[Research on Yaowang Temple based on local chronicles of Henan]

By looking up the local chronicles of the China Digital Chronicles Database and the China Chronicles Database, it was found that there are 450 kinds of local chronicles in Henan, of which 45 contain Yaowang Temple.According to these 45 kinds of local Chronicles, it can be seen that a total of 35 Yaowang temples were built in 25 counties (cities) of Henan, mostly distributed in the west, north and south of Henan, especially in the west. Among them, eight Yaowang temples recorded the construction time, from the Ming Dynasty to the Republic of China, but most of them were built in the Qing Dynasty. There are records of the builders of the 8 Yaowang Temples, most of whom were local government officials. Qi Bo, Hua Tuo, Bian Que, Sun Simiao and Wei Cizang were recorded as Yaowang in three places, and Sun Simiao was enshrined in two of them. The architectural pattern of Yaowang Temple varies greatly from three courtyards to natural caves. Local chronicles contain all kinds of legends and stories about the Yaowang, which is a concrete embodiment of the belief in Yaowang. The belief in Yaowang not only carries people's thirst for health, but also prays for good weather.

Measurement of CP Violation in B^{0}→ψ(→ℓ^{+}ℓ^{-})K_{S}^{0}(→π^{+}π^{-}) Decays

A measurement of time-dependent CP violation in the decays of B^{0} and B[over ¯]^{0} mesons to the final states J/ψ(→μ^{+}μ^{-})K_{S}^{0}, ψ(2S)(→μ^{+}μ^{-})K_{S}^{0} and J/ψ(→e^{+}e^{-})K_{S}^{0} with K_{S}^{0}→π^{+}π^{-} is presented. The data correspond to an integrated luminosity of 6  fb^{-1} collected at a center-of-mass energy of sqrt[s]=13  TeV with the LHCb detector. The CP-violation parameters are measured to be S_{ψK_{S}^{0}}=0.717±0.013(stat)±0.008(syst) and C_{ψK_{S}^{0}}=0.008±0.012(stat)±0.003(syst). This measurement of S_{ψK_{S}^{0}} represents the most precise single measurement of the CKM angle β to date and is more precise than the current world average. In addition, measurements of the CP-violation parameters of the individual channels are reported and a combination with the LHCb Run 1 measurements is performed.

Population Genetic Structure of the Rubber Tree Powdery Mildew Pathogen (Erysiphe quercicola) from China

In order to manage agricultural pathogens, it is crucial to understand the population structure underlying epidemics. Rubber tree powdery mildew, caused by Erysiphe quercicola, is a serious threat to rubber plantations worldwide, especially in subtropical environments including all rubber tree-growing regions in China. However, the population structure of the pathogen is uncertain. In this study, 16 polymorphic microsatellite markers were used to genotype powdery mildew samples from the main rubber tree-growing regions including Yunnan (YN), Hainan (HN), western Guangdong (WG), and eastern Guangdong (EG). YN had higher genotypic diversity (Simpson's indices), genotypic evenness, Nei's gene diversity, allelic richness, and private allelic richness than the other regions. Cluster analysis, discriminant analysis of principal components, pairwise divergence, and shared multilocus genotype analyses all showed that YN differed significantly from the other regions. The genetic differentiation was small among the other three regions (HN, WG, and EG). Analysis of molecular variance indicated that the variability among regions accounted for 22.37% of the total variability. Genetic differentiation was significantly positively correlated (Rxy = 0.772, P = 0.001) with geographic distance. Linkage equilibrium analysis suggested possible occurrence of sexual recombination although asexual reproduction predominates in E. quercicola. The results suggested that although significant genetic differentiation of E. quercicola occurred between YN and the other regions, pathogen populations from the other three regions lacked genetic differentiation.

Efficacy and Safety of Nerve Block for Postoperative Analgesia in Patients Undergoing Breast Cosmetic Surgery: A Systematic Review and Meta-analysis of Randomized Controlled Trials

BACKGROUND

To evaluate the postoperative analgesic efficacy and safety of nerve block (NB) in patients undergoing breast surgery for cosmetic purposes.

METHODS

PubMed, Web of Science, Embase and Cochrane Libraries were searched from inception to September 2022, to identify all eligible randomized controlled trials (RCTs). Continuous data are presented as mean difference (MD) with 95% confidence intervals (CI), whereas dichotomous data are provided as odds ratios (OR) with 95% CI. This meta-analysis was performed in RevMan 5.4.

RESULTS

A total of 10 RCTs with 565 patients were meta-analyzed. Compared to the control group, the pain score of the NB group was significantly lower at postoperative 2, 3-4, 6-8, 12-16 and 24 h. Opioid consumption in the first postoperative 24 h was significantly lower in the NB group (MD = - 9.02, 95% CI - 14.29 to - 3.75, P < 0.05), I2 = 95%). In addition, the NB group showed a prolonged time to first postoperative analgesic requirement (MD = 43.15, 95% CI 4.74-81.56, P < 0.05, I2 = 96%), decreased incidence of additional postoperative analgesia (OR 0.14, 95% CI 0.07-0.28, P < 0.05, I2 = 0%) and reduced incidence of postoperative nausea or vomiting (OR 0.33; 95% CI 0.22-0.48; P < 0.05; I2 = 0%). There was no significant difference in operation duration between the two groups.

CONCLUSIONS

Nerve block is an effective and safe option for postoperative analgesia after breast cosmetic surgery.

LEVEL OF EVIDENCE II

This journal requires that authors assign a level of evidence to each article. For a full description of these Evidence-Based Medicine ratings, please refer to the Table of Contents or the online Instructions to Authors www.springer.com/00266 .

