The tumor immune microenvironment of nasopharyngeal carcinoma after gemcitabine plus cisplatin treatment.

Gemcitabine plus cisplatin (GP) chemotherapy is the standard of care for nasopharyngeal carcinoma (NPC). However, the mechanisms underpinning its clinical activity are unclear. Here, using single-cell RNA sequencing and T cell and B cell receptor sequencing of matched, treatment-naive and post-GP chemotherapy NPC samples (n = 15 pairs), we show that GP chemotherapy activated an innate-like B cell (ILB)-dominant antitumor immune response. DNA fragments induced by chemotherapy activated the STING type-I-interferon-dependent pathway to increase major histocompatibility complex class I expression in cancer cells, and simultaneously induced ILB via Toll-like receptor 9 signaling. ILB further expanded follicular helper and helper type 1 T cells via the ICOSL-ICOS axis and subsequently enhanced cytotoxic T cells in tertiary lymphoid organ-like structures after chemotherapy that were deficient for germinal centers. ILB frequency was positively associated with overall and disease-free survival in a phase 3 trial of patients with NPC receiving GP chemotherapy ( NCT01872962 , n = 139). It also served as a predictor for favorable outcomes in patients with NPC treated with GP and immunotherapy combined treatment (n = 380). Collectively, our study provides a high-resolution map of the tumor immune microenvironment after GP chemotherapy and uncovers a role for B cell-centered antitumor immunity. We also identify and validate ILB as a potential biomarker for GP-based treatment in NPC, which could improve patient management.

A Novel Sensor for Undrained Shear Strength Measurement in Very Soft to Soft Marine Sediments Based on Optical Frequency Domain Reflectometry Technology.

Due to the short supply of conventional fill materials, such as sand, land reclamation using dredged marine deposits has recently been proposed, in which marine deposits with high water content are blow-filled into reclaiming areas. The strength development of the filled marine soils is of great importance during the sedimentation and consolidation to guide the filling process and construction of reclamation. In this study, a novel sensor based on optical frequency domain reflectometry (OFDR) technology with a simple design was developed for undrained shear strength measurement. The novel sensor consists of an optical fiber and a series of polyoxymethylene coins. Owing to the merits of OFDR technology on high resolution, fully distributed sensing, and immunity to electromagnetic interference, the novel sensor can be used to determine undrained shear strength profiles of very soft to soft marine sediments/soils with good accuracy. The sensor was calibrated in remolded marine deposits with different water contents. The good feasibility and performance of the novel sensor for undrained shear strength measurement were well validated in two physical model tests on marine deposits treated by horizontal drains with vacuum preloading.

Chord: an ensemble machine learning algorithm to identify doublets in single-cell RNA sequencing data.

High-throughput single-cell RNA sequencing (scRNA-seq) is a popular method, but it is accompanied by doublet rate problems that disturb the downstream analysis. Several computational approaches have been developed to detect doublets. However, most of these methods may yield satisfactory performance in some datasets but lack stability in others; thus, it is difficult to regard a single method as the gold standard which can be applied to all types of scenarios. It is a difficult and time-consuming task for researchers to choose the most appropriate software. We here propose Chord which implements a machine learning algorithm that integrates multiple doublet detection methods to address these issues. Chord had higher accuracy and stability than the individual approaches on different datasets containing real and synthetic data. Moreover, Chord was designed with a modular architecture port, which has high flexibility and adaptability to the incorporation of any new tools. Chord is a general solution to the doublet detection problem.

Identification and Validation of QTLs for Macronutrient Contents in Brown and Milled Rice Using Two Backcross Populations between Oryza sativa and O. rufipogon.

