Decoding the "Fingerprint" of Implant Materials: Insights into the Foreign Body Reaction.

Foreign body reaction (FBR) is a prevalent yet often overlooked pathological phenomenon, particularly within the field of biomedical implantation. The presence of FBR poses a heavy burden on both the medical and socioeconomic systems. This review seeks to elucidate the protein "fingerprint" of implant materials, which is generated by the physiochemical properties of the implant materials themselves. In this review, the activity of macrophages, the formation of foreign body giant cells (FBGCs), and the development of fibrosis capsules in the context of FBR are introduced. Additionally, the relationship between various implant materials and FBR is elucidated in detail, as is an overview of the existing approaches and technologies employed to alleviate FBR. Finally, the significance of implant components (metallic materials and non-metallic materials), surface CHEMISTRY (charge and wettability), and physical characteristics (topography, roughness, and stiffness) in establishing the protein "fingerprint" of implant materials is also well documented. In conclusion, this review aims to emphasize the importance of FBR on implant materials and provides the current perspectives and approaches in developing implant materials with anti-FBR properties.

Endovenous Microwave Ablation Versus Radiofrequency Ablation for the Treatment of Lower Limb Varicose Veins.

BACKGROUND: This study aimed to retrospectively compare the clinical outcomes of endovenous microwave versus radiofrequency ablation combined with foam sclerotherapy in patients with lower limb varicose veins. METHODS: We identified patients with lower limb varicose veins treated with endovenous microwave ablation or radiofrequency ablation with foam sclerotherapy between January 2018 and June 2021 at our institution. Patients were followed-up for 12 months. Clinical results, including the pre-post-Aberdeen Varicose Vein Questionnaire and post-Aberdeen Varicose Vein Questionnaire and Venous Clinical Severity Score, were compared. Complications were documented and treated accordingly. RESULTS: We included 287 cases (295 limbs total; endovenous microwave ablation + foam sclerosing agent: n = 142, 146 limbs; radiofrequency ablation + foam sclerosing agent: n = 145, 149 limbs). The operative time was shorter for endovenous microwave ablation than radiofrequency ablation (42.58 ± 15.62 min vs. 65.46 ± 24.38 min, P < 0.05); however, other procedural parameters did not differ. Furthermore, hospitalization costs for endovenous microwave ablation were lower than those for radiofrequency ablation (21,063.74 ± 850.47 yuan vs. 23,312.40 ± 1,035.86 yuan, P < 0.05). At the 12-month follow-up, the great saphenous vein closure rate was similar in both groups (endovenous microwave ablation, 97% [142/146] vs. radiofrequency ablation, 98% [146/149]; P > 0.05). Additionally, the satisfaction or incidence rates of complications were not different among the groups. In both groups, the Aberdeen Varicose Vein Questionnaire and Venous Clinical Severity Score values were significantly lower 12 months postsurgery than before surgery; however, the postoperative values did not differ. CONCLUSIONS: Endovenous microwave ablation effectively treated lower limb varicose veins, with similar short-term effects as radiofrequency ablation. Moreover, it had a shorter operative time and was less expensive than endovenous radiofrequency ablation.

A meta-analysis examining the impact of intrawound treatment on reducing deep surgical site infections during instrumented spine surgery.

The purpose of the meta-analysis was to evaluate and compare the effect of intrawound management on decreasing deep surgical site infections (SSIs) in instrumented spinal surgery (SS). The results of this meta-analysis were analysed, and the odds ratio (OR) and mean difference (MD) with 95% confidence intervals (CIs) were calculated using dichotomous or contentious random or fixed effect models. For the current meta-analysis, 29 examinations spanning from 2006 to 2022 were included, encompassing 11 181 people who had instrumented SS. Intrawound management had a significantly lower deep SSI when using vancomycin (OR, 0.34; 95% CI, 0.25-0.44, p < 0.001) and povidone-iodine as intrawound management (OR, 0.24; 95% CI, 0.13-0.42, p < 0.001) compared to control in instrumented SS subjects. The data that was looked at showed that using vancomycin and povidone-iodine as intrawound management had a much lower deep SSI than using a control group of instrumented SS subjects. However, given that some studies included a small number of subjects, attention should be given to their values.

Transfer of LncRNA CRNDE in TAM-derived exosomes is linked with cisplatin resistance in gastric cancer.

