Dosimetric Advantages of Online Adaptative Radiotherapy for Cervical Cancer on 1.5T MR-Linac

PURPOSE/OBJECTIVE(S)

Online adaptative radiotherapy (ART) strategy can be applied to account for inter-fraction organ motion while limiting organ at risk (OAR) dose. This study aims to evaluate tumor target and OARs inter- and intrafraction motion using online MRI during the full course of MR-Linac radiotherapy fractions. Furthermore, quantify the dosimetric consequences of online adaptative compared with non-adaptative radiotherapy (non-ART) in cervical cancer.

MATERIALS/METHODS

Six cervix cancer patients were treated with 150 fractions on the 1.5 T Unity MR-Linac. Each fraction, pre-treatment MRI scans were obtained at the start of every treatment session, and post-treatment MRI scans were obtained at the end of every treatment session. A total 300 MR images were included in this study and the CTV, bladder and rectum were delineated on each MRI by the same radiation oncologist. The inter-fraction and intrafraction changes of contours were evaluated by dice similarity coefficient (DSC), Hausdorff distance (HD), volume difference (ΔV). The reference treatment plans were generated using step-and-shoot IMRT and utilized 9 beam groups on original CT. Then, the online adaptative treatment plans were obtained by re-optimizing based on the contours on daily pre-treatment MRI by "adapt to shape" workflow using the same beam parameters and optimization objectives from the reference plans. Non-ART plans for each patient were generated by recalculating the dose from the reference plans on daily online MRI by "adapt to position" workflow. CTV coverage and OARs constraints were used to compare ART and non-ART plans.

RESULTS

The results showed that large inter-fraction anatomical changes limited the efficacy of radiation therapy (CTV: DSC: 0.89±0.03, HD: 20.83±5.05mm, ΔV: 1.21%±5.44%; Bladder: DSC: 0.68±0.18, HD: 30.58±15.75mm, ΔV: -10.17%±61.19%; Rectum: DSC: 0.69±0.09, HD: 22.98±12.03mm, ΔV: 21.01%±20.59%).The intrafraction anatomical changes were smaller (CTV: DSC: 0.96±0.01, HD: 8.85±3.54mm, ΔV: -0.64%±1.90%; Bladder: DSC: 0.90±0.07, HD: 14.62±9.56mm, ΔV: 19.83%±21.71%; Rectum: DSC: 0.98±0.04, HD: 2.90±4.27mm, ΔV: 0.13%±5.04%) . Non-ART showed inadequate primary CTV coverage in 30% of the daily fractions. Online adaptative plans improved CTV coverage significantly (p<0.001) to 99%. Compared with non-ART, online ART decreased the fraction dose to bladder and rectum indicated by significant (p<0.001) improvements for daily D50%, D2% and Dmean.

CONCLUSION

In cervical cancer radiotherapy, a non-adaptive strategy led to inadequate target coverage for individual patients. Online adaptative radiotherapy corrected for day-to-day anatomical variations and resulted in adequate target coverage in all fractions. The dose to rectum and bladder was decreased significantly when applying online adaptative radiotherapy.

Plasma Exosomal miRNAs as Response Biomarkers of Immunotherapy in Extensive-Stage Small-Cell Lung Cancer

PURPOSE/OBJECTIVE(S)

Immunotherapy combined with chemotherapy has become the first-line standard treatment for patients with extensive-stage small-cell lung cancer (ES-SCLC). The reliable biomarkers stratifying true responders of immunotherapy effectively are unknown, and it is urgent to identify novel biomarkers in clinical. Exosomal miRNAs are considered to play a role in intercellular communication among immune cells and interaction between immune cells and tumor cells. The purpose of this study was to explore the possibility of using plasma-derived exosomal miRNAs as potential biomarkers for identifying responses to immunotherapy in ES-SCLC.

MATERIALS/METHODS

From March 2020 to September 2021, 24 patients with ES-SCLC who received PD-L1 inhibitors were enrolled. Tumor assessments were conducted after every two treatment cycles according to RECIST 1.1. Plasma samples of these patients were collected before administering PD-L1 inhibitors as the baseline, and after every four cycles until the occurrence of disease progression. Plasma exosomes were isolated by ultracentrifugation, then total RNA was extracted. The miRNA profile was analyzed with small RNA next-generation sequencing followed by differential expression analysis.

RESULTS

Of the 24 patients, 15 underwent immunotherapy maintenance after completing four cycles of PD-L1 inhibitor plus chemotherapy. In order to identify biomarkers for a better response to immunotherapy, all five responders (patients achieving PR) and four non-responders (patients achieving PD) at tumor assessment within eight cycles of the maintenance phase were included for differential expression analysis. Surprisingly, hsa-miR-320c, hsa-miR-320d, and hsa-miR-320e showed a trend of increased expression in the non-responders compared with the responders at baseline and were significantly downregulated in the post-treatment plasma exosomes compared with pre-treatment samples of the responders.

CONCLUSION

Exosomal miRNA profiles are discordant between responders and non-responders of anti-PD-L1 treatment. Hsa-miR-320c, hsa-miR-320d, and hsa-miR-320e were identified as potential biomarkers for predicting the efficacy of immunotherapy in patients with ES-SCLC.

