Regulating Lewis Acidic Sites of 1T-2H MoS2 Catalysts for Solar-Driven Photothermal Catalytic H2 Production from Lignocellulosic Biomass.

Solar-driven photothermal catalytic H2 production from lignocellulosic biomass was achieved by using 1T-2H MoS2 with tunable Lewis acidic sites as catalysts in an alkaline aqueous solution, in which the number of Lewis acidic sites derived from the exposed Mo edges of MoS2 was successfully regulated by both the formation of an edge-terminated 1T-2H phase structure and tunable layer number. Owing to the abundant Lewis acidic sites for the oxygenolysis of lignocellulosic biomass, the 1T-2H MoS2 catalyst shows high photothermal catalytic lignocellulosic biomass-to-H2 transformation performance in polar wood chips, bamboo, rice straw corncobs, and rice hull aqueous solutions, and the highest H2 generation rate and solar-to-H2 (STH) efficiency respectively achieves 3661 µmol·h-1·g-1 and 0.18% in the polar wood chip system under 300 W Xe lamp illumination. This study provides a sustainable and cost-effective method for the direct transformation of renewable lignocellulosic biomass to H2 fuel driven by solar energy.

Defect Engineering of Ultrasmall TiO2 Nanoparticles Enables Highly Efficient Photocatalysts for Solar H2 Production from Woody Biomass.

The conversion of woody biomass to H2 through photocatalysis provides a sustainable strategy to generate renewable hydrogen fuel but was limited by the slow decomposition rate of woody biomass. Here, we fabricate ultrasmall TiO2 nanoparticles with tunable concentration of oxygen vacancy defects (VO-TiO2) as highly efficient photocatalysts for photocatalytic conversion of woody biomass to H2. Owing to the positive role of oxygen vacancy in reducing energy barrier for the generation of •OH which was the critical species to oxidize woody biomass, the obtained VO-TiO2 achieves rapid photocatalytic conversion of α-cellulose and poplar wood chip to H2 in the presence of Pt nanoclusters as the cocatalyst. As expected, the highest H2 generation rate in α-cellulose and poplar wood chip system respectively achieve 1146 and 59 µmol h-1 g-1, and an apparent quantum yield of 4.89% at 380 nm was obtained in α-cellulose aqueous solution.

A comprehensive comparison on cell-type composition inference for spatial transcriptomics data.

Spatial transcriptomics (ST) technologies allow researchers to examine transcriptional profiles along with maintained positional information. Such spatially resolved transcriptional characterization of intact tissue samples provides an integrated view of gene expression in its natural spatial and functional context. However, high-throughput sequencing-based ST technologies cannot yet reach single cell resolution. Thus, similar to bulk RNA-seq data, gene expression data at ST spot-level reflect transcriptional profiles of multiple cells and entail the inference of cell-type composition within each ST spot for valid and powerful subsequent analyses. Realizing the critical importance of cell-type decomposition, multiple groups have developed ST deconvolution methods. The aim of this work is to review state-of-the-art methods for ST deconvolution, comparing their strengths and weaknesses. In particular, we construct ST spots from single-cell level ST data to assess the performance of 10 methods, with either ideal reference or non-ideal reference. Furthermore, we examine the performance of these methods on spot- and bead-level ST data by comparing estimated cell-type proportions to carefully matched single-cell ST data. In comparing the performance on various tissues and technological platforms, we concluded that RCTD and stereoscope achieve more robust and accurate inferences.

A SAR Ship Detection Method Based on Adversarial Training.

SAR (synthetic aperture radar) ship detection is a hot topic due to the breadth of its application. However, limited by the volume of the SAR image, the generalization ability of the detector is low, which makes it difficult to adapt to new scenes. Although many data augmentation methods-for example, clipping, pasting, and mixing-are used, the accuracy is improved little. In order to solve this problem, the adversarial training is used for data generation in this paper. Perturbation is added to the SAR image to generate new samples for training, and it can make the detector learn more abundant features and promote the robustness of the detector. By separating batch normalization between clean samples and disturbed images, the performance degradation on clean samples is avoided. By simultaneously perturbing and selecting large losses of classification and location, it can keep the detector adaptable to more confrontational samples. The optimization efficiency and results are improved through K-step average perturbation and one-step gradient descent. The experiments on different detectors show that the proposed method achieves 8%, 10%, and 17% AP (Average Precision) improvement on the SSDD, SAR-Ship-Dataset, and AIR-SARShip, compared to the traditional data augmentation methods.