This study explores the role of the long noncoding RNA (LncRNA) CRNDE in cisplatin (CDDP) resistance of gastric cancer (GC) cells. Here, we show that LncRNA CRNDE is upregulated in carcinoma tissues and tumor-associated macrophages (TAMs) of GC patients. In vitro experiments show that CRNDE is enriched in M2-polarized macrophage-derived exosomes (M2-exo) and is transferred from M2 macrophages to GC cells via exosomes. Silencing CRNDE in M2-exo reverses the promotional effect of M2-exo on cell proliferation in CDDP-treated GC cells and homograft tumor growth in CDDP-treated nude mice. Mechanistically, CRNDE facilitates neural precursor cell expressed developmentally downregulated protein 4-1 (NEDD4-1)-mediated phosphatase and tensin homolog (PTEN) ubiquitination. Silencing CRNDE in M2-exo enhances the CDDP sensitivity of GC cells treated with M2-exo, which is reduced by PTEN knockdown. Collectively, these data reveal a vital role for CRNDE in CDDP resistance of GC cells and suggest that the upregulation of CRNDE in GC cells may be attributed to the transfer of TAM-derived exosomes.

Single-cell RNA-seq analysis revealed long-lasting adverse effects of tamoxifen on neurogenesis in prenatal and adult brains.

The CreER/LoxP system is widely accepted to track neural lineages and study gene functions upon tamoxifen (TAM) administration. We have observed that prenatal TAM treatment caused high rates of delayed delivery and fetal mortality. This substance could produce undesired results, leading to data misinterpretation. Here, we report that administration of TAM during early stages of cortical neurogenesis promoted precocious neural differentiation, while it inhibited neural progenitor cell (NPC) proliferation. The TAM-induced inhibition of NPC proliferation led to deficits in cortical neurogenesis, dendritic morphogenesis, synaptic formation, and cortical patterning in neonatal and postnatal offspring. Mechanistically, by employing single-cell RNA-sequencing (scRNA-seq) analysis combined with in vivo and in vitro assays, we show TAM could exert these drastic effects mainly through dysregulating the Wnt-Dmrta2 signaling pathway. In adult mice, administration of TAM significantly attenuated NPC proliferation in both the subventricular zone and the dentate gyrus. This study revealed the cellular and molecular mechanisms for the adverse effects of TAM on corticogenesis, suggesting that care must be taken when using the TAM-induced CreER/LoxP system for neural lineage tracing and genetic manipulation studies in both embryonic and adult brains.

Enhancement of the International prognostic index with ß2-microglobulin, platelet count and red blood cell distribution width: a new prognostic model for diffuse large B-cell lymphoma in the rituximab era.

BACKGROUND: This study aimed to propose a new user-friendly, cost effective and robust risk model to facilitate risk stratification for diffuse large B-cell lymphoma (DLBCL) treated with frontline R-CHOP regimens. METHODS: Data on 998 patients with de novo DLBCL diagnosed between Jan 1st, 2005 and Dec 31st, 2018 at our center, who received frontline R-CHOP or R-CHOP-like regimens, were retrospectively collected. Patients were randomly divided into the training cohort (n = 701) and the validation cohort (n = 297). A new prognostic model for overall survival (OS) was built based on the training cohort. The performance of the new model was compared with International prognostic index (IPI), revised IPI (R-IPI) and National Comprehensive Cancer Network (NCCN)-IPI (NCCN-IPI). The new model was validated in the validation cohort. RESULTS: The multivariate analysis of the training cohort showed that the IPI, ß2-microglobulin, platelet count and red blood cell distribution width were independent factors for OS, which were incorporated into the new prognostic model. Patients were stratified into low risk, low-intermediate risk, high-intermediate risk, high risk and very high risk groups, with distinct survival outcomes. The new model achieved good C-indexes for 5-year OS prediction of 0.750 (95%CI 0.719-0.781) and 0.733 (95%CI 0.682-0.784) in the training and validation cohorts, respectively, and displayed well-fitted calibration curves. The C-index and the time-dependent ROC analysis demonstrated better performance of the new model than the IPI, R-IPI and NCCN-IPI in both training and validation cohorts. The integrated Brier score for predicting 5-year OS of the new model was lower than that of the IPI, R-IPI and NCCN-IPI in both cohorts, and decision curve analysis also showed a higher net benefit, indicating the superiority of the new model over the conventional models. CONCLUSION: The new prognostic model might be a useful predictive tool for DLBCL treated with R-CHOP regimens. Further external validation is warranted.

