A phase I trial of autologous RAK cell immunotherapy in metastatic renal cell carcinoma.

BACKGROUND: Treatment of metastatic renal cell carcinoma (mRCC) remains a challenge worldwide. Here, we introduced a phase I trial of autologous RAK cell therapy in patients with mRCC whose cancers progressed after prior systemic therapy. Although RAK cells have been used in clinic for many years, there has been no dose-escalation study to demonstrate its safety and efficacy. METHODS: We conducted a phase I trial with a 3 + 3 dose-escalation design to investigate the dose-related safety and efficacy of RAK cells in patients with mRCC whose cancers have failed to response to systemic therapy (ChiCTR1900021334). RESULTS: Autologous RAK cells, primarily composed of CD8+ T and NKT cells, were infused intravenously to patients at a dose of 5 × 109, 1 × 1010 or 1.5 × 1010 cells every 28 days per cycle. Our study demonstrated general safety of RAK cells in a total of 12 patients. Four patients (33.3%) showed tumor shrinkage, two of them achieved durable partial responses. Peripheral blood analysis showed a significant increase in absolute counts of CD3+ and CD8+ T cells after infusion, with a greater fold change observed in naive CD8+ T cells (CD8+CD45RA+). Higher peak values of IL-2 and IFN-γ were observed in responders after RAK infusion. CONCLUSION: This study suggests that autologous RAK cell immunotherapy is safe and has clinical activity in previously treated mRCC patients. The improvement in peripheral blood immune profiling after RAK cell infusion highlights its potential as a cancer treatment. Further investigation is necessary to understand its clinical utility.

[Reflections on supervision strategies of new Tibetan drug registration].

Tibetan medicine is an essential part of Chinese medicine and has unique theoretical experience and therapeutic advantages. According to the development principle of inheriting the essence, sticking to the truth, and keeping innovative, the supervision department should give clear and reasonable guidance considering the characteristics of Tibetan medicine, establish a standard system for quality control, clinical verification and evaluation, and accelerate the research and commercialization of new drugs. In view of the needs of drug supply-side reform and the current situation of Tibetan medicine and new pharmaceutical research, we ponder and provide suggestions on the confusion faced by the current supervision of Tibetan drug registration, hoping to contribute to the supervision strategy of Tibetan drug registration and the high-quality development of Tibetan medicine industry.

[Research and development strategies of new Chinese medicines based on new regulations].

In recent years, only a small number of new Chinese medicines have been approved for marketing, which has embodied the bottleneck in the development of the Chinese medicine industry. To tackle this problem, the National Medical Products Administration has issued a series of regulations and technical requirements. In the context of new regulations, this study deeply explored the research and development strategies of new Chinese medicines under the guidance of the new classification of drug registration, and discussed the key technical issues in the research and development.

[Suggestions on improving administration of local crude drug quality standards].

To improve the administration of local crude drug quality standard, the administration history, and current administration situation of local crude drugs were reviewed, the legal orientation and positive effect of local crude drugs were analyzed, and the existing problems were summarized. It was found that many problems existed in the administration of local crude drug quality standards, especially the phenomenon of homonym and synonym on their names. The suggestions on improving the administration of local crude drug quality standards were proposed. First of all, the construction of legal system should be strengthened to improve the administration methods. Secondly, the coordination mechanism should be developed to solve the outstanding problems. Thirdly, the basic research should be enhanced to resolve the general technical problems. Lastly, the channels to transfer the local crude drugs into pharmacopeia standards should be developed to achieve dynamic administration.

[Research on application status of Chinese herbal decoction pieces based on clinical survey].

Chinese herbal decoction pieces are the basic approaches for clinical traditional Chinese medicine (TCM), reflecting the features and advantages of TCM. In order to investigate the clinical application status and features of Chinese herbal decoction pieces, the questionnaire on application of commonly used Chinese herbal decoction pieces was designed in this study for analysis of the application situations of Chinese herbal decoction pieces from 56 medical institutions in 10 provinces. The results showed 549 varieties of Chinese herbs and 801 varieties of decoction pieces were used on clinic. They can be classified into 19 categories according to their effects. The varieties of Gancao (Glycyrrhizae Radix et Rhizoma), Huangqi (Astragali Radix), Dihuang (Rehmanniae Radix), Chuanxiong (Chuanxiong Rhizoma), Baizhu (Atractylodis Macrocephale Rhizima), Huangqin (Scutellariae Radix), Danggui (Angelicae Sinenses Radix), Baishao (Paeoniae Radix Alba) and Maidong (Ophiopogonis Radix) were most common ones; the application of Chinese herbal decoction pieces from different medical institutions was differentiated from areas to areas. The survey results reflected the general situation about application of decoction pieces, providing the basic data for recording and completing Chinese herbal decoction pieces in essential drug system, with certain reference significance for the production of Chinese medicinal materials and the allocation of the varieties of Chinese herbal decoction pieces.