Mineral malnutrition as a prevalent public health issue can be alleviated by increasing the intake of dietary minerals from major staple crops, such as rice. Identification of the gene responsible for mineral contents in rice would help breed cultivars enriched with minerals through marker-assisted selection. Two segregating populations of backcross inbred lines (BIL) were employed to map quantitative trait loci (QTLs) for macronutrient contents in brown and milled rice, BC1F5, and BC2F4:5 derived from an interspecific cross of Xieqingzao B (Oryza sativa) and Dongxiang wild rice (O. rufipogon). Phenotyping the populations was conducted in multiple locations and years, and up to 169 DNA markers were used for the genotyping. A total of 17 QTLs for P, K, Na, Ca, and Mg contents in brown and milled rice distributed on eight regions were identified in the BC1F5 population, which is explained to range from 5.98% to 56.80% of phenotypic variances. Two regions controlling qCa1.1 and qCa4.1 were validated, and seven new QTLs for Ca and Mg contents were identified in the BC2F4:5 population. 18 of 24 QTLs were clustered across seven chromosomal regions, indicating that different mineral accumulation might be involved in common regulatory pathways. Of 24 QTLs identified in two populations, 16 having favorable alleles were derived from O. rufipogon and 10 were novel. These results will not only help understand the molecular mechanism of macronutrient accumulation in rice but also provide candidate QTLs for further gene cloning and grain nutrient improvement through QTL pyramiding.

Fluorescence imaging and Raman spectroscopy applied for the accurate diagnosis of breast cancer with deep learning algorithms.

Deep learning is usually combined with a single detection technique in the field of disease diagnosis. This study focused on simultaneously combining deep learning with multiple detection technologies, fluorescence imaging and Raman spectroscopy, for breast cancer diagnosis. A number of fluorescence images and Raman spectra were collected from breast tissue sections of 14 patients. Pseudo-color enhancement algorithm and a convolutional neural network were applied to the fluorescence image processing, so that the discriminant accuracy of test sets, 88.61%, was obtained. Two different BP-neural networks were applied to the Raman spectra that mainly comprised collagen and lipid, so that the discriminant accuracy of 95.33% and 98.67% of test sets were gotten, respectively. Then the discriminant results of fluorescence images and Raman spectra were counted and arranged into a characteristic variable matrix to predict the breast tissue samples with partial least squares (PLS) algorithm. As a result, the predictions of all samples are correct, with minor error of predictive value. This study proves that deep learning algorithms can be applied into multiple diagnostic optics/spectroscopy techniques simultaneously to improve the accuracy in disease diagnosis.

Evaluating the environmental impact of contaminated sediment column stabilized by deep cement mixing.

Deep cement mixing (DCM) method is a widely used geotechnical technique for increasing ground stabilization before construction works. However, the environmental influence of stabilized ground on the surrounding area remains a concern. A physical model experiment of DCM-treated sediment column was conducted to investigate both geotechnical and environmental effects on the surrounding sediment. The DCM column contained the cement-stabilized contaminated sediment and surrounded by uncontaminated sediment. The physical behaviour, including settlement, pore water pressure, and total pressure were measured under different loadings. Simultaneously, the migration of the major ions into seawater, and leaching of potentially toxic elements into the surrounding sediment were evaluated. The results revealed that the leaching of major ions from the DCM column followed the dissipation of excess pore water and migrated to the seawater above the sediment surface. Nevertheless, the leaching behaviour of potentially toxic elements into the surrounding sediment and variation of pH value after the DCM treatment were within an acceptable level. Therefore, the contaminated marine sediment could be effectively stabilized and solidified by in-situ remediation with minimal secondary pollution to the surrounding environment.

Single-cell transcriptomics reveals regulators underlying immune cell diversity and immune subtypes associated with prognosis in nasopharyngeal carcinoma.