Two-Point Localization Algorithm of a Magnetic Target Based on Tensor Geometric Invariant.

Currently, magnetic gradient tensor-based localization methods face challenges such as significant errors in geomagnetic field estimation, susceptibility to local optima in optimization algorithms, and inefficient performance. In addressing these issues, this article propose a two-point localization method under the constraint of overlaying geometric invariants. This method initially establishes the relationship between the target position and the magnetic gradient tensor by substituting an intermediate variable for the magnetic moment. Exploiting the property of the eigenvector corresponding to the minimum absolute eigenvalue being perpendicular to the target position vector, this constraint is superimposed to formulate a nonlinear system of equations of the target's position. In the process of determining the target position, the Nara method is employed for obtaining the initial values, followed by the utilization of the Levenberg-Marquardt algorithm to derive a precise solution. Experimental validation through both simulations and experiments confirms the effectiveness of the proposed method. The results demonstrate its capability to overcome the challenges faced by a single-point localization method in the presence of some errors in geomagnetic field estimation. In comparison to traditional two-point localization methods, the proposed method exhibits the highest precision. The localization outcomes under different noise conditions underscore the robust noise resistance and resilience of the proposed method.

An Aeromagnetic Compensation Strategy for Large UAVs.

Aeromagnetic surveys are widely used in geological exploration, mineral resource assessment, environmental monitoring, military reconnaissance, and other areas. It is necessary to perform magnetic compensation for interference in these fields. In recent years, large unmanned aerial vehicles (UAVs) have been more suitable for magnetic detection missions because of the greater loads they can carry. This article proposes some methods for the magnetic compensation of large multiload UAVs. Because of the interference of the large platform and instrument noise, the standard deviations (stds) of the compensation data used in this paper are larger. At the beginning of this article, using the traditional T-L model, we avoid the shortcomings of the anti-magnetic interference ability of triaxial magnetic gate magnetometers. The direction cosine information is obtained by using an inertial navigation system, the global positioning system, and a triaxial magnetic gate magnetometer. Then, we increase the amplitude of the maneuvers in the compensation process; this reduces the multicollinearity problems in the compensation matrix to a certain extent, but it also results in greater magnetic field interference. Lastly, we employ the method of Lasso regularization Newton iteration (LRNM). Compared to the traditional methods of least squares (LS) and singular value decomposition (SVD), LRNM provides improvements of 34% and 27%, respectively. In summary, this series of schemes can be used to perform effective compensation for large multi-load UAVs and improve the actual use of large UAVs, making them more accurate in the measurement of aeromagnetic survey data.

Squalene Epoxidase: Its Regulations and Links with Cancers.

Squalene epoxidase (SQLE) is a key enzyme in the mevalonate-cholesterol pathway that plays a critical role in cellular physiological processes. It converts squalene to 2,3-epoxysqualene and catalyzes the first oxygenation step in the pathway. Recently, intensive efforts have been made to extend the current knowledge of SQLE in cancers through functional and mechanistic studies. However, the underlying mechanisms and the role of SQLE in cancers have not been fully elucidated yet. In this review, we retrospected current knowledge of SQLE as a rate-limiting enzyme in the mevalonate-cholesterol pathway, while shedding light on its potential as a diagnostic and prognostic marker, and revealed its therapeutic values in cancers. We showed that SQLE is regulated at different levels and is involved in the crosstalk with iron-dependent cell death. Particularly, we systemically reviewed the research findings on the role of SQLE in different cancers. Finally, we discussed the therapeutic implications of SQLE inhibitors and summarized their potential clinical values. Overall, this review discussed the multifaceted mechanisms that involve SQLE to present a vivid panorama of SQLE in cancers.

Transcriptome Sequencing Unveils a Molecular-Stratification-Predicting Prognosis of Sarcoma Associated with Lipid Metabolism.

