Enhanced tumor control activities of anti-mPD-L1 antibody and antigen-presenting cell-like natural killer cell in an allograft model.

BACKGROUND: Despite the utilization of immune checkpoint inhibitors (ICIs) in treating numerous types of cancers being approved, their efficacy in tumor control in the clinic is not satisfactory. Since adoptive cell therapy (ACT) can alter the tumor microenvironment, we hypothesized that ACT potentially synergized with ICI in tumor control and examined this hypothesis via a murine allograft model. METHODS: Female C57BL/6 mice were stimulated with interleukin 15 and granulocyte monocyte-colony stimulating factor, followed by collecting their bone marrow cells for murine NKDC cultivation. Then, female C57BL/6 mice, inoculated with lymphoma cancer cell line E.G7-OVA, were administrated with murine NKDC cells, murine anti-program cell death ligand-1 antibody (α-mPD-L1), or both for 28 days. After 28 days of treatment, mice were sacrificed whose inoculated tumors, spleen, sentinel lymph nodes, and peripheral blood were collected to measure tumor size, lymphocyte infiltration, and change of immune cell profile. RESULTS: Combined treatment of NKDCs with α-mPD-L1 exhibited significantly stronger tumor control efficacy than treatment of NKDCs or α-mPD-L1 alone. NKDCs/α-mPD-L1 combination increased migration of dendritic cells, CD4, CD8 T cells, and activated CD8 T cells to the tumor-bedding site, and promoted endogenous tumor-specific cytotoxic T-cell response. CONCLUSION: The current study confirmed our hypothesis that combining NKDC ACT with ICI therapy can potentiate tumor control efficacy by manipulating the tumor microenvironment. This study provided a novel circumstance on tumor immunotherapy.

Immunoprofile of adenosquamous carcinoma in gastric cancer.

BACKGROUND: Gastric adenosquamous carcinoma (GASC) is a rare subtype of gastric cancer. Research on GASC treatment is limited, and its outcome is usually poor. We investigated the clinical features, immunoprofile of GASC, and determined the optimal treatment modality for these patients. METHODS: Patients with GASC from Taipei Veterans General Hospital were retrospectively reviewed. Clinical features and treatment outcomes were evaluated. Adequate samples were examined for surrogate biomarkers for immunotherapy by IHC staining. RESULTS: Total 14 (0.35%) GASC patients were found among 4034 gastric cancer patients. The median tumor size was 6.8 cm in 10 patients with stage III GASC, and all these patients underwent radical gastrectomy followed by adjuvant therapy. The median progression-free survival (PFS) and overall survival (OS) were 6.0 and 11.5 months, respectively. Two patients with stage IV GASC received frontline immunotherapy. Their median PFS and OS were 9.0 and 12.5 months. In immunoprofiling, 25.0% (n = 3), 75.0% (n = 9), and 33.3% (n = 4) of the samples had deficient mismatch repair (dMMR) protein, combined positive score (CPS) of ≥1, and CPS of ≥10, respectively. The univariate analysis revealed that programmed death-ligand 1 ≥5% (HR: 0.12; 95% CI: 0.01-0.97; p = 0.047) was significant associated with superior OS. One stage IV patient with CPS ≥10 and dMMR proteins received nivolumab monotherapy as frontline treatment that resulted 14-month PFS. CONCLUSION: Patients with GASC are more likely to yield positive results for CPS and dMMR. Biomarkers should be examined, and immunotherapy can be considered as frontline systemic treatment.

Elevated PD-L1 Expression and Microsatellite Instability in Elderly Patients With Gastric Cancer.