Nasopharyngeal carcinoma (NPC) is an aggressive malignancy with extremely skewed ethnic and geographic distributions. Increasing evidence indicates that targeting the tumor microenvironment (TME) represents a promising therapeutic approach in NPC, highlighting an urgent need to deepen the understanding of the complex NPC TME. Here, we generated single-cell transcriptome profiles for 7581 malignant cells and 40,285 immune cells from fifteen primary NPC tumors and one normal sample. We revealed malignant signatures capturing intratumoral transcriptional heterogeneity and predicting aggressiveness of malignant cells. Diverse immune cell subtypes were identified, including novel subtypes such as CLEC9A+ dendritic cells (DCs). We further revealed transcriptional regulators underlying immune cell diversity, and cell-cell interaction analyses highlighted promising immunotherapeutic targets in NPC. Moreover, we established the immune subtype-specific signatures, and demonstrated that the signatures of macrophages, plasmacytoid dendritic cells (pDCs), CLEC9A+ DCs, natural killer (NK) cells, and plasma cells were significantly associated with improved survival outcomes in NPC. Taken together, our findings represent a unique resource providing in-depth insights into the cellular heterogeneity of NPC TME and highlight potential biomarkers for anticancer treatment and risk stratification, laying a new foundation for precision therapies in NPC.

CT and MRI findings in relapsing primary malignant melanoma of the lacrimal sac: a case report and brief literature review.

BACKGROUND: Primary lacrimal sac melanoma is an extremely rare condition with fewer than 50 cases reported so far. Clinically, its symptoms resemble those of dacryocystitis, leading to frequent misdiagnosis. During diagnosis, imaging examination is often performed to differentiate tumors from inflammation. In this report, we present a case of primary lacrimal sac melanoma and summarize the CT and MRI characteristics of lacrimal sac melanoma. CASE PRESENTATION: We report a 50-year-old female patient who had undergone a dacryocystectomy for the left lacrimal sac mass. Postoperative pathological examination confirmed the presence of primary malignant melanoma. Three months later, a lump in the lacrimal sac area was found. The patient underwent CT and MR examinations. CT scan demonstrated a partially well-defined soft mass in the fossa of left lacrimal sac extending into the nasolacrimal duct and anterior ethmoid sinus. MRI revealed an intermediate signal intensity on T1 and iso-or hyper-signal on T2 weighted images. Histopathological examination on biopsy confirmed recurrence of primary lacrimal sac melanoma. DISCUSSION AND CONCLUSIONS: None has described the CT and MR findings of primary lacrimal sac melanoma so far. Typically, MR images show hyperintensity signal on T1-weighted images and hypointense signal on T2-weighted images owing to the paramagnetic properties of melanin. In contrast to previous reports and the present case, most cases do not present these typical signals. Thus, reporting such radiological findings is important to create awareness on variant images of primary lacrimal sac melanoma. This will reduce misdiagnosis and mistreatment.

The prevalence rates of major chronic diseases in retired and in-service Chinese military officers (2000-2016): a meta-analysis.

BACKGROUND: Chronic diseases cause a tremendous burden to the military medical system. However, the prevalence rates of major chronic diseases among military officers remain unclear in China. METHODS: China National Knowledge Infrastructure (CNKI), Wanfang Database, VIP Database for Chinese Technical Periodicals (VIP), PubMed and Web of Science were searched for studies (from 2000 to 2016) concerning 6 major chronic diseases: hypertension, hyperlipidemia, diabetes mellitus, heart diseases, cerebrovascular diseases, and chronic obstructive pulmonary diseases (COPD) in Chinese military officers following strict inclusion and exclusion criteria. Three researchers independently extracted data from the included studies, and a fourth researcher reviewed and solved every disagreement. Statistical analysis was performed with STATA 14.0 and R 3.3.2. Heterogeneity was evaluated by the I 2 value. A random effect model was performed to combine the heterogeneous data. The Egger test was performed to test the publication bias. RESULTS: A total of 90,758 military officers derived from 75 articles were pooled together. Publication bias was only observed in 37 studies reporting heart disease (P Egger test = 0.01). The overall prevalence rates of hypertension, hyperlipidemia, diabetes mellitus, heart diseases, cerebrovascular diseases, and COPD were 46.6% (95% CI 41.8-51.5%), 30.9% (26.4-35.7%), 20.7% (16.5-25.7%), 48.2% (41.7-54.9%), 20.2% (14.8-26.9%) and 16.6% (12.9-21.0%), respectively. The prevalence rates of hypertension, diabetes, heart disease, cerebrovascular disease, and COPD, rather than hyperlipidemia, increased with age in Chinese military officers. Heart diseases (P Q-test  < 0.001) and hypertension (P Q-test  < 0.001) increased sharply in retired officers compared with officers in service. Cerebrovascular disease was more frequent in Northern Theater Command than in any other theater command (P Q-test  < 0.001). CONCLUSIONS: Major chronic diseases heavily affect Chinese military officers, especially retirees. Medical intervention should be enforced on the prevention of cerebrovascular diseases in those working in cold areas in the north, as well as hypertension and heart diseases in retirees.