Machine-learning-based performance comparison of two-dimensional (2D) and three-dimensional (3D) CT radiomics features for intracerebral haemorrhage expansion

AIM

To investigate the value of non-contrast CT (NCCT)-based two-dimensional (2D) radiomics features in predicting haematoma expansion (HE) after spontaneous intracerebral haemorrhage (ICH) and compare its predictive ability with the three-dimensional (3D) signature.

MATERIALS AND METHODS

Three hundred and seven ICH patients who received baseline NCCT within 6 h of ictus from two stroke centres were analysed retrospectively. 2D and 3D radiomics features were extracted in the manner of one-to-one correspondence. The 2D and 3D models were generated by four different machine-learning algorithms (regularised L1 logistic regression, decision tree, support vector machine and AdaBoost), and the receiver operating characteristic (ROC) curve was used to compare their predictive performance. A robustness analysis was performed according to baseline haematoma volume.

RESULTS

Each feature type of 2D and 3D modalities used for subsequent analyses had excellent consistency (mean ICC >0.9). Among the different machine-learning algorithms, pairwise comparison showed no significant difference in both the training (mean area under the ROC curve [AUC] 0.858 versus 0.802, all p>0.05) and validation datasets (mean AUC 0.725 versus 0.678, all p>0.05), and the 10-fold cross-validation evaluation yielded similar results. The AUCs of the 2D and 3D models were comparable either in the binary or tertile volume analysis (all p>0.5).

CONCLUSION

NCCT-derived 2D radiomics features exhibited acceptable and similar performance to the 3D features in predicting HE, and this comparability seemed unaffected by initial haematoma volume. The 2D signature may be preferred in future HE-related radiomic works given its compatibility with emergency condition of ICH.

Role of Cisplatin in Inducing Acute Kidney Injury and Pyroptosis in Mice via the Exosome miR-122/ELAVL1 Regulatory Axis

Although cisplatin is an effective chemotherapy drug for the treatment of various cancers, its clinical use is limited due to its side effects, especially nephrotoxicity. Unfortunately, acute kidney injury (AKI) caused by cisplatin remains one of the main challenges in effective cancer treatment. Evidence increasingly suggests that renal inflammation and pyroptotic inflammatory cell death of renal tubular epithelial cells (RTECs) mainly determine the progression and outcome of cisplatin-induced AKI. However, it is not clear how cisplatin regulates the pyroptosis of RTECs cells in AKI. The current study aimed to determine the regulation mechanism of AKI induced by cisplatin. We used cisplatin to induce AKI in vivo. We performed H&E staining of mouse kidney tissue sections and evaluated serological indicators of kidney injury (including blood urea nitrogen (BUN), serum creatinine, and tumor necrosis factor-alpha (TNF-alpha)). We used immunohistochemistry and western blot to detect the important substrate protein gasdermin D (GSDMD) and key target caspase-1 of pyroptosis, respectively. Cisplatin induced mouse AKI and RTECs pyroptosis. HK2 cell-derived exosomes treated with cisplatin influenced pyroptosis of the surrounding HK2 cells. Cisplatin-treated HK2 cells exosome-derived miR-122 regulated pyroptosis in the surrounding cells. Exosome-derived miR-122 affected cisplatin-induced AKI and HK2 cells pyroptosis by regulating the expression of embryonic lethal abnormal vision (ELAVL1). These results suggest that exosome miR-122 inhibited pyroptosis and AKI by targeting ELAVL1 under cisplatin treatment, and this offers a potential target for the treatment of AKI.

[Prospective cohort study of the association of cardiovascular disease with triglyceride glucose index and triglyceride glucose-related indicators]

Objective: To investigate the association of cardiovascular diseases (CVD) with triglyceride glucose index (TyG) and TyG-related indicators in Uyghur populations of The Xinjiang Production and Construction Corps. Methods: Based on the cohort of the Uygur population of The Xinjiang Production and Construction Corps, 11 833 study subjects were included. The Kaplan-Meier method was used to estimate the cumulative incidence of CVD in each quartile of TyG and TyG-related indicators. Cox proportional hazards regression model was used to evaluate the relationship between TyG and CVD, TyG-related indicators and CVD. Framingham CVD risk score model (Framingham model) was used to evaluate whether the addition of TyG and TyG-related indicators could improve the predictive ability of the model. The potential mediating role of the TyG in the association between obesity and CVD was examined through mediation effect analysis. Results: The average age of the subjects was (37.00±13.67) years-old, and 51.0% were male. The median follow-up time was 5.67 years, with 1 288 CVD events. The cumulative incidence of CVD increased with the increase of TyG and TyG-related indicators quartiles, and compared with the Q1 group, the risk of CVD in the Q4 group of TyG, TyG-BMI, and TyG-WHtR increased by 20% (HR=1.20, 95%CI: 1.01-1.42), 77% (HR=1.77, 95%CI: 1.46-2.16) and 68% (HR=1.68, 95%CI: 1.36-2.09), respectively. After adding TyG, TyG-BMI, and TyG-WHtR to the Framingham model, respectively, the model's area under the curve, net reclassification improvement, and integrated discrimination improvement were improved. In the association between BMI, WHtR, and CVD, the proportion of mediating effects mediated by the TyG index was 10.55% and 11.50%. Conclusions: Elevated levels of TyG and TyG-related indicators were strongly associated with the risk of CVD in the Uyghur population of The Xinjiang Production and Construction Corps, with TyG-BMI being the most closely correlated with CVD. Early monitoring of TyG-BMI helps identify high-risk groups of CVD.