Immunotherapy in combination with chemotherapy is the current treatment of choice for frontline programmed cell death ligand 1 (PD-L1)-positive gastric cancer. However, the best treatment strategy remains an unmet medical need for elderly or fragile patients with gastric cancer. Previous studies have revealed that PD-L1 expression, Epstein-Barr virus association, and microsatellite instability-high (MSI-H) are the potential predictive biomarkers for immunotherapy use in gastric cancer. In this study, we showed that PD-L1 expression, tumor mutation burden, and the proportion of MSI-H were significantly elevated in elderly patients with gastric cancer who were older than 70 years compared with patients younger than 70 years from analysis of The Cancer Genome Atlas gastric adenocarcinoma cohort [≥70/<70: MSI-H: 26.8%/15.0%, P =0.003; tumor mutation burden: 6.7/5.1 Mut/Mb, P =0.0004; PD-L1 mRNA: 5.6/3.9 counts per million mapped reads, P =0.005]. In our real-world study, 416 gastric cancer patients were analyzed and showed similar results (≥70/<70: MSI-H: 12.5%/6.6%, P =0.041; combined positive score ≥1: 38.1%/21.5%, P <0.001). We also evaluated 16 elderly patients with gastric cancer treated with immunotherapy and revealed an objective response of 43.8%, a median overall survival of 14.8 months, and a median progression-free survival of 7.0 months. Our research showed that a durable clinical response could be expected when treating elderly patients with gastric cancer with immunotherapy, and this approach is worth further study.

Comparison of the mutation patterns between tumor tissue and cell-free DNA in stage IV gastric cancer.

Compared to stage I-III gastric cancer (GC), the level of cell-free DNA (cfDNA) was significantly higher in stage IV GC. The mutation patterns of different metastatic patterns between cfDNA and tumor DNA in stage IV GC have not yet been reported. We used next-generation sequencing (NGS) to analyze cfDNA and tumor DNA in 56 stage IV GC patients. Tumor DNA and cfDNA were analyzed using a 29-gene NGS panel. In tumor samples, the most commonly mutated gene was TP53 (64%), followed by ARID1A (62%), KMT2C (60%) and KMT2D (58%). In cfDNA samples, the most commonly mutated genes were FAT4 (19%) and MACF1 (19%), followed by KMT2D (18%), ARID1A (14%) and LRP1B (14%). The concordance of mutation patterns in these 29 genes was 42.0% between cfDNA and tumor DNA. A specificity of 100% was found when using the mutation status of cfDNA to predict mutations in tumor samples. The sensitivity of the mutation status of cfDNA to predict mutation in tumor samples was highest in FAT4 (88.9%), followed by MACF1 (80%), CDH1 (75%) and PLB1 (75%). For cfDNA with PLB1 mutations, patients were more likely to develop distant lymphatic metastasis than peritoneal metastasis. Patients with multiple-site metastases had significantly more mutated spots than patients with single-site metastasis. Due to the high sensitivity and specificity of some genes in the prediction of mutation in tumor samples, monitoring the mutation pattern of cfDNA may be useful in the stage IV GC treatment.

A generational comparison for unfavorable cancer of unknown primary in a single institute over 20 years.

BACKGROUND: The prognosis of unfavorable cancer of unknown primary is extremely poor. This is the first report to compared the treatment results between generations of CUP and examined prognostic factors. METHODS: This retrospective single-center cohort study enrolled 68 patients with newly diagnosed unfavorable cancer of unknown primary at Taipei Veteran General Hospital from 2017 to 2020 as study cohort and 167 patients from 2000 to 2009 as historical cohort. RESULTS: The median overall survival was 4.3 months in the study cohort (95% CI, 2.7-6.2 months) and 4.5 months in the historical cohort (95% CI, 3.0-5.5 months; p = 0.858). Eleven patients in the study cohort received immunotherapy. The disease control rates were 45%. Multivariate analysis showed that an Eastern Cooperative Oncology Group score > 1 and a C-reactive protein level > 1 correlated with poor survival. A new prognostic stratification model was constructed by using Eastern Cooperative Oncology Group score and C-reactive protein values. The good-, intermediate-, and poor-risk groups had distinct median overall survival of 18.3, 7.0 and 1.2 months, respectively (area under the curve, 0.817; p < 0.001). CONCLUSION: The outcome of unfavorable cancer of unknown primary has not changed much over the last 20 years. The application of a new prognostic stratification model can further stratify unfavorable cancer of unknown primary.