Quality assessment of crude and processed ginger by high-performance liquid chromatography with diode array detection and mass spectrometry combined with chemometrics.

A sensitive, simple, and validated high-performance liquid chromatography with diode array detection and mass spectrometry detection method was developed for three ginger-based traditional Chinese herbal drugs, Zingiberis Rhizoma, Zingiberis Rhizome Preparatum, and Zingiberis Rhizome Carbonisata. Chemometrics methods, such as principal component analysis, hierarchical cluster analysis, and analysis of variance, were also employed in the data analysis. The results clearly revealed significant differences among Zingiberis Rhizoma, Zingiberis Rhizome Preparatum, and Zingiberis Rhizome Carbonisata, indicating variations in their chemical compositions during the processing, which may elucidate the relationship of the thermal treatment with the change of the constituents and interpret their different clinical uses. Furthermore, the sample consistency of Zingiberis Rhizoma, Zingiberis Rhizome Preparatum, and Zingiberis Rhizome Carbonisata can also be visualized by high-performance liquid chromatography with diode array detection and mass spectrometry analysis followed by principal component analysis/hierarchical cluster analysis. The comprehensive strategy of liquid chromatography with mass spectrometry analysis coupled with chemometrics should be useful in quality assurance for ginger-based herbal drugs and other herbal medicines.

[HPLC combined with PCA technology for analysis of five gingerol compounds in different processing degrees of ginger charcoal].

To establish a new method for simultaneously determining the content of five gingerol compounds in different processing degrees of ginger charcoal and PCA principal component analysis was conducted for analysis. Samples were analyzed on Ultimate TM XB-C18 column (4.6 mm x 250 mm, 5 µm) , with acetonitrile (A) -0.1% phosphoric acid solution (B) as mobile phase for gradient elution. Detection wavelength was set at 280 nm. The flow rate was 0.6 mL x min(-1) and the column temperature was 30 degrees C. The five compounds were separated well and showed good linearity (r ≥ 0.999 7) within the concentration ranges tested. The average value for recoveries was between 98.86% - 101.5% (RSD 1.4% - 2.9%). The contents of five compounds showed difference among different processing degrees of ginger charcoal. Zingiberone had the highest content in the standard carbon, and the content of gingerol was decreased as the deepening of processing degree. Different processing degrees of ginger charcoal were classified into three groups with PCA, and provided scientific basis for establishing the quality standards of ginger charcoal.

[Preliminary study on general regulations for processing of different processing procedures of prepared slices of Chinese crude drugs in China].

General regulations for the processing are the important part of processing procedures of prepared slices of Chinese crude drugs. It has an important significance on enhancing the operability of actual production, regulating production of prepared slices of Chinese crude drugs, improving quality and establishing drug safety. The article could provides suggestions and reference for future compilation work on "National processing procedures of prepared slices of Chinese crude drugs" by comparative analysis and summary on general regulations for the processing of different processing procedures of prepared slices of Chinese crude drugs in China.

[Application of traditional Chinese medicine reference standards in quality control of Chinese herbal pieces].

Traditional Chinese medicine (TCM) reference standards plays an important role in the quality control of Chinese herbal pieces. This paper overviewed the development of TCM reference standards. By analyzing the 2010 edition of Chinese pharmacopoeia, the application of TCM reference standards in the quality control of Chinese herbal pieces was summarized, and the problems exiting in the system were put forward. In the process of improving the quality control level of Chinese herbal pieces, various kinds of advanced methods and technology should be used to research the characteristic reference standards of Chinese herbal pieces, more and more reasonable reference standards should be introduced in the quality control system of Chinese herbal pieces. This article discussed the solutions in the aspect of TCM reference standards, and future development of quality control on Chinese herbal pieces is prospected.

Advances in new targets for immunotherapy of small cell lung cancer.