Integrative Analysis of Metabolome and Transcriptome Provides Insights into the Mechanism of Flower Induction in Pineapple (Ananas comosus (L.) Merr.) by Ethephon

Exogenous ethylene is commonly utilized to initiate flower induction in pineapple (Ananas comosus (L.) Merr.). However, the molecular mechanisms and metabolic changes involved are not well understood. In this study, we explored the genetic network and metabolic shifts in the 'Comte de Paris' pineapple variety during ethylene-induced flowering. This was achieved through an integrative analysis of metabolome and transcriptome profiles at vegetative shoot apexes (0 d after ethephon treatment named BL_0d), the stage of bract primordia (8 d after ethephon treatment named BL_8d), stage of flower primordia (18 d after ethephon treatment named BL_18d), and the stage of stopped floret differentiation (34 d after ethephon treatment named BL_34d). We isolated and identified 804 metabolites in the pineapple shoot apex and inflorescence, categorized into 24 classes. Notably, 29, 31, and 46 metabolites showed significant changes from BL_0d to BL_8d, BL_8d to BL_18d, and BL_18d to BL_34d, respectively. A marked decrease in indole was observed, suggesting its role as a characteristic metabolite during flower induction. Transcriptomic analysis revealed 956, 1768, and 4483 differentially expressed genes (DEGs) for BL_0d vs. BL_8d, BL_8d vs. BL_18d, and BL_18d vs. BL_34d, respectively. These DEGs were significantly enriched in carbohydrate metabolism and hormone signaling pathways, indicating their potential involvement in flower induction. Integrating metabolomic and transcriptomic data, we identified several candidate genes, such as Agamous-Like9 (AGL9), Ethylene Insensitive 3-like (ETIL3), Apetala2 (AP2), AP2-like ethylene-responsive transcription factor ANT (ANT), and Sucrose synthase 2 (SS2), that play potentially crucial roles in ethylene-induced flower induction in pineapple. We also established a regulatory network for pineapple flower induction, correlating metabolites and DEGs, based on the Arabidopsis thaliana pathway as a reference. Overall, our findings offer a deeper understanding of the metabolomic and molecular mechanisms driving pineapple flowering.

[Distribution characteristics of emerging and reemerging Oncomelania hupensis in China from 2015 to 2021]

OBJECTIVE

To analyze the distribution characteristics of emerging and reemerging Oncomelania hupensis snails after the criteria for transmission control of schistosomiasis were achieved in China, so as to provide insights into assessment of schistosomiasis transmission risk and formulation of snail control strategies during the elimination phase.

METHODS

O. hupensis survey data in China from 2015 to 2021 were collected from the National Schistosomiasis Pevention and Control Information Management System, and the distribution characteristics of emerging and reemerging O. hupensis snails were descriptively analyzed.

RESULTS

Emerging and reemerging O. hupensis snails were identified in China each year from 2015 to 2021, with relatively larger areas with emerging and reemerging O. hupensis snail habitats in 2016 and 2021, and relatively higher numbers of counties (districts) where emerging and reemerging O. hupensis snails were detected in 2016 and 2021. A total of 4 586.30 hm2 of emerging O. hupensis snail habitats were found in 10 schistosomiasis-endemic provinces of China (except Fujian and Yunnan Provinces) from 2015 to 2021, with 96.80% in Anhui, Hunan and Hubei provinces, where marshland and lake endemic foci were predominant. A total of 21 023.90 hm2 of reemerging O. hupensis snail habitats were found in 12 schistosomiasis-endemic provinces of China from 2015 to 2021, with 97.67% in six provinces of Hubei, Sichuan, Jiangxi, Jiangsu, Yunnan and Anhui, where marshland and lake and hilly endemic regions were predominant. Emerging snail habitats were found in 15.08% of all schistosomiasisendemic counties (districts) in China from 2015 to 2021, and 78.75% of all emerging snail habitats were identified in 11 schistosomiasis-endemic counties (districts), with the largest area of emerging snail habitats found in Lixian County, Hunan Province (645.00 hm2). Reemerging snail habitats were found in 47.67% of all schistosomiasis-endemic counties (districts) in China from 2015 to 2021, and 43.29% of all reemerging snail habitats were identified in 11 schistosomiasis-endemic counties (districts), with the largest area of reemerging snail habitats found in Weishan Li and Hui Autonomous County of Hunan Province (1 579.70 hm2).

CONCLUSIONS

Emerging and reemerging O. hupensis snails were identified in China each year from 2015 to 2021, with much larger areas of reemerging snail habitats than emerging snail habitats, and larger numbers of schistosomiasis-endemic provinces and counties (districts) with reemerging snails were found that those of provinces and counties (districts) with emerging snails. Specific snail control interventions are required tailored to the causes of emerging and reemerging snail habitats. Both emergence and reemergence of O. hupensis snails should be paid attention to in marshland and lake endemic areas, and Guangxi Zhuang Autonomous Region, Shanghai Municipality and Zhejiang Province where schistosomiasis had been eliminated, and reemergence of O. hupensis snails should be given a high priority in hilly areas. In addition, monitoring of O. hupensis snails should be reinforced in snail-free areas after flooding.

[Molluscicidal effect of spraying 5% niclosamide ethanolamine salt granules with drones against Oncomelania hupensis in hilly regions]

OBJECTIVE

To establish a snail control approach for spraying chemicals with drones against Oncomelania hupensis in complex snail habitats in hilly regions, and to evaluate its molluscicidal effect.