A G-quadruplex stabilizer, CX-5461 combined with two immune checkpoint inhibitors enhances in vivo therapeutic efficacy by increasing PD-L1 expression in colorectal cancer.

PURPOSE: Immune checkpoint inhibitors (ICIs) alone or in combination with chemotherapy can improve the limited efficacy of colorectal cancer (CRC) immunotherapy. CX-5461 causes substantial DNA damage and genomic instability and can increase ICIs' therapeutic efficacies through tumor microenvironment alteration. RESULTS: We analyzed whether CX-5461 enhances ICIs' effects in CRC and discovered that CX-5461 causes severe DNA damage, including cytosolic dsDNA appearance, in various human and mouse CRC cells. Our bioinformatics analysis predicted CX-5461-based interferon (IFN) signaling pathway activation in these cells, which was verified by the finding that CX-5461 induces IFN-α and IFN-ß secretion in these cells. Next, cGAMP, phospho-IRF3, CCL5, and CXCL10 levels exhibited significant posttreatment increases in CRC cells, indicating that CX-5461 activates the cGAS-STING-IFN pathway. CX-5461 also enhanced PD-L1 expression through STAT1 activation. CX-5461 alone inhibited tumor growth and prolonged survival in mice. CX-5461+anti-PD-1 or anti-PD-L1 alone exhibited synergistic growth-suppressive effects against CRC and breast cancer. CX-5461 alone or CX-5461+anti-PD-1 increased cytotoxic T-cell numbers and reduced myeloid-derived suppressor cell numbers in mouse spleens. CONCLUSIONS: Therefore, clinically, CX-5461 combined with ICIs for CRC therapy warrants consideration because CX-5461 can turn cold tumors into hot ones.

Artificial intelligence-based immunoprofiling serves as a potentially predictive biomarker of nivolumab treatment for advanced hepatocellular carcinoma.

Immune checkpoint inhibitors (ICI) have been applied in treating advanced hepatocellular carcinoma (aHCC) patients, but few patients exhibit stable and lasting responses. Moreover, identifying aHCC patients suitable for ICI treatment is still challenged. This study aimed to evaluate whether dissecting peripheral immune cell subsets by Mann-Whitney U test and artificial intelligence (AI) algorithms could serve as predictive biomarkers of nivolumab treatment for aHCC. Disease control group carried significantly increased percentages of PD-L1+ monocytes, PD-L1+ CD8 T cells, PD-L1+ CD8 NKT cells, and decreased percentages of PD-L1+ CD8 NKT cells via Mann-Whitney U test. By recursive feature elimination method, five featured subsets (CD4 NKTreg, PD-1+ CD8 T cells, PD-1+ CD8 NKT cells, PD-L1+ CD8 T cells and PD-L1+ monocytes) were selected for AI training. The featured subsets were highly overlapping with ones identified via Mann-Whitney U test. Trained AI algorithms committed valuable AUC from 0.8417 to 0.875 to significantly separate disease control group from disease progression group, and SHAP value ranking also revealed PD-L1+ monocytes and PD-L1+ CD8 T cells exclusively and significantly contributed to this discrimination. In summary, the current study demonstrated that integrally analyzing immune cell profiling with AI algorithms could serve as predictive biomarkers of ICI treatment.

Application and Impact of Antiviral Therapy for Patients with HBV-Related Hepatocellular Carcinoma Receiving Sorafenib and Lenvatinib Treatment.