Prognostic role of red blood cell distribution width and platelet/lymphocyte ratio in early-stage classical Hodgkin lymphoma.

Background: To investigate the prognostic role of red blood cell distribution width (RDW) and platelet/lymphocyte ratio (PLR) in early-stage classical Hodgkin lymphoma (cHL). Materials & methods: Data from 402 patients with newly diagnosed early-stage cHL were retrospectively collected. The impact of factors on complete response (CR) rate and freedom from progression (FFP) was analyzed. Results: High PLR was associated with lower CR, but high RDW was not. The univariate analysis showed that RDW and PLR were predictive of FFP. On multivariate analysis, high PLR was an independent risk factor for inferior FFP. Subgroup analysis and a prognostic model for FFP based on PLR validated the prognostic role of PLR. Conclusion: PLR was a robust prognostic factor for newly diagnosed early-stage cHL.

Establishment of a prognostic model of ten transcription factors in gastric cancer.

Transcription factors (TFs) play an important role in tumors. We integrated and analyzed 13 GPL570 platform gastric cancer (GC) microarrays, identified 10 independent prognostic TFs, and constructed a GC prognostic model. Using GSE26942 as the verification set, the Kaplan-Meier curve showed that the signature distinguish the survival rate of GC patients (P < 0.01), and the AUC values are 0.746 and 0.630, respectively. Compared with the clinicopathological characteristics, the signature is an independent prognostic factor (P < 0.05). A nomogram was established based on the model, and the five-year calibration curve verified that the prediction of the nomogram was almost consistent with the actual survival rate, C-index of 0.747 indicated a moderate prognostic ability. The analysis of target genes of 10 TFs showed that they are closely related to the progression of GC. External database and rt-PCR showed that the RNA and protein expression of TFs are consistent with our analysis.

Intelligent Localization Sampling System Based on Deep Learning and Image Processing Technology.

In this paper, deep learning and image processing technologies are combined, and an automatic sampling robot is proposed that can completely replace the manual method in the three-dimensional space when used for the autonomous location of sampling points. It can also achieve good localization accuracy, which solves the problems of the high labor intensity, low efficiency, and poor scientific accuracy of the manual sampling of mineral powder. To improve localization accuracy and eliminate non-linear image distortion due to wide-angle lenses, distortion correction was applied to the captured images. We solved the problem of low detection accuracy in some scenes of Single Shot MultiBox Detector (SSD) through data augmentation. A visual localization model has been established, and the image coordinates of the sampling point have been determined through color screening, image segmentation, and connected body feature screening, while coordinate conversion has been performed to complete the spatial localization of the sampling point, guiding the robot in performing accurate sampling. Field experiments were conducted to validate the intelligent sampling robot, which showed that the maximum visual positioning error of the robot is 36 mm in the x-direction and 24 mm in the y-direction, both of which meet the error range of less than or equal to 50 mm, and could meet the technical standards and requirements of industrial sampling localization accuracy.

Prognostic signature composed of transcription factors accurately predicts the prognosis of gastric cancer patients.