METHODS

The protocol for evaluating the activity of spraying chemical molluscicides with drones against O. hupensis snails was formulated based on expert consultation and literature review. In August 2022, a pretest was conducted in a hillside field environment (12 000 m2) north of Dafengji Village, Dacang Township, Weishan County, Yunnan Province, which was assigned into four groups, of no less than 3 000 m2 in each group. In Group A, environmental cleaning was not conducted and 5% niclosamide ethanolamine salt granules were sprayed with drones at a dose of 40 g/m2, and in Group B, environmental cleaning was performed, followed by 5% niclosamide ethanolamine salt granules sprayed with drones at a dose of 40 g/m2, while in Group C, environmental cleaning was not conducted and 5% niclosamide ethanolamine salt granules were sprayed with knapsack sprayers at a dose of 40 g/m2, and in Group D, environmental cleaning was performed, followed by 5% niclosamide ethanolamine salt granules sprayed with knapsack sprayers at a dose of 40 g/m2. Then, each group was equally divided into six sections according to land area, with Section 1 for baseline surveys and sections 2 to 6 for snail surveys after chemical treatment. Snail surveys were conducted prior to chemical treatment and 1, 3, 5, 7 days post-treatment, and the mortality and corrected mortality of snails, density of living snails and costs of molluscicidal treatment were calculated in each group.

RESULTS

The mortality and corrected mortality of snails were 69.49%, 69.09%, 53.57% and 83.48%, and 68.58%, 68.17%, 52.19% and 82.99% in groups A, B, C and D 14 days post-treatment, and the density of living snails reduced by 58.40%, 63.94%, 68.91% and 83.25% 14 days post-treatment relative to pre-treatment in four groups, respectively. The median concentrations of chemical molluscicides were 37.08, 35.42, 42.50 g/m2 and 56.25 g/m2 in groups A, B, C and D, and the gross costs of chemical treatment were 0.93, 1.50, 0.46 Yuan per m2 and 1.03 Yuan per m2 in groups A, B, C and D, respectively.

CONCLUSIONS

The molluscicidal effect of spraying 5% niclosamide ethanolamine salt granules with drones against O. hupensis snails is superior to manual chemical treatment without environmental cleaning, and chemical treatment with drones and manual chemical treatment show comparable molluscicidal effects following environmental cleaning in hilly regions. The cost of chemical treatment with drones is slightly higher than manual chemical treatment regardless of environmental cleaning. Spraying 5% niclosamide ethanolamine salt granules with drones is recommended in complex settings with difficulty in environmental cleaning to improve the molluscicidal activity and efficiency against O. hupensis snails.

Effects of lysolecithins on performance, egg quality, blood profiles and liver histopathology in late-phase laying hens

1. This study investigated the effects of lysolecithins (LL) on performance, egg quality, blood profiles, relative organ weight and liver histopathology in laying hens.2. A total of 480 healthy 65-week-old Lohmann laying hens were randomly allocated into four treatments in a 2 × 2 factorial arrangement design with two levels of energy (AMEn, 11.08 MJ/kg and 12.94 MJ/kg) and two levels of LL (0 and 0.05%).3. Birds fed high energy diets had lower (P < 0.05) average daily intake and feed conversion rate during weeks 0-4, 5-8 and 0-8, but higher (P < 0.05) average egg weight (AEW) during trial weeks 0-4. There was an interaction in (P < 0.05) AEW during trial weeks 0-14 and 0-8 for energy and LL. The high energy diets increased yolk colour at the end of weeks 2 and 4, while addition of LL increased albumen height at the end of week 2. There was an interaction (P < 0.05) in yolk colour between energy and LL at the end of week 2. There was an interaction (P < 0.05) in serum superoxide dismutase and LDL-C throughout the experiment.4. The high energy diets increased (P < 0.05) the relative weight of abdominal fat compared with low energy diets. The high energy diets increased (P < 0.05) liver ether extract content and liver pathological injury score compared with low energy diets at the end of week 8, while the addition of LL decreased (P < 0.05) liver pathological injury score.5. The supplementation of LL in high energy diets could alleviate some negative effects on liver injury in late laying hens.

Observation of New Baryons in the Ξ_{b}^{-}π^{+}π^{-} and Ξ_{b}^{0}π^{+}π^{-} Systems

The first observation and study of two new baryonic structures in the final state Ξ_{b}^{0}π^{+}π^{-} and the confirmation of the Ξ_{b}(6100)^{-} state in the Ξ_{b}^{-}π^{+}π^{-} decay mode are reported using proton-proton collision data collected by the LHCb experiment, corresponding to an integrated luminosity of 9  fb^{-1}. In addition, the properties of the known Ξ_{b}^{*0}, Ξ_{b}^{'-} and Ξ_{b}^{*-} resonances are measured with improved precision. The new decay mode of the Ξ_{b}^{0} baryon to the Ξ_{c}^{+} π^{-} π^{+} π^{-} final state is observed and exploited for the first time in these measurements.

Precision Measurement of CP Violation in the Penguin-Mediated Decay B_{s}^{0}→ϕϕ

A flavor-tagged time-dependent angular analysis of the decay B_{s}^{0}→ϕϕ is performed using pp collision data collected by the LHCb experiment at the center-of-mass energy of 13 TeV, corresponding to an integrated luminosity of 6  fb^{-1}. The CP-violating phase and direct CP-violation parameter are measured to be ϕ_{s}^{ss[over ¯]s}=-0.042±0.075±0.009  rad and |λ|=1.004±0.030±0.009, respectively, assuming the same values for all polarization states of the ϕϕ system. In these results, the first uncertainties are statistical and the second systematic. These parameters are also determined separately for each polarization state, showing no evidence for polarization dependence. The results are combined with previous LHCb measurements using pp collisions at center-of-mass energies of 7 and 8 TeV, yielding ϕ_{s}^{ss[over ¯]s}=-0.074±0.069  rad and |λ|=1.009±0.030. This is the most precise study of time-dependent CP violation in a penguin-dominated B meson decay. The results are consistent with CP symmetry and with the standard model predictions.

