Single-cell profiling identifies IL1Bhi macrophages associated with inflammation in PD-1 inhibitor-induced inflammatory arthritis.

Inflammatory arthritis (IA) is a common rheumatic adverse event following immune checkpoint inhibitors treatment. The clinical disparities between IA and rheumatoid arthritis (RA) imply disease heterogeneity and distinct mechanisms, which remain elusive. Here, we profile CD45+ cells from the peripheral blood or synovial fluid (SF) of patients with PD-1-induced IA (PD-1-IA) or RA using single-cell RNA sequencing. We report the predominant expansion of IL1Bhi myeloid cells with enhanced NLRP3 inflammasome activity, in both the SF and peripheral blood of PD-1-IA, but not RA. IL1Bhi macrophages in the SF of PD-1-IA shared similar inflammatory signatures and might originate from peripheral IL1Bhi monocytes. Exhausted CD8+ T cells (Texs) significantly accumulated in the SF of patients with PD-1-IA. IL1Bhi myeloid cells communicated with CD8+ Texs possibly via the CCR1-CCL5/CCL3 and CXCL10-CXCR3 axes. Collectively, these results demonstrate different cellular and molecular pathways in PD-1-IA and RA and highlight IL1Bhi macrophages as a possible therapeutic target in PD-1-IA.

Real-Time Seizure Detection Using Behind-the-Ear Wearable System.

INTRODUCTION: This study examines the usability and comfort of a behind-the-ear seizure detection device called brain seizure detection (BrainSD) that captures ictal electroencephalogram (EEG) data using four scalp electrodes. METHODS: This is a feasibility study. Thirty-two patients admitted to a level 4 Epilepsy Monitoring Unit were enrolled. The subjects wore BrainSD and the standard 21-channel video-EEG simultaneously. Epileptologists analyzed the EEG signals collected by BrainSD and validated it using video-EEG data to confirm its accuracy. A poststudy survey was completed by each participant to evaluate the comfort and usability of the device. In addition, a focus group of UT Southwestern epileptologists was held to discuss the features they would like to see in a home EEG-based seizure detection device such as BrainSD. RESULTS: In total, BrainSD captured 11 of the 14 seizures that occurred while the device was being worn. All 11 seizures captured on BrainSD had focal onset, with three becoming bilateral tonic-clonic and one seizure being of subclinical status. The device was worn for an average of 41 hours. The poststudy survey showed that most users found the device comfortable, easy-to-use, and stated they would be interested in using BrainSD. Epileptologists in the focus group expressed a similar interest in BrainSD. CONCLUSIONS: Brain seizure detection is able to detect EEG signals using four behind-the-ear electrodes. Its comfort, ease-of-use, and ability to detect numerous types of seizures make BrainSD an acceptable at-home EEG detection device from both the patient and provider perspective.

Safety and Tolerability of Low-Dose Radiation and Stereotactic Body Radiotherapy + Sintilimab for Treatment-Naïve Stage IV PD-L1+ Non-Small Cell Lung Cancer Patients.

PURPOSE: Low-dose radiotherapy (LDRT) may enhance the synergistic antitumor effect of combined immunotherapy and stereotactic body radiotherapy (SBRT). The safety and efficacy of this novel triple-combination therapy were evaluated for the first time as first-line treatment for patients with metastatic non-small cell lung cancer (NSCLC). PATIENTS AND METHODS: This prospective phase I study enrolled 29 patients and included a dose-escalation and dose-expansion phase. Patients received SBRT [30 Gray (Gy)/3f] to small lesions and LDRT (2 Gy/1f, 4 Gy/2f, or 10 Gy/5f) to a large lesion concurrently, followed by sintilimab (a programmed death-1 inhibitor). The primary endpoint was safety and tolerability; secondary endpoints included objective response rate (ORR), progression-free survival (PFS), and overall survival (OS). RESULTS: No dose-limiting toxicities were observed during the dose-escalation phase; 4 Gy/2f was the recommended LDRT dose. Median follow-up was 15.6 months. Treatment-related adverse events (TRAE) occurred in 96.6% (28/29) of patients [grade ≥ 3; 20.7% (6/29)]; 2 patients (6.9%) discontinued due to TRAEs. Seven patients experienced pneumonitis (grade 2, n = 6; grade 3, n = 1). Immune-related adverse events were noted in 58.6% (17/29) of patients. In patients with tumor assessment (n = 28), ORR and confirmed ORR were 60.7% and 57.1%, respectively. Median PFS was 8.6 months (95% confidence interval, 3.7-16.5), and median OS was not reached. Exploratory analyses suggested both expanded and newly emerging T-cell receptor clonotypes were associated with better PFS. CONCLUSIONS: The findings indicate that the novel SBRT + LDRT + sintilimab therapy is safe and promising in patients with programmed death ligand-1-positive, driver gene-negative primary metastatic NSCLC.