Stereotactic Radiotherapy (SRT) in Combination with Aumolertinib to Treat Intracranial Oligometastatic Non-Small Cell Lung Cancer (NSCLC): An Update of a Phase II, Prospective Study

PURPOSE/OBJECTIVE(S)

Stereotactic radiotherapy (SRT) is highly effective and less toxic for limited intracranial metastases. Aumolertinib is a tolerable third-generation epidermal growth factor receptor tyrosine kinase inhibitor that has CNS efficacy in patients with EGFR-mutant NSCLC. We aim to investigate the efficacy and safety of aumolertinib followed by SRT in patients with intracranial oligometastatic NSCLC.

MATERIALS/METHODS

Intracranial oligometastatic Patients with EGFR sensitive mutations (EGFR-TKIs naive) were enrolled and received aumolertinib 110mg daily until intracranial disease progression. Then SRT (32-40 Gy total, 8 Gy/f) was given to intracranial oligo-progression disease if possible. The primary endpoint was intracranial objective response rate (iORR). Secondary endpoints included intracranial progression-free survival (iPFS), intracranial duration of response (iDOR)according to RECIST 1.1, cerebral radiation necrosis rate (CRNR) and overall survival (OS). Safety was evaluated according to Common Terminology Criteria for Adverse Events version 5.0 (CTCAE v5.0). This trial is registered with ClinicalTrials.gov, NCT04519983.

RESULTS

To February 10, 2023, a total of 38 patients were enrolled and 35 patients were assessable followed for 3 months to 18 months. All patients received 110mg aumolertinib daily and received at least one independent imaging evaluation by a radiologist. After oral administration of aumolertinib, the best response of 94% patients in intracranial and extracranial lesions was partial response (PR). Two patients had stable intracranial disease. At data cut-off, one patient developed intracranial primary lesion progression at 12 months after oral administration of aumolertinib but stable in extracranial lesions. SRT treatment was given to this patient. No grade ≥3 adverse events occurred after continued oral administration of aumolertinib. The most common adverse reactions were rash and abnormal liver enzymes, 1 patient had grade 2 CK elevation.

CONCLUSION

This report showed pronounced intracranial objective response benefit in patients with intracranial oligometastatic disease followed by SRT after intracranial oligo-progression and no new safety signals. Aumolertinib has promising efficacy and good tolerability in intracranial oligometastatic EGFR mutated NSCLC. [Keywords] Non-small cell lung cancer; epidermal growth factor receptor tyrosine kinase inhibitor; Aumolertinib; Stereotactic radiotherapy.

Effect of artesunate on cardiovascular complications in periodontitis in a type I diabetes rat model and related mechanisms

PURPOSE

Both cardiovascular disease and periodontitis are complications of diabetes that have a great impact on human life and health. Our previous research found that artesunate can effectively improve cardiovascular disease in diabetes and has an inhibitory effect on periodontal disease. Therefore, the present study aimed to explore the potential therapeutic possibility of artesunate in the protection against cardiovascular complications in periodontitis with type I diabetes rats and to elucidate the possible underlying mechanisms.

METHODS

Sprague‒Dawley rats were randomly divided into the healthy, diabetic, periodontitis, diabetic with periodontitis, and artesunate treatment groups (10, 30, and 60 mg/kg, i.g.). After artesunate treatment, oral swabs were collected and used to determine changes in the oral flora. Micro-CT was performed to observe changes in alveolar bone. Blood samples were processed to measure various parameters, while cardiovascular tissues were evaluated by haematoxylin-eosin, Masson, Sirius red, and TUNEL staining to observe fibrosis and apoptosis. The protein and mRNA expression levels in the alveolar bone and cardiovascular tissues were detected using immunohistochemistry and RT‒PCR.

RESULTS

Diabetic rats with periodontitis and cardiovascular complications maintained heart and body weight but exhibited reduced blood glucose levels, and they were able to regulate blood lipid indicators at normal levels after artesunate treatment. The staining assays suggested that treatment with 60 mg/kg artesunate has a significant therapeutic effect on myocardial apoptotic fibrosis. The high expression of NF-κB, TLR4, VEGF, ICAM-1, p38 MAPK, TGF-β, Smad2, and MMP9 in the alveolar bone and cardiovascular tissue in the type I diabetes and type I diabetes with periodontitis rat models was reduced after treatment with artesunate in a concentration-dependent manner. Micro-CT showed that treatment with 60 mg/kg artesunate effectively alleviated alveolar bone resorption and density reduction. The sequencing results suggested that each model group of rats had vascular and oral flora dysbiosis, but artesunate treatment could correct the dysbacteriosis.

CONCLUSIONS

Periodontitis-related pathogenic bacteria cause dysbiosis of the oral and intravascular flora in type I diabetes and aggravate cardiovascular complications. The mechanism by which periodontitis aggravates cardiovascular complications involves the NF-κB pathway, which induces myocardial apoptosis, fibrosis, and vascular inflammation.

Long-Term Results of Induction Chemotherapy for Esophageal Squamous Cell Carcinoma Receiving Concurrent Chemoradiotherapy

PURPOSE/OBJECTIVE(S)

This study aimed to investigate the long-term clinical outcomes and toxicities of induction chemotherapy (IC) followed by concurrent chemoradiotherapy (CCRT) versus CCRT alone in patients with esophageal squamous cell carcinoma (ESCC).