BACKGROUND: Transcription factors (TFs) are involved in important molecular biological processes of tumor cells and play an essential role in the occurrence and development of gastric cancer (GC). METHODS: Combined The Cancer Genome Atlas Program and Genotype-Tissue Expression database to extract the expression of TFs in GC, analyzed the differences, and weighted gene co-expression network analysis to extract TFs related to GC. The cohort including the training and validation cohort. Univariate Cox, least absolute contraction and selection operator (LASSO) regression, and multivariate Cox analysis was used for screening hub TFs to construct the prognostic signature in the training cohort. The Kaplan-Meier (K-M) and the receiver operating characteristic curve (ROC) was drawn to evaluate the predictive ability of the prognostic signature. A nomogram combining clinical information and prognostic signatures of TFs was constructed and its prediction accuracy was evaluated through various methods. The target genes of the hub TFs was predicted and enrichment analysis was performed to understand its molecular biological mechanism. Clinical samples and public data of GC was collected to verify its expression and prognosis. 5-Ethynyl-2'-deoxyuridine and Acridine Orange/Ethidium Bromide staining, flow cytometry and Western-Blot detection were used to analyze the effects of hub-TF ELK3 on the proliferation and apoptosis of gastric cancer in vitro. RESULTS: A total of 511 misaligned TFs were obtained and 200 GC-related TFs were exposed from them. After systematic analysis, a prognostic signature composed of 4 TFs (ZNF300, ELK3, SP6, MEF2B) were constructed. The KM and ROC curves demonstrated the good predictive ability in training, verification, and complete cohort. The areas under the ROC curve are respectively 0.737, 0.705, 0.700. The calibration chart verified that the predictive ability of the nomogram constructed by combining the prognostic signature of TFs and clinical information was accurate, with a C-index of 0.714. Enriching the target genes of hub TFs showed that it plays an vital role in tumor progression, and its expression and prognostic verification were consistent with the previous analysis. Among them, ELK3 was proved in vitro, and downregulation of its expression inhibited the proliferation of gastric cancer cells, induced proliferation, and exerted anti-tumor effects. CONCLUSIONS: The 4-TFs prognostic signature accurately predicted the overall survival of GC, and ELK3 may be potential therapeutic targets for GC.

Preparation of Internalizing RGD-Modified Recombinant Methioninase Exosome Active Targeting Vector and Antitumor Effect Evaluation.

BACKGROUND/AIMS: Targeted drug delivery vehicles with low immunogenicity and toxicity are needed for cancer therapy. Here, we prepare an active targeting drug carrier of low immunogenicity and toxicity for targeted therapy. METHODS: Immature dendritic cells (imDCs) from BALB/c mice were used as donor cells of exosomes (Exos) that were transfected with the plasmids expressing fusion proteins of a tumor-targeting peptide known as internalizing RGD (iRGD) to construct a type of tumor-targeting iRGD-Exos and observe the interaction between these iRGD-Exos. Also, recombinant methioninase (rMETase) was loaded into the iRGD-Exos by electroporation to construct iRGD-Exos-rMETase and to assess the tumor-targeting function of the iRGD-Exos-rMETase. Finally, 30 BALB/c were randomly divided into five groups (n = 6), to observe tumor growth in vivo. RESULTS: The iRGD-Exos-rMETase was 99.58 nm in diameter and presented a unique "goblet" structure under transmission electron microscopy (TEM), with the encapsulation efficiency (EE) of 19.05%. iRGD-Exos-rMETase group has the strongest tumor suppressive effect. Compared to the iRGD-Exos-rMETase group, rMETase group and the blank-Exos-rMETase group were less effective, while the PBS group and the iRGD-Exos group showed no inhibitory effect on tumor growth. After treatment, the iRGD-Exos-rMETase group had gastric tumors significantly smaller and lighter than the other groups (P < 0.05). CONCLUSION: The iRGD-Exos-rMETase is an effective antitumor therapy that delivers rMETase to tumor tissue using the iRGD-Exos. With its favorable inhibitory effect and tumor-targeting function, the iRGD-Exos-rMETase shows excellent potential value and exciting prospects in clinical applications.

Autophagy blockade synergistically enhances nanosonosensitizer-enabled sonodynamic cancer nanotherapeutics.

Ultrasound-triggered sonodynamic therapy (SDT) represents an emerging therapeutic modality for cancer treatment based on its specific feature of noninvasiveness, high tissue-penetrating depth and desirable therapeutic efficacy, but the SDT-induced pro-survival cancer-cell autophagy would significantly lower the SDT efficacy for cancer treatment. Here we propose an "all-in-one" combined tumor-therapeutic strategy by integrating nanosonosensitizers-augmented noninvasive SDT with autophagy inhibition based on the rationally constructed nanoliposomes that co-encapsulates clinically approved sonosensitizers protoporphyrin IX (PpIX) and early-phase autophagy-blocking agent 3-methyladenine (3-MA). It has been systematically demonstrated that nanosonosensitizers-augmented SDT induced cytoprotective pro-survival autophagy through activation of MAPK signaling pathway and inhibition of AMPK signaling pathway, and this could be efficaciously inhibited by 3-MA in early-phase autophagy, which significantly decreased the cell resistance to intracellular oxidative stress and complied a remarkable synergistic effect on SDT medicated cancer-cell apoptosis both in vitro at cellular level and in vivo on tumor-bearing animal model. Therefore, our results provide a proof-of-concept combinatorial tumor therapeutics based on nanosonosensitizers for the treatment of ROS-resistant cancer by autophagy inhibition-augmented SDT.