Tackling the current dilemma of immunotherapy in extensive-stage small cell lung cancer: A promising strategy of combining with radiotherapy.

Progress in the treatment of small cell lung cancer (SCLC) has been modest over the past decades until the advent of immune checkpoint inhibitors, which have redefined the standard first-line treatment for extensive-stage SCLC (ES-SCLC). However, despite the positive results of several clinical trials, the limited survival benefit achieved suggests that the priming and sustaining of immunotherapeutic efficacy are poor and further investigation is urgently needed. In this review, we aim to summarize the potential mechanisms underlying the limited efficacy of immunotherapy and intrinsic resistance in ES-SCLC, including impaired antigen presentation and limited T cell infiltration. Moreover, to tackle the current dilemma, given the synergistic effects of radiotherapy on immunotherapy, especially the unique advantages of low-dose radiotherapy (LDRT), such as less immunosuppression and lower radiation toxicity, we propose radiotherapy as a booster to enhance the immunotherapeutic efficacy by overcoming the poor priming effect. Recent clinical trials, including ours, have also focused on adding radiotherapy, including LDRT, to first-line treatment of ES-SCLC. Additionally, we also suggest combination strategies to sustain the immunostimulatory effect of radiotherapy, as well as the cancer-immunity cycle, and further improve survival outcomes.

Efficacy and toxicity profile of first-line treatment for extensive-stage small cell lung cancer: A Bayesian network meta-analysis.

BACKGROUND: The efficacy and toxicity profiles for extensive-stage small cell lung cancer (ES-SCLC) are unclear. We aimed to address this gap through a Bayesian network meta-analysis. METHODS: We performed network analysis from randomized controlled trials comparing these treatments: PD-(L)1 inhibitor, CTLA-4 inhibitor, CXCR inhibitor, PARP inhibitor, CDK inhibitor, chemotherapy, and their combinations. Pooled estimations of progression-free survival, overall survival, objective response rate, and toxicity (systematic and specific) were conducted within the Bayesian framework. RESULTS: Twenty-five trials involving 9 strategies were included. In terms of progression-free survival and overall survival, PD-(L)1 inhibitor combined with cisplatin/carboplatin (P) and etoposide (E) shown the acknowledged superiority than other treatments. The addition of CTLA-4 inhibitor (ipilimumab) to EP had the highest response rate among these regimens, and the combination of chemotherapy (irinotecan) and cisplatin/carboplatin had the greatest probability of performing considerable systematic security. The secondary endpoint was specific adverse events, including vomiting, fatigue, thrombocytopenia, constipation, and decreased appetite; hence we depicted the specific toxicity profile of each regimen. In addition, we identified the differences between PD-1 inhibitors and PD-L1 inhibitors in prolonging overall survival time for the central nervous system (CNS)/liver metastases patients. CONCLUSIONS: EP combined with PD-(L)1 inhibitor followed by CTLA-4 inhibitors or anti-angiogenesis was the considerable treatment with considerable efficacy and safety for ES-SCLC. Each treatment has a unique specific toxicity profile, which needs more attention.

Perfusable cell-laden matrices to guide patterning of vascularization in vivo.