MATERIALS/METHODS

Between 2008 and 2022, 271 ESCC patients who received definitive CCRT (IC followed by CCRT, n = 72; CCRT alone, n = 199) were enrolled. Radiotherapy technique included intensity modulated radiation therapy (IMRT) or volumetric modulated arc therapy (VMAT). Through a propensity score matched (PSM) method, 71 patients receiving IC and CCRT were matched 1:1 to patients who received CCRT alone, according to age, gender, performance status, tumor length, and pre-treatment TN stage. The Kaplan-Meier method and Cox proportional hazards model were applied to analyze survival and prognosis.

RESULTS

The IC + CCRT group had no improvement in 5-year overall survival (OS) rate (39.0% vs 29.3%, p = 0.360), recurrence-free survival (RFS) rate (39.0% vs 26.9%, p = 0.142), and distant metastasis-free survival (DMFS) rate (33.6% vs 27.2%, p = 0.515) compared with the CCRT group. The overall clinical response rate was 45.1% after IC in the IC + CCRT group. The IC responders (CR + PR + SD) group showed more favorable 5-year OS (41.7% vs. 14.3% vs. 29.3%, p < 0.001), RFS (41.7% vs. 14.3% vs. 26.9%, p < 0.001) and DMFS (37.3% vs. 0% vs. 27.2%, p < 0.001) compared with the IC non-responders (PD) group and the CCRT group. Besides, the 5-year OS rate (65.6% vs. 17.6% vs. 29.3%, p < 0.001), RFS rate (65.6% vs. 17.6% vs. 26.9%, p < 0.001), and DMFS rate (62.5% vs. 10.3% vs. 27.2%, p < 0.001) of the IC good responders (CR + PR) were significantly higher than that of the IC poor responders (SD + PD) and CCRT group. Multivariate analysis revealed that total radiotherapy time (≥ 49 days) and AJCC stage (Ⅲ/Ⅳ) were independent predictive factors of OS, RFS and DMFS. Besides, age was an independent predictive factor of DMFS. No significant difference was observed in the rates of grades 3-4 toxicities between both groups.

CONCLUSION

Our results showed the addition of IC to CCRT was not superior to CCRT in unselected ESCC patients, while IC responders could benefit from this regime without increase in toxicities.

Inter-fractional Assessment during MR-guided Online Adaptive Radiotherapy for Glioblastoma

PURPOSE/OBJECTIVE(S)

Magnetic resonance image (MRI) guided radiation therapy has the potential to improve outcomes for glioblastoma by adapting to tumor changes during radiation therapy. This study aimed to assess the feasibility and potential benefits of MR-guided online adaptive radiotherapy (MRgOART) for patients with glioblastoma.

MATERIALS/METHODS

Twenty consecutive patients with glioblastoma were treated with MRgOART of 60 Gy in 30 fractions by the 1.5 T MR-Linac. The MRgOART fractions employed daily MR scans and the contours were utilized to create each adapted plan. The gross tumor volume (GTV) and clinical target volume (CTV) were delineated on MRI of pre-treatment simulation (Fx0) and all fractions (Fx1, Fx2, Fx3 ... Fx30) to evaluate the inter-fractional changes. These changes were quantified using absolute/relative volume (∆V), Dice similarity coefficient (DSC) and Hausdorff distance (HD) metrics. The reference treatment plans were generated using step-and-shoot IMRT and utilized 7-9 beam groups on original CT. Before the treatment, a synthetic CT (sCT) quality assurance (QA) process was performed to assess the dose accuracy of bulk relative electron density (rED) assignment for online MRI based treatment plan in terms of gamma analysis, point dose comparison and dose volume histogram (DVH) parameters. Then, the online adaptative treatment plans were obtained by re-optimizing based on the contours on daily pre-treatment MRI by "adapt to shape" workflow. Non-adaptive plans for each patient were generated by recalculating the dose from the reference plans on daily online MRI by "adapt to position" workflow. GTV and CTV coverage and organ at risk (OAR) constraints were used to compare non-adaptive and adaptive plans.

RESULTS

For both criteria, the 1%/1mm (98.58%±0.15%) and 2%/2mm (99.88%±0.18%) gamma passing rate results were always clinically acceptable in sCT QA process. The differences on point dose and DVH parameters between the plans based on sCT and original CT were less than 1%. A total of 20 patients with 600 fractions were evaluated. The results showed that large inter-fractional changes for GTV limited the efficacy of radiation therapy (DSC: 0.78±0.08, HD: 20.94±3.64mm, ∆V: 2.92%±6.36%). The inter-fractional CTV changes were smaller (DSC: 0.91±0.04, HD: 15.31±3.09mm, ∆V: 1.41%±1.29%). GTV coverage of non-adaptive plans was below the prescribed coverage in 228/600 fractions (38%), with 90 (15%) failing by more than 10%. For CTV coverage of non-adaptive plans, the changes were less than 5%. Online adaptative plans improved GTV and CTV coverage significantly (p<0.001) to 99%. The adaptive plans also had lower dose to whole brain than non-adaptive plans (p<0.001).

CONCLUSION

Significant inter-fractional tumor changes could be found during radiotherapy in patients with glioblastoma treated by the 1.5 T MR-Linac. Daily MR-guided re-optimization of treatment plans corrected for day-to-day anatomical variations and resulted in adequate target coverage in all fractions.

Adaptive Auto-Segmentation for MRI-Guided Online Adaptive Radiotherapy of Cervical Carcinoma

PURPOSE/OBJECTIVE(S)

Accurate and efficient delineation of organs and targets on session images is critical in MRI-guided online adaptive radiotherapy (MRgOART). This study proposes a registration-guided deep learning image segmentation framework to assist online delineation of cervical carcinoma.