Sarcomas are heterogeneous connective tissue malignancies that have been historically categorized into soft tissue and bone cancers. Although multimodal therapies are implemented, many sarcoma subtypes are still difficult to treat. Lipids play vital roles in cellular activities; however, ectopic levels of lipid metabolites have an impact on tumor recurrence, metastasis, and drug resistance. Thus, precision therapies targeting lipid metabolism in sarcoma need to be explored. In this study, we performed a comprehensive analysis of molecular stratification based on lipid metabolism-associated genes (LMAGs) using both public datasets and the data of patients in our cohort and constructed a novel prognostic model consisting of squalene epoxidase (SQLE) and tumor necrosis factor (TNF). We first integrated information on gene expression profile and survival outcomes to divide TCGA sarcoma patients into high- and low-risk subgroups and further revealed the prognosis value of the metabolic signature and immune infiltration of patients in both groups, thus proposing various therapeutic recommendations for sarcoma. We observed that the low-risk sarcoma patients in the TCGA-SARC cohort were characterized by high proportions of immune cells and increased expression of immune checkpoint genes. Subsequently, this lipid metabolic signature was validated in four external independent sarcoma datasets including the CHCAMS cohort. Notably, SQLE, a rate-limiting enzyme in cholesterol biosynthesis, was identified as a potential therapeutic target for sarcoma. Knockdown of SQLE substantially inhibited cell proliferation and colony formation while promoting the apoptosis of sarcoma cells. Terbinafine, an inhibitor of SQLE, displayed similar tumor suppression capacity in vitro. The prognostic predictive model and the potential drug target SQLE might serve as valuable hints for further in-depth biological, diagnostic, and therapeutic exploration of sarcoma.

Impact of Lymph Node Dissection on Survival After Neoadjuvant Chemoradiotherapy for Locally Advanced Esophageal Squamous Cell Carcinoma: From the Results of NEOCRTEC5010, a Randomized Multicenter Study.

OBJECTIVE: To clarify whether systemic LND influences the safety of surgery and the survival of patients with locally advanced esophageal squamous cell carcinoma (ESCC) after neoadjuvant chemoradiotherapy (nCRT). SUMMARY OF BACKGROUND DATA: Prognostic impact of systemic lymphadenectomy during surgery after nCRT for ESCC is still uncertain and requires clarification. METHODS: This is a secondary analysis of NEOCRTEC5010 trial which compared nCRT followed by surgery versus surgery alone for locally advanced ESCC. Relationship between number of LND and perioperative, recurrence, and survival outcomes were analyzed in the nCRT group. RESULTS: Three-year overall survival was significantly better in the nCRT group than the S group (75.2% vs 61.5%; P = 0.011). In the nCRT group, greater number of LND was associated with significantly better overall survival (hazard ratio, 0.358; P < 0.001) and disease-free survival (hazard ratio, 0.415; P = 0.001), but without any negative impact on postoperative complications. Less LND (<20 vs ≥20) was significantly associated with increased local recurrence (18.8% vs 5.2%, P = 0.004) and total recurrence rates (41.2% vs 25.8%, P = 0.027). Compared to patients with persistent nodal disease, significantly better survival was seen in patients with complete response and with LND ≥20, but not in those with LND <20. CONCLUSIONS: Systemic LND does not increase surgical risks after nCRT in ESCC patients. And it is associated with better survival and local diseasecontrol. Therefore, systemic lymphadenectomy should still be considered as an integrated part of surgery after nCRT for ESCC.

Lymph Node Ratio Improves Prediction of Overall Survival in Esophageal Cancer Patients Receiving Neoadjuvant Chemoradiotherapy: A National Cancer Database Analysis.