Small cell lung cancer (SCLC) is one of the highly aggressive malignancies characterized by rapid growth and early metastasis, but treatment options are limited. For SCLC, carboplatin or cisplatin in combination with etoposide chemotherapy has been considered the only standard of care, but the standard first-line treatment only results in 10-month survival. The majority of patients relapse within a few weeks to months after treatment, despite the relatively sensitive response to chemotherapy. Over the past decade, immunotherapy has made significant progress in the treatment of SCLC patients. However, there have been limited improvements in survival rates for SCLC patients with the current immune checkpoint inhibitors PD-1/PD-L1 and CTLA-4. In the face of high recurrence rates, small beneficiary populations, and low survival benefits, the exploration of new targets for key molecules and signals in SCLC and the development of drugs with novel mechanisms may provide fresh hope for immunotherapy in SCLC. Therefore, the aim of this review was to explore four new targets, DLL3, TIGIT, LAG-3, and GD2, which may play a role in the immunotherapy of SCLC to find useful clues and strategies to improve the outcome for SCLC patients.

Nitrogen-functionalization of carbon materials for supercapacitor: Combining with nanostructure directly is superior to doping amorphous element.

Just how heteroatomic functionalization enhances electrochemical capacity of carbon materials is a recent and widely studied field in scientific research. However, there is no consensus on whether combining with heteroatom-bearing nanostructures directly or doping amorphous elements is more advantageous. Herein, two kinds of porous carbon nanosheets were prepared from coal tar pitch through anchoring graphitic carbon nitride (PCNs/GCNs-5) or doping amorphous nitrogen element (PCNs/N). The structural characteristics and electrochemical properties of the two PCNs were revealed and compared carefully. It can be found that the amorphous nitrogen of PCNs/N will have a grievous impact on its carbon skeleton network, resulting in reduced stability in charge and discharge process, while the structural collapse of carbon network could be avoided in PCNs/GCNs-5 by the heteroatoms in the form of nanostructure. Particularly, PCNs/GCNs-5 exhibits extremely high specific capacity of 388 F g-1 at 1 A g-1, and splendid the capacitance retention rate of 98% after 10,000 cycles of charge and discharge, which are overmatch than the amorphous nitrogen doped carbon materials reported recently and PCNs/N. The combining strategy with nanostructure will inspire the design of carbon materials towards high-performance supercapacitor.

Machine-learning-based classification of diffuse large B-cell lymphoma patients by a 7-mRNA signature enriched with immune infiltration and cell cycle.

BACKGROUND: Diffuse large B-cell lymphoma (DLBCL) exhibits remarkable heterogeneity but still remains undiagnosed in identifying the subpopulation of DLBCL to predict the prognosis and guide clinical treatment. METHODS: Molecular subgroups were identified in gene expression data from GSE10846 by a consensus clustering algorithm. And gene set enrichment analysis, immune infiltration, and the proposed cell cycle algorithm were applied to explore the biological functions of different subtypes. Meanwhile, univariate and multivariate Cox regression analyses were used to evaluate independent prognostic factors of DLBCL. Finally, the prognostic model, including some key genes screened by Lasso regression, Random Forest algorithm, and point-biserial correlation, was constructed by an optimal classifier from seven machine learning algorithms and validated by another three external datasets (GSE34171, GSE87371, GSE31312). RESULTS: Comprehensive genomic analysis of 1,143 DLBCL samples identify 2 molecularly, prognostically relevant subtypes: immune-enriched (IME) and cell-cycle-enriched (CCE). Then a new predictive model including seven key genes (SERPING1, TIMP2, NME1, DCTPP1, RFC4, POLE2, and SNRPD1) was developed with high prediction accuracy (88.6%) and strong predictive power (AUC = 0.973) based on the Support Vector Machine (SVM) algorithm in 414 patients from GSE10846. The predictive power was similar in another three testing sets (HR > 1.400, p < 0.05). CONCLUSION: This model could evaluate survival independently with strong predictive power compared with other clinical risk factors. Our study constructed a reliable model to predict two new subtypes of DLBCL patients, which could guide the implementation of individualized treatment.

Stable recursive auxiliary field quantum Monte Carlo algorithm in the canonical ensemble: Applications to thermometry and the Hubbard model.