The survival and function of transplanted tissue engineered constructs and organs require a functional vascular network. In the body, blood vessels are organized into distinct patterns that enable optimal nutrient delivery and oxygen exchange. Mimicking these same patterns in engineered tissue matrices is a critical challenge for cell and tissue transplantation. Here, we leverage bioprinting to assemble endothelial cells in to organized networks of large (>100 µm) diameter blood vessel grafts to enable spatial control of vessel formation in vivo. Acellular PEG/GelMA matrices with perfusable channels were bioprinted and laminar flow was confirmed within patterned channels, beneficial for channel endothelialization and consistent wall shear stress for endothelial maturation. Next, human umbilical vein endothelial cells (HUVECs) were seeded within the patterned channel and maintained under perfusion culture for multiple days, leading to cell-cell coordination within the construct in vitro. HUVEC and human mesenchymal stromal cells (hMSCs) were additionally added to bulk matrix to further stimulate anastomosis of our bioprinted vascular grafts in vivo. Among multiple candidate matrix designs, the greatest degree of biomaterial vascularization in vivo was seen within matrices fabricated with HUVECs and hMSCs encapsulated within the bulk matrix and HUVECs lining the walls of the patterned channels, dubbed design M-C_E. For this lead design, vasculature was detected within the endothelialized, perfusable matrix channels as early as two weeks and αSMA+ CD31+ vessels greater than 100 µm in diameter had formed by eight weeks, resulting in durable and mature vasculature. Notably, vascularization occurred within the endothelialized, bioprinted channels of the matrix, demonstrating the ability of bioprinted perfusable structures to guide vascularization patterns in vivo. The ability to influence vascular patterning in vivo can contribute to the future development of vascularized tissues and organs.

Real-world landscape transition of death causes in the immunotherapy era for metastatic non-small cell lung cancer.

Background: With approval of anti-PD-1/PD-L1, metastatic non-small cell lung cancer (NSCLC) has entered the era of immunotherapy. Since immune-related adverse events (irAEs) occur commonly in patients receiving anti-PD-1/PD-L1, the landscape of death causes may have changed in metastatic NSCLC. We aim to compare patterns of death causes in metastatic NSCLC between the pre-immunotherapy and immunotherapy era to identify the consequent landscape transition of death causes. Methods: In this cohort study, 298,48patients with metastatic NSCLC diagnosed between 2000 and 2018 were identified from the Surveillance, Epidemiology, and End Results Program. Unsupervised clustering with Bayesian inference method was performed for all patients' death causes, which separated them into two death patterns: the pre-immunotherapy era group and the immunotherapy era group. Relative risk (RR) of each death cause between two groups was estimated using Poisson regression. Reduced death risk as survival time was calculated with locally weighted scatterplot smooth (Lowess) regression. Results: Two patterns of death causes were identified by unsupervised clustering for all patients. Thus, we separated them into two groups, the immunotherapy era (2015-2017, N=40,172) and the pre-immunotherapy era (2000-2011, N=166,321), in consideration of obscure availability to immunotherapy for patients diagnosed in 2012-2014, when the follow-up cutoff was set as three years. Although all-cause death risk had reduced (29.2%, 13.7% and 27.8% for death risks of lung cancer, non-cancer and other cancers), non-cancer deaths in the immunotherapy era (N=2,100, 5.2%; RR=1.155, 95%CI: 1.101-1.211, P<0.001) significantly increased than that in the pre-immunotherapy era (N=7,249, 5.0%), which included causes of chronic obstructive pulmonary disease, cerebrovascular disease, pneumonia and influenza, septicemia, infectious diseases, accidents and adverse effects, hypertension, and chronic liver disease and cirrhosis. However, cancer-caused deaths (excluding lung cancer) had no significant changes. Conclusions: The real-world landscape of death causes has changed in metastatic NSCLC when entering the immunotherapy era, and the increased non-cancer diseases may contribute to the changes that may be associated with commonly occurring irAEs.

Lung Cancer Stem Cell Markers as Therapeutic Targets: An Update on Signaling Pathways and Therapies.