MATERIALS/METHODS

A total of 300 T2-weighted MR images were acquired for patients with cervical carcinoma treated by a 1.5T Unity MR-Linac. The CTV, bladder, rectum, pelvic bone and femoral joints were delineated on each MRI by the same radiation oncologist. To overcome these obstacles to online MRI segmentation, we propose a registration-guided DL (RgDL) segmentation framework that integrates image registration algorithms and DL segmentation models. Firstly, the DL segmentation model was trained using nnU-net. Then, for each treatment fraction, the deformable image registration (DIR) algorithm generates initial contours from previous treatment fraction, which were used as guidance by DL model to obtain the accurate current segmentation. The segmentation accuracy of alone DIR, DL and RgDL were evaluated by dice similarity coefficients (DSC) and other distance-based metrics.

RESULTS

Compared to the baseline approaches using the DIR and the DL alone, RgDL achieved a DSC of 91.12% on CTV, higher than DIR and DL alone by 15.54% and 10.13%. The DSC of RgDL were improved to 95.58%, 93.65%, 87.8% and 94.84% for bladder, pelvic bone, rectum and femoral joints, higher than DIR and DL alone by 9.61% on average.

CONCLUSION

The proposed adaptive auto-segmentation method can achieve accurate and efficient segmentation and potentially overcome these obstacles to MRgOART.

Influence of Eyes Movement on Lens Dose during MR-Guided Radiotherapy for Brain Tumor

PURPOSE/OBJECTIVE(S)

Modern radiotherapy techniques achieve highly conformal target doses while avoiding organs at risk such as lens. The magnitude of eyes movement and its influence on lens dose is unclear. The lens dose is relevant for cataract formation. This study aims to evaluate the movement-range of lens and its influence on dose distribution during MR-guided radiotherapy for brain cancer patients.

MATERIALS/METHODS

Fifty patients with brain cancer who were treated with MR-guided radiotherapy on 1.5 T MR-Linac were included in this study. All patients underwent a pre-treatment MRI and post-treatment MRI for each fraction. The eyes and lens were delineated on each MR image by a radiation oncologist. The reference treatment plans based original CT were recalculated on each MRI by "adapt to position" workflow. Then, we created planning risk volume (PRV) for lens by adding population margin and reoptimized the reference plans to evaluate the dose changes for lens. Inter-fraction and intrafraction variability for eyes and lens were evaluated with the Dice similarity coefficient (DSC), the Hausdorff distance (HD) and mean distance to agreement (MDA). Differences in daily dose (Dmax and Dmean) for eyes and lens were assessed.

RESULTS

A total of 300 MR images were analyzed in this study. The eyes motion was observed (minimum DSC: 0.57; maximum HD: 10.53; maximum MDA: 3.13). And the obvious lens motion also was found (minimum DSC: 0.01; maximum HD: 10.78; maximum MDA: 5.68). The maximum dose changes for eyes were up to 34.1% and the mean dose changes were up to 18.1%. The maximum dose changes for lens were up to 97.9% and the mean dose changes for eyes were up to 89%. When the reoptimized plans were generated by PRV lens, the dose changes were decreased nearly to 0.

CONCLUSION

Eyes movements in all radiotherapy fractions result in higher lens doses and potentially increase cataract formation rate. Adding margin expansions in treatment planning, to account for eyes motion, is the feasible approach to limit lens dose.

Deep Learning-Based Quality Assurance for Auto-Segmentation Masks in Radiotherapy

PURPOSE/OBJECTIVE(S)

Deep learning-based auto-contouring has shown great promise in several disease sites including GU and head and neck. However, quality assurance (QA) is key to identify poor auto-contours which is time consuming. We hypothesis that training a deep learning model to predict contour quality metrics, such as Dice coefficients (DSC) and associated uncertainties for QA.

MATERIALS/METHODS

We trained a 3D U-Net-based DL model for segmenting the target and three clinical-relevant OARs (bladder and rectum). To mimic the slice-by-slice review process in clinical practice, we then trained a 2D ResNet-based DL model to predict the 2D DSC for each 2D slice's contour, generated by the 3D segmentation model. Using the Monte Carlo dropout technique, we made 20 independent predictions per slice, with the final DSC calculated as their average and uncertainty estimated as 95% prediction intervals (PI). The study cohort consisted of 912 prostate cancer patients who received definitive radiotherapy. The 3D auto-segmentation model was trained on 129 patients and validated on 20, before being tested on 763 patients. The 2D DSC prediction model was trained on 293 patients with 11116 slices, validated on 73 patients with 2804 slices, and tested on 366 patients with 14117 slices. Rectum was chosen to test the 2D contour QA model as it is the most challenging OAR. We categorized 2D slices into three groups based on the lower and upper bounds of the prediction intervals. "no/minor edits" (lower bound > = 0.9), "major edits" (lower bound < 0.9 and upper bound > = 0.8), and "not acceptable" (upper bound < 0.8). The model performance was quantified by calculating correlation coefficients between predicted and ground truth DSC and the fraction of cases that were correctly identified in each category.

RESULTS

The results of the study showed that the overall correlation coefficient between predicted, and ground truth DSC was 0.842. The model was able to correctly identify 78.3%, 60.7%, and 53.4% of the "no/minor edits", "major edits", and "not acceptable" cases, respectively.