Prediction and prophylaxis of hepatocellular carcinoma occurrence and postoperative recurrence in chronic hepatitis B virus-infected subjects.

Hepatocellular carcinoma (HCC) is one of the most common and highly fatal malignancies worldwide. Chronic infection with hepatitis B virus (HBV) is a major cause of HCC. High HBV replication rate and related non-resolving inflammation are the major risk factors of HCC occurrence and postoperative recurrence. Early prophylactic options are effective in reducing HCC occurrence and improving survival. Therefore, it is important to identify HBV-infected patients who are at a higher risk of developing HCC and HBV-HCC patients who are more likely to relapse after surgery, thus providing them with more precise prophylactic strategies. Several prediction models of HCC occurrence have been constructed, with satisfactory predictive accuracy and discriminatory ability. However, there is a lack of consensus for their clinical implementation. Several staging systems have been proposed for HCC prognosis. However, the accuracy of these staging systems based on demographic characteristics and clinical measurements needs to be further improved, possibly by systematically incorporating viral and inflammatory factors. Since antiviral treatments are effective in promoting liver function reserve, reducing HCC occurrence and prolonging postoperative survival in some HBV-infected subjects, it is very important to identify subgroups of HBV-infected patients who would most benefit from antiviral treatment.

Discrimination of healthy and osteoarthritic articular cartilage by Fourier transform infrared imaging and Fisher's discriminant analysis.

Fourier transform infrared spectroscopic imaging (FTIRI) technique can be used to obtain the quantitative information of content and spatial distribution of principal components in cartilage by combining with chemometrics methods. In this study, FTIRI combining with principal component analysis (PCA) and Fisher's discriminant analysis (FDA) was applied to identify the healthy and osteoarthritic (OA) articular cartilage samples. Ten 10-µm thick sections of canine cartilages were imaged at 6.25µm/pixel in FTIRI. The infrared spectra extracted from the FTIR images were imported into SPSS software for PCA and FDA. Based on the PCA result of 2 principal components, the healthy and OA cartilage samples were effectively discriminated by the FDA with high accuracy of 94% for the initial samples (training set) and cross validation, as well as 86.67% for the prediction group. The study showed that cartilage degeneration became gradually weak with the increase of the depth. FTIRI combined with chemometrics may become an effective method for distinguishing healthy and OA cartilages in future.

Systemic genome screening identifies the outcome associated focal loss of long noncoding RNA PRAL in hepatocellular carcinoma.

