MICPL: Motion-Inspired Cross-Pattern Learning for Small-Object Detection in Satellite Videos.

For small-object detection, vision patterns can only provide limited support to feature learning. Most prior schemes mainly depend on a single vision pattern to learn object features, seldom considering more latent motion patterns. In the real world, humans often efficiently perceive small objects through multipattern signals. Inspired by this observation, this article attempts to address small-object detection from a new prospective of latent pattern learning. To fulfill this purpose, it regards a real-world moving object as the spatiotemporal sequences of a static object to capture latent motion patterns. In view of this, we propose a motion-inspired cross-pattern learning (MICPL) scheme to capture the motion patterns for moving small-object scenarios. This scheme mainly consists of two crucial parts: motion pattern mining (MPM) and motion-vision adaption. The former is designed to effectively mine the motion pattern from time-dependent representation space. The latter is devised to correlate between motion patterns and vision semantics. In the meanwhile, we explore their cross-pattern interactions to guide MICPL to capture motion patterns effectively. Comparison experiments verify that, cooperated by motion pattern, even a simple detector could often refresh state-of-the-art (SOTA) results on moving small-object detection. Moreover, the experiments on two small-object-related tasks further prove the adaptivity and advantages of our cross-pattern feature learning scheme. Our source codes are available at https://github.com/ UESTC-nnLab/MICPL.

Epigallocatechin gallate suppresses mitotic clonal expansion and adipogenic differentiation of preadipocytes through impeding JAK2/STAT3-mediated transcriptional cascades.

BACKGROUND: Mitotic clonal expansion (MCE) is a prerequisite for preadipocyte differentiation and adipogenesis. Epigallocatechin gallate (EGCG) has been shown to inhibit preadipocyte differentiation. However, the exact molecular mechanisms are still elusive. PURPOSE: This study investigated whether EGCG could inhibit adipogenesis and lipid accumulation by regulating the cell cycle in the MCE phase of adipogenesis and its underlying molecular mechanisms. METHOD: 3T3-L1 preadipocytes were induced to differentiate by a differentiation cocktail (DMI) and were treated with EGCG (25-100 µM) for 9, 18, and 24 h to examine the effect on MCE, or eight days to examine the effect on terminal differentiation. C57BL/6 mice were fed a high-fat diet (HFD) for three months to induce obesity and were given EGCG (50 or 100 mg/kg) daily by gavage. RESULTS: We showed that EGCG significantly inhibited terminal adipogenesis and lipid accumulation in 3T3-L1 cells and decreased expressions of PPARγ, C/EBPα, and FASN. Notably, at the MCE phase, EGCG regulated the cell cycle in sequential order, induced G0/G1 arrest at 18 h, and inhibited the G2/M phase at 24 h upon DMI treatment. Meanwhile, EGCG regulated the expressions of cell cycle regulators (cyclin D1, cyclin E1, CDK4, CDK6, cyclin B1, cyclin B2, p16, and p27), and decreased C/EBPß, PPARγ, and C/EBPα expressions at MCE. Mechanistic studies using STAT3 agonist Colivelin and antagonist C188-9 revealed that EGCG-induced cell cycle arrest in the MCE phase and terminal adipocyte differentiation was mediated by the inhibition of JAK2/STAT3 signaling cascades and STAT3 (Tyr705) nuclear translocation. Furthermore, EGCG significantly protected mice from HFD-induced obesity, reduced body weight and lipid accumulations in adipose tissues, reduced hyperlipidemia and leptin levels, and improved glucose intolerance and insulin sensitivity. Moreover, RNA sequencing (RNA-seq) analysis showed that the cell cycle changes in epididymal white adipose tissue (eWAT) were significantly enriched upon EGCG treatment. We further verified that EGCG treatment significantly reduced expressions of adipogenic factors, cell cycle regulators, and p-STAT3 in eWAT. CONCLUSION: EGCG inhibits MCE, resulting in the inhibition of early and terminal adipocyte differentiation and lipid accumulation, which were mediated by inhibiting p-STAT3 nucleus translocation and activation.

Effects of intrathecal pemetrexed on the survival of patients with leptomeningeal metastasis from lung adenocarcinoma: a propensity score matching analysis.