Overall survival (OS) in patients with advanced hepatocellular carcinoma (HCC) has improved in the era of multi-line sequential therapy. The application of antiviral therapy and its impact on survival for patients with HBV-related HCC needs to be reassessed. The aim of this study was to evaluate the application and impact of antiviral therapy on survival for patients with HBV-related HCC receiving tyrosine kinase inhibitor (TKI) therapy. Patients with advanced HBV-related HCC treated with sorafenib or lenvatinib as first-line therapy with (n = 377) and without (n = 182) nucleos(t)ide analogue (NUC) therapy were retrospectively enrolled. Prognostic factors of OS were evaluated. Secular trends in the increased application of NUC therapy and improved survival were observed in the last decade. The HBV reactivation rate in patients without NUC therapy was 6.6%. By multivariate analysis, baseline low HBV viral load, achieving undetectable HBV DNA after TKI therapy, and ability to receive second-line therapy were found to be independent predictors of OS. In subgroup patients with NUC therapy, starting NUC before TKI was associated with a better OS. In conclusion, the application of antiviral therapy for patients with HBV-related HCC receiving TKI therapy has increased over time. Achieving complete virological suppression may contribute to a better OS in patients with advanced HBV-related HCC.

Absolute Camera Pose Regression Using an RGB-D Dual-Stream Network and Handcrafted Base Poses.

Absolute pose regression (APR) for camera localization is a single-shot approach that encodes the information of a 3D scene in an end-to-end neural network. The camera pose result of APR methods can be observed as the linear combination of the base poses. Previous APR methods' base poses are learned from training data. However, the training data can limit the performance of the methods, which cannot be generalized to cover the entire scene. To solve this issue, we use handcrafted base poses instead of learning-based base poses, which prevents overfitting the camera poses of the training data. Moreover, we use a dual-stream network architecture to process color and depth images separately to get more accurate localization. On the 7 Scenes dataset, the proposed method is among the best in median rotation error, and in median translation error, it outperforms previous APR methods. On a more difficult dataset-Oxford RobotCar dataset, the proposed method achieves notable improvements in median translation and rotation errors compared to the state-of-the-art APR methods.

Impaired Chromatin Remodeling Predicts Better Survival to Modified Gemcitabine and S-1 plus Nivolumab in Advanced Biliary Tract Cancer: A Phase II T1219 Study.

PURPOSE: Modified gemcitabine and S-1 (GS) is an active regimen for patients with advanced biliary tract cancer (ABTC) in our previous study. Herein, we report the results of a single-arm phase II of nivolumab plus modified GS (NGS) as first-line treatment in ABTC. PATIENTS AND METHODS: Patients received nivolumab 240 mg and 800 mg/m2 gemcitabine on day 1 plus daily 80/100/120 mg of S-1 (based on body surface area) on days 1 to 10, in a 2-week cycle. The primary endpoint was the objective response rate (ORR). The correlation between therapeutic efficacy and genetic alterations with signatures identified by targeted next-generation sequencing panels was explored. RESULTS: Between December 2019 and December 2020, 48 eligible patients were enrolled. After a median of 17.6 months of follow-up, the ORR was 45.9% [95% confidence interval (CI), 31.4%-60.8%]. The median progression-free survival (PFS) and overall survival (OS) was 9.1 (95% CI, 5.8-9.6) and 19.2 (95% CI, 11.6-not reached) months, respectively. All grade 3/4 treatment-related adverse events (AE) were less than 10%, except fatigue (14.6%) and skin rash (10.4%). Eighteen patients (35.4%) experienced immune-related AEs without treatment-related death. High tumor mutational burden (TMB-H; top 20%; ≥7.1 mut/Mb) only predicted prolonged median PFS but not OS. Up to 28.9% of patients who harbored loss-of-function mutations in chromatin remodeling genes demonstrated significantly longer median PFS and OS than those without alterations. CONCLUSIONS: NGS is a safe and promising regimen in ABTC. Impaired functions of chromatin remodeling genes may be a potential surrogate biomarker with predictive value in this study.

Durable objective response to sorafenib and role of sequential treatment in unresectable hepatocellular carcinoma.