CONCLUSION

This study provides a valuable tool for clinicians in making quick decisions on the acceptance, rejection, or revision of auto-segmented masks during the radiation therapy planning process by providing quantitative results on predicted DSC and associated uncertainties.

Sub-Grouping Strategy for Improving Atlas-Based Segmentation Performance

PURPOSE/OBJECTIVE(S)

Multi-atlas based segmentation (MAS) uses the prior knowledge provided by finding the best fitting images contoured previously and then propagate the delineation in the atlas onto the target image. However, in the contour propagation approach, grayscale-based similarity metric does not always properly find the best fitting of the registered atlas image and the corresponding segmentation. This is mainly due to the selection calculated similarity of entire images rather than adjacent area of contours. We proposed an atlas grouping method (subset atlas grouping strategy, MAS-SAGS) based on both image similarity and volume feature.

MATERIALS/METHODS

The atlas dataset consists of 100 anonymized female pelvic CT images. 70 images were selected randomly to construct atlas dataset and 30 images out of atlas dataset were assigned as validation set. The gMAS is the general concept of MAS which selected images from the complete dataset and propagated contours based on correspondences found between target image and atlas image. The MAS-SAGS divided atlas dataset into four subgroups which were generated via k-meaning clustering on the basis of volume features in each contour. The volume of each contour V(Ai) = (V1, . . ., Vn), i = {1, . . ., N} were calculated. Then k-means clustering employed to partition the N atlas images into k (!Ü N) sets: V-¦Ìi where is the center of i-th clustering. The atlas dataset A then was divided into k subgroups here. Here, contours including body external, bladder, rectum, femoral head and bone marrow were obtained. These procedures were performed using a treatment planning system based on a hybrid DIR algorithm. The dice similarity coefficient (DSC) and 95% Harsdorf distance (95HD) were used to evaluate the propagation performance of each contour.

RESULTS

For MAS-SAGS, the size of each subgroup was 23, 20, 15, and 12. MAS-SAGS obtained results for bladder with DSC of 0.83!À0.09 and 95HD of 1.38!À0.20 cm and were superior to gMAS with DSC of 0.69!À0.15 and 95HD of 1.77!À0.34 cm. For other structures, DSC were similar for the both approaches but better performance of 95HD were observed on MAS-SAGS and was shown in Table 1. Furthermore, the delineation time of MAS-SAGS (2.6!À0.5 min) was less than gMAS (6.3!À0.5 min) due to the size of atlas images dataset.

CONCLUSION

The results showed significance of performance between MAS-SAGS and gMAS which can be attributed to including volume and similarity information of organs in MAS-SAGS.

Exploring the Efficacy and Molecular Mechanism of Systemic Therapy-Based Split-Course Stereotactic Body Radiation Therapy for Solid Tumors

PURPOSE/OBJECTIVE(S)

Considering the therapeutic toxicity, the question of how to administer adequate chemotherapy to synchronize Stereotactic body radiation therapy (SBRT) treatment strategy for maximizing the benefits of neoadjuvant therapy to improve prognosis is a challenging and debatable issue. This study explores the feasibility and theoretical advantages of the simultaneous implementation of split-course SBRT with systemic treatment.

MATERIALS/METHODS

We evaluated the effect of three irradiation regimens (conventional radiotherapy (C-R, 15×2 Gy, (D1-5, D8-12, D15-19)), continuous SBRT (C-S, 3×7 Gy, (D1-3)), split SBRT (S-S, 3×7 Gy, (D1, D10, D19)) in combination with systemic therapy (chemotherapy (gemcitabine), PD-1 inhibitor (Anti-mouse PD-1 antibody) and angiogenesis-targeting agent (Anlotinib)) on tumor growth and survival by using the immunologically active C57BL/6 bilateral subcutaneous model with different cancer cells. At different time points after treatment, we monitored changes in the tumor microenvironment and explored the possible mechanisms.

RESULTS

In the case of radiotherapy alone, we found similar tumor control in all groups but the best survival in the S-S group. When combined with systemic therapy, the S-S group has shown advantages in tumor control and survival. And the S-S combination group induced more CD4+ and CD8+ T lymphocyte infiltration in the tumor, which had the highest number of tumor vessels and the smallest area of hypoxia. Tumor cell PD-L1 expression was increased after radiotherapy in all but the most elevated and persistent S-S combination treatment group. CD3+ T cells, CD4+ T cells and CD8+ T cells peaked at weeks 2-3 after treatment, and all remained at the highest level for 6 weeks in the S-S combination group. Meanwhile, PD-L1 expression was significantly higher in all tumors in the third week than in other groups. The most significant reduction in the hypoxic area and increase in perfusion level was observed in the S-S group in the third week. RNA sequencing analysis revealed that immune response-related pathways were upregulated on the irradiated and non-irradiated side, tumor proliferation and invasion on the non-irradiated side, and angiogenesis-related pathways were down-regulated in the fractionated SBRT combination treatment group. In both irradiated side and non-irradiated side tumor tissues where the abscopal effect was observed, immune response-related pathways were upregulated in the S-S group relative to the C-R group, and tumor proliferation and invasion and angiogenesis-related pathways were found to be downregulated in the non-irradiated side.

CONCLUSION

In preclinical models, the combination of split SBRT with systemic therapy has been shown to be more advantageous than conventional segmentation, possibly by affecting immune cell infiltration in the tumor microenvironment and reducing tumor hypoxia.