PURPOSE: To explore the impact of intrathecal pemetrexed (IP) on the survival of lung adenocarcinoma (LUAC) patients with leptomeningeal metastasis (LM). METHODS: We analyzed patients with LUAC and LM who received systemic therapy after LM diagnosis at the Fujian Cancer Hospital between July 2018 and March 2022. Patients who underwent IP were assigned to the IP group; those without IP treatment were designated as the non-IP group. Propensity score matching (PSM) was performed between the two groups. RESULTS: 165 patients were enrolled: 83 and 82 in the IP and non-IP groups, respectively. After 1:1 PSM, we included 114 patients in the matched cohort. Median overall survival (OS) was 13.2 months (95% CI 10.8-15.6 months) in the IP group versus 10.1 months (95% CI 5.3-14.9 months) in the non-IP group (P = 0.488). Only Eastern Cooperative Oncology Group Performance Status (ECOG PS) was confirmed as an independent predictor for OS in the matched cohort (hazard ratio (HR) 2.03; P = 0.023). Multivariate competing-risks analysis showed that IP significantly correlated with central nervous system-related death (HR 0.31; P = 0.046). When stratified by ECOG PS, IP improved survival in patients with poor ECOG PS (PS = 2) (14.3 months vs. 1.6 months; P = 0.003). CONCLUSIONS: Intrathecal pemetrexed did not enhance OS for the entire LUAC patient with LM compared to non-intrathecal chemotherapy. However, it exhibited the potential to reduce the risk of central nervous system-related mortality and improve survival in patients with poor ECOG PS.

A lubricant and adhesive hydrogel cross-linked from hyaluronic acid and chitosan for articular cartilage regeneration.

Trauma-induced articular cartilage damages are common in clinical practice. Hydrogels have been used to fill the cartilage defects and act as extracellular matrices for cell migration and tissue regeneration. Lubrication and stability of the filler materials are essential to achieve a satisfying healing effect in cartilage regeneration. However, conventional hydrogels failed to provide a lubricous effect, or could not anchor to the wound to maintain a stable curing effect. Herein, we fabricated dually cross-linked hydrogels using oxidized hyaluronic acid (OHA) and N-(2-hydroxypropyl)-3-trimethylammonium chitosan chloride (HTCC) methacrylate (HTCCMA). The OHA/HTCCMA hydrogels, which were dynamically cross-linked and then covalently cross-linked by photo-irradiation, showed appropriate rheological properties and self-healing capability. The hydrogels exhibited moderate and stable tissue adhesion property due to formation of dynamic covalent bonds with the cartilage surface. The coefficient of friction values were 0.065 and 0.078 for the dynamically cross-linked and double-cross-linked hydrogels, respectively, demonstrating superior lubrication. In vitro studies showed that the hydrogels had good antibacterial ability and promoted cell proliferation. In vivo studies confirmed that the hydrogels were biocompatible and biodegradable, and exhibited a robust regenerating ability for articular cartilage. This lubricant-adhesive hydrogel is expected to be promising for the treatment of joint injuries as well as regeneration.

Ganoderma lucidum polysaccharide inhibits HSC activation and liver fibrosis via targeting inflammation, apoptosis, cell cycle, and ECM-receptor interaction mediated by TGF-ß/Smad signaling.

BACKGROUND: Ganoderma lucidum polysaccharide (GLP) has many biological properties, however, the anti-fibrosis effect of GLP is unknown at present. PURPOSE: This study aimed to examine the anti-fibrogenic effect of GLP and its underlying molecular mechanisms in vivo and in vitro. STUDY DESIGN: Both CCl4-induced mouse and TGF-ß1-induced HSC-T6 cellular models of fibrosis were established to examine the anti-fibrogenic effect of a water-soluble GLP (25 kDa) extracted from the sporoderm-removed spores of G. lucidum.. METHOD: Serum markers of liver injury, histology and fibrosis of liver tissues, and collagen formation were examined using an automatic biochemical analyzer, H&E staining, Sirius red staining, immunohistochemistry, immunofluorescence, ELISA, Western blotting, and qRT-PCR. RNA-sequencing, enrichment pathway analysis, Western blotting, qRT-PCR, and flow cytometry were employed to identify the potential molecular targets and signaling pathways that are responsible for the anti-fibrotic effect of GLP. RESULTS: We showed that GLP (150 and 300 mg/kg) significantly inhibited hepatic fibrogenesis and inflammation in CCl4-treated mice as mediated by the TLR4/NF-κB/MyD88 signaling pathway. We further demonstrated that GLP significantly inhibited hepatic stellate cell (HSCs) activation in mice and in TGF-ß1-induced HSC-T6 cells as manifested by reduced collagen I and a-SMA expressions. RNA-sequencing uncovered inflammation, apoptosis, cell cycle, ECM-receptor interaction, TLR4/NF-κB, and TGF-ß/Smad signalings as major pathways suppressed by GLP administration. Further studies demonstrated that GLP elicits anti-fibrotic actions that are associated with a novel dual effect on apoptosis in vivo (inhibit) or in vitro (promote), suppression of cell cycle in vivo, induction of S phase arrest in vitro, and attenuation of ECM-receptor interaction-associated molecule expressions including integrins ITGA6 and ITGA8. Furthermore, GLP significantly inhibited the TGF-ß/Smad signaling in mice, and reduced TGF-ß1 or its agonist SRI-011381-induced Smad2 and Smad3 phosphorylations, but increased Samd7 expression in HSC-T6 cells. CONCLUSION: This study provides the first evidence that GLP could be a promising dietary strategy for treating liver fibrosis, which protects against liver fibrosis and HSC activation through targeting inflammation, apoptosis, cell cycle, and ECM-receptor interactions that are mediated by TGF-ß/Smad signaling.

