Correction: Detection of obstructive sleep apnea using Belun Sleep Platform wearable with neural network-based algorithm and its combined use with STOP-Bang questionnaire.

[This corrects the article DOI: 10.1371/journal.pone.0258040.].

A cyclic dipeptide for salinity stress alleviation and the trophic flexibility of endophyte provide insights into saltmarsh plant-microbe interactions.

In response to climate change, the nature of endophytes and their applications in sustainable agriculture have attracted the attention of academics and agro-industries. This work focused on the endophytic halophiles of the endangered Taiwanese salt marsh plant, Bolboschoenus planiculmis, and evaluated the functions of these isolates through in planta salinity stress alleviation assay using Arabidopsis. The endophytic strain Priestia megaterium BP01R2, which can promote plant growth and salinity tolerance, was further characterized through multi-omics approaches. The transcriptomics results suggested that BP01R2 could function by tuning hormone signal transduction, energy-producing metabolism, multiple stress responses, etc. In addition, the cyclodipeptide cyclo(L-Ala-Gly), which was identified by metabolomics analysis, was confirmed to contribute to the alleviation of salinity stress in stressed plants via exogenous supplementation. In this study, we used multi-omics approaches to investigate the genomics, metabolomics, and tropisms of endophytes, as well as the transcriptomics of plants in response to the endophyte. The results revealed the potential molecular mechanisms underlying the occurrence of biostimulant-based plant-endophyte symbioses with possible application in sustainable agriculture.

Microbiome signatures associated with clinical stages of gastric Cancer: whole metagenome shotgun sequencing study.

BACKGROUND: Gastric cancer is one of the global health concerns. A series of studies on the stomach have confirmed the role of the microbiome in shaping gastrointestinal diseases. Delineation of microbiome signatures to distinguish chronic gastritis from gastric cancer will provide a non-invasive preventative and treatment strategy. In this study, we performed whole metagenome shotgun sequencing of fecal samples to enhance the detection of rare bacterial species and increase genome sequence coverage. Additionally, we employed multiple bioinformatics approaches to investigate the potential targets of the microbiome as an indicator of differentiating gastric cancer from chronic gastritis. RESULTS: A total of 65 patients were enrolled, comprising 33 individuals with chronic gastritis and 32 with gastric cancer. Within each group, the chronic gastritis group was sub-grouped into intestinal metaplasia (n = 15) and non-intestinal metaplasia (n = 18); the gastric cancer group, early stage (stages 1 and 2, n = 13) and late stage (stages 3 and 4, n = 19) cancer. No significant differences in alpha and beta diversities were detected among the patient groups. However, in a two-group univariate comparison, higher Fusobacteria abundance was identified in phylum; Fusobacteria presented higher abundance in gastric cancer (LDA scored 4.27, q = 0.041 in LEfSe). Age and sex-adjusted MaAsLin and Random Forest variable of importance (VIMP) analysis in species provided meaningful features; Bacteria_caccae was the most contributing species toward gastric cancer and late-stage cancer (beta:2.43, se:0.891, p:0.008, VIMP score:2.543). In contrast, Bifidobacterium_longum significantly contributed to chronic gastritis (beta:-1.8, se:0.699, p:0.009, VIMP score:1.988). Age, sex, and BMI-adjusted MasAsLin on metabolic pathway analysis showed that GLCMANNANAUT-PWY degradation was higher in gastric cancer and one of the contributing species was Fusobacterium_varium. CONCLUSION: Microbiomes belonging to the pathogenic phylum Fusobacteria and species Bacteroides_caccae and Streptococcus_anginosus can be significant targets for monitoring the progression of gastric cancer. Whereas Bifidobacterium_longum and Lachnospiraceae_bacterium_5_1_63FAA might be protection biomarkers against gastric cancer.

Lung cancer cells detection by a photoelectrochemical MoS2 biosensing chip.

This research aims to explore the potential application of this approach in the production of biosensor chips. The biosensor chip is utilized for the identification and examination of early-stage lung cancer cells. The findings of the optical microscope were corroborated by the field emission scanning electron microscopy, which provided further evidence that the growth of MoS2 is uniform and that there is minimal disruption in the electrode, hence minimizing the likelihood of an open circuit creation. Furthermore, the bilayer structure of the produced MoS2 has been validated through the utilization of Raman spectroscopy. A research investigation was undertaken to measure the photoelectric current generated by three various types of clinical samples containing lung cancer cells, specifically the CL1, NCI-H460, and NCI-H520 cell lines. The findings from the empirical analysis indicate that the coefficient of determination (R-Square) for the linear regression model was approximately 98%. Furthermore, the integration of a double-layer MoS2 film resulted in a significant improvement of 38% in the photocurrent, as observed in the device's performance.