Background: The response rate to sorafenib is limited for unresectable hepatocellular carcinoma (HCC). Little is known about the long-term outcomes of objective responders. The role of second-line therapies on the survival of sorafenib-responders is unclear. We aimed to delineate the long-term outcomes and the role of subsequent treatment after responding to sorafenib. Methods: From September 2012 to December 2019, 922 patients who received sorafenib treatment for unresectable HCC were retrospectively reviewed. Of these, 21 (2.3%) achieved a complete response (CR) and 54 (5.9%) had a partial response (PR) based on mRECIST criteria. Factors associated with survivals were analyzed. Results: During the median follow-up of 35.3 months, the median duration of response was 18.3 months (range: 2.3-45.5) for patients achieving CR and 10.0 months (range: 1.9-60.3) for PR. The median overall survival (OS) was 39.5 months [95% confidence interval (CI): 28.4-50.5] including values not yet estimable for CR and 25.8 months for PR. Patients who experienced treatment-related adverse events (TRAEs) had better median OS than those without (44.9 versus 18.1 months, p = 0.003). Eventually, 53 patients developed tumor progression; 30 patients received second-line systemic treatment including nivolumab (n = 8), regorafenib (n = 15), and chemotherapy (n = 7). Sorafenib-nivolumab sequential therapy provided the best median OS versus sorafenib-regorafenib and sorafenib-chemotherapy in these patients (55.8, 39.5, and 25.5 months), respectively. Conclusions: The response is durable for advanced HCC patients with CR or PR to sorafenib. Subsequent immunotherapy seems to provide the best survival. This information is important for characterizing outcomes of sorafenib-responders and the choice of sequential treatment.

Lenvatinib combined with nivolumab in advanced hepatocellular carcinoma-real-world experience.

Lenvatinib, a multi-tyrosine kinase inhibitor that inhibits vascular endothelial growth factor and fibroblast growth factor receptors pathway, activated the immune response in tumor microenvironment. However, the combination of lenvatinib and anti-PD-1 has been reported in early phase studies. Hence, this study aims to explore the efficacy and toxicity of lenvatinib combined with nivolumab in the real-world setting. Advanced HCC patients who underwent lenvatinib combined with nivolumab (L + N group) treatment at Taipei Veterans General Hospital (Taipei, Taiwan) were reviewed between January 2016 and December 2020. Treatment response and outcomes were collected and analyzed. A control group with lenvatinib (L group) was also included for comparison. Forty patients were included in L + N group and 47 in L group. The L + N group demonstrated a higher objective response rate than L group (45.0% vs. 23.4%, p = 0.03). The L + N group also achieved longer PFS (7.5 vs. 4.8 months, p = 0.05) and OS (22.9 vs. 10.3 months, p = 0.01) than L group. Patients with HBV infection and REFLECT criteria fit demonstrated a trend of better prognosis. The PFS for those with PR, SD and PD groups were 11.2, 6.4, and 2.2 months and OS were non-reached, 14.6 and 4.7 months, respectively. Portal vein thrombosis (HR 4.3, 95% C.I. 1.5-12.8) and AFP > 400 ng/mL (HR 3.3, 95% C.I. 1.1-9.3) were poor prognostic factors and nivolumab used remained a protective factor (HR 0.2, 95% C.I. 0.1-0.7). Dermatitis (35.0%), pruritis (27.5%), and hypothyroidism (27.5%) were the common toxicities. Few patients developed grade 3/4 toxicities, including dermatitis (15%), gastrointestinal bleeding (7.5%), hypertension (5.0%), pneumonitis (2.5%) and stomatitis (2.5%). This is the first real-world data reporting the promising efficacy and tolerable toxicities of lenvatinib combined with nivolumab in advanced HCC. Further randomized trials are prompted.

A Vision-Based System for In-Sleep Upper-Body and Head Pose Classification.

Sleep quality is known to have a considerable impact on human health. Recent research shows that head and body pose play a vital role in affecting sleep quality. This paper presents a deep multi-task learning network to perform head and upper-body detection and pose classification during sleep. The proposed system has two major advantages: first, it detects and predicts upper-body pose and head pose simultaneously during sleep, and second, it is a contact-free home security camera-based monitoring system that can work on remote subjects, as it uses images captured by a home security camera. In addition, a synopsis of sleep postures is provided for analysis and diagnosis of sleep patterns. Experimental results show that our multi-task model achieves an average of 92.5% accuracy on challenging datasets, yields the best performance compared to the other methods, and obtains 91.7% accuracy on the real-life overnight sleep data. The proposed system can be applied reliably to extensive public sleep data with various covering conditions and is robust to real-life overnight sleep data.