OBJECTIVE: This study aimed to propose a revised ypN (r-ypN) classification based on lymph node ratio (LNR) and to examine its prognostic value in postneoadjuvant esophageal cancer. BACKGROUND: A new postneoadjuvant pathologic (ypTNM) staging classification has been introduced for esophageal cancer. However, the ypN classification currently defined by the number of positive lymph nodes is influenced by the extent of lymphadenectomy. METHODS: Data on 7195 esophageal cancer patients receiving neoadjuvant chemoradiation were extracted from the National Cancer Database (NCDB). Four r-ypN stages were defined by 3 LNR thresholds (0%, 10%, and 20% using X-tile software). A revised ypTNM (r-ypTNM) classification was developed by solely changing N categories. Kaplan-Meier method and Cox proportional hazards models were used for survival analyses. Akaike information criterion (AIC) and Harrell's concordance index ( C -index) were used to compare the predictive performance of the current and the revised classification. External validation was performed using an independent cohort from the NEOCRTEC5010 clinical trial. RESULTS: Both ypN ( P <0.001) and r-ypN ( P <0.001) were independent prognostic factors of overall survival (OS) for esophageal cancer patients. Kaplan-Meier curves demonstrated a better discrimination with r-ypN than ypN categories. Within each ypN category (except ypN3), OS was significantly different comparing r-ypN strata; however, there were no differences between ypN strata within each r-ypN category (except r-ypN3). r-ypN (AIC: 60752 vs 60782; C -index: 0.591 vs 0.587) and r-ypTNM (AIC: 60623 vs 60628; C -index: 0.613 vs 0.610) showed better predictive performance than the current staging system, with a lower AIC (better calibration) and higher C -index (improved discrimination). This advantage was also confirmed by external validation using the NEOCRTEC5010 cohort. CONCLUSIONS: LNR showed better performance than ypN in predicting OS of esophageal cancer patients after neoadjuvant chemoradiation and may be an improvement on the current staging system.

High expression of PPFIA1 in human esophageal squamous cell carcinoma correlates with tumor metastasis and poor prognosis.

BACKGROUND: PTPRF interacting protein alpha 1 (PPFIA1) is reportedly related to the occurrence and progression of several kinds of malignancies. However, its role in esophageal squamous cell carcinoma (ESCC) is unclear. This current study investigated the prognostic significance and biological functions of PPFIA1 in ESCC. METHODS: Oncomine, Gene Expression Profiling Interactive Analysis (GEPIA), and Gene Expression Omnibus (GEO) were used to investigate PPFIA1 expression in esophageal cancer. The relationship between PPFIA1 expression and clinicopathological characteristics and patient survival was evaluated in GSE53625 dataset, and verified in the cDNA array based on qRT-PCR and tissue microarray (TMA) dataset based on immunohistochemistry. The impact of PPFIA1 on the migration and invasion of cancer cells were investigated by wound-healing and transwell assays, respectively. RESULTS: The expression of PPFIA1 was obviously increased in ESCC tissues versus adjacent esophageal tissues according to online database analyses (all P < 0.05). High PPFIA1 expression was closely related to several clinicopathological characteristics, including tumor location, histological grade, tumor invasion depth, lymph node metastasis, and tumor-node-metastasis (TNM) stage. High PPFIA1 expression was related to worse outcomes and was identified as an independent prognostic factor of overall survival in ESCC patients (GSE53625 dataset, P = 0.019; cDNA array dataset, P < 0.001; TMA dataset, P = 0.039). Downregulation of PPFIA1 expression can significantly reduce the migration and invasion ability of ESCC cells. CONCLUSION: PPFIA1 is related to the migration and invasion of ESCC cells, and can be used as a potential biomarker to evaluate the prognosis of ESCC patients.

Flexible Film Bulk Acoustic Resonator Based on Low-Porosity ß-Phase P(VDF-TrFE) Film for Human Vital Signs Monitoring.

P(VDF-TrFE) is a promising material for flexible acoustic devices owing to its good piezoelectric performance and excellent stretchability. However, the high density of internal pores and large surface roughness of the conventional P(VDF-TrFE) results in a high propagation attenuation for acoustic waves, which limits its use in flexible acoustic devices. In this paper, a novel method based on two-step annealing is proposed to effectively remove the pores inside the P(VDF-TrFE) film and reduce its surface roughness. The obtained P(VDF-TrFE) film possesses excellent characteristics, including a high breakdown strength of >300 kV/mm, a high-purity ß-phase content of more than 80%, and high piezoelectric coefficients (d33) of 42 pm/V. Based on the low-porosity ß-phase P(VDF-TrFE) film, we fabricated flexible film bulk acoustic resonators (FBARs) which exhibit high sharp resonance peaks. The pressure sensor was made by sandwiching the FBARs with two PDMS microneedle patches. Heartbeat and respiration rate monitoring were achieved using the pressure sensor. This work demonstrates the feasibility of high-performance flexible piezoelectric acoustic resonators based on low-porosity P(VDF-TrFE) films, which could see wider applications in the wearable sensors for both physical and chemical sensing.