Characterization and phylogenetic analysis of the complete mitochondrial genome sequence of Photinia serratifolia.

Plant mitochondrial genomes (mitogenomes) are a valuable source of genetic information for a better understanding of phylogenetic relationships. However, no mitogenome of any species in the genus of Photinia has been reported. In this study, using NGS sequencing, we reported the mitogenome assembly and annotation of Photinia serratifolia, which is 473,579 bp in length, contains 38 protein-coding genes, 23 tRNAs, and 6 rRNAs, with 61 genes have no introns. The rps2 and rps11 genes are missing in the P. serratifolia mitogenome. Although there are more editing sites (488) in the P. serratifolia mitogenome than in most angiosperms, fewer editing types were found in the P. serratifolia mitogenome, showing a clear bias in RNA-editing. Phylogenetic analysis based on the mitogenomes of P. serratifolia and 8 other taxa of the Rosaceae family reflected the exact evolutionary and taxonomic status of P. serratifolia. However, Ka/Ks analysis revealed that 72.69% of the protein-coding genes in the P. serratifolia mitogenome had undergone negative selections, reflecting the importance of those genes in the P. serratifolia mitogenome. Collectively, these results will provide valuable information for the evolution of P. serratifolia and provide insight into the evolutionary relationships within Photinia and the Rosaceae family.

PPI Identification of Immune-Related Biomarkers in Esophageal Cancer on the Basis of Gene Co-Expression Network.

Background: The mortality rate of esophageal cancer is on the continuous increase. Fortunately, with the development of immunotherapy, the prognosis and survival rate of patients with esophageal cancer have been improved gradually. Objective: Immune markers have a crucial part in immunotherapy. Therefore, it is of great meaning to delve further into immune-related biomarkers of esophageal cancer for better treatment. Materials and Methods: In this study, gene co-expression networks were established using weighted gene co-expression network analysis, thus forming gene modules with different clusters. The tumor immune microenvironment was assessed with the ESTIMATE algorithm. Results: Analysis of the module Eigen gene -immune score trait indicated that the black module was markedly associated with immune score, with the top 80 genes regarding correlation ranking as the candidate hub gene set. Enrichment analysis revealed that genes within the black module were primarily enriched in tumor immune-related functions. To mine the hub genes that were closely connected with immunity, protein-protein interaction networks were constructed by STRING for genes within the black module, and genes with the interaction score top10 were retained. They were intersected with hub genes to finally obtain four hub genes: CCR5, LCP2, PTPRC and TYROBP. The samples were divided into high- and low-expression groups by the median expression of hub gene, and survival analysis was performed in combination with clinical information. The results revealed that the high-expression groups of genes LCP2 and PTPRC had a poor prognosis. TIMER immune cell infiltration analysis revealed that the expression levels of the 4 hub genes were positively correlated with immune cell infiltration and negatively correlated with tumor purity. In addition, these 4 hub genes were correlated with the expression of immune checkpoint genes CTLA-4 and PDCD1 positively. Gene set enrichment analysis enrichment analysis demonstrated that there were differences in tumor immunity and cancer-related pathways between high and low expression of 4 hub genes. Conclusion: Altogether, we identified four biomarkers that may have connection with tumor immunity, and speculated that these genes may influence patient prognosis by affecting pathways related to esophageal cancer immunity. This study will pave the way for the research of immune mechanisms of esophageal cancer and the analysis of patient's prognosis.