Correlation between drug sensitivity profiles of circulating tumour cell-derived organoids and clinical treatment response in patients with pancreatic ductal adenocarcinoma.

INTRODUCTION: Pancreatic ductal adenocarcinoma (PDAC) is highly aggressive and has poor prognosis. There are few biomarkers to inform treatment decisions, and collecting tumour samples for testing is challenging. METHODS: Circulating tumour cells (CTCs) from patients with PDAC liquid biopsies were expanded ex vivo to form CTC-derived organoid cultures, using a laboratory-developed biomimetic cell culture system. CTC-derived organoids were tested for sensitivity to a PDAC panel of nine drugs, with tests conducted in triplicate, and a weighted cytotoxicity score (CTS) was calculated from the results. Clinical response to treatment in patients was evaluated using Response Evaluation Criteria in Solid Tumours (RECIST) version 1.1 criteria at the time of blood sampling and 3 months later. The correlation between CTS and clinical response was then assessed. RESULTS: A total of 41 liquid biopsies (87.8% from patients with Stage 4 disease) were collected from 31 patients. The CTC-derived organoid expansion was achieved in 3 weeks, with 87.8% culture efficiency. CTC-derived organoid cultures were positive for EpCAM staining and negative for CD45 staining in the surface marker analysis. All patients had received a median of two lines of treatment prior to enrolment and prospective utility analysis indicated significant correlation of CTS with clinical treatment response. Two representative case studies are also presented to illustrate the relevant clinical contexts. CONCLUSIONS: CTCs were expanded from patients with PDAC liquid biopsies with a high success rate. Drug sensitivity profiles from CTC-derived organoid cultures correlated meaningfully with treatment response. Further studies are warranted to validate the predictive potential for this approach.

Microsatellite Instability, Epstein-Barr Virus, and Programmed Cell Death Ligand 1 as Predictive Markers for Immunotherapy in Gastric Cancer.

Immunotherapy benefits selected cases of gastric cancer (GC), but the correlation between biomarkers and prognosis is still unclear. Fifty-two patients with GC who underwent immunotherapy were enrolled from June 2016 to December 2020. Their clinical features and biomarkers-microsatellite instability-high (MSI-H), programmed cell death ligand 1 (PD-L1) combined positive score (CPS), and Epstein-Barr encoding region (EBER)-were analyzed. Eight patients had MSI-H, five patients had EBER, 29 patients had CPS ≥ 1, and 20 patients had no biomarker. The overall response rates (ORRs) of the MSI-H, EBER, PD-L1 CPS ≥ 1, and all-negative group were 75%, 60%, 44.8%, and 15%, respectively. Compared with that of the all-negative group, progression-free survival (PFS) was better in the MSI-H (p = 0.018), CPS ≥ 5 (p = 0.012), and CPS ≥ 10 (p = 0.006) groups, but not in the EBER (p = 0.2) and CPS ≥ 1 groups (p = 0.35). Ten patients had combined biomarkers, CPS ≥ 1 with either MSI-H or EBER. The ORRs were 66.7% for CPS ≥ 1 and MSI-H and 75% for CPS ≥ 1 and EBER. PFS was better in patients with combined biomarkers (p = 0.01). MSI-H, EBER, and CPS are useful biomarkers for predicting the efficacy of immunotherapy.

Anti-PD-1 combined sorafenib versus anti-PD-1 alone in the treatment of advanced hepatocellular cell carcinoma: a propensity score-matching study.