Cancer stem cells, a relatively small group of self-renewing cancer cells, were first isolated from acute myeloid leukemia. These cells can play a crucial role in tumor metastasis, relapse, and therapy resistance. The cancer stem cell theory may be applied to lung cancer and explain the inefficiency of traditional treatments and eventual recurrence. However, because of the unclear accuracy and illusive biological function of cancer stem cells, some researchers remain cautious about this theory. Despite the ongoing controversy, cancer stem cells are still being investigated, and their biomarkers are being discovered for application in cancer diagnosis, targeted therapy, and prognosis prediction. Potential lung cancer stem cell markers mainly include surface biomarkers such as CD44, CD133, epithelial cell adhesion molecule, and ATP-binding cassette subfamily G member 2, along with intracellular biomarkers such as aldehyde dehydrogenase, sex-determining region Y-box 2, NANOG, and octamer-binding transcription factor 4. These markers have different structures and functions but are closely associated with the stem potential and uncontrollable proliferation of tumor cells. The aberrant activation of major signaling pathways, such as Notch, Hedgehog, and Wnt, may be associated with the expression and regulation of certain lung cancer stem cell markers, thus leading to lung cancer stem cell maintenance, chemotherapy resistance, and cancer promotion. Treatments targeting lung cancer stem cell markers, including antibody drugs, nanoparticle drugs, chimeric antigen receptor T-cell therapy, and other natural or synthetic specific inhibitors, may provide new hope for patients who are resistant to conventional lung cancer therapies. This review provides comprehensive and updated data on lung cancer stem cell markers with regard to their structures, functions, signaling pathways, and promising therapeutic target approaches, aiming to elucidate potential new therapies for lung cancer.

Treatment-related adverse events of PD-1 and PD-L1 inhibitor-based combination therapies in clinical trials: a systematic review and meta-analysis.

BACKGROUND: Numerous ongoing trials are testing anti-PD-1-based or anti-PD-L1-based cancer treatment combinations. Understanding the toxicity profiles of treatment-related adverse events is essential. The aim of this study was to comprehensively investigate the incidences and profiles of treatment-related adverse events across different combination therapies. METHODS: We did a systematic review and meta-analysis comparing different chemotherapy, targeted therapy, immunotherapy, and radiotherapy combinations with PD-1 or PD-L1 inhibitors. We searched Pubmed, Embase, and Cochrane databases for articles published in English between Jan 1, 2000, and May 21, 2020, investigating globally approved PD-1 or PD-L1 inhibitor-based combination therapies. Only prospective trials reporting overall incidence or tabulated data of treatment-related adverse events were included. Trials investigating sequential therapies, comprising three or more classes of therapies, and enrolling less than ten patients were excluded. The primary outcomes were overall incidences and profiles for all-grade and grade 3 or higher treatment-related adverse events by random-effect models. Heterogeneity between studies was assessed with I2 statistics. The summary measures for main outcomes are incidences (95% CI). The 95% CI were calculated together with the incidence through a random-effects model with a logit transformation. The protocol is registered with PROSPERO (CRD42020189617). FINDINGS: We identified 2540 records, of which 161 studies (17 197 patients) met the inclusion criteria. The overall incidence of treatment-related adverse events in the chemotherapy combination was 97·7% (95% CI 96·4-98·5; I2=75%) for all-grade adverse events and 68·3% (60·7-75·0; I2=93%) for grade 3 or higher adverse events; in the targeted therapy combination was 94·5% (90·7-96·8; I2=86%) for all-grade adverse events and 47·3% (37·3-57·5; I2=93%) for grade 3 or higher adverse events; in the immunotherapy combination was 86·8% (80·9-91·1; I2=94%) for all-grade adverse events and 35·9% (29·5-42·9; I2=92%) for grade 3 or higher adverse events; and in the radiotherapy combination was 89·4% (69·0-96·9; I2=74%) for all-grade adverse events and 12·4% (4·4-30·6; I2=73%) for grade 3 or higher adverse events. For these four combination therapies, the most common all-grade adverse events were anaemia (45.4% [95% CI 32·4-59·1]), fatigue (34·3% [27·5-41·9]), fatigue (26·4% [19·2-35·2]), and dysphagia (30·0% [18·7-44·5]), respectively, and the most common grade 3 or higher adverse events were neutropenia (19·6% [13·5-27·7]), hypertension (9·3% [5·7-14·9]), lipase increased (7·2% [5·2-9·9]), and lymphopenia (10·3% [4·5-21·8]). All included randomised controlled trials had a low risk of bias. INTERPRETATION: Our study provides comprehensive data on treatment-related adverse events of different PD-1 or PD-L1 inhibitor-based combination therapies. Our results provide an essential reference of toxicity profiles of PD-1 or PD-L1 inhibitor-based combination therapies for clinicians in routine practice of cancer care. FUNDING: National Key Research and Development Programme, National Natural Science Foundation of China key program, National Natural Science Foundation of China general program, Chinese Academy of Medical Sciences Initiative for Innovative Medicine, Beijing Municipal Science and Technology Commission, Non-profit Central Research Institute Fund.