DNA-methylation-mediated silencing of miR-7-5p promotes gastric cancer stem cell invasion via increasing Smo and Hes1.

Cancer stem cells are undifferentiated cancer cells that have self-renewal ability, a high tumorigenic activity, and a multilineage differentiation potential. MicroRNAs play a critical role in regulating gene expression during carcinogenesis. Here, we investigated the role of miR-7 and the mechanism by which it is dysregulated in gastric cancer stem cells (GCSCs). The stem cell marker, CD44, was used to sort GCSCs by fluorescence-activated cell sorting. We found that CD44 (+) cells have higher invasiveness and form more number of sphere colonies than CD44 (-) cells. Quantitative real-time polymerase chain reaction (PCR) revealed that the miR-7-5p expression was remarkably downregulated in GCSCs but was significantly increased in the methionine-deprived medium. The downregulation of miR-7-5p results from the increased DNA methylation in the promoter region using the methylation-specific PCR. Overexpression of miR-7-5p reduced the formation of colony and decreased the invasion of GCSCs through targeting Smo and Hes1 and subsequent repressing Notch and Hedgehog signaling pathways in vitro. Notably, upregulating miR-7-5p inhibited the growth of tumor in the xenograft model. Hence, these data demonstrated that miR-7-5p represses GCSC invasion through inhibition of Smo and Hes1, which provides a potential therapeutic target of gastric cancer treatment.

Lymph Node Metastasis Prediction from Primary Breast Cancer US Images Using Deep Learning.

Background Deep learning (DL) algorithms are gaining extensive attention for their excellent performance in image recognition tasks. DL models can automatically make a quantitative assessment of complex medical image characteristics and achieve increased accuracy in diagnosis with higher efficiency. Purpose To determine the feasibility of using a DL approach to predict clinically negative axillary lymph node metastasis from US images in patients with primary breast cancer. Materials and Methods A data set of US images in patients with primary breast cancer with clinically negative axillary lymph nodes from Tongji Hospital (974 imaging studies from 2016 to 2018, 756 patients) and an independent test set from Hubei Cancer Hospital (81 imaging studies from 2018 to 2019, 78 patients) were collected. Axillary lymph node status was confirmed with pathologic examination. Three different convolutional neural networks (CNNs) of Inception V3, Inception-ResNet V2, and ResNet-101 architectures were trained on 90% of the Tongji Hospital data set and tested on the remaining 10%, as well as on the independent test set. The performance of the models was compared with that of five radiologists. The models' performance was analyzed in terms of accuracy, sensitivity, specificity, receiver operating characteristic curves, areas under the receiver operating characteristic curve (AUCs), and heat maps. Results The best-performing CNN model, Inception V3, achieved an AUC of 0.89 (95% confidence interval [CI]: 0.83, 0.95) in the prediction of the final clinical diagnosis of axillary lymph node metastasis in the independent test set. The model achieved 85% sensitivity (35 of 41 images; 95% CI: 70%, 94%) and 73% specificity (29 of 40 images; 95% CI: 56%, 85%), and the radiologists achieved 73% sensitivity (30 of 41 images; 95% CI: 57%, 85%; P = .17) and 63% specificity (25 of 40 images; 95% CI: 46%, 77%; P = .34). Conclusion Using US images from patients with primary breast cancer, deep learning models can effectively predict clinically negative axillary lymph node metastasis. Artificial intelligence may provide an early diagnostic strategy for lymph node metastasis in patients with breast cancer with clinically negative lymph nodes. Published under a CC BY 4.0 license. Online supplemental material is available for this article. See also the editorial by Bae in this issue.

Event-free survival at 24 months is a robust surrogate endpoint for long-term survival in pediatric, adolescent, and adult T cell lymphoblastic lymphoma.

