) were calculated for 47 prefectures. Correlations between SCRs and other biologics' SCRs, economic variables like average income, and physician densities were evaluated through univariate analysis and multivariate regressions. Income-related barriers to optimal prescribing were examined. Wide variation emerged in benralizumab SCRs, from 40.1 to 184.2 across prefectures. SCRs strongly correlated with omalizumab (r = 0.61, p < 0.00001) and mepolizumab (r = 0.43, p = 0.0024). Average monthly income also positively correlated with benralizumab SCRs (r = 0.45, p = 0.0016), whereas lifestyle factors were insignificant. Respiratory specialist density modestly correlated with SCRs (r = 0.29, p = 0.047). In multivariate regressions, average income remained the most robust predictor (B = 0.74, p = 0.022). Benralizumab SCRs strongly associate with income metrics more than healthcare infrastructure/population factors. Many regions show low SCRs, constituting apparent prescribing gaps. Access barriers for advanced asthma therapies remain inequitable among Japan's income strata. Addressing affordability alongside specialist allocation can achieve better prescribing quality and asthma outcomes.

High red blood cell distribution width attenuates the effectiveness of Immune checkpoint inhibitor therapy: An exploratory study using a clinical data warehouse.

BACKGROUND: Immune checkpoint inhibitors (ICIs) have improved outcomes in cancer treatment but are also associated with adverse events and financial burdens. Identifying accurate biomarkers is crucial for determining which patients are likely to benefit from ICIs. Current markers, such as PD-L1 expression and tumor mutation burden, exhibit limited predictive accuracy. This study utilizes a Clinical Data Warehouse (CDW) to explore the prognostic significance of novel blood-based factors, such as the neutrophil-to-lymphocyte ratio and red cell distribution width (RDW), to enhance the prediction of ICI therapy benefit. METHODS: This retrospective study utilized an exploratory cohort from the CDW that included a variety of cancers to explore factors associated with pembrolizumab treatment duration, validated in a non-small cell lung cancer (NSCLC) patient cohort from electronic medical records (EMR) and CDW. The CDW contained anonymized data on demographics, diagnoses, medications, and tests for cancer patients treated with ICIs between 2017-2022. Logistic regression identified factors predicting ≤2 or ≥5 pembrolizumab doses as proxies for progression-free survival (PFS), and Receiver Operating Characteristic analysis was used to examine their predictive ability. These factors were validated by correlating doses with PFS in the EMR cohort and re-testing their significance in the CDW cohort with other ICIs. This dual approach utilized the CDW for discovery and EMR/CDW cohorts for validating prognostic biomarkers before ICI treatment. RESULTS: A total of 609 cases (428 in the exploratory cohort and 181 in the validation cohort) from CDW and 44 cases from EMR were selected for study. CDW analysis revealed that elevated red cell distribution width (RDW) correlated with receiving ≤2 pembrolizumab doses (p = 0.0008), with an AUC of 0.60 for predicting treatment duration. RDW's correlation with PFS (r = 0.80, p<0.0001) and its weak association with RDW (r = -0.30, p = 0.049) were confirmed in the EMR cohort. RDW also remained significant in predicting short treatment duration across various ICIs (p = 0.0081). This dual methodology verified pretreatment RDW elevation as a prognostic biomarker for shortened ICI therapy. CONCLUSION: This study suggests the utility of CDWs in identifying prognostic biomarkers for ICI therapy in cancer treatment. Elevated RDW before treatment initiation emerged as a potential biomarker of shorter therapy duration.

HLA-DQA1*01:03 and DQB1*06:01 are risk factors for severe COVID-19 pneumonia.

The clinical spectrum of COVID-19 includes a wide range of manifestations, from mild symptoms to severe pneumonia. HLA system plays a pivotal role in immune responses to infectious diseases. The purpose of our study was to investigate the association between HLA and COVID-19 severity in a Japanese population. The study included 209 Japanese COVID-19 patients aged ≥20 years. Saliva samples were collected and used to determine the HLA genotype by HLA imputation through genome-wide association analyses. The association between HLA genotype and COVID-19 severity was then evaluated. The allele frequency was compared between patients with respiratory failure (severe group: 91 cases) and those without respiratory failure (non-severe group: 118 cases), categorising the data into three time periods: pre-Omicron epidemic period, Omicron epidemic period, and total period of this study (from January 2021 to May 2023). In comparing the severe and non-severe groups, the frequencies of the HLA-DQA1*01:03 (35.1% vs. 10.5%, odds ratio [OR] = 4.57, corrected p [pc] = 0.041) and -DQB1*06:01 (32.4% vs. 7.9%, OR = 5.54, pc = 0.030) alleles were significantly higher in the severe group during the pre-Omicron epidemic period. During the Omicron epidemic period, HLA-DQB1*06 (32.4% vs. 7.9%, OR = 5.54, pc = 0.030) was significantly higher in the severe group. During total period of this study, HLA-DQA1*01:03 (30.2% vs. 14.4%, OR = 2.57, corrected pc = 0.0013) and -DQB1*06:01 (44.5% vs. 26.7%, OR = 2.20, pc = 0.013) alleles were significantly higher in the severe group. HLA-DQB1*06:01 and -DQA1*01:03 were in strong linkage disequilibrium with each other (r2 = 0.91) during total period of this study, indicating that these two alleles form a haplotype. The frequency of the HLA-DQA1*01:03-DQB1*06:01 in the severe group was significantly higher than in the non-severe group during pre-Omicron epidemic period (32.4% vs. 7.9%, OR = 5.59, pc = 0.00072), and total period of this study (28.6% vs. 13.1%, OR = 2.63, pc = 0.0013). During Omicron epidemic period, the haplotype did not demonstrate statistical significance, although the odds ratio indicated a value greater 1. Frequencies of the HLA-DQA1*01:03 and -DQB1*06:01 alleles were significantly higher in severe COVID-19 patients, suggesting that these alleles are risk factors for severe COVID-19 pneumonia in the Japanese population.