Weighting tumor-specific TCR repertoires as a classifier to stratify the immunotherapy delivery in non-small cell lung cancers.

Analysis of T cell receptor (TCR) repertoires may contribute to better understanding of the response to immunotherapy. By deep sequencing of the TCR ß chain complementarity-determining regions in the paired biopsies and peripheral blood specimens of 31 patients with non-small cell lung cancer (NSCLC) treated with anti-programmed death 1 (PD-1) or PD-ligand 1 (PD-L1) therapy, we developed a previously unidentified index, the TCR-based immunotherapy response index (TIR index), that estimated the degree of overlap of the TCR repertoire between tumor-infiltrating lymphocytes and circulating PD-1+CD8+T cells (shared TCR clones). This index correlated with response and survival outcomes of anti-PD-(L)1 treatment. All the TCR sequences of neoantigen-stimulated T cells were included in the shared TCR clones, indicating that TCR clones involved in TIR index estimation represented tumor-specific T cells. Therefore, the TIR index is a feasible approach for assessing tumor-specific TCR and stratifying patients with NSCLC for anti-PD-(L)1 therapy.

Clinical manifestations and long-term prognosis of Good syndrome: Results from a single-center cohort study from China.

OBJECTIVE: To describe clinical features and long-term prognosis in patients with Good syndrome (GS). METHODS: We retrospectively reviewed medical records of GS patients at Peking Union Medical College Hospital from January 2001 to May 2019. Data regarding clinical manifestations and treatments were collected. Patients were routinely followed-up via clinical and telephone interviews, and survival analysis was performed with Kaplan-Meier analysis. RESULTS: Twenty-four patients were identified, including eight males and 16 females, with a median age at diagnosis of 58 years (interquartile range [IQR], 52-62 years). Twelve patients (50%) had autoimmune manifestations. Multi-organ involvements included musculoskeletal (37.5%), respiratory (33.3%), gastrointestinal (29.2%), hematologic (29.2%) systems, et.al. Infections were detected in 23 (95.8%) patients, mostly located in lung (69.6%), blood (26.1%), and gastrointestinal tract (21.7%). Thymectomy was performed in 23 patients, with the most common histology of type AB (10, 47.6%). Twenty-one patients were consecutively followed-up with a median follow-up of 84 (IQR, 48-116) months and 11 (52.4%) died, mainly due to infection (8/11, 72.7%). The 5- and 10-year survival rates were 90% (95% confidence interval [CI], 77.8-100%) and 38.5% (95% CI, 19.6-75.5%), respectively. CONCLUSION: GS patients tended to present with various infections and autoimmune manifestations. The 10-year survival rate from the Chinese population was poor, mainly due to infections.

Survival and prognostic factors of lung cancer patients with preexisting connective tissue disease: a retrospective cohort study.

BACKGROUND: Connective tissue diseases (CTDs) are a group of special commodities in lung cancer (LC). This study aimed to analyze the survival and prognostic factors of LC patients with preexisting CTDs. METHODS: A total of 84 LC patients with preexisting CTDs that presented at Peking Union Medical College Hospital (PUMCH) were retrospectively recruited in this study between January 2000 and June 2017. Patient survival was compared using the Kaplan-Meier method. Univariate and multivariate Cox proportional hazard models were used to assess prognostic variables. RESULTS: Of the 84 LC patients, 36 (41.8%) had underlying rheumatoid arthritis (RA), 20 (23.8%) had idiopathic inflammatory myopathy (IIM), 18 (21.4%) had Sjögren syndrome (SS), 6 (7.1%) had systemic sclerosis (SSc), and 4 (4.8%) had systemic lupus erythematosus (SLE). The median overall survival (OS) was 21 months (IQR, 8-72 months), and the 1-, 3-, and 5-year survival rates were 61.3%, 36.7%, and 29.5%, respectively. The survival rates between different CTD subgroups, histopathologies, and disease stages were significantly different (P<0.05). Multivariate analysis showed that the independent prognostic factors for OS were IIM [hazard ratio (HR), 3.61; 95% confidence intervals (CI), 1.69-8.21; P=0.002], SS (HR, 2.72; 95% CI, 1.01-7.33; P=0.048), and radical resection (HR, 0.11; 95% CI, 0.04-0.35; P<0.001). CONCLUSIONS: Different CTD subtypes and the radical resection of LC are closely related to patient prognosis. This indicates a need for both identifications of CTD types and active treatment strategies for LC.