UNLABELLED: Systemic analyses using large-scale genomic profiles have successfully identified cancer-driving somatic copy number variations (SCNVs) loci. However, functions of vast focal SCNVs in "protein-coding gene desert" regions are largely unknown. The integrative analysis of long noncoding RNA (lncRNA) expression profiles with SCNVs in hepatocellular carcinoma (HCC) led us to identify the recurrent deletion of lncRNA-PRAL (p53 regulation-associated lncRNA) on chromosome 17p13.1, whose genomic alterations were significantly associated with reduced survival of HCC patients. We found that lncRNA-PRAL could inhibit HCC growth and induce apoptosis in vivo and in vitro through p53. Subsequent investigations indicated that the three stem-loop motifs at the 5' end of lncRNA-PRAL facilitated the combination of HSP90 and p53 and thus competitively inhibited MDM2-dependent p53 ubiquitination, resulting in enhanced p53 stability. Additionally, in vivo lncRNA-PRAL delivery efficiently reduced intrinsic tumors, indicating its potential therapeutic application. CONCLUSIONS: lncRNA-PRAL, one of the key cancer-driving SCNVs, is a crucial stimulus for HCC growth and may serve as a potential target for antitumor therapy.

[Study on the Anisotropy of Collagenours Fibers in Articular with Infrared Imaging].

Formalin solution has been widely used to solidify the organization of articular cartilage and prevent tissue decomposition in long-time measurement. However, it was rarely investigated that the structural anisotropy changes of collagen fiber (fixation) of articular cartilage when it was immersed in formalin. In this paper, Fourier transform infrared spectroscopic imaging with polarization technique was used to investigate the anisotropic structure change of collagen fiber of articular cartilage fixed in formalin through the absorbance change of Amide I and Amide II with immersing time and polarization direction. The degree of anisotropy of collagen fiber in cartilage was characterized with fitting related coefficient of absorbance. The anisotropy of Amide I and Amide II became stronger with immersing extension of articular cartilage in formalin, and the amide I showed more remarkable anisotropy. It was concluded that the formalin solution induced new crosslinks of collagen, which gradually strengthened the collagen fiber anisotropy and was helpful for the structural analysis of the articular cartilage. The study will be significant for the preparation, preservation and anisotropy research of cartilage specimen.

Discrimination of healthy and osteoarthritic articular cartilages by Fourier transform infrared imaging and partial least squares-discriminant analysis.

Fourier transform infrared imaging (FTIRI) combined with chemometrics algorithm has strong potential to obtain complex chemical information from biology tissues. FTIRI and partial least squares-discriminant analysis (PLS-DA) were used to differentiate healthy and osteoarthritic (OA) cartilages for the first time. A PLS model was built on the calibration matrix of spectra that was randomly selected from the FTIRI spectral datasets of healthy and lesioned cartilage. Leave-one-out cross-validation was performed in the PLS model, and the fitting coefficient between actual and predicted categorical values of the calibration matrix reached 0.95. In the calibration and prediction matrices, the successful identifying percentages of healthy and lesioned cartilage spectra were 100% and 90.24%, respectively. These results demonstrated that FTIRI combined with PLS-DA could provide a promising approach for the categorical identification of healthy and OA cartilage specimens.

Huachansu injection inhibits metastasis of pancreatic cancer in mice model of human tumor xenograft.

BACKGROUND: Huachansu injection (HCS) is a water-soluble preparation made from Bufo gargarizans's skin, which has been widely used in clinics for tumor therapy in China. Though the anti-cancer activity of HCS has been verified through studies in vitro and in vivo, there is little research about its potential anti-metastasis effect. The primary objective of this study was to assess the effects of HCS on both the invasion of pancreatic cancer cells in vitro and on the progression of liver metastasis in vivo in this study. METHODS: HCS anti-metastasis potential was accessed using both assay of Cell viability and invasion in vitro, and then further Establishing xenograft model in nude mice. In the cell-based assay, mRNA and protein expression of MMP-2, MMP-9 and VEGF was detected by semi-quantitative RT-PCR and western blotting. In animal experiment, liver metastasis nodules and change of liver-body ratio was observed. Meanwhile, correlation of the CA19-9 and CEA content in serum with the progression of liver metastasis was analyzed. RESULT: We observed that HCS prevented the invasion of cancer cells, with inhibiting the expressions of MMP-2 and MMP-9, and reduced not only the number of metastasis nodules but the ratio of liver-body weight as well. Furthermore, HCS decreased the expression of MMP-2, MMP-9 and VEGF in liver metastasis, while also reducing CA19-9 contents in serum. In addition, correlation analysis indicated that the level of CA19-9 in serum was closely related to the number of liver metastasis nodules. CONCLUSION: Our experimental results suggest that HCS has some anti-metastasis potential to suppress the growth of liver metastasis by decreasing the expression of MMP-2 and MMP-9 as well as VEGF.