Measurement of the Λ_{b}^{0}→Λ(1520)μ^{+}μ^{-} Differential Branching Fraction

The branching fraction of the rare decay Λ_{b}^{0}→Λ(1520)μ^{+}μ^{-} is measured for the first time, in the squared dimuon mass intervals q^{2}, excluding the J/ψ and ψ(2S) regions. The data sample analyzed was collected by the LHCb experiment at center-of-mass energies of 7, 8, and 13 TeV, corresponding to a total integrated luminosity of 9  fb^{-1}. The result in the highest q^{2} interval, q^{2}>15.0  GeV^{2}/c^{4}, where theoretical predictions have the smallest model dependence, agrees with the predictions.

Pathway Mutations are Associated with Clinical Outcomes in Localized Pancreatic Cancer Treated with Neoadjuvant Chemoradiation Followed by Surgery

PURPOSE/OBJECTIVE(S)

The purpose of this study was to determine if mutations in biological pathways are associated with clinical outcomes in patients with localized pancreatic cancer who undergo neoadjuvant chemoradiation followed by surgical resection.

MATERIALS/METHODS

Patients treated with neoadjuvant chemoradiation followed by oncologic resection from 2015-2019 who also underwent next generation sequencing (NGS) of the primary tumor were included in this retrospective analysis. NGS was done using either Foundation One (n = 20), in-house Solid Tumor Panel (n = 121), or Tempus XT (n = 1). Genes were included in pathway analysis if at least one patient harbored a mutation in the gene. Pathways were defined from the Molecular Signatures Database Hallmark, KEGG, and Reactome gene sets. A pathway was deemed mutated if at least one gene within the pathway was mutated. Univariable Cox regression was performed to determine the association between pathway mutation status and overall survival (OS) as well as progression-free survival (PFS).

RESULTS

In total, 142 patients met criteria for study inclusion. For pathway analysis, 329 genes met inclusion criteria. Patients were typically treated with neoadjuvant chemotherapy (either 5-fluorouracil-based or gemcitabine-based) followed by radiation. Patients received SBRT (n = 104, most commonly 33 Gy in 5 fractions) or conventionally fractionated radiation (n = 38, most commonly 50.4 Gy in 28 fractions). For clinical variables, worse OS was significantly associated with T stage (p = 0.036), N stage (p = 0.044), and lymphovascular invasion (LVI, p = 0.011); worse PFS was significantly associated with T stage (p = 0.0008), N stage (p = 0.022), LVI (p = 0.026), and conventional RT (p = 0.007). Mutations in major pathways were associated with worse OS, notably hedgehog signaling (p = 0.001), chromatin modifying enzymes (p = 0.002), WNT/beta-catenin signaling (p = 0.005), mismatch repair (0.006), E2F targets (p = 0.008), FLT signaling (p = 0.012), VEGF signaling (0.025), innate immune system (p = 0.026), and NOTCH signaling (p = 0.029). Pathway mutations associated with worse PFS included mismatch repair (p = 0.007) and hedgehog signaling (p = 0.013).

CONCLUSION

For pancreatic cancer patients that undergo neoadjuvant chemoradiation followed by oncologic resection of the primary tumor, mutations in key biological pathways are associated with OS and PFS. Characterizing the importance of common pathway mutations may become increasingly valuable to help categorize less commonly mutated genes assayed by NGS.

Long-Term Outcomes of Stereotactic Body Radiation Therapy with or without PD-1 Inhibitors in Metastatic Nasopharyngeal Carcinoma

PURPOSE/OBJECTIVE(S)

Data on the benefit of stereotactic body radiation therapy (SBRT) in patients with metastatic nasopharyngeal carcinoma (mNPC) remain limited. The purpose of this study is to assess the outcomes of mNPC treated with SBRT and programmed death-ligand 1 (PD-1) inhibitors.

MATERIALS/METHODS

We reviewed all SBRT performed in patients with mNPC during the period of 2013-2022 in our institution. Treatments carried out with ablative intent in stereotactic conditions with dose/fraction ≥ 5 Gy were considered. The local control (LC), overall survival (OS), and progression-free survival (PFS) rates were calculated using Kaplan-Meier analyses. Risk factors were assessed through univariate and multivariate analysis by Cox regression.