CXCR4 promotes the growth and metastasis of esophageal squamous cell carcinoma as a critical downstream mediator of HIF-1α.

C-X-C motif chemokine receptor 4 (CXCR4) belongs to the CXC chemokine receptor family, which mediates the metastasis of tumor cells and promotes the malignant development of cancers. However, its biological role and regulatory mechanism in esophageal squamous cell carcinoma (ESCC) remain unclear. Here, we found that CXCR4 expression was associated with lymph node metastasis and a poor prognosis. In vitro and in vivo studies demonstrated that CXCR4 overexpression promoted ESCC cell proliferation, migration, invasion, and survival, whereas silencing CXCR4 induced the opposite effects. Mechanically, HIF-1α transcriptionally regulates CXCR4 expression by binding to a hypoxia response element in its promoter. HIF-1α-induced ESCC cell migration and invasion were reversed by CXCR4 knockdown or treatment with MSX-122, a CXCR4 antagonist. Collectively, these data revealed that the HIF-1α/CXCR4 axis plays key roles in ESCC growth and metastasis and indicated CXCR4 as a potential target for ESCC treatment.

Novel immunotherapeutic drugs for the treatment of lung cancer.

PURPOSE OF REVIEW: Cancer cells evade immune surveillance partly due to the immunosuppressive features of the tumor microenvironment (TME). Currently approved immuno-oncology drugs for the treatment of lung cancer are aimed to inhibit immune checkpoints, such as programmed death protein-1 (PD-1), PD ligand-1 (PD-L1) and cytotoxic T lymphocyte-associated antigen 4. Despite these, researchers are currently racing to create the optimal cancer immunotherapy treatments. RECENT FINDINGS: Novel immunotherapeutic drugs mainly act on activated immune cells and exert their therapeutic effects by enhancing antitumor responses. In this article, we review new therapies for the treatment of lung cancer that enhance T cell priming, remove coinhibitory signals, supply costimulatory signals and condition the TME. SUMMARY: As more immunotherapeutic targets are in studies, designing multimodal strategies to provide greater efficacy with lower toxicity will be necessary.

Comparison of clinicopathological features and prognostic significance between synchronous multiple primary and solitary esophageal squamous cell carcinomas.

BACKGROUND: Synchronous multiple primary esophageal squamous cell carcinoma (S-MPESCC) refers to more than one primary esophageal carcinoma detected in a solitary patient at the time of initial presentation. The purpose of this study was to evaluate the clinicopathological features, appropriate surgical approaches and long-term survival in patients with S-MPESCC by comparing with those with solitary esophageal squamous cell carcinoma (SESCC). METHODS: In total, 567 patients with esophageal squamous cell carcinoma surgically resected in Tianjin Medical University Cancer Institute and Hospital from January 2012 to December 2018 were screened for retrospective analysis (50 in the S-MPESCC group and 516 in the SESCC group). RESULTS: No significant difference was observed in terms of other characteristics except total alcohol consumption (P = 0.029). S-MPESCC had higher lymph node rate than SESCC (62.0% and 44.1%, respectively; P = 0.015) especially in upper mediastinal (32.0% and 18.6%, respectively; P = 0.023) and abdominal (38.0% and 22.8%, respectively; P = 0.017) regions. The survival was not different between the two groups, and the 5-year survival rates of S-MPESCC and SESCC were 46.2% and 50.8%, respectively (P = 0.507). But for patients with pT3-4 cancers, the survival in S-MPESCC was worse than that in SESCC (P = 0.033). In the multivariate analysis, pT stage of primary cancer was an important independent predictor of prognosis in patients with S-MPESCC (hazard ratio [HR], 3.968; 95% confidence interval [CI], 1.031 to 15.268; P = 0.045). CONCLUSIONS: S-MPESCC was significantly different from SESCC in terms of clinicopathological characteristics include alcohol intake and pattern of lymphatic metastasis. Furthermore, S-MPESCC showed worse long-term survival than SESCC with increasing depth of primary cancer infiltration.

Safety and efficacy of neoadjuvant treatment with immune checkpoint inhibitors in esophageal cancer: real-world multicenter retrospective study in China.