Are immune-related adverse events associated with the efficacy of immune checkpoint inhibitors in patients with cancer? A systematic review and meta-analysis.

BACKGROUND: A number of studies have reported an association between the occurrence of immune-related adverse events (irAEs) and clinical efficacy in patients undergoing treatment with immune checkpoint inhibitors (ICIs), but the results remain controversial. METHODS: Under the guidance of a predefined protocol and Preferred Reporting Items for Systematic Reviews and Meta-analyses statement, this meta-analysis included cohort studies investigating the association of irAEs and efficacy of ICIs in patients with cancer. The primary outcome was overall survival (OS), and the secondary outcome was progression-free survival (PFS). Subgroup analyses involving the cancer type, class of ICIs, combination therapy, sample size, model, landmark analysis, and approach used to extract the data were performed. Specific analyses of the type and grade of irAEs were also performed. RESULTS: This meta-analysis included 30 studies including 4971 individuals. Patients with cancer who developed irAEs experienced both an OS benefit and a PFS benefit from ICI therapy compared to patients who did not develop irAEs (OS: hazard ratio (HR), 0.54, 95% confidence interval (CI), 0.45-0.65; p < 0.001; PFS: HR, 0.52, 95% CI, 0.44-0.61, p < 0.001). Subgroup analyses of the study quality characteristics and cancer types recapitulated these findings. Specific analyses of endocrine irAEs (OS: HR, 0.52, 95% CI, 0.44-0.62, p < 0.001), dermatological irAEs (OS: HR, 0.45, 95% CI, 0.35-0.59, p < 0.001), and low-grade irAEs (OS: HR, 0.57, 95% CI, 0.43-0.75; p < 0.001) yielded similar results. The association between irAE development and a favorable benefit on survival was significant in patients with cancer who were undergoing treatment with programmed cell death-1 inhibitors (OS: HR, 0.51, 95% CI, 0.42-0.62; p < 0.001), but not cytotoxic T-lymphocyte antigen-4 inhibitors (OS: HR, 0.89, 95% CI, 0.49-1.61; p = 0.706). Additionally, the association was significant in patients with cancer who were treated with ICIs as a monotherapy (OS: HR, 0.53, 95% CI, 0.43-0.65; p < 0.001), but not as a combination therapy (OS: HR, 0.62, 95% CI, 0.36-1.05; p = 0.073). CONCLUSIONS: The occurrence of irAEs was significantly associated with a better ICI efficacy in patients with cancer, particularly endocrine, dermatological, and low-grade irAEs. Further large-scale prospective studies are warranted to validate our findings. SYSTEMATIC REVIEW REGISTRATION: PROSPERO CRD42019129310.

Immune-related adverse events of checkpoint inhibitors: Insights into immunological dysregulation.

Immune checkpoint inhibitors (ICIs) targeting against programmed cell death-1(PD-1) and cytotoxic T-lymphocyte antigen-4 (CTLA-4) have shown efficacy in cancer treatment. However, a spectrum of immune-related adverse events (irAEs) have raised concerns about their clinical application. IrAEs are distinct from traditional chemo- and radiotherapy-induced toxicities, as they are related in particular to the dysregulation of immune system and autoimmunity. The underlying pathogenesis of irAEs remains elusive. Understanding of the potential underlying mechanism is of great importance for the management of irAEs and the development of new ICIs with insignificant irAEs. In this review, we summarize the current evidence to provide insights into the biological basis of irAEs and provide a potential explanation for their pathogenesis, with focus on the relationship between checkpoint molecules and immune cell regulation.