[Applications and progress of Fourier transform infrared spectroscopic microimaging in bone disease research].

Fourier transform infrared spectroscopy (FTIRS) and microimaging technique have been integrated together to evolve into Fourier transform infrared spectroscopic imaging (FTIRI) system. This system can provide not only the morphological information of the sample by visible image and FTIR image, but also the abundant information on the spectral, component and structure of specimen by FTIRS, especially of the heterogeneous solid mixture. The richer and more visualized information obtained by FTIRI greatly raised the research efficiency and usability of the spectral technique in biomedicine, pharmacology, forensic medicine, material science and chemistry, etc. The present paper depicts FTIRI development process, system structure, imaging principle and mode selection; and then introduces that FTIRI opened a new area of investigation for biomedicine, namely, research on bone disease by FTIRI. Then the paper illustrates the related research findings and progress in FTIRI use for osteopetrosis, osteogenesis imperfecta, osteoporosis and osteomalacia, as well as a couple of limitations. The prospective study for FTIRI in biomedical research field is also addressed.

[Apoptosis of A549 cells induced by cloned Noxa gene].

OBJECTIVE: To clone the Noxa gene and to observe the apoptosis of A549 cells transfected with the recombinant plasmid of pcDNA-Noxa. METHODS: The Noxa gene was obtained by PCR, and was cloned into pcDNA3. 1(-). A549 cells were transfected with the recombinant plasmid of pcDNA-Noxa. Western blot analysis was performed to determine the overexpression of Noxa. A549 cells were stained with Hoechst 33258 to observe the apoptosis. RESULTS: The recombinant plasmid of pcDNA-Noxa was successfully constructed evidenced by endonuclease digestion and sequence analysis. The overexpression of Noxa was identified using Western blot analysis. The recombinant plasmid of pcDNA-Noxa induced apoptosis of A549 cells. CONCLUSION: Nora has exhibited potential pro-apoptotic activity against A549 cells. This study is a foundation for further research into pro-apoptotic activity of Noxa gene.

Spectroscopic studies on bilirubin aggregate at liquid/liquid interface.

Bilirubin (BR) aggregating at liquid/liquid interface was firstly detected by Fourier transform infrared (FTIR) imaging/spectroscopy combining with ultraviolet-visible (UV/Vis) absorption spectra. In the UV/Vis absorption spectra of BR aggregate, a new shoulder appeared at 474 nm, and BR absorption maximum underwent red shift from 450 nm to a longer wavelength at 497 nm, which indicates that BR aggregate was formed at the interface. Meanwhile, the BR molecule structure changed or conformation torsion, that is, the increase in orbit overlap or dihedral angle and the enhancement of exciton coupling. In the study of FTIR imaging/spectroscopy, the hydrogen bond-sensitive infrared bands of BR aggregate showed remarkable changes in band shift and intensity compared with those of BR powder, suggesting that the intramolecular hydrogen bonds broke out and internal structure changed. These new findings will be helpful for understanding of the BR molecular interaction, transportation, complex with serum albumin and metal ions, and the effect of BR aggregating on biomembrane and human tissues.

[Association of genetic polymorphisms of key molecules in JAK/STAT signaling pathway with susceptibility of hepatocellular carcinoma].