Comparison of therapeutic outcomes in esophageal squamous cell carcinoma following neoadjuvant chemoradiotherapy: A prospective observational cohort study.

BACKGROUND: Patients with locally advanced esophageal squamous cell carcinoma (ESCC) following neoadjuvant chemoradiotherapy (nCRT) may not always receive resection despite the possible achievement of a pathologic complete response (pCR) being associated with superior survival benefit. We aimed to compare outcomes among ESCC patients with or without pCR and those refusing surgery. METHODS: In total, 111 medically operable, non-cervical ESCC patients after the same protocol of nCRT (platinum/5-fluorouracil plus radiation 50Gy) were prospectively enrolled between 2011 and 2021. Eighty-three of them underwent esophagectomy comprising pCR (n = 32) and non-pCR (n = 51), while 28 operable patients declined surgery (refusal-of-surgery group). Predictors and survival data were analyzed. RESULTS: In terms of esophagectomy, 38.5% (32/83) patients achieved pCR. The pCR group exhibited better pretreatment performance status than the non-pCR group (adjusted odds ratio: 0.11, 95% confidence interval: 0.03-0.58; p = 0.01). Among pCR, non-pCR, and refusal-of-surgery groups, the 5-year overall survival (OS) rates were 56%, 29% and 50% (p = 0.08) and progression-free survival (PFS) rates were 52%, 28% and 36% (p = 0.07) respectively. The pCR group had significantly better OS and PFS than the non-PCR group (adjusted hazard ratio: 2.33 and 1.93, p = 0.02 and 0.049 respectively) but not the refusal-of-surgery group. CONCLUSION: Better pretreatment performance status is associated with higher chance of pCR. Consistent with previous studies, we found attainment of pCR confers the best OS and PFS. Suboptimal OS in the refusal-of-surgery group reflects some of them would have residual disease in addition to complete remission. Further studies are needed to identify prognostic factors of pCR to select candidates who could validly decline esophagectomy.

Complete genome sequence of Erythrobacteraceae bacterium WH01K, a strain isolated from corals (Acropora sp.) in Taiwan.

Here, we report the isolation and genome sequence of a coral-associated Erythrobacteraceae bacterium, strain WH01K. The complete assembly consists of one 2,745,896 bp circular chromosome and one 172,502 bp circular plasmid.

Characterization of the Pyrroloquinoline Quinone Producing Rhodopseudomonas palustris as a Plant Growth-Promoting Bacterium under Photoautotrophic and Photoheterotrophic Culture Conditions.

Rhodopseudomonas palustris is a purple non-sulfide bacterium (PNSB), and some strains have been proven to promote plant growth. However, the mechanism underlying the effect of these PNSBs remains limited. Based on genetic information, R. palustris possesses the ability to produce pyrroloquinoline quinone (PQQ). PQQ is known to play a crucial role in stimulating plant growth, facilitating phosphorous solubilization, and acting as a reactive oxygen species scavenger. However, it is still uncertain whether growth conditions influence R. palustris's production of PQQ and other characteristics. In the present study, it was found that R. palustris exhibited a higher expression of genes related to PQQ synthesis under autotrophic culture conditions as compared to acetate culture conditions. Moreover, similar patterns were observed for phosphorous solubilization and siderophore activity, both of which are recognized to contribute to plant-growth benefits. However, these PNSB culture conditions did not show differences in Arabidopsis growth experiments, indicating that there may be other factors influencing plant growth in addition to PQQ content. Furthermore, the endophytic bacterial strains isolated from Arabidopsis exhibited differences according to the PNSB culture conditions. These findings imply that, depending on the PNSB's growing conditions, it may interact with various soil bacteria and facilitate their infiltration into plants.

RepE: unsupervised representation learning for image enhancement in nonlinear optical microscopy.