Dietary cholecalciferol and 25-hydroxycholecalciferol supplementation interact to modulate reproductive performance, egg quality, serum antioxidant capacity, intestinal morphology and tibia quality of breeder geese

1. A study was conducted to evaluate the effects of dietary cholecalciferol (vitamin D3) and 25-hydroxycholecalciferol (25-OH-D3) supplementation on the reproductive performance, egg quality, eggshell ultrastructure, serum hormone level and antioxidant capacity, intestinal morphology and tibia quality of breeder geese during the laying period.2. The trial was designed as a 3 × 3 factorial arrangement with three levels (300, 400 and 500 IU/kg) of vitamin D3 supplementation and three levels (25, 50 and 75 μg/kg) of 25-OH-D3 supplementation in a 10-wk feeding trial.3. The results showed that the combined supplementation of 400 IU/kg vitamin D3 and 50 μg/kg 25-OH-D3 had a better feed conversion ratio and a higher egg laying rate than the other groups. Vitamin D3 supplementation significantly increased the rate of qualified eggs for hatching, eggshell strength and thickness, serum testosterone and progesterone levels, serum total superoxide dismutase and glutathione peroxidase activities, tibia ash content and bone mineral density (P < 0.05). Dietary 25-OH-D3 supplementation significantly increased serum glutathione peroxidase activity and duodenal villus height and villus height-to-crypt-depth ratio (P < 0.05). The geese receiving 500 IU/kg vitamin D3 and 75 µg/kg 25-OH-D3 had the highest tibia calcium and phosphorous content among all groups (P < 0.05).4. Feeding 400 IU/kg vitamin D3 plus 50 µg/kg 25-OH-D3 gave optimal effects on feed conversion ratio and egg laying rate. This combination could be a nutritional strategy for increasing the laying rate, eggshell quality, serum hormone levels and serum antioxidant function regardless of 25-OH-D3 supplementation. Supplementation of 50 μg/kg 25-OH-D3 could be a recommended dose for improving the serum antioxidant capacity and intestinal morphology regardless of vitamin D3 supplementation.

Results From a Multi-Institutional Pilot Study of iContour, an Interactive Online Platform with Real-Time Feedback to Improve Contouring Education for Radiation Oncology Residents

PURPOSE/OBJECTIVE(S)

Numerous studies have shown that variability in contouring by radiation oncologists is common and associated with poor clinical outcomes. Contouring is taught via an apprenticeship model during residency with inconsistent results. Currently, there is no standardized contouring curriculum. We hypothesized that an interactive online educational platform for learners to practice contouring and receive real-time visual feedback would be a useful curricular tool.

MATERIALS/METHODS

The iContour platform displays anonymized DICOM data and allows for input and analysis of user contours in a web-based interface. Nine cases are available from the Head/Neck (H+N), Gynecologic (Gyn), and Gastrointestinal (GI) disease sites. The system presents users with a case and asks them to contour representative slices from 2-3 target volumes or OARs. Upon submission, users are shown several forms of feedback. These include immediate visual comparison with expert contours on the same dataset (all cases), customized feedback based on overlap with prespecified "avoidance" and "inclusion" structures that highlight common mistakes (Gyn cases), and tumor control probability models to estimate the clinical impact of a user's contour variations on patient outcomes (H+N cases). Some cases include short videos outlining anatomy and contouring principles which are shown before the user contours. A pilot study was performed to evaluate technical performance and educational utility. Pre- and post-surveys with Likert-type questions (1-5 scale from strongly disagree to strongly agree) were used to assess user satisfaction and preferences regarding feedback.

RESULTS

A total of 9 residents participated (median PGY3, range PGY2-5) from 5 institutions in 2 countries. Each participant completed 2 cases from a single disease site (n = 3 each for H+N, Gyn and GI), one with educational videos and one without. 67% of users had completed a prior clinical rotation in their disease site. Overall, residents felt the system was a useful educational tool (mean Likert score 4.67 +/- 0.47) and were interested in using it during clinical rotations (4.89 +/- 0.31). Most participants (7/9) felt iContour was more useful than existing resources for contouring education. Residents unanimously (9/9) found direct visual comparison with expert contours the most useful type of feedback, and that cases with videos before contouring were more educational.

CONCLUSION

The iContour platform is a useful educational tool for radiation oncology residents. Participants felt receiving immediate visual feedback on contours was a valuable learning experience. Short instructional videos before contouring can be utilized to provide "just in time" teaching. A randomized study to formally assess the platform's impact on contouring skills is planned.

Touchless Input/Output Interface for Device-to-Device Communication

Multiple quantum well (MQW) III-nitride diodes show selectable functionalities of light-emitting and light-detecting behaviors, enabling direct touchless device-to-device communication. Here, we propose and demonstrate a touchless input/output (I/O) interface using a single MQW III-nitride diode. By integrating an MQW III-nitride diode with a memory via a control circuit, optical signals are converted into electrical ones to be written into a memory, and consequently, electrical information is read out from the memory to be translated into optical signals for visible light communication (VLC). The MQW III-nitride diode can not only lead to a touchless ″writing″ action but also offer a ″reading″ process through light. Such touchless I/O interface would provide new forms of interactivity for device-to-device communication technologies.