Many experimentally accessible, finite-sized interacting quantum systems are most appropriately described by the canonical ensemble of statistical mechanics. Conventional numerical simulation methods either approximate them as being coupled to a particle bath or use projective algorithms which may suffer from nonoptimal scaling with system size or large algorithmic prefactors. In this paper, we introduce a highly stable, recursive auxiliary field quantum Monte Carlo approach that can directly simulate systems in the canonical ensemble. We apply the method to the fermion Hubbard model in one and two spatial dimensions in a regime known to exhibit a significant "sign" problem and find improved performance over existing approaches including rapid convergence to ground-state expectation values. The effects of excitations above the ground state are quantified using an estimator-agnostic approach including studying the temperature dependence of the purity and overlap fidelity of the canonical and grand canonical density matrices. As an important application, we show that thermometry approaches often exploited in ultracold atoms that employ an analysis of the velocity distribution in the grand canonical ensemble may be subject to errors leading to an underestimation of extracted temperatures with respect to the Fermi temperature.

Whole exome analysis reveals the genomic profiling related to chemo-resistance in Chinese population with limited-disease small cell lung cancer.

PURPOSE: The mechanism of chemo-resistance in small cell lung cancer (SCLC) is unclear. This study aims to explore the resistance-related genomic profiles of residual tumors after neo-adjuvant chemotherapy (NAC) in SCLC through the whole-exome sequencing (WES). EXPERIMENTAL DESIGN: A total of 416 limited diseases (LD) SCLC patients underwent surgery were retrospectively analyzed, of which 40 patients received NAC. Then we selected 29 patients undergoing NAC (n = 19) and chemotherapy naïve (CTN, n = 10) to perform WES sequence with formalin-fixed paraffin-embedded samples including tumor and paired para-tumor. RESULTS: In total, single nucleotide variation and mutation rate were similar between NAC and CTN groups. The mutation signatures were significantly discrepant between NAC and CTN groups, as well as among patients with partial response (PR), stable disease (SD), and progressive disease. There were more copy number variation deletions in NAC group compared with CTN group. The inactivation of TP53 and RB1 were the most significantly events in both NAC and CTN groups. RB1 nonsense mutations were recurrent in NAC group (9/19 vs. 0/9, 47.4% vs. 0%) with favorable survival, while the frame-shift deletions were frequent in CTN group (3/9 vs. 3/19, 33.3% vs.15.8%). Integrated function enrichment revealed that the frequently mutant genes were involved in cell cycle, metabolic reprogramming, and oncogenic signaling pathways in NAC group, such as BTG2 pathway, glycolysis in senescence and P53 pathway. A total of 27 genes presented frequently mutant in NAC group and might played a positive role in drug resistance. Multiple genes including BRINP3, MYH6, ST18, and PCHD15, which were associated with prognosis, occurred mutant frequently in PR and SD groups. CONCLUSION: Residual tumors after neo-adjuvant therapy exhibited different mutation signature spectrum. Multiple genes including RB1 nonsense mutations, BRINP3, MYH6, ST18, and PCHD15 were with frequent mutation in residual tumors, which might participate chemo-resistance and influenced the prognosis in patients with limited disease SCLC.

Amorphous carbon nanosheets suitable for deep eutectic solvent electrolyte toward cryogenic energy storage.

The emerging deep eutectic solvent (DES) electrolyte has great potential in realizing commercial-scale application of electric double-layer capacitors (EDLCs) served in low temperature environment. That goal, however, rests with how to design the interface structure of electrode materials for well-matching with DES electrolyte. Herein, porous carbon nanosheets (PCNs) were obtained from coal tar pitch through Friedel-Crafts acylation reaction and melting salt intercalation process. The morphology, specific surface area and porosity of porous carbon nanosheets were regulated by tailoring the abundance of the dangling-bonds grafted on the CTP molecules. Profiting from the large specific surface area, suitable pore structure and good two-dimensional structure to provide more active sites and enhance ion transport capacity, the PCNs-0.10 delivers a maximal specific capacitance of 504F g-1 at 0.1 A g-1, which is overmatch than most of previously reported for other carbon materials. As-assembled symmetrical EDLCs using K+ DES electrolyte, can be assembled to work at -40 °C to 75 °C and exhibit satisfactory energy density. The strategy proposed here has opened a new way for exploring the large-scale preparation of electrode materials suitable for ultra-low temperature capacitors.

Prognostic and predictive impact of molecular tumor burden index in non-small cell lung cancer patients.