RESULTS

A total of 55 patients with 77 metastatic lesions treated with SBRT were analyzed. All of these patients received systemic treatment, either chemotherapy alone (n = 34) or chemotherapy with PD-1 inhibitors (n = 21). 28 patients (50.9%) had ≤ five metastatic lesions in the metastatic sites. The number of irradiated tumors ranged from 1 to 6, and 36 patients (65.5%) with 47 lesions received a physical dose ≥48 Gy (BED≥75Gy, α/β = 10). After a median follow-up of 43.6 months (range 1.9-115.3 months), 20 patients (36.4%) experienced local recurrence after completion of SBRT for metastatic lesions. The 1- and 3-year LC rates were 76.9% and 61.9%, respectively. The 1- and 3-year OS rates were 84.4% and 58.2%, and the 1- and 3-year PFS rates were 50.0% and 29.9%, respectively. Patients with ≤ 2 metastatic lesions (n = 24, 43.6%) had significant better LC (HR 0.11, 95% CI 0.036-0.313, p<0.001), OS (HR 0.24, 95% CI 0.08-0.74, p = 0.013) and PFS (HR 0.16, 95% CI 0.063-0.42, p<0.001) than patients with>2 metastatic lesions. Total dose≥48 Gy was also found to be a significant prognostic factor for better OS (HR 0.44, 95% CI 0.18-1.09, p = 0.044) and PFS (HR 0.42, 95% CI 0.17-0.88, p = 0.005), but not LC (HR 0.84, 95% CI 0.36-1.97, p = 0.678). In addition, adding PD-1 inhibitors to SBRT showed a significant benefit, improving the 2-year LC to 87.7% vs. 50.6% for SBRT (HR 0.27, 95% CI 0.18 - 0.41, p = 0.002). No patients experienced grade 4 or 5 toxicity.

CONCLUSION

SBRT is an effective and safe treatment option for mNPC patients. Adding PD-1 inhibitors to SBRT offers a benefit in LC. Additional studies exploring the clinical benefit and predictive biomarkers of combined SBRT and PD-1 directed immunotherapy are warranted.

Analysis of Artificial Intelligence-Based Automated Phenotyping of Coronary Artery Disease Diagnoses for Patients who Received Radiotherapy for Thoracic Malignancies

PURPOSE/OBJECTIVE(S)

Coronary artery disease (CAD) is a critical risk factor and toxicity endpoint in thoracic radiation oncology. The recent advent of artificial intelligence (AI) algorithms - specifically natural language processing (NLP) - allows for automated extraction of this data from electronic health records (EHR) more efficiently and at scale. We report on the application and performance characteristics of an EHR-based automated phenotyping tool to a cohort of lung cancer patients receiving radiation therapy (RT).

MATERIALS/METHODS

We applied to this radiation oncology use-case an AI-based disease phenotyping tool developed by other researchers for phenotyping CAD from the EHR. The CAD model was trained on 191,187 patients with at least one ICD code and validated with 158 gold-standard patients (Sensitivity: 73%, Specificity: 93%, PPV: 90%). NLP disease definitions were determined by UMLS and were employed with ICD codes through PheNorm classification method to create the phenotype algorithm (Yue et al., J Am Med Inform Assoc. 2018 Jan 1; 25(1):54-60). We applied the CAD phenotyping tool to two independent cohorts of RT treated lung cancer patients: 1) an annotated set of 677 patients who received RT from 1998 to 2014 and were studied in prior cardiac toxicity research; 2) an independent set of 209 patients who received RT from 1998 to 2018 and were annotated separately.

RESULTS

Only 7.7% of the AI training population had a CAD diagnosis code, compared to 32.5% and 65.0% in the 677 patient and 209 patient cohorts, respectively. Validation of the AI predicted CAD is shown in the table below. Performance on the 209 patient cohort best matched the AI training set. The 677-patient cohort differed from the 209-patient cohort in that its CAD definition included patients with radiographic coronary artery calcifications, which accounted for the difference in cohort sensitivities, F-scores, and NPVs.

CONCLUSION

The AI calculated CAD was somewhat accurate in detecting whether a patient had CAD and was very accurate in confirming no CAD. The differences in sensitivity and NPV reflect differences in defining CAD, but this study demonstrates the potential for automated AI-phenotyping to detect pre-treatment risk factors and cardiac toxicity events from the EHR.

Characterization of DNA Damage Response-Associated Somatic Mutations in Borderline Resectable and Locally Advanced Pancreatic Cancer

PURPOSE/OBJECTIVE(S)

The role of radiation for pancreatic cancer remains controversial, with recent studies showing conflicting results, highlighting the need to develop biomarkers of radiation response. Despite its potential utility in predicting radiosensitivity, the landscape of somatic mutations in borderline resectable pancreatic cancer (BRPC) and locally advanced pancreatic cancer (LAPC), as related to DNA damage response (DDR), has not been well characterized. This study aimed to characterize the frequency of such mutations in a cohort of patients with BRPC/LAPC treated with neoadjuvant chemotherapy and stereotactic body radiotherapy (SBRT).

MATERIALS/METHODS

Mutational data was collected from patients with BRPC/LAPC treated at a single institution with neoadjuvant chemotherapy and SBRT, followed by surgical resection from 2016-2021. Chemotherapy consisted of modified FOLFIRINOX or gemcitabine/nab-paclitaxel, and patients were treated with SBRT in 33 Gy in 5 fractions. Genomic data was obtained from either endoscopic biopsy or surgical specimens, and next-generation sequencing was performed either in-house with a Solid Tumor Panel or with FoundationOne CDx. Specific emphasis was placed on the characterization of double-strand DNA break (DSB) repair genes, as this is the type of tumor cell damage traditionally induced by radiation therapy. Genes associated with the two main pathways of DSB repair, non-homologous end joining (NHEJ) and homologous repair (HR), were analyzed. Specific HR pathway mutations assessed were BLM, BRCA1/2, MRE11, NBN, PALB2, RAD50, RAD51B-D, and RAD54L, while PRKDC mutations were assessed for the NHEJ pathway. Mutations in ATM, an important initiator of DDR pathways, were also analyzed. Additionally, the frequency of mutations in TP53, CDKN2A and SMAD4 in patients with concomitant KRAS mutations was assessed.