NAG-1/GDF15 inhibits diabetic nephropathy via inhibiting AGE/RAGE-mediated inflammation signaling pathways in C57BL/6 mice and HK-2 cells.

AIMS: Our previous studies showed that the nonsteroidal anti-inflammatory drug-activated gene-1, or growth differentiation factor-15 (NAG-1/GDF15) inhibits obesity and diabetes in mice. The current study aimed to examine the role and molecular mechanisms of NAG-1/GDF15 in diabetic nephropathy (DN), which is largely unknown. MAIN METHODS: Both male and female wild-type (Wt) C57BL/6 mice and mice overexpressing human NAG-1/GDF15 (transgenic, Tg) were used, which were induced by high-fat diet (HFD)/streptozotocin (STZ) to establish the mouse model of DN. Transcriptome study was performed to identify the underlying molecular mechanisms of NAG-1/GDF15 against DN. In addition, human renal tubular epithelial cells (HK-2) were cultured with high glucose (HG) to establish a DN cellular model and were treated with NAG-1/GDF15 plasmid or the recombinant NAG-1/GDF15 protein for mechanism studies. KEY FINDINGS: Overexpression of NAG-1/GDF15 in Tg mice significantly alleviated HFD/STZ-induced typical symptoms of DN, improved lipid homeostasis, glucose intolerance, and insulin sensitivity. Histopathology of renal tissues revealed that NAG-1/GDF15 mice had significantly reduced renal injury, glycogen deposition, and renal fibrosis. Transcriptome study uncovered inflammation, cell adhesion, and the inflammation-related signaling pathways as major pathways suppressed in the NAG-1/GDF15 mice. Further studies demonstrated that NAG-1/GDF15 overexpression inhibited renal and systematic inflammation, inhibited the AGE/RAGE axis and its associated downstream inflammatory molecules and adhesion molecules, and inhibited the upregulation of TLR4/MyD88/NF-κB signaling pathway in mice. These results were further confirmed in HG-induced HK-2 cells. SIGNIFICANCE: NAG-1/GDF15 plays an important role in the inhibition of the development and progression of DN via targeting AGE/RAGE-mediated inflammation pathways.

Overexpression of NAG-1/GDF15 prevents hepatic steatosis through inhibiting oxidative stress-mediated dsDNA release and AIM2 inflammasome activation.

Mitochondrial dysfunction and oxidative stress-mediated inflammasome activation play critical roles in the pathogenesis of the non-alcoholic fatty liver disease (NAFLD). Non-steroidal anti-inflammatory drug (NSAID)-activated gene-1 (NAG-1), or growth differentiation factor-15 (GDF15), is associated with many biological processes and diseases, including NAFLD. However, the role of NAG-1/GDF15 in regulating oxidative stress and whether this process is associated with absent in melanoma 2 (AIM2) inflammasome activation in NAFLD are unknown. In this study, we revealed that NAG-1/GDF15 is significantly downregulated in liver tissues of patients with steatosis compared to normal livers using the Gene Expression Omnibus (GEO) database, and in free fatty acids (FFA, oleic acid/palmitic acid, 2:1)-induced HepG2 and Huh-7 cellular steatosis models. Overexpression of NAG-1/GDF15 in transgenic (Tg) mice significantly alleviated HFD-induced obesity and hepatic steatosis, improved lipid homeostasis, enhanced fatty acid ß-oxidation and lipolysis, inhibited fatty acid synthesis and uptake, and inhibited AIM2 inflammasome activation and the secretion of IL-18 and IL-1ß, as compared to their wild-type (WT) littermates without reducing food intake. Furthermore, NAG-1/GDF15 overexpression attenuated FFA-induced triglyceride (TG) accumulation, lipid metabolism deregulation, and AIM2 inflammasome activation in hepatic steatotic cells, while knockdown of NAG-1/GDF15 demonstrated opposite effects. Moreover, NAG-1/GDF15 overexpression inhibited HFD- and FFA-induced oxidative stress and mitochondrial damage which in turn reduced double-strand DNA (dsDNA) release into the cytosol, while NAG-1/GDF15 siRNA showed opposite effects. The reduced ROS production and dsDNA release may be responsible for attenuated AIM2 activation by NAG-1/GDF15 upon fatty acid overload. In conclusion, our results provide evidence that other than regulating lipid homeostasis, NAG-1/GDF15 protects against hepatic steatosis through a novel mechanism via suppressing oxidative stress, mitochondrial damage, dsDNA release, and AIM2 inflammasome activation.