We present an unsupervised learning denoising method, RepE (representation and enhancement), designed for nonlinear optical microscopy images, such as second harmonic generation (SHG) and two-photon fluorescence (TPEF). Addressing the challenge of effectively denoising images with various noise types, RepE employs an encoder network to learn noise-free representations and a reconstruction network to generate denoised images. It offers several key advantages, including its ability to (i) operate without restrictive statistic assumptions, (ii) eliminate the need for clean-noisy pairs, and (iii) requires only a few training images. Comparative evaluations on real-world SHG and TPEF images from esophageal cancer tissue slides (ESCC) demonstrate that our method outperforms existing techniques in image quality metrics. The proposed method provides a practical, robust solution for denoising nonlinear optical microscopy images, and it has the potential to be extended to other nonlinear optical microscopy modalities.

Preparing Well for Esophageal Endoscopic Detection Using a Hybrid Model and Transfer Learning.

Early detection of esophageal cancer through endoscopic imaging is pivotal for effective treatment. However, the intricacies of endoscopic diagnosis, contingent on the physician's expertise, pose challenges. Esophageal cancer features often manifest ambiguously, leading to potential confusions with other inflammatory esophageal conditions, thereby complicating diagnostic accuracy. In recent times, computer-aided diagnosis has emerged as a promising solution in medical imaging, particularly within the domain of endoscopy. Nonetheless, contemporary AI-based diagnostic models heavily rely on voluminous data sources, limiting their applicability, especially in scenarios with scarce datasets. To address this limitation, our study introduces novel data training strategies based on transfer learning, tailored to optimize performance with limited data. Additionally, we propose a hybrid model integrating EfficientNet and Vision Transformer networks to enhance prediction accuracy. Conducting rigorous evaluations on a carefully curated dataset comprising 1002 endoscopic images (comprising 650 white-light images and 352 narrow-band images), our model achieved exceptional outcomes. Our combined model achieved an accuracy of 96.32%, precision of 96.44%, recall of 95.70%, and f1-score of 96.04%, surpassing state-of-the-art models and individual components, substantiating its potential for precise medical image classification. The AI-based medical image prediction platform presents several advantageous characteristics, encompassing superior prediction accuracy, a compact model size, and adaptability to low-data scenarios. This research heralds a significant stride in the advancement of computer-aided endoscopic imaging for improved esophageal cancer diagnosis.

Elafin as a Prognostic Marker in Esophageal Squamous Cell Carcinoma: A Pilot Study Using Three-Dimensional Imaging and Genomic Profiling.

Esophageal cancers are globally the sixth deadliest malignancy, with limited curative options. The association of high serum elafin levels, a molecule produced by epithelial cells, with esophageal squamous cell carcinoma (ESCC) risk is established, but its link to poor ESCC prognosis remains unclear. To explore this question, we first used three-dimensional confocal imaging to create a model of the spatial distribution of elafin inside locoregional ESCC tissues. Then, after analyzing data obtained from whole-genome microarrays for ESCC cell lines and their more invasive sublines, we performed in vitro experiments using RNA sequencing to identify possible elafin-related pathways. Three-dimensional tissue imaging showed elafin distributed as an interweaved-like fibrous structure in the stroma of tissue obtained from patients with high serum levels of elafin and poorer prognoses. By contrast, the signal was confined inside or around the tumor nest in patients who had lower serum levels and better survival. The analysis of a TCGA dataset revealed that higher levels of elafin mRNA in stage I-IIIA ESCC patients were associated with shorter survival. The in vitro studies revealed that elafin promoted ESCC cell proliferation, migration, and invasion via the epithelial-mesenchymal transition pathway. Thus, elafin inhibition could potentially be used therapeutically to improve survival in patients with locoregional ESCC.

Belun Ring (Belun Sleep System BLS-100): Deep learning-facilitated wearable enables obstructive sleep apnea detection, apnea severity categorization, and sleep stage classification in patients suspected of obstructive sleep apnea.