BACKGROUND: The biomarkers of immune checkpoint inhibitors in the treatment of non-small cell lung cancer (NSCLC) patients have limited predictive performance. In this study we aimed to investigate the feasibility of molecular tumor burden index (mTBI) in circulating tumor DNA (ctDNA) as a predictor for immunotherapy in patients with NSCLC. METHODS: From February 2017 to November 2020, pretreatment and on-treatment (3~6 weeks after first cycle of immunotherapy) dynamic plasma ctDNA samples from NSCLC patients receiving immune monotherapy or combination therapy were analyzed by targeted capture sequencing of 1021 genes. PyClone was used to infer the mTBI. The impact of pretreatment mTBI on survival outcomes was verified in the POPLAR/OAK trials. RESULTS: We found that patients without detectable baseline ctDNA had better survival outcomes (median overall survival [OS]: not reached vs. 12.8 months; hazard ratio [HR], 0.15; p = 0.035]). RB1 and SMARCA4 mutations were remarkably associated with worse survival outcomes. Furthermore, lower pretreatment mTBI was associated with superior OS (median: not reached vs. 8.1 months; HR, 0.22; p = 0.024) and PFS (median: 32.9 vs. 5.4 months; HR, 0.35; p = 0.045), but not objective response, which was validated in the POPLAR/OAK cohort, suggesting that baseline mTBI was a prognostic factor for NSCLC immunotherapy. Early dynamic changes of mTBI (ΔmTBI) significantly distinguished responsive patients, and patients with mTBI decrease to more than 68% at the final tumor evaluation had longer OS (median: 38.2 vs. 4.0 months; HR, 0.18; p = 0.017) and PFS (median: not reached vs. 2.3 months; HR, 0.24; p = 0.030). CONCLUSION: ΔmTBI had a good sensitivity to identify potential beneficial patients based on the best effect CT scans, demonstrating that mTBI dynamics were predictive of benefit from immune checkpoint blockade.

Integrative analysis identifies two molecular and clinical subsets in Luminal B breast cancer.

Comprehensive multiplatform analysis of Luminal B breast cancer (LBBC) specimens identifies two molecularly distinct, clinically relevant subtypes: Cluster A associated with cell cycle and metabolic signaling and Cluster B with predominant epithelial mesenchymal transition (EMT) and immune response pathways. Whole-exome sequencing identified significantly mutated genes including TP53, PIK3CA, ERBB2, and GATA3 with recurrent somatic mutations. Alterations in DNA methylation or transcriptomic regulation in genes (FN1, ESR1, CCND1, and YAP1) result in tumor microenvironment reprogramming. Integrated analysis revealed enriched biological pathways and unexplored druggable targets (cancer-testis antigens, metabolic enzymes, kinases, and transcription regulators). A systematic comparison between mRNA and protein displayed emerging expression patterns of key therapeutic targets (CD274, YAP1, AKT1, and CDH1). A potential ceRNA network was developed with a significantly different prognosis between the two subtypes. This integrated analysis reveals a complex molecular landscape of LBBC and provides the utility of targets and signaling pathways for precision medicine.

[Actuality investigation on general crude drugs and its quality standard of Tibetan medicine].

OBJECTIVE: To provide a reference for the standardization of Tibetan medicine. METHOD: Investigating the hospital preparations , Tibetan formulated products, and the literature recorded preparations in the Tibetan, Qinghai, Gansu, Sichuan and Yunnan Provinces. Moreover, the varieties, original bases and standard conditions of these preparations were analyzed. According to Chinese Pharmacopoeia, Tibetan medicine part of ministerial standard, Tibetan medicine standards and related monographs and literatures of Tibetan medicine. RESULT: About 502 various of herbs were used in 711 hospital preparations from 40 medical institutions, Tibetan formulated products from Tibetan pharmaceutical factories, and 439 literature recorded preparations. About 154 herbs were used in more than 10 preparations, while most of them were Tibetan endemic species. About 416 medicinal varieties have the original documented basis, including 287 botanicals, 78 animal medicines, 51 mineral medicines, involving a total of 94 families, 261 genus and 643 species of botanical origin (including species of the next grade), 35 families, 52 genera and 61 species of the animal origin (including species of the next grade). About 122 varieties of herbs were cross-used in the traditional Chinese medicine and Tibetan medicine, about 80% of Tibetan medicinal varieties are produced in the Tibetan Areas of Tibet Plateau. About 293 medicinal varieties were contained in the above standards. Most of the herb's standards only contains character, indentification, and examination, except for 8 varieties which were recorded in the Chinese Pharmacopoeia (2010) as Tibetan medicine. CONCLUSION: This study of quality standard of Tibetan medicine should have an emphasis on the general varieties, especially the study on the arrangement research and the efficacious material basis of the varieties and the original, as well as term standardization of the National Medicine.