T cell lymphoblastic lymphoma (T-LBL) has an aggressive clinical behavior. To date, powerful and consistent prognostic factors have not been established for T-LBL. In this study, we first evaluated the association of event-free survival (EFS) at 24 months (EFS24) with overall survival (OS) in T-LBL patients. Besides, we sought to identify clinical factors of prognostic importance in this rare entity. Between January 2006 and December 2017, ninety-one patients with newly diagnosed T-LBL were retrospectively analyzed. EFS was defined as the time from diagnosis to relapse or progression, unplanned retreatment, death from any cause, or to the last follow-up. In total, 91 patients with a median age of 24 years were enrolled. At a median follow-up of 40.4 months (range, 1.4 to 163.3 months), the 5-year OS and EFS was 47.9% and 43.2%, respectively. Of all patients, 45 (49.5%) achieved EFS24 and 46 (50.5%) did not. Patients who achieved EFS24 showed a markedly superior outcome, compared with those who failed to achieve EFS24 (5-year OS, 90.5% vs 3%, P < 0.001). Univariate analysis indicated bone marrow involvement, response to induction treatment, and stem cell transplantation (SCT) consolidation to be prognostic factors for EFS and OS. In addition, compared with the patients receiving non-Hodgkin's lymphoma (NHL)-like treatment protocols, patients treated with hyper-CVAD showed significantly improved EFS and OS. Such survival advantage in terms of EFS and OS was also observed of BMF-90 regimens over NHL-like therapy, despite that the difference in EFS did not reach statistical significance (P = 0.056). Multivariate analysis demonstrated that achievement of complete remission (CR) after induction therapy and SCT consolidation were independent prognostic indicators for both EFS and OS. We confirm that EFS24 is a strong surrogate endpoint for long-term survival in T-LBL, which is clinically useful for individualized risk reassessment, future clinical trial design, and biomarker discovery validation. Further validation in the context of directed prospective clinical trials is warranted.

Diagnostic Performance of Acoustic Radiation Force Impulse Elastography for the Differentiation of Benign and Malignant Superficial Lymph Nodes: A Meta-analysis.

To estimate the diagnostic performance of acoustic radiation force impulse elastography in distinguishing between benign and malignant superficial lymph nodes, relevant articles published before October 31, 2018, in China and other countries were used. Conclusively, a total of 18 articles were analyzed. Sixteen studies used Virtual Touch tissue quantification (Siemens Healthineers, Erlangen, Germany), and 4 studies used Virtual Touch tissue imaging (Siemens Healthineers). After a meta-analysis, it was found that acoustic radiation force impulse elastography is an efficient method for detecting superficial lymph nodes. In addition, if the cutoff value for the shear wave velocity were less than 2.85 m/s, the summary sensitivity would increase, and the heterogeneity would be reduced.

Prognostic Nomogram for Overall Survival in Patients with Diffuse Large B-Cell Lymphoma.

PURPOSE: This study aimed to develop a prognostic nomogram in diffuse large B-cell lymphoma (DLBCL) and compare it with traditional prognostic systems. MATERIALS AND METHODS: We included 1,070 consecutive and nonselected patients with DLBCL in the National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences, between 2006 and 2012. A nomogram based on the Cox proportional hazards model was developed. RESULTS: The entire group were divided into the primary (n = 748) and validation (n = 322) cohorts. The 5-year overall survival (OS) rate was 64.1% for the entire group. Based on a multivariate analysis of the primary cohort, seven independent prognostic factors including age, Ann Arbor stage, Eastern Cooperative Oncology Group performance status score, lactate dehydrogenase, ß2-microglobulin, CD5 expression, and Ki-67 index were identified and entered the nomogram. The calibration curve showed the optimal agreement between nomogram prediction and actual observation. In addition, the concordance index (C-index) of the nomogram for OS prediction was 0.77 (95% confidence interval [CI], 0.73-0.81) in the primary cohort and 0.76 (95% CI, 0.70-0.81) in the validation, superior to that of the international prognostic index (IPI), revised IPI (R-IPI), and National Comprehensive Cancer Network (NCCN)-IPI (range, 0.69-0.74, p<.0001). Moreover, in patients receiving rituximab plus CHOP (R-CHOP) or R-CHOP-like regimens, compared with IPI (C-index, 0.73; 95% CI, 0.69-0.77), R-IPI (C-index, 0.70; 95% CI, 0.66-0.74), or NCCN-IPI (C-index, 0.71; 95% CI, 0.66-0.75), the DLBCL-specific nomogram showed a better discrimination capability (p < .0001). CONCLUSIONS: The proposed nomogram provided an accurate estimate of survival of patients with DLBCL, especially for those receiving R-CHOP or R-CHOP-like regimens, allowing clinicians to optimized treatment plan based on individualized risk prediction. IMPLICATIONS FOR PRACTICE: A diffuse large B-cell lymphoma (DLBCL)-specific prognostic nomogram was developed based on Chinese patients with DLBCL. As a tertiary hospital, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences is the number 1 ranked cancer center in China, with more than 800,000 outpatients in 2018. Patients included in this study were nonselected and came from 29 different provinces, municipalities, and autonomous regions in China. Thus, the data is believed to be representative to an extent.