BACKGROUND: Vascular endothelial growth factor (VEGF) plays a role in the tumor microenvironment. Sorafenib, which inhibits the VEGF pathway, has an immune-modulation function but lacks substantial clinical data. This study aims to explore the efficacy of anti-PD-1 combined sorafenib in advanced hepatocellular carcinoma (HCC). METHODS: HCC patients who underwent anti-PD-1 treatment at Taipei Veterans General Hospital (Taipei, Taiwan) between January 2016 and February 2019 were reviewed. The efficacy was compared between groups after propensity-score matching. RESULTS: There were 173 HCC patients receiving anti-PD-1. After excluding unsuitable cases, 140 patients were analyzed, of which 58 received combination therapy and 82 received anti-PD-1 alone. The combination therapy had a trend of higher CR rate (8.6% vs. 4.9%, ns.), ORR (22.4% vs. 19.5%, ns.) and significantly higher DCR (69.0% vs. 37.8%, p < 0.05) comparing to anti-PD-1 alone. After matching, combination group achieved longer progression-free survival (3.87 vs. 2.43 months, p < 0.05) and overall survival (not reached vs. 7.17 months, p < 0.05) than anti-PD-1 alone, without higher grade 3/4 AE (10.3% vs. 7.1%, p = 0.73). The tumor response varied among different metastatic sites, with high responses in adrenal glands, peritoneum and lungs. The more AFP declined (> 10, > 50 and > 66%), the higher the ORR (70, 80 and 92%) and CR rates (30, 35 and 58%) were achieved at day 28. CONCLUSIONS: This is the first study to demonstrate the combination of anti-PD-1 and sorafenib had better efficacy and survival benefit. A prospective randomized study is needed to confirm this finding.

Evolutionary Learning-Derived Clinical-Radiomic Models for Predicting Early Recurrence of Hepatocellular Carcinoma after Resection.

BACKGROUND AND AIMS: Current prediction models for early recurrence of hepatocellular carcinoma (HCC) after surgical resection remain unsatisfactory. The aim of this study was to develop evolutionary learning-derived prediction models with interpretability using both clinical and radiomic features to predict early recurrence of HCC after surgical resection. METHODS: Consecutive 517 HCC patients receiving surgical resection with available contrast-enhanced computed tomography (CECT) images before resection were retrospectively enrolled. Patients were randomly assigned to a training set (n = 362) and a test set (n = 155) in a ratio of 7:3. Tumor segmentation of all CECT images including noncontrast phase, arterial phase, and portal venous phase was manually performed for radiomic feature extraction. A novel evolutionary learning-derived method called genetic algorithm for predicting recurrence after surgery of liver cancer (GARSL) was proposed to design prediction models for early recurrence of HCC within 2 years after surgery. RESULTS: A total of 143 features, including 26 preoperative clinical features, 5 postoperative pathological features, and 112 radiomic features were used to develop GARSL preoperative and postoperative models. The area under the receiver operating characteristic curves (AUCs) for early recurrence of HCC within 2 years were 0.781 and 0.767, respectively, in the training set, and 0.739 and 0.741, respectively, in the test set. The accuracy of GARSL models derived from the evolutionary learning method was significantly better than models derived from other well-known machine learning methods or the early recurrence after surgery for liver tumor (ERASL) preoperative (AUC = 0.687, p < 0.001 vs. GARSL preoperative) and ERASL postoperative (AUC = 0.688, p < 0.001 vs. GARSL postoperative) models using clinical features only. CONCLUSION: The GARSL models using both clinical and radiomic features significantly improved the accuracy to predict early recurrence of HCC after surgical resection, which was significantly better than other well-known machine learning-derived models and currently available clinical models.

Ruxolitinib Combined with Gemcitabine against Cholangiocarcinoma Growth via the JAK2/STAT1/3/ALDH1A3 Pathway.