[Clinical Observation of Immunotherapy Efficacy and Adverse Effects 
in Chinese Patients with Lung Squamous Cell Carcinoma].

BACKGROUND: Immune checkpoint inhibitors (ICIs) improved survival of partial patients with lung squamous cell carcinoma (LUSC). However, it was still insufficient of data in older patients. This study aimed to investigate the efficacy and toxicity of immunotherapy in patients with LUSC in Chinese population of real world. METHODS: A total of 185 LUSC patients underwent pathological diagnosis were involved from January 2018 to January 2022. Patients were divided into elderly group (age ≥70 years) and younger group (age <70 years). The efficacy of mono-immunotherapy or combined with chemotherapy to chemotherapy in first-line treatment was compared. The expression of programmed cell death ligand 1 (PD-L1) and tumor mutational burden (TMB) were evaluated. Response Evaluation Criteria in Solid Tumors (RECIST) version 1.1 was used to evaluate the efficacy, and Common Terminology Criteria for Adverse Events (CTCAE) version 4.03 was used to evaluate immune-related adverse. Kaplan-Meier and Log-rank test was performed. Cox regression was used in prognostic analysis. RESULTS: Combined therapy acquired significantly higher overall response rate (ORR) compared with chemotherapy alone in elderly group (P<0.05), and also in younger group, despite the difference was not significant (P>0.05). The median progression-free survival (mPFS) and median overall survival (mOS) in elderly group were similar with younger group (P>0.05). Both combined group and immunology alone demonstrated prolonged mPFS in first-line compared with chemotherapy in elderly group. And combined group demonstrated significantly prolonged mPFS compared with chemotherapy in younger group (P<0.01). There was no difference of mOS between different regimes in two groups. Elderly LUSC patients had higher PD-L1 positive rate (≥1%) and similar TMB compared with younger group. There was no relationship between mPFS and mOS with the expression of PD-L1 and TMB. Immunology combined with chemotherapy demonstrated better mPFS compared to chemotherapy in first-line therapy with TMB-High (P<0.05), and inferior mPFS with TMB-Low despite the difference was not significant (P>0.05). Cox regression model demonstrated that clinical stage was an independent predictor and prognostic factor. The incidence of immune-related adverse was 58.0% (51/88) and grade 3 or above 25.0% (22/88). The most common grade 3 adverse events were rash, immune-associated pneumonia, and fatigue. CONCLUSIONS: Immunology combined with chemotherapy increased ORR, mPFS and mOS of Chinese patients with LUSC in first-line therapy compared with chemotherapy. There was no difference of efficacy and adverse effects rate between elderly group and younger group. The adverse effects of immunology in elderly patients with LUSC were controllable.

Predictability of carcass traits in live Tan sheep by real-time ultrasound technology with least-squares support vector machines.

This study aimed to investigate the performance of least-squares support vector machines to predict carcass characteristics in Tan sheep using noninvasive in vivo measurements. A total of 80 six-month-old Tan sheep (37 rams and 43 ewes) were examined. Back fat thickness and eye muscle area between the 12th and 13th ribs were measured using real-time ultrasound in live Tan sheep. All carcasses were dissected to hind leg, longissimus dorsi muscle, lean meat, fat, and bone to determine carcass composition. Multiple linear regression (MLR), partial least squares regression (PLSR), and least-squares support vector machines (LSSVM) were applied to correlate the live Tan sheep characteristics with carcass composition. The results showed that the LSSVM model had a better efficacy for estimating carcass weight, longissimus dorsi muscle weight, lean meat weight, fat weight, lean meat, and fat percentage in live lambs (R = 0.94, RMSE = 0.62; R = 0.73, RMSE = 0.02; R = 0.86, RMSE = 0.47; R = 0.78, RMSE = 0.63; R = 0.73, RMSE = 0.02; R = 0.65, RMSE = 0.03, respectively). LSSVM algorithm was a potential alternative to the conventional MLR method. The results demonstrated that LSSVM model might have great potential to be applied to the evaluation of sheep with superior carcass traits by combining with real-time ultrasound technology.