Immune checkpoint inhibitors (ICIs) have shown a powerful benefit in the neoadjuvant therapy for esophageal cancer, but evidence for its safety and efficacy is limited and may not reflect real-world practice. We retrospectively reviewed the database of treatment-naive patients from 15 esophageal cancer centers in China who received ICIs as neoadjuvant treatment for locally advanced esophageal cancer from May 2019 to December 2020. The primary endpoints were rate and severity of treatment-related adverse events (TRAEs) and immune-related adverse events (irAEs). Secondary endpoints included pathologically complete response (pCR) rate, R0 resection rate, mortality and morbidity. Among the 370 patients, 311 (84.1%) were male with a median age of 63 (range: 30-81) years and stage III or IVa disease accounted for 84.1% of these patients. A total of 299 (80.8%) patients were treated with ICIs and chemotherapy. TRAEs were observed in 199 (53.8%) patients with low severity (grade 1-2, 39.2%; grade 3-4, 13.2%; grade 5, 1.4%), and irAEs occurred in 24.3% of patients and were mostly of grade 1-2 severity (21.1%). A total of 341 (92.2%) patients had received surgery and R0 resection was achieved in 333 (97.7%) patients. The local pCR rate in primary tumor was 34.6%, including 25.8% of ypT0N0 and 8.8% of ypT0N+. The rate of postoperative complications was 41.4% and grade 3 or higher complications occurred in 35 (10.3%) patients. No death was observed within 30 days after surgery, and three patients (0.9%) died within 90 days postoperatively. This study shows acceptable toxicity of neoadjuvant immunotherapy for locally advanced esophageal cancer in real-world data. Long-term survival results are pending for further investigations.

A Water-Soluble Highly Oxidizing Cobalt Molecular Catalyst Designed for Bioinspired Water Oxidation.

Herein, we present a stable water-soluble cobalt complex supported by a dianionic 2,2'-([2,2'-bipyridine]-6,6'-diyl)bis(propan-2-ol) ligand scaffold, which is a rare example of a high-oxidation species, as demonstrated by structural, spectroscopic and theoretical data. Electron paramagnetic resonance (EPR) spectroscopy and magnetic susceptibility measurements revealed that the CoIV center of the mononuclear complex in the solid state resides in the high spin state (sextet, S=5/2). The complex can effectively catalyze water oxidation via a single-site water nucleophilic attack pathway with an overpotential of only 360 mV in a phosphate buffer with a pH of 6. The key intermediate toward water oxidation was speculated based on theoretical calculations and was identified by in situ spectroelectrochemical experiments. The results are important regarding the accessibility of high-oxidation state metal species in synthetic models for achieving robust and reactive oxidation catalysis.

Role of BCLAF-1 in PD-L1 stabilization in response to ionizing irradiation.

Programmed cell death ligand 1 (PD-L1) is a major immunosuppressive checkpoint protein expressed by tumor cells to subvert anticancer immunity. Recent studies have shown that ionizing radiation (IR) upregulates the expression of PD-L1 in tumor cells. However, whether an IR-induced DNA damage response (DDR) directly regulates PD-L1 expression and the functional significance of its upregulation are not fully understood. Here, we show that IR-induced upregulation of PD-L1 expression proceeds through both transcriptional and post-translational mechanisms. Upregulated PD-L1 was predominantly present on the cell membrane, resulting in T-cell apoptosis in a co-culture system. Using mass spectrometry, we identified PD-L1 interacting proteins and found that BCLAF1 (Bcl2 associated transcription factor 1) is an important regulator of PD-L1 in response to IR. BCLAF1 depletion decreased PD-L1 expression by promoting the ubiquitination of PD-L1. In addition, we show that CMTM6 is upregulated in response to IR and participates in BCLAF1-dependent PD-L1 upregulation. Finally, we demonstrated that the ATM/BCLAF1/PD-L1 axis regulated PD-L1 stabilization in response to IR. Together, our findings reveal a novel regulatory mechanism of PD-L1 expression in the DDR.

Prognostic Impact of Postoperative Lymph Node Metastases After Neoadjuvant Chemoradiotherapy for Locally Advanced Squamous Cell Carcinoma of Esophagus: From the Results of NEOCRTEC5010, a Randomized Multicenter Study.