Cholangiocarcinoma is the most common primary malignant tumor of the bile duct. The current standard first-line treatment for advanced or metastatic cholangiocarcinoma is gemcitabine and cisplatin. However, few effective treatment choices exist for refractory cholangiocarcinoma, and additional therapeutic drugs are urgently required. Our previous work demonstrated that the ALDH isoform 1A3 plays a vital role in the malignant behavior of cholangiocarcinoma and may serve as a new therapeutic target. In this study, we found a positive correlation between ALDH1A3 protein expression levels and the cell migration abilities of three cholangiocarcinoma cell lines, which was verified using ALDH1A3-overexpressing and ALDH1A3-knockdown clones. We also used ALDH1A3-high and ALDH1A3-low populations of cholangiocarcinoma cell lines from the library of integrated network-based cellular signatures (LINCS) program and assessed the effects of ruxolitinib, a commercially available JAK2 inhibitor. Ruxolitinib had a higher cytotoxic effect when combined with gemcitabine. Furthermore, the nuclear translocation STAT1 and STAT3 heterodimers were markedly diminished by ruxolitinib treatment, possibly resulting in decreased ALDH1A3 activation. Notably, ruxolitinib alone or combined with gemcitabine led to significantly reduced tumor size and weight. Collectively, our studies suggest that ruxolitinib might suppress the ALDH1A3 activation through the JAK2/STAT1/3 pathway in cholangiocarcinoma, and trials should be undertaken to evaluate its efficacy in clinical therapy.

Quantitative spectroscopic comparison of the optical properties of mouse cochlea microstructures using optical coherence tomography at 1.06†µm and 1.3†µm wavelengths.

Currently, the cochlear implantation procedure mainly relies on using a hand lens or surgical microscope, where the success rate and surgery time strongly depend on the surgeon's experience. Therefore, a real-time image guidance tool may facilitate the implantation procedure. In this study, we performed a systematic and quantitative analysis on the optical characterization of ex vivo mouse cochlear samples using two swept-source optical coherence tomography (OCT) systems operating at the 1.06-µm and 1.3-µm wavelengths. The analysis results demonstrated that the 1.06-µm OCT imaging system performed better than the 1.3-µm OCT imaging system in terms of the image contrast between the cochlear conduits and the neighboring cochlear bony wall structure. However, the 1.3-µm OCT imaging system allowed for greater imaging depth of the cochlear samples because of decreased tissue scattering. In addition, we have investigated the feasibility of identifying the electrode of the cochlear implant within the ex vivo cochlear sample with the 1.06-µm OCT imaging. The study results demonstrated the potential of developing an image guidance tool for the cochlea implantation procedure as well as other otorhinolaryngology applications.

Potential of circulating immune cells as biomarkers of nivolumab treatment efficacy for advanced hepatocellular carcinoma.

BACKGROUND: Remarkable progress has been made in immunotherapy, specifically antibodies for programmed death 1 (PD-1) or programmed death-ligand 1 (PD-L1), for treating advanced cancers. In this study, we explored whether circulating immune cells can be used as biomarkers of the efficacy of such therapy. METHODS: We enrolled patients who received nivolumab, an anti-PD-1 antibody, for advanced hepatocellular carcinoma (HCC) in clinical trials and who consented to the collection of their peripheral blood. Using flow cytometry, we analyzed lymphocyte subclasses and the PD-1 or PD-L1 positivity of immune cells. These results were compared between patients with disease control (complete response, partial response, or stable disease) and those with disease progression. RESULTS: This study included 16 patients. The objective response rate was 19%, and the disease control rate was 75%. The hemogram results and the percentage of total αß T cells or CD4 T cells did not significantly change after nivolumab treatment; moreover, they were not associated with treatment outcomes. The number of CD8 T cells significantly increased after 4 weeks (p = 0.016); however, this change was not associated with treatment outcomes. Patients with disease control exhibited peripheral B cells with significantly lower pretreatment PD-1 positivity than did patients with disease progression (p = 0.042). Patients with disease progression were more likely to exhibit monocytes with increased PD-L1 positivity after 28 (p = 0.020) or 42 (p = 0.008) days of treatment. CONCLUSION: The low pretreatment PD-1 positivity of peripheral B cells and the constant posttreatment PD-L1 positivity of monocytes were associated with disease control after nivolumab treatment for advanced HCC.