Improved diagnostic accuracy with three lung tumor markers compared to six-marker panel.

Background: Combining multiple tumor markers increases sensitivity for lung cancer diagnosis in the cost of false positive. However, some would like to check as many as tumor markers in the fear of missing cancer. We though to propose a panel of fewer tumor markers for lung cancer diagnosis. Methods: Patients with suspected lung cancer who simultaneously underwent all six tests [carcinoembryonic antigen (CEA), cytokeratin-19 fragment (CYFRA), squamous cell carcinoma-associated antigen (SCC), neuron-specific enolase (NSE), pro-gastrin-releasing peptide (ProGRP), and sialyl Lewis-X antigen (SLX)] were included. Tumor markers with significant impact on the lung cancer in a logistic regression model were included in our panel. Area under the curve (AUC) was compared between our panel and the panel of all six. Results: We included 1,733 [median 72 years, 1,128 men, 605 women, 779 (45%) confirmed lung cancer]. Logistic regression analysis suggested CEA, CYFRA, and NSE were independently associated with the lung cancer diagnosis. The panel of these three tumor markers [AUC =0.656, 95% confidence interval (CI): 0.630-0.682, sensitivity 0.650, specificity 0.662] had better (P<0.001) diagnostic performance than six tumor markers (AUC =0.575, 95% CI: 0.548-0.602, sensitivity 0.829, specificity 0.321). Conclusions: Compared to applying all six markers (at least one marker above the upper limit of normal), the panel with three markers (at least one marker above the upper limit of normal) led to a better predictive value by lowering the risk of false positives.

Efficacy and safety of benralizumab in elderly patients with severe eosinophilic asthma.

Background: Biologics are the important drugs for severe asthma, but clinical trials included few elderly patients. Data on the safety and efficacy of benralizumab in elderly asthma patients are limited. Methods: This clinical study was a multicentre, retrospective, observational study at two hospitals. Patients aged ≥18 years diagnosed with severe asthma treated with benralizumab were included. Elderly patients were defined as those aged 70 years or older. Efficacy and safety were then analyzed in elderly and non-elderly patients. The primary endpoints were the annual number of asthma exacerbations for efficacy and the discontinuation rate due to adverse events for safety. Results: Between August 2016 and October 2022, 61 patients were enrolled; 10 patients were excluded, and 51 (22 elderly, 29 non-elderly) patients were analyzed. In elderly patients, the annual number of asthma exacerbations before treatment with benralizumab (pre-benralizumab) was 3.78, and the number during treatment with benralizumab was 1.26, a decrease of 2.52 (95% confidence interval [CI], 1.3 to 3.74, p < 0.001). In non-elderly patients, the annual number of asthma exacerbation in the pre-benralizumab period was 3.24, and during treatment with benralizumab it was 0.68, a decrease of 2.56 (95% CI, 1.3 to 3.82, p < 0.001). There was no significant difference in discontinuation due to treatment-related adverse events (elderly vs non-elderly, 2 (9%) vs 0 (0%), p = 0.18). Conclusion: Benralizumab reduced the annual number of asthma exacerbations and was well tolerated in elderly patients.

Serum heme oxygenase-1 as a prognostic biomarker in patients with acute exacerbation of interstitial lung disease.

Serum heme oxygenase (HO)-1 level has been reported as a clinically reliable diagnostic biomarker for acute exacerbation of interstitial lung disease (ILD); however, its utility for predicting mortality among these patients is unclear. Serum HO-1 levels of patients newly diagnosed with acute exacerbation of ILD were measured at the time of initiating steroid pulse therapy. The relationship between serum HO-1 and various other serum biomarkers, change in HRCT findings, and disease prognosis at 12 weeks after diagnosis of acute exacerbation was evaluated in 51 patients, of whom 17 (33%) had idiopathic pulmonary fibrosis (IPF). Serum HO-1 was higher in patients with acute exacerbation of IPF than in patients with acute exacerbation of other ILDs. Serum HO-1 levels were higher in patients who died within these 12 weeks than in survivors. Among age, sex, comorbidities, IPF diagnosis, HRCT findings, and blood biomarkers, serum HO-1 was a primary predictor of 12-week mortality. In 41 patients who underwent repeat HRCT, serum HO-1 was higher in patients with honeycomb progression than in those without. Serum HO-1 measurement could be useful for evaluating disease mortality and morbidity of patients with acute exacerbation of ILDs.

T-cell response to phytohemagglutinin in the interferon-γ release assay as a potential biomarker for the response to immune checkpoint inhibitors in patients with non-small cell lung cancer.

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.

Identification of Biomarkers for Non-small-cell Lung Cancer Patients Treated With an Immune Checkpoint Inhibitor.

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.