OBJECTIVE: To determine the prognostic impact of pathologic lymph node (LN) status and investigate risk factors of recurrence in esophageal squamous cell carcinoma (ESCC) patients with pathologic complete response (pCR) after neoadjuvant chemoradiotherapy (NCRT). SUMMARY BACKGROUND DATA: There are no large-scale prospective study data regarding ypN status and recurrence after pCR in ESCC patients receiving NCRT. METHODS: The NEOCRTEC5010 trial was a prospective multicenter trial that compared the survival and safety of NCRT plus surgery (S) with S in patients with locally advanced ESCC. The relationships between survival and cN, pN, and ypN status were assessed. Potential prognostic factors in patients with ypN+ and pCR were identified. RESULTS: A total of 389 ESCC patients (NCRT: 182; S: 207) were included. Patients with pN+ in the S group and ypN+ in the NCRT group had decreased overall survival (OS) and disease-free survival (DFS) compared with pN0 and ypN0 patients, respectively. Partial response at the primary site [hazard ratio (HR), 2.09] and stable disease in the LNs (HR, 3.26) were independent risk factors for lower DFS, but not OS. For patients with pCR, the recurrence rate was 13.9%. Patients with distant LN metastasis had a median OS and DFS of 16.1 months and 14.4 months, respectively. Failure to achieve the median total dose of chemotherapy was a significant risk factor of recurrence and metastasis after pCR (HR, 44.27). CONCLUSIONS: Persistent pathologic LN metastasis after NCRT is a strong poor prognostic factor in ESCC. Additionally, pCR does not guarantee a cure; patients with pCR should undergo an active strategy of surveillance and adjuvant therapy.

Safety and Feasibility of Radiotherapy Plus Camrelizumab for Locally Advanced Esophageal Squamous Cell Carcinoma.

LESSONS LEARNED: Radiotherapy plus anti-PD-1 antibody as first-line therapy is safe and feasible in locally advanced esophageal squamous cell carcinoma (ESCC). Tumor-infiltrating and peripheral lymphocytes were associated with patient survival. Further studies combining chemoradiotherapy with immunotherapy in locally advanced ESCC and exploration of predictive biomarkers are warranted. BACKGROUND: We conducted a phase Ib study of radiotherapy plus programmed cell death protein 1 (PD-1) monoclonal antibody camrelizumab as first-line treatment for locally advanced esophageal squamous cell carcinoma (ESCC). METHODS: We planned to enroll 20 patients with newly diagnosed locally advanced ESCC. Patients received 60 Gy radiation (2.0 Gy/fraction, 5 fractions/week), with camrelizumab (200 mg every 2 weeks) starting with radiotherapy and continuing for 32 weeks (i.e., for 16 cycles). The primary endpoints were safety and feasibility. Secondary endpoints were rates of radiologic and pathologic response, overall survival (OS), and progression-free survival (PFS). Study data were collected by the week during radiotherapy (RT), every month during the maintenance camrelizumab treatment, and every 3 months after treatment. Tumor microenvironment and peripheral blood were monitored at baseline and after 40 Gy radiation for association with efficacy. RESULTS: Twenty patients were enrolled and received treatment. One patient (patient 10) was excluded upon discovery of a second tumor in the bladder during treatment, leaving 19 patients for analysis. Toxicity was deemed tolerable. Fourteen (74%) patients had assessed objective response. At a median follow-up time of 31.0 months (95% confidence interval [CI], 27.0-35.1), median OS and PFS times were 16.7 months (95% CI, 5.9-27.9) and 11.7 months (95% CI, 0-30.3), respectively. OS and PFS rates at 24 months were 31.6% and 35.5%, respectively. Kaplan-Meier analysis revealed associations between the following factors and OS/PFS: tumor programmed cell death ligand 1 (PD-L1) expression, PD-1+ CD8+ , PD-1+ CD4+ T cells, and PD-L1+ CD4+ T cells; peripheral blood CD4+ , CD8+ , CD4+ regulatory T cells, and their subsets. CONCLUSION: Radiotherapy plus camrelizumab had manageable toxicity and antitumor efficacy for locally advanced ESCC. Several biomarkers were associated with clinical benefit and deserve further study.