RESULTS

Eighty-five patients were included in the study. Five (5.9%) patients had mutations in the NHEJ pathway of the PRKDC gene. Twenty (23.5%) patients had mutations in the HR pathway, including BRCA2 (10/85; 11.8%), PALB2 (5/85; 5.9%), BRCA1 (3/85; 3.5%), and RAD50 (1/85; 1.2%). Six (7.1%) patients had mutations in ATM. No patients were found to have mutations in BLM, RAD51B-D, RAD54L, or NBN. Amongst patients with KRAS mutations (72/85), concomitant mutations were observed in TP53 (47/85; 55.3%), CDKN2A (16/85; 18.8%), and SMAD4 (9/85; 10.6%).

CONCLUSION

Herein, we characterized the frequency of somatic mutations associated with DSB repair genes in patients with BRPC/LAPC. Data analysis on outcomes related to radiation response in patients with mutations in DDR pathways is ongoing, but will likely also benefit from multi-institutional efforts to increase the power to answer this question.

Single Cell Analysis of Macrophage Heterogeneity and NK-Cell Exhaustion in Lewis Lung Cancer Xenograft Tumor

PURPOSE/OBJECTIVE(S)

Stereotactic body radiation therapy (SBRT) has attracted much attention because of its ability to stimulate anti-tumor immune response. However, the mechanism of SBRT reprogramming the tumor microenvironment remains to be elucidated.

MATERIALS/METHODS

Using Lewis lung carcinoma (LLC) xenograft mice model treated with SBRT (8Gy x 3F), multiplex assay was performed to measure serum chemokine levels, and single-cell RNA sequencing was performed to assess tumor microenvironment. The differential expression genes of each cell subcluster were identified by the "Find-All markers" function with default parameters provided by Seurat. Intercellular communication analysis was explored by using CellPhone DB package.

RESULTS

The majority of serum chemokines involved macrophage recruitment, including CCL3, CCL4, CCL8, and CCL20, were highly secreted at 7 days after SBRT. Single-cell RNA sequencing of 108,741 cells were contained from 6 mouse Lewis lung carcinoma samples (n = 3 tumors for SBRT, n = 3 tumors pooled for SHAM). Besides Lewis cancer cells, myeloid cells were 57.61% ,70.82% in Sham-irradiation (SHAM) and SBRT while NT and T cells were 20.50%, 7.81% in SHAM and SBRT, respectively. When compared with SHAM group, upregulation of Ccl3, Ccl4, Ccl8 chemokine genes were observed in cancer cells of SBRT group. Differential expression genes analysis showed high expression level of Ccl8 (Log2FC 2.54, p<0.01) in cluster of Mrc1+macrophage. The SBRT group consisted of more Ccl8+Mrc1+macrophages (proportion 36.28% for SBRT, 27.44% for SHAM) and exhausted NK cells (proportion 22.56% for SBRT, 13.70% for SHAM). More importantly, intercellular communication analysis revealed a potential communication network between Ccl8+Mrc1+macrophages and exhausted NK cells.

CONCLUSION

Our results provide a potential therapeutic strategy by disrupting Ccl8+ Mrc1+macrophages and NK-cell interaction to facilitate the stimulation of the anti-tumor immune response by SBRT.

A Holistically-Guided Decoder for Deep Representation Learning With Applications to Semantic Segmentation and Object Detection

Both high-level and high-resolution feature representations are of great importance in various visual understanding tasks. To acquire high-resolution feature maps with high-level semantic information, one common strategy is to adopt dilated convolutions in the backbone networks to extract high-resolution feature maps, such as the dilatedFCN-based methods for semantic segmentation. However, due to many convolution operations are conducted on the high-resolution feature maps, such methods have large computational complexity and memory consumption. To balance the performance and efficiency, there also exist encoder-decoder structures that gradually recover the spatial information by combining multi-level feature maps from a feature encoder, such as the FPN architecture for object detection and the U-Net for semantic segmentation. Although being more efficient, the performances of existing encoder-decoder methods for semantic segmentation are far from comparable with the dilatedFCN-based methods. In this paper, we propose one novel holistically-guided decoder which is introduced to obtain the high-resolution semantic-rich feature maps via the multi-scale features from the encoder. The decoding is achieved via novel holistic codeword generation and codeword assembly operations, which take advantages of both the high-level and low-level features from the encoder features. With the proposed holistically-guided decoder, we implement the EfficientFCN architecture for semantic segmentation and HGD-FPN for object detection and instance segmentation. The EfficientFCN achieves comparable or even better performance than state-of-the-art methods with only 1/3 of their computational costs for semantic segmentation on PASCAL Context, PASCAL VOC, ADE20K datasets. Meanwhile, the proposed HGD-FPN achieves higher mean Average Precision (mAP) when integrated into several object detection frameworks with ResNet-50 encoding backbones.

Association of Left Ventricular Myocardium Dose Exposure with Heart Failure in Lung Cancer Radiotherapy

PURPOSE/OBJECTIVE(S)

The volume of left anterior descending (LAD) coronary artery dose receiving 15 Gy (LAD V15 Gy) has been associated with major adverse cardiac events (MACE; a composite endpoint of unstable angina, heart failure hospitalization/urgent visit, myocardial infarction, coronary revascularization, and cardiac death) and mortality in patients with locally advanced non-small cell lung cancer (LA-NSCLC) following radiotherapy (RT). With growing evidence supporting specific cardiac substructure dose exposure with distinct pathophysiologic cardiac endpoints, our objective was to assess whether RT dose to the left ventricular myocardium (LVM) was associated with the specific cardiac endpoints of heart failure (HF) vs. overall MACE.