[The consistency of skeletal muscle mass measured by CT at L1 and L3 levels and the correlation of skeletal muscle density at L1 level with prognosis in dialysis patients]

Objective: To investigate the consistency of skeletal muscle mass by CT at 1st lumbar vertebrae (L1) and 3rd lumbar vertebrae (L3) levels and the correlation of skeletal muscle density (SMD) at L1 level with prognosis in dialysis patients. Methods: A total of 1 020 patients who underwent initial dialysis and had CT examination data in four centers (Zhongda Hospital Affiliated to Southeast University, the Third Affiliated Hospital of Soochow University, Taizhou People's Hospital Affiliated to Nanjing Medical University and the Affiliated Hospital of Yangzhou University) from January 2014 to December 2019 were retrospectively collected. The skeletal muscle index (SMI) and SMD at L1 and L3 CT images were measured and calculated in patients with both L1 and L3 level CT images. The consistency of SMI and SMD at L1 and L3 levels was analyzed, and the cut-off value of SMI and SMD at L1 level for predicting all-cause mortality and their correlation with the prognosis of dialysis patients were studied. Cox regression model was used to analyze the risk factors for all-cause death and cardiac death. Results: A total of 383 patients had both L1 and L3 level images, including 233 males and 150 females. The average SMD value of 16 samples (4.2%) exceeded the 95% consistency limit range (-8.71 to 7.75 HU), and the average SMI value of 15 samples (3.9%) exceeded the 95% consistency limit range (-20.45 to 9.53 HU). The optimal cut-off value of SMD at L1 level for predicting all-cause mortality was 36.46 HU and the area under curve (AUC) of receiver operating characteristic (ROC) curve was 0.658 (95%CI: 0.596-0.721, P<0.001), with the sensitivity and specificity of 83.8% and 57.5%, respectively. SMI at L1 level was not significantly associated with all-cause mortality (P=0.299). Multivariate Cox regression analysis showed that low SMD at L1 level was associated with all-cause mortality (HR=2.861, 95%CI: 1.576-5.193, P=0.001) and cardiac death (HR=3.771, 95%CI:1.462-9.724, P=0.006). Conclusions: SMD at L1 levelis consistent with SMD at L3 level and can be used to evaluate muscle mass. Low SMD is a risk factor for mortality in dialysis patients.

Characterization and structure-based protein engineering of a regiospecific saponin acetyltransferase from Astragalus membranaceus

Acetylation contributes to the bioactivity of numerous medicinally important natural products. However, little is known about the acetylation on sugar moieties. Here we report a saponin acetyltransferase from Astragalus membranaceus. AmAT7-3 is discovered through a stepwise gene mining approach and characterized as the xylose C3'/C4'-O-acetyltransferse of astragaloside IV (1). To elucidate its catalytic mechanism, complex crystal structures of AmAT7-3/1 and AmAT7-3A310G/1 are obtained, which reveal a large active pocket decided by a specific sequence AADAG. Combining with QM/MM computation, the regiospecificity of AmAT7-3 is determined by sugar positioning modulated by surrounding amino acids including #A310 and #L290. Furthermore, a small mutant library is built using semi-rational design, where variants A310G and A310W are found to catalyze specific C3'-O and C4'-O acetylation, respectively. AmAT7-3 and its variants are also employed to acetylate other bioactive saponins. This work expands the understanding of saponin acetyltransferases, and provide efficient catalytic tools for saponin acetylation.

[Efficacy and safety of extracorporeal membrane oxygenation-supported percutaneous coronary intervention in chronic coronary total occlusion patients with reduced left ventricular ejection fraction]

Objective: To investigate the feasibility and safety of extracorporeal membrane oxygenation (ECMO)-supported percutaneous coronary intervention (PCI) in chronic coronary total occlusion (CTO) patients with reduced left ventricular ejection fraction (LVEF). Methods: The CTO patients with LVEF≤35% and undergoing CTO-PCI assisted by ECMO in the General Hospital of Northern Theater Command from December 2018 to March 2022 were enrolled in this study. The post-procedure complications, changes of LVEF from pre-procedure to post-procedure during hospitalization, and the incidence of all-cause mortality and changes of LVEF after discharge were assessed. Results: A total of 17 patients aged (59.4±11.8) years were included. There were 14 males. The pre-procedure LVEF of these patients were (29.00±4.08)%. Coronary angiography results showed that there were 29 CTO lesions in these 17 patients. There was 1 in left main coronary artery, 7 in left anterior descending artery, 11 in left circumflex artery, and 10 in right coronary artery. ECMO was implanted in all patients before procedure. Among 25 CTO lesions attempted to cross, 24 CTO were successfully implanted with stents. All patients underwent successful PCI for at least one CTO lesion. The number of drug-eluting stents implantation per patient were 4.6±1.3. After procedure, there were 8 patients with hemoglobin decreased>20 g/L, and 1 patient with ECMO-access-site related bleeding. The LVEF value at a median duration of 2.5 (2.0-5.5) days after procedure significantly increased to (38.73±7.01)% (P<0.001 vs. baseline). There were no in-hospital deaths. Patients were followed up for 360 (120, 394) days after discharge, 3 patients died (3/17). The LVEF value was (41.80±7.32)% at 155 (100, 308) days after discharge, which was significantly higher than the baseline value (P<0.001). Conclusion: The results of present study demonstrate that it is feasible, efficient and safe to perform ECMO)-supported CTO-PCI in CTO patients with reduced LVEF.