GOAL AND AIMS: Our objective was to evaluate the performance of Belun Ring with second-generation deep learning algorithms in obstructive sleep apnea (OSA) detection, OSA severity categorization, and sleep stage classification. FOCUS TECHNOLOGY: Belun Ring with second-generation deep learning algorithms REFERENCE TECHNOLOGY: In-lab polysomnography (PSG) SAMPLE: Eighty-four subjects (M: F = 1:1) referred for an overnight sleep study were eligible. Of these, 26% had PSG-AHI<5; 24% had PSG-AHI 5-15; 23% had PSG-AHI 15-30; 27% had PSG-AHI ≥ 30. DESIGN: Rigorous performance evaluation by comparing Belun Ring to concurrent in-lab PSG using the 4% rule. CORE ANALYTICS: Pearson's correlation coefficient, Student's paired t-test, diagnostic accuracy, sensitivity, specificity, positive predictive value, negative predictive value, positive likelihood ratio, negative likelihood ratio, Cohen's kappa coefficient (kappa), Bland-Altman plots with bias and limits of agreement, receiver operating characteristics curves with area under the curve, and confusion matrix. CORE OUTCOMES: The accuracy, sensitivity, specificity, and kappa in categorizing AHI ≥ 5 were 0.85, 0.92, 0.64, and 0.58, respectively. The accuracy, sensitivity, specificity, and Kappa in categorizing AHI ≥ 15 were 0.89, 0.91, 0.88, and 0.79, respectively. The accuracy, sensitivity, specificity, and Kappa in categorizing AHI ≥ 30 were 0.91, 0.83, 0.93, and 0.76, respectively. BSP2 also achieved an accuracy of 0.88 in detecting wake, 0.82 in detecting NREM, and 0.90 in detecting REM sleep. CORE CONCLUSION: Belun Ring with second-generation algorithms detected OSA with good accuracy and demonstrated a moderate-to-substantial agreement in categorizing OSA severity and classifying sleep stages.

Effect of esophageal cancer screening on mortality among patients with oral cancer and second primary esophageal cancer in Taiwan.

OBJECTIVE: Oral and esophageal cancer are the fourth and fifth leading causes of cancer deaths among men in Taiwan. Despite a good prognosis for oral cavity cancer patients, survival is worse for those who develop second primary esophageal cancer. There remains no consensus regarding early prevention of potential second primary esophageal cancer in patients with oral cavity cancer. Our study aimed to compare 5-year mortality between endoscopically screened and non-screened patients with oral cavity cancer and second primary esophageal cancer. MATERIALS AND METHODS: This study identified patients with incident oral cavity cancer and second primary esophageal cancer during 2004 and 2013 using the Taiwan Cancer Registry and National Health Insurance Research Database. We compared 5-year mortality from the second primary esophageal cancer diagnosis date between screened and non-screened groups of patients with oral cavity cancer and second primary esophageal cancer. RESULTS: A total of 217 screened and 305 non-screened oral cavity cancer patients with second primary esophageal cancer were studied. Endoscopic screening significantly improved early detection of second primary esophageal cancer (adjusted odds ratio: 0.34, 95 % confidence interval [CI]: 0.23-0.49) and reduced all-cause mortality (adjusted hazard ratio: 0.80; 95 % CI: 0.66-0.98). CONCLUSIONS: Oral cavity cancer patients with second primary esophageal cancer may have worse overall survival than those without. Early detection of second primary esophageal cancer is a crucial mediator between endoscopic screening and mortality. Endoscopic screening after the diagnosis of incident oral cavity cancer significantly increased early detection and reduced all-cause mortality.

Real-World Evidence of Effectiveness and Safety of Vedolizumab for Inflammatory Bowel Disease in Taiwan: A Prospective Nationwide Registry (VIOLET) Study.

BACKGROUND: This nationwide prospective registry study investigated the real-world effectiveness, safety, and persistence of vedolizumab (VDZ) in inflammatory bowel disease (IBD) patients in Taiwan. Disease relapse rates after VDZ discontinuation due to reimbursement restriction were assessed. METHODS: Data were collected prospectively (January 2018 to May 2020) from the Taiwan Society of IBD registry. RESULTS: Overall, 274 patients (147 ulcerative colitis [UC] patients, 127 Crohn's disease [CD] patients) were included. Among them, 70.7% with UC and 50.4% with CD were biologic-naïve. At 1 year, 76.0%, 58.0%, 35.0%, and 62.2% of UC patients and 57.1%, 71.4%, 33.3%, and 30.0% of CD patients achieved clinical response, clinical remission, steroid-free remission, and mucosal healing, respectively. All patients underwent hepatitis B and tuberculosis screening before initiating biologics, and prophylaxis was recommended when necessary. One hepatitis B carrier, without antiviral prophylaxis due to economic barriers, had hepatitis B reactivation during steroid tapering and increasing azathioprine dosage, which was controlled with an antiviral agent. No tuberculosis reactivation was noted. At 12 months, non-reimbursement-related treatment persistence rates were 94.0% and 82.5% in UC and CD patients, respectively. Moreover, 75.3% of IBD patients discontinued VDZ due to mandatory drug holiday. Relapse rates after VDZ discontinuation at 6 and 12 months were 36.7% and 64.3% in CD patients and 42.9% and 52.4% in UC patients, respectively. CONCLUSIONS: The findings demonstrated VDZ effectiveness in IBD patients in Taiwan, with high treatment persistence rates and favorable safety profiles. A substantial IBD relapse rate was observed in patients who had mandatory drug holiday.