Growth differentiation factor-15 overexpression promotes cell proliferation and predicts poor prognosis in cerebral lower-grade gliomas correlated with hypoxia and glycolysis signature.

AIMS: Growth differentiation factor-15 (GDF15) plays complex and controversial roles in cancer. In this study, the prognostic value and the exact biological function of GDF15 in cerebral lower-grade gliomas (LGGs) and its potential molecular targets were examined. MAIN METHODS: Wilcoxon signed-rank test and logistic regression were applied to analyze associations between GDF15 expression and clinical characteristics using the Cancer Genome Atlas (TCGA) database. Overall survival was analyzed using Kaplan-Meier and Cox analyses. Gene set enrichment analysis (GSEA) and the hypoxia risk model was conducted to identify the potential molecular mechanisms underlying the effects of GDF15 on LGGs tumorigenesis. The biological function of GDF15 was examined using gain- and loss-of-function experiments, and a recombinant hGDF15 protein in LGG SW1783 cells in vitro. KEY FINDINGS: We found that higher GDF15 expression is associated with poor clinical features in LGG patients, and an independent risk factor for overall survival among LGG patients. GSEA results showed that the poor prognostic role of GDF15 in LGGs is related to hypoxia and glycolysis signatures, which was further validated using the hypoxia risk model. Furthermore, GDF15 overexpression facilitated cell proliferation, while GDF15 siRNA inhibits cell proliferation in LGG SW1783 cells. In addition, GDF15 was upregulated upon CoCl2 treatment which induces hypoxia, correlating with the upregulation of the expressions of HIF-1α and glycolysis-related key genes in SW1783 cells. SIGNIFICANCE: GDF15 may promote LGG tumorigenesis that is associated with the hypoxia and glycolysis pathways, and thus could serve as a promising molecular target for LGG prevention and therapy.

NAG-1/GDF15 protects against streptozotocin-induced type 1 diabetes by inhibiting apoptosis, preserving beta-cell function, and suppressing inflammation in pancreatic islets.

The loss of functional insulin-producing ß-cells is a hallmark of type 1 diabetes mellitus (T1DM). Previously, we reported that the non-steroidal anti-inflammatory drug activated gene-1, or growth differentiation factor-15 (NAG-1/GDF15) inhibits obesity and improves insulin sensitivity in both genetic and dietary-induced obese mice. However, the regulatory role of NAG-1/GDF15 in the structure and function of ß-cells and the prevention of T1DM is largely unknown. In the current study, we reported that NAG-1/GDF15 transgenic (Tg) mice are resistant to diabetogenesis induced by multiple low-dose streptozotocin (MLD-STZ) treatment. NAG-1/GDF15 overexpression significantly reduced diabetes incidence, alleviated symptoms of T1DM, and improved MLD-STZ-induced glucose intolerance and insulin resistance. Both the mass and function of pancreatic ß cells were preserved in the NAG-1/GDF15 Tg mice as evidenced by significantly increased islet area and insulin production. The mechanistic study revealed that NAG-1/GDF15 significantly inhibited STZ-induced apoptosis and preserved the reduction of proliferation in the islets of the Tg mice as compared to the wild-type (WT) mice upon MLD-STZ treatment. Additionally, NAG-1/GDF15 significantly reduced both the serum and islet levels of the inflammatory cytokines (IL-1ß, IL-6, and TNFα), and reduced the expression of NF-κB expression and immune cells infiltration in the islets. Collectively, these results indicate that NAG-1/GDF15 is effective in improving STZ-induced glucose intolerance, probably was mediated via suppressing inflammation, inhibiting apoptosis, and preserving ß-cell mass and function.

Cisplatin resistance of NSCLC cells involves upregulation of visfatin through activation of its transcription and stabilization of mRNA.