OBJECTIVE: To elucidate the association of genetic polymorphisms of key molecules in JAK/STAT signaling pathway with susceptibility of hepatocellular carcinoma (HCC). METHODS: A total of 367 HCC patients and 367 healthy controls were recruited in this sex- and age-matched case-control study. Genetic polymorphisms of IL-6 (rs1800796, -572C > G), STAT3 (rs744166, +26312T > C; rs3816769, +42240T > C; rs6503695, +40980T > C), EGFR (rs11543848, +142530A > G), and mTOR (rs7211818, +170278A > G; rs9674559, +196983A > G; rs11653499, +65678G > A) were genotyped using a mass spectrometry method. Odds ratio (OR) and 95% confidence interval (CI) were calculated. RESULTS: Genotype frequency of the 8 polymorphisms of IL-6, STAT3, EGFR, and mTOR were not significantly different between the patients with HCC and the controls. When stratified by sex, the female subjects who carried STAT3 +26312CC, +42240CC, or +40980CC had a decreased risk of HCC when compared to those who carried TT allele (OR = 0.192, 95%CI: 0.047 - 0.784; OR = 0.180, 95%CI: 0.045 - 0.725; OR = 0.198, 95%CI: 0.049 - 0.806, respectively). When compared with AA genotype on the site of EGFR +142530, the (AG + GG) genotype reduced the risk of HCC in women (OR = 0.422, 95%CI: 0.179 - 0.994). CONCLUSION: The polymorphisms of IL-6 (rs1800796) and mTOR (rs7211818, rs9674559, and rs11653499) were not associated with the HCC susceptibility. Those carrying CC allele in three loci (rs744166, rs3816769, and rs6503695) of STAT3 and (AG + GG) in rs11543848 of EGFR had a decreased risk of HCC in women. However, these results need to be validated using larger sample size.

Qingyihuaji formula inhibits progress of liver metastases from advanced pancreatic cancer xenograft by targeting to decrease expression of Cyr61 and VEGF.

OBJECTIVE: To observe the effects of Qingyihuaji formula (QYHJ) on the progression of liver metastases from human pancreatic cancer and to detect the expression changes of some biological factors associated with angiogenesis and metastasis during the development of advanced pancreatic cancer. METHODS: Nude mice were inoculated intrasplenically with human pancreatic cancer cell line SW1990 and then randomly assigned into 4 groups: a control group and groups QYHJ-A, QYHJ-B, and QYHJ-C. Following this, the mice were treated with or without QYHJ formula for 4 weeks and were sacrificed at the end of the sixth week. The changes in body weight were observed, followed by the livers being excised and weighed. Then, both the numbers and the volume of metastatic nodules per liver were evaluated. Subsequently, the expressions of MMPs, VEGF, and Cyr61 in the tissue of liver metastases were detected by reverse transcription polymerase chain reaction, immunohistochemistry, or Western blot. Finally, the correlation was evaluated between the expressions of the factors associated with metastasis and the growth of liver metastasis. RESULTS: Liver metastases were identified in 11 of 15 mice (73%) in the control group, 9 of 15 mice (60%) in group QYHJ-A, 6 of 14 mice (43%) in group QYHJ-B, and 8 of 14 mice (57%) in group QYHJ-C both the number and the volume of metastatic nodules per liver same as the ratio of liver-body weight in QYHJ groups were significantly less than the controlled group (P < 0.05). The expressions of Cyr61, MMP-2, and VEGF at the levels of mRNA and protein were decreased in the QYHJ groups when compared with the control, as confirmed by immunohistochemistry detection (P < .05). However, no significant difference was observed in the mRNA expression of MMP-1 and MMP-9 between the QYHJ groups and the control group (P > .05). Regression analysis indicated that QYHJ possessed an evident inhibition against the progression of liver metastasis by downregulating the expression of VEGF and Cyr61 rather than MMP-2. CONCLUSIONS: The QYHJ formula exerted an inhibitory effect on the growth of liver metastasis from pancreatic cancer, perhaps by targeting VEGF and Cyr61 to some extent.