Prevention and management of esophageal stricture after esophageal ESD: 10 years of experience in a single medical center.

BACKGROUND/PURPOSE: Endoscopic submucosal dissection (ESD) is a minimally invasive endoscopic procedure to deal with local early esophageal neoplasm, although post-ESD esophageal stricture is a major delayed complication of esophageal ESD greatly influencing the patient's quality of life. This retrospective study was conducted to analyze the esophageal stricture after esophageal ESD while determining further treatment and outcome of stricture management. METHODS: From 2009 to 2021, we reviewed all patients who underwent ESD for esophageal squamous cell neoplasia in Kaohsiung Medical University Hospital. RESULTS: Totally, 133 patients with esophageal squamous cell neoplasm were enrolled. Among these 133 patients, 108 patients had lesions less than three-fourths in circumferential and 25 patients had lesions in excess of three-fourths circumferentially. Totally, 18 patients (13.5%) had symptomatic esophageal stricture and 17 patients (94.4%) had stricture existing over the upper or middle esophagus. The most important risk factor of esophageal stricture was the extent of resection of esophageal circumference, especially whole circumferential resection. Although oral steroid prevention medication was prescribed for high-risk patients with lesions more than three-fourth circumferential ESD, the stricture rate was still up to 40% (10/25). Endoscopic/luminal management with balloon dilation, radial incision and self-bougination achieved 83% (15/18) symptom remission. Three patients received surgical intervention with esophagectomy or jejunostomy. CONCLUSION: Esophageal stricture is frequently encountered in esophageal ESD. Aggressive preventative strategy is warranted for the high-risk group. Endoscopy/luminal management has high efficacy for post-ESD esophageal stricture.

Bark-stripping Behavior of Formosan Sambar (Rusa unicolor swinhoii) at Tataka, Yushan National Park in Taiwan.

The bark-stripping behavior of Formosan sambar, Rusa unicolor swinhoii, has become conspicuous in recent years in the Tataka area of Yushan National Park in Taiwan and a cause for concern to visitors and ecologists. We conducted a monthly survey of 537 tagged trees of 21 species and monitored the abundance of sambar using camera traps from October 2018 to January 2021, aiming to interpret possible causes of the bark-stripping behavior in Tataka. We also used a generalized linear model to evaluate factors that may affect the probability of a tree having its bark stripped. Both our observations and the model predictions showed that sambar has a strong preference for bark of Pinus armandii, Photinia niitakayamensis, and Salix fulvopubeseens and for trees with diameter at breast height around 14 cm. Bark stripping mainly occurred between July and October when major forage was most abundant. However, sambar's need for bark surged in May when sambar abundance was moderate and decreased in October when sambar abundance was high. The seasonality of bark stripping was synchronized with the peak periods of antler development, fawn nursing, and spread of gastrointestinal parasites, suggesting that sambar strips bark to ingest minerals for their physiological needs and/or to acquire plant secondary metabolites to repel gastrointestinal parasites. Sambar abundance alone was not sufficient to predict the overall intensity of bark stripping. Rather, the product of sambar abundance and the necessity index (average wound size) were strongly correlated with the overall bark-stripping intensity. Therefore, controlling sambar abundance is essential but it alone may not be the optimal strategy for controlling bark stripping. A combination of population control and relaxing of sambar's parasite loading and/or physiological needs for minerals is an important strategy to control the overall bark stripping. Future research could use the necessity index to investigate the synchronicity of the bark-stripping behavior, deer's physiological state, environmental factors and phenology to better understand the cause of this behavior.

Higher pre-treatment skin sympathetic nerve activity and elevated resting heart rate after chemoradiotherapy predict worse esophageal cancer outcomes.