Au nanocages saturable absorber for 3-µm mid-infrared pulsed fiber laser with a wide wavelength tuning range.

Au nanocages (Au-NCs) have attracted wide attention as low-dimensional materials with broadband absorption, ultrafast optical response, large third-order optical nonlinearity coefficient, and high photothermal stability and thermal tolerance. By employing Au-NCs as saturable absorbers, we demonstrate a widely tunable passively Q-switched erbium-doped fluoride fiber laser at the wavelength of 2.8 µm. When operates at 2778.0 nm, this laser delivers stable Q-switched pulses with a maximum average power of 584.6 mW at a pulse repetition rate of 80.6 kHz. The minimum pulse duration attained was 1.16 µs corresponding with the single pulse energy of 7.25 µJ. Our results present onefold increase in pulse energy over previously published values achieved from Au nanoparticles based 3-µm passively Q-switched fiber lasers. By introducing a plane ruled grating, a tuning rage of 57.0 nm from 2753.0 to 2810.0 nm is achieved, while maintaining stable Q-switched operation. To our knowledge, this is the first time to demonstrate that Au-NCs can realize mid-infrared pulsed laser. Our research results show that Au-NCs are promising broadband nonlinear modulators for mid-infrared pulse generation.

Clinical features and outcomes of diffuse large B-cell lymphoma based on nodal or extranodal primary sites of origin: Analysis of 1,085 WHO classified cases in a single institution in China.

OBJECTIVE: To explore the clinicobiologic features and outcomes of diffuse large B-cell lymphoma (DLBCL) patients in China according to the primary site. METHODS: A total of 1,085 patients diagnosed with DLBCL in National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College during a 6-year period were enrolled. Their clinical characteristics and outcomes were analyzed according to the primary site. RESULTS: In the 1,085 patients, 679 (62.6%) cases were nodal DLBCL (N-DLBCL) and 406 cases (37.4%) were extranodal DLBCL (EN-DLBCL). The most common sites of N-DLBCL were lymphonodus (64.8%), Waldeyer's ring (19.7%), mediastinum (12.8%) and spleen (2.7%), while in EN-DLBCL, stomach (22.4%), intestine (16.0%), nose and sinuses (8.9%), testis (8.4%), skin (7.9%), thyroid (6.9%), central nervous system (CNS) (6.4%), breast (5.7%), bone (3.4%), and salivary gland (2.7%) were most common. N-DLBCL patients tend to present B symptoms, bulky disease, and elevated LDH more often, while age >60 years, extranodal sites >1, Ann Arbor stage I or II, bone marrow involvement, and Ki-67 index >90% were usually seen in EN-DLBCL. The 5-year overall survival (OS) rate and progression-free survival (PFS) rate for all patients were 62.5% and 54.2%. The 5-year OS rate for patients with N-DLBCL and EN-DLBCL were 65.5% and 56.9% (P=0.008), and the 5-year PFS were 57.0% and 49.0% (P=0.020). Waldeyer's ring originated DLBCL possessed the highest 5-year OS rate (83.6%) and PFS rate (76.9%) in N-DLBCL. The top five EN-DLBCL subtypes with favorable prognosis were stomach, breast, nose and sinuses, lung, salivary gland, with 5-year OS rate: 70.3%, 69.6%, 69.4%, 66.7% and 63.6%, respectively. While CNS, testis, oral cavity and kidney originated EN-DLBCL faced miserable prognosis, with 5-year OS rate of 26.9%, 38.2%, and 42.9%. CONCLUSIONS: In our study, primary sites were associated with clinical characteristics and outcomes. Compared with EN-DLBCL, N-DLBCL had better prognosis.