Search for Λ[over ¯]-Λ Baryon-Number-Violating Oscillations in the Decay J/ψ→pK^{-}Λ[over ¯]+c.c

We report on the first search for Λ[over ¯]-Λ oscillations in the decay J/ψ→pK^{-}Λ[over ¯]+c.c. by analyzing 1.31×10^{9}  J/ψ events accumulated with the BESIII detector at the BEPCII collider. The J/ψ events are produced using e^{+}e^{-} collisions at a center of mass energy sqrt[s]=3.097  GeV. No evidence for hyperon oscillations is observed. The upper limit for the oscillation rate of Λ[over ¯] to Λ hyperons is determined to be P(Λ)=[B(J/ψ→pK^{-}Λ+c.c.)/B(J/ψ→pK^{-}Λ[over ¯]+c.c.)]<4.4×10^{-6} corresponding to an oscillation parameter δm_{ΛΛ[over ¯]} of less than 3.8×10^{-18}  GeV at the 90% confidence level.

Measurement of the Dependence of the Hadron Production Fraction Ratios f_{s}/f_{u} and f_{d}/f_{u} on B Meson Kinematic Variables in Proton-Proton Collisions at sqrt[s]=13 TeV

The dependence of the ratio between the B_{s}^{0} and B^{+} hadron production fractions, f_{s}/f_{u}, on the transverse momentum (p_{T}) and rapidity of the B mesons is studied using the decay channels B_{s}^{0}→J/ψϕ and B^{+}→J/ψK^{+}. The analysis uses a data sample of proton-proton collisions at a center-of-mass energy of 13 TeV, collected by the CMS experiment in 2018 and corresponding to an integrated luminosity of 61.6  fb^{-1}. The f_{s}/f_{u} ratio is observed to depend on the B p_{T} and to be consistent with becoming asymptotically constant at large p_{T}. No rapidity dependence is observed. The ratio of the B^{0} to B^{+} meson production fractions, f_{d}/f_{u}, is also measured, for the first time in proton-proton collisions, using the B^{0}→J/ψK^{*0} decay channel. The result is found to be within 1 standard deviation of unity and independent of p_{T} and rapidity, as expected from isospin invariance.

Ligand binding affinity prediction with fusion of graph neural networks and 3D structure-based complex graph

Accurate prediction of protein-ligand binding affinity is pivotal for drug design and discovery. Here, we proposed a novel deep fusion graph neural networks framework named FGNN to learn the protein-ligand interactions from the 3D structures of protein-ligand complexes. Unlike 1D sequences for proteins or 2D graphs for ligands, the 3D graph of protein-ligand complex enables the more accurate representations of the protein-ligand interactions. Benchmark studies have shown that our fusion models FGNN can achieve more accurate prediction of binding affinity than any individual algorithm. The advantages of fusion strategies have been demonstrated in terms of expressive power of data, learning efficiency and model interpretability. Our fusion models show satisfactory performances on diverse data sets, demonstrating their generalization ability. Given the good performances in both binding affinity prediction and virtual screening, our fusion models are expected to be practically applied for drug screening and design. Our work highlights the potential of the fusion graph neural network algorithm in solving complex prediction problems in computational biology and chemistry. The fusion graph neural networks (FGNN) model is freely available in https://github.com/LinaDongXMU/FGNN.

Reply to Correspondence on "Structural Insight into the Catalytic Mechanism of the Endoperoxide Synthase FtmOx1''

The high-resolution X-ray crystal structure of the ternary complex FtmOx1 ⋅ 2OG ⋅ fumitremorgin B and the catalytic mechanism were recently reported by us (DOI 10.1002/anie.202112063). In their Correspondence, Zhang, Costello, Liu et al. criticize our work in several aspects. Herein, we address these questions one by one. These structural clarifications and new computational results further support the CarC-like mechanistic model.

Search for Exotic Higgs Boson Decays H→AA→4γ with Events Containing Two Merged Diphotons in Proton-Proton Collisions at sqrt[s]=13 TeV

We present the first direct search for exotic Higgs boson decays H→AA, A→γγ in events with two photonlike objects. The hypothetical particle A is a low-mass spin-0 particle decaying promptly to a merged diphoton reconstructed as a single photonlike object. We analyze the data collected by the CMS experiment at sqrt[s]=13  TeV corresponding to an integrated luminosity of 136  fb^{-1}. No excess above the estimated background is found. We set upper limits on the branching fraction B(H→AA→4γ) of (0.9-3.3)×10^{-3} at 95% confidence level for masses of A in the range 0.1-1.2 GeV.

Observation of Same-Sign WW Production from Double Parton Scattering in Proton-Proton Collisions at sqrt[s]=13 TeV

The first observation of the production of W^{±}W^{±} bosons from double parton scattering processes using same-sign electron-muon and dimuon events in proton-proton collisions is reported. The data sample corresponds to an integrated luminosity of 138  fb^{-1} recorded at a center-of-mass energy of 13 TeV using the CMS detector at the CERN LHC. Multivariate discriminants are used to distinguish the signal process from the main backgrounds. A binned maximum likelihood fit is performed to extract the signal cross section. The measured cross section for production of same-sign W bosons decaying leptonically is 80.7±11.2(stat) _{-8.6}^{+9.5}(syst)±12.1(model)  fb, whereas the measured fiducial cross section is 6.28±0.81(stat)±0.69(syst)±0.37(model)  fb. The observed significance of the signal is 6.2 standard deviations above the background-only hypothesis.