MATERIALS/METHODS

Retrospective analysis of 701 patients with LA-NSCLC treated with RT between 2003 and 2014. LAD was segmented manually, while LVM (excluding blood pool) was segmented using an open-source deep learning-based automated algorithm (TotalSegmentator; Wasserthal et al, 2022) and dosimetric parameters (mean, max, and VX Gy in 5 Gy increments) collected. HF was defined as any grade ≥3 Common Terminology Criteria for Adverse Event (CTCAE) HF or cardiomyopathy. Receiver operating curve and cut-point analyses estimating HF were performed. Fine and Gray and Cox regressions, adjusting for preexisting cardiovascular (CV) risk factors and other prognostic factors, were calculated.

RESULTS

Of 701 patients, the median age was 65 years (interquartile range [IQR], 57-73), 51% were men. At a median follow up of 20 months (IQR, 8-45) following RT, there were 64 HF events. The median time to HF was 20 months (IQR, 9-43), with a 2-year cumulative incidence of 5.2%. The optimal cut-point for the LVM dose variable with the highest C-index predicting HF was LVM V10 Gy ≥10% (.58). By LVM V10 Gy cut point ≥10% vs <10%, the 2-year HF cumulative incidence was 7.2% vs 4.0% (p = .005). Adjusting for baseline CV risk, there was an increased risk of HF with LVM V10 Gy ≥10% (vs. <10%) (subdistribution hazard ratio [SHR] 2.81; 95% confidence interval [CI], 1.02-7.70; p = .045), but not LAD V15 Gy ≥10% (p>.3). Conversely, adjusting for baseline CV risk, there was an increased risk of MACE with LAD V15 Gy ≥10% (SHR = 19.70; 95% CI = 2.57-151.35; p = 0.004), but not LVM V10 Gy ≥10% (p>0.3). On all-cause mortality analysis, adjusting for CV and other prognostic factors, LAD V15 Gy ≥10% (HR = 1.4; 95% CI = 1.02-1.80; p = 0.036), but not LVM ≥10% (p>0.5), remained significantly associated with mortality.

CONCLUSION

Left ventricular myocardium V10 ≥10%, is associated with the specific endpoint of HF, but not overall MACE, while LAD V15 ≥10% remained strongly associated with MACE and all-cause mortality, but not HF. These findings underscore the need to study the interaction between RT dose to specific substructures (i.e., myocardium) and pathophysiologically relevant cardiac endpoints (i.e., HF).

Observation of New Ω_{c}^{0} States Decaying to the Ξ_{c}^{+}K^{-} Final State

Two new excited states, Ω_{c}(3185)^{0} and Ω_{c}(3327)^{0}, are observed in the Ξ_{c}^{+}K^{-} invariant-mass spectrum using proton-proton collision data collected by the LHCb experiment, corresponding to an integrated luminosity of 9  fb^{-1}. Five previously observed excited Ω_{c}^{0} states are confirmed, namely Ω_{c}(3000)^{0}, Ω_{c}(3050)^{0}, Ω_{c}(3065)^{0}, Ω_{c}(3090)^{0}, and Ω_{c}(3119)^{0}. The masses and widths of these seven states are measured with the highest precision to date.

Evidence of a J/ψK_{S}^{0} Structure in B^{0}→J/ψϕK_{S}^{0} Decays

An amplitude analysis of B^{0}→J/ψϕK_{S}^{0} decays is performed using proton-proton collision data, corresponding to an integrated luminosity of 9  fb^{-1}, collected with the LHCb detector at center-of-mass energies of 7, 8, and 13 TeV. Evidence with a significance of 4.0 standard deviations of a structure in the J/ψK_{S}^{0} system, named T_{ψs1}^{θ}(4000)^{0}, is seen, with its mass and width measured to be 3991_{-10}^{+12} _{-17}^{+9}  MeV/c^{2} and 105_{-25}^{+29} _{-23}^{+17}  MeV, respectively, where the first uncertainty is statistical and the second systematic. The T_{ψs1}^{θ}(4000)^{0} state is likely to be the isospin partner of the T_{ψs1}^{θ}(4000)^{+} state, previously observed in the J/ψK^{+} system of the B^{+}→J/ψϕK^{+} decay. When isospin symmetry for the charged and neutral T_{ψs1}^{θ}(4000) states is assumed, the signal significance increases to 5.4 standard deviations.

Measurement of the Ratios of Branching Fractions R(D^{*}) and R(D^{0})

The ratios of branching fractions R(D^{*})≡B(B[over ¯]→D^{*}τ^{-}ν[over ¯]_{τ})/B(B[over ¯]→D^{*}μ^{-}ν[over ¯]_{μ}) and R(D^{0})≡B(B^{-}→D^{0}τ^{-}ν[over ¯]_{τ})/B(B^{-}→D^{0}μ^{-}ν[over ¯]_{μ}) are measured, assuming isospin symmetry, using a sample of proton-proton collision data corresponding to 3.0  fb^{-1} of integrated luminosity recorded by the LHCb experiment during 2011 and 2012. The tau lepton is identified in the decay mode τ^{-}→μ^{-}ν_{τ}ν[over ¯]_{μ}. The measured values are R(D^{*})=0.281±0.018±0.024 and R(D^{0})=0.441±0.060±0.066, where the first uncertainty is statistical and the second is systematic. The correlation between these measurements is ρ=-0.43. The results are consistent with the current average of these quantities and are at a combined 1.9 standard deviations from the predictions based on lepton flavor universality in the standard model.