Non-small cell lung cancer (NSCLC) is one of the prevalent and deadly cancers worldwide. Cisplatin (CDDP) has been used as a standard adjuvant therapy for advanced NSCLC patients, while chemoresistance is one of the most challenging problems to limit its clinical application. Our data showed that the expression of visfatin was significantly increased in CDDP resistant NSCLC cells as compared with that in their parental cells, while knockdown of visfatin or its neutralization antibody can restore the CDDP sensitivity of resistant NSCLC cells. The upregulation of visfatin in CDDP resistant NSCLC cells was due to the increased mRNA stability and promoter activity. Further, we found that signal transducer and activator of transcription 3 (STAT3), which was increased in chemoresistant cells, can increase the transcription of visfatin. While tristetraprolin (TTP), which can decease mRNA stability of visfatin, was decreased in chemoresistant cells. Inhibition of STAT3 or over expression of TTP can restore CDDP sensitivity of resistant NSCLC cells. Collectively, our data showed that STAT3 and TTP-regulated expression of visfatin was involved in CDDP resistance of NSCLC cells. It indicated that targeted inhibition of visfatin should be a potential approach to overcome CDDP resistance of NSCLC treatment.

miR-9-5p Promotes Lung Adenocarcinoma Cell Proliferation, Migration and Invasion by Targeting ID4.

Objectives Evidence reveals that microRNAs (miRNAs) are abnormally expressed in lung adenocarcinoma (LUAD) tissue and are crucial in LUAD occurrence. Therefore, this study aims to find the miRNA which could regulate LUAD and to further explore its regulatory mechanism, thus providing a potential molecular target for LUAD. Methods miR-9-5p and ID4 expression in LUAD cells were measured by real-time quantitative PCR and western blot. Cell functional assays were conducted to detect the biological functions of LUAD cells. A dual-luciferase reporter assay was utilized to validate the binding relationship between miR-9-5p and ID4. Results miR-9-5p was highly expressed whereas ID4 was lowly expressed in LUAD. miR-9-5p facilitated LUAD cell progression by targeting ID4. Conclusion miR-9-5p promotes LUAD cell progression by modulating ID4 and may become a potential target for LUAD.

Long non-coding RNA OIP5-AS1 promotes the progression of esophageal cancer by regulating miR-30a/VOPP1 expression.

Long non-coding RNAs (lncRNAs) serve an important role in the development of esophageal cancer (EC), which is the eighth most common type of cancer worldwide. lncRNA opa-interacting protein 5 antisense transcript 1 (OIP5-AS1) is associated with human malignancy. However, the biological roles of OIP5-AS1 in the development of EC remain unclear. In the present study, transfection was conducted, and reverse transcription-quantitative PCR and western blot analysis were used for the detection of mRNA and protein expression, respectively. Furthermore, dual-luciferase reporter and RNA immunoprecipitation assays were used to study the interaction between miRNA and lncRNA or genes. The results revealed that OIP5-AS1 expression in EC tissues and cultured EC cells was upregulated, microRNA-30a (miR-30a) expression was downregulated. OIP5-AS1-knockdown suppressed the proliferation, migration and invasion of EC9706 and EC109 cells. miR-30a was confirmed to interact with OIP5-AS1, and miR-30a-mimics transfection ameliorated the effects of OIP5-AS1 in EC cells. Vesicular overexpressed in cancer prosurvival protein 1 (VOPP1) was verified as the direct target of miR-30a. VOPP1 expression was positively correlated with OIP5-AS1 expression in EC cells. Overexpression of VOPP1 ameliorated the negative effects of OIP5-AS1-knockdown on EC9706 and EC109 cells. In conclusion, OIP5-AS1 promoted the proliferation, migration and invasion of EC cells by increasing VOPP1 expression by sponging miR-30a.

Assessment of tumor mutation burden calculation from gene panel sequencing data.

Background: High tumor mutation burden (TMB) is an emerging selection biomarker for immune checkpoint blockade in tumors such as melanoma and non-small cell lung cancer. TMB is typically calculated from whole genome sequencing or whole exome sequencing (WES) data. Recently, clinical trials showed that TMB can also be estimated from targeted sequencing of a panel of only a few hundred genes of interest, which can be performed at a high depth for clinical applications.  Materials and methods: In this study, we systematically investigated the distribution of TMB and preferences at the gene and mutation level, as well as the correlation between TMB calculated by WES and panel sequencing data using somatic mutation data from 15 cancer types from The Cancer Genome Atlas (TCGA).  Results: We proposed a pan-cancer TMB panel and demonstrated that it had a higher correlation with WES than other panels. Our panel could serve as a reference data-set for TMB-oriented panel design to identify patients for immunotherapy.