TCR Repertoire Diversity of Peripheral PD-1+CD8+ T Cells Predicts Clinical Outcomes after Immunotherapy in Patients with Non-Small Cell Lung Cancer.

T-cell receptor (TCR)-based biomarkers might predict patient response to immune checkpoint blockade (ICB) but need further exploration and validation for that use. We sequenced complementarity-determining region 3 of TCRß chains isolated from PD-1+ CD8+ T cells to investigate its value for predicting the response to anti-programmed cell death 1 (PD-1)/PD-ligand 1 (PD-L1) therapy in patients with non-small cell lung cancer (NSCLC). Two independent patient cohorts (cohort A, n = 25; cohort B, n = 15) were used as discovery and validation sets, respectively. Pre- and post-ICB peripheral blood samples were collected. In cohort A, patients with high PD-1+ CD8+ TCR diversity before ICB treatment showed better response to ICB and progression-free survival (PFS) compared with patients with low diversity [6.4 months vs. 2.5 months, HR, 0.39; 95% confidence interval (CI), 0.17-0.94; P = 0.021]. The results were validated in cohort B. Pre-ICB PD-1+ CD8+ TCR diversity achieved an optimal Youden's index of 0.81 (sensitivity = 0.87 and specificity = 0.94) for differentiating the ICB response in the merged dataset (cohort A plus cohort B). Patients with increased PD-1+ CD8+ TCR clonality after ICB treatment had longer PFS (7.3 months vs. 2.6 months, HR, 0.26; 95% CI, 0.08-0.86; P = 0.002) than those with decreased clonality. Thus, TCR diversity and clonality in peripheral blood PD-1+ CD8+ T cells may serve as noninvasive predictors of patient response to ICB and survival outcomes in NSCLC.

Galectin-9 Expression Predicts Favorable Clinical Outcome in Solid Tumors: A Systematic Review and Meta-Analysis.

Background and Objective: Galectin-9 (Gal-9) is one of the galectin family members which are known as proteins with ß-galactoside-binding affinity. Accumulative evidence suggest that Gal-9 plays multifaceted roles in tumor biology. However, the prognostic significance of Gal-9 in solid cancer patients remains controversial. The objective of the study was to clarify the prognostic significance of Gal-9 in solid tumors via meta-analysis. Methods: We searched PubMed, Embase and the Cochrane library for studies that report the correlation between Gal-9 expression and prognosis or clinicopathological parameters in solid cancer patients from inception to October 2017, with no language restriction. We calculated pooled hazard ratio (HR) and 95% confidence interval (CI) to investigate the prognostic significance of Gal-9 expression in solid tumors. We also calculated Odds ratio (OR) to explore the association between Gal-9 expression and clinicopathological features. Results: We included Fourteen studies with 2326 patients in our meta-analysis. The synthetic results revealed that high Gal-9 expression indicated improved overall survival (OS; HR = 0.70, 95% CI = 0.51-0.71, P = 0.006) but had no correlation with disease-free survival (DFS)/recurrence-free survival (RFS) (HR = 0.85, 95% CI = 0.51-1.41, P = 0.527) in solid tumors. In stratified analyses, high Gal-9 expression was significantly correlated with improved OS in hepatocellular carcinoma and colon cancer and with improved DFS/RFS in gastric cancer and non-small cell lung cancer. In addition, ethnicity and the method of data extraction didn't affect the positive prognostic values of high Gal-9 expression. Moreover, high Gal-9 expression was significantly correlated with a smaller depth of invasion (TI/TII vs. TIII/TIV, OR = 2.80, 95% CI = 1.97-3.96, P < 0.001), an earlier histopathological stage (I/II vs. III/IV, OR = 3.00, 95% CI = 2.04-4.42, P < 0.001), negative lymph node metastasis (Presence vs. Absence, OR = 0.47, 95% CI = 0.25-0.89, P = 0.020) and negative distal tumor metastasis (Presence vs. Absence, OR = 13.85, 95% CI = 3.50-54.76, P < 0.001). Conclusion: Gal-9 expression indicates beneficial outcome in patients with solid tumors and is correlated with the pathogenesis of solid tumors. Gal-9 may serve as a prognostic biomarker and an emerging therapeutic target against solid tumors.