BACKGROUND: Chemoradiotherapy (CRT), which might affect the autonomic system, is the mainstay therapy for advanced esophageal squamous cell carcinoma (ESCC). Autonomic dysfunction has been found to possibly lead to cancer mortality in those with elevated resting heart rates (RHR). Skin sympathetic nerve activity (SKNA) is a new method of stimulating electrical signals in skin to evaluate autonomic function from sympathetic tone. In this study, we investigated the association between changes in RHR and autonomic function and ESCC mortality. METHODS: Thirty-nine stage II-IV ESCC patients receiving CRT between March 2019 and November 2020 were prospectively enrolled and carefully selected, followed up and received the same meticulous supportive care. Serial RHR was recorded every two weeks from before CRT to eight weeks after CRT and average SKNA were recorded before and four weeks after CRT. All-cause mortality was defined as primary outcome. RESULTS: We found the RHR of ESCC patients to be significantly elevated and peaking at four weeks after CRT (p < 0.001) and then to gradually decrease. Those with an elevated RHR above the cutoff level (18 beat-per-minute) at eight weeks after CRT had worse overall survival. In addition, those with higher baseline sympathetic tone (average SKNA ≥ 0.86 µV) also had poor outcome. CONCLUSIONS: Increased pre-treatment sympathetic tone and elevated RHR after CRT are alarm signs of poor ESCC outcome. Further exploration of the mechanisms underlying these associations could potentially lead to intervention strategies for reducing mortality. TRIAL REGISTRATION: This study is registered with ClinicalTrials.gov, identifier: NCT03243448.

Intelligent Identification of Early Esophageal Cancer by Band-Selective Hyperspectral Imaging.

In this study, the combination of hyperspectral imaging (HSI) technology and band selection was coupled with color reproduction. The white-light images (WLIs) were simulated as narrow-band endoscopic images (NBIs). As a result, the blood vessel features in the endoscopic image became more noticeable, and the prediction performance was improved. In addition, a single-shot multi-box detector model for predicting the stage and location of esophageal cancer was developed to evaluate the results. A total of 1780 esophageal cancer images, including 845 WLIs and 935 NBIs, were used in this study. The images were divided into three stages based on the pathological features of esophageal cancer: normal, dysplasia, and squamous cell carcinoma. The results showed that the mean average precision (mAP) reached 80% in WLIs, 85% in NBIs, and 84% in HSI images. This study's results showed that HSI has more spectral features than white-light imagery, and it improves accuracy by about 5% and matches the results of NBI predictions.

Substance use and esophageal neuroendocrine neoplasm: A case-control study.

Esophageal neuroendocrine neoplasms (NEN) are extremely rare and little is known about their risk factors. To identify the potential risk factors, we evaluated whether the history of substance use, including alcohol, tobacco and areca nut consumption was associated with esophageal NEN. Forty-one esophageal NEN patients diagnosed between 2002 and 2019 from 17 hospital in Taiwan were enrolled as the cases. Controls were participants who received complete esophagogastroduodenoscopy in an endoscopic cohort and 123 eligible controls were matched to 41 cases (3:1) on age and gender. Alcohol drinking and cigarette smoking significantly increased the risk of esophageal NEN, with about a fourfold risk increase in alcohol drinkers as well as cigarette smokers. Moreover, use of cigarette smoking and alcohol consumption in combination demonstrated the highest risk of esophageal NEN with the risk increasing up to 20 times compared with non-users. Alcohol consumption and cigarette smoking significantly increase risk of esophageal NEN and both alcohol and cigarette users had the highest risk.

Change in PD-L1 and CD8 Expression after Chemoradiotherapy for Esophageal Squamous Cell Carcinoma.

Esophageal cancer has a dismal prognosis with a five-year survival rate below 20%. Recently, immunotherapy has become a new standard of care for this cancer; therefore, we aimed to examine the programmed death ligand 1 (PD-L1) expression in esophageal squamous cell carcinoma (ESCC) tissues before and after concurrent chemoradiation therapy (CCRT). In total, 64 patients with pre-CCRT ESCC specimens were examined for PD-L1 expression, with twenty-three of them having a partial response (N = 23) or stable disease (N = 1) after CCRT while post-CCRT tissue specimens were collected. All of them were tested for PD-L1 and 15 of them also had CD8 expression in the paired ESCC samples. The prevalence of PD-L1 positivity was 54.7% and we found a trend of decreased PD-L1 expression and increased CD8 positive signal after CCRT. High pre-CCRT PD-L1 H-score in tumors was related to poor prognosis (adjusted hazard ratio = 2.81; p = 0.02), although CD8 signal was not associated with overall survival either in pre- or post-CCRT treatment. In conclusion, we found that PD-L1 expression tended to decrease in CCRT responders and our result supports PD-L1 expression in tumor as a predictor of ESCC prognosis.