Imaging Diagnosis and Interventional Treatment for Hepatocellular Carcinoma Combined with Arteriovenous Fistula

In order to explore the imaging diagnosis methods and interventional treatment effects of hepatocellular carcinoma combined with hepatic arteriovenous fistula (HAVF), a total of 120 patients, who were diagnosed as hepatic carcinoma with arteriovenous shunting and underwent medical imaging diagnosis and interventional surgery therapy at a designated hospital by this study from December 2014 to December 2018, were chosen as study subjects. Digital subtraction angiography was performed to analyze the imaging features of hepatocellular carcinoma combined with HAVF in each patient; then, according to these imaging diagnosis results, gelatin sponge or coil was used to block the fistula; mitomycin, carboplatin powder, and lipiodol mixed emulsion was combined or separately utilized for hepatic tumor embolization, in which iodized oil embolization chemotherapy was used for patients with mild paralysis; gelatin sponge granule embolization chemotherapy was used for moderate paralysis patients at their first intervention, and, after about 1 month, if the sputum disappeared, iodized oil embolization was used again; and hepatic arterial infusion chemotherapy was used only for patients with severe paralysis. The results show that the central type of HAVF is characterized by early angiography of portal vein and large branches and tumor staining after portal vein's angiography; the peripheral type of HAVF is characterized by portal vein branching in hepatic tumor and double rail sign accompanied by the arterial branch; 112 cases of patients completed embolization chemotherapy; 8 cases of patients only received chemotherapy perfusion; in 109 cases of patients sputum disappeared or shunt decreased at first treatment; and in 113 cases of patients iodine oil was well deposited or the tumor was stably reduced; most of the symptoms of refractory ascites, diarrhea, and upper gastrointestinal bleeding were controlled or improved, and there were no complications such as pulmonary embolism and hepatic failure. Therefore, HAVF increases the difficulty of interventional therapy, but, as long as the positive and appropriate treatment measures are taken, it can still achieve better curative effect without serious complications, which can effectively alleviate the clinical symptoms of patients and improve the quality of life of patients. The results of this study provide a reference for the further researches on imaging diagnosis and interventional treatment for hepatocellular carcinoma combined with arteriovenous fistula.

Abstract PS2-05: Genetic profiling for circulating tumor cell clusters to unveil molecular drivers of metastasis

Introduction: Although CTCs display the same spatial and temporal heterogeneity as the primary tumor, they represent a privileged window to disclose mechanisms of metastases. A portion of CTCs may form clusters that contain two or more CTCs bound together which were reported to have up to 50-fold of potential of forming distant metastasis in MBC as compared to individual CTCs (Aceto N. Cell, 2015). However, genomic characterization of CTCs-clusters compared to single CTCs remain largely unknown. We previously reported single CTC sequencing for HER2+ CTCs (2020 AACR #3120). Herein, we report a new finding of heterogeneity profiling for CTC-clusters compared to single CTCs, which would be helpful to evaluate the MBC metastasis capability and treatment in clinic. Methods: Whole blood sample (7.5ml/each) was collected from stage III/IV MBC patients before therapy. CTC enumeration was performed using the FDA-cleared CellSearch™ System (Menarini) targeting the EpCAM antigen for capturing CTCs which were then stained by Anti-CK-PE, DAPI, anti-CD45-APC and anti-HER2-FITC. The CTC-clusters and single CTCs were isolated using DEPArrayTM System (Menarini). DNA was isolated from CTC-clusters and single CTCs by ArcturusTM PicoPureTM DNA Extraction kit. The initial library was prepared by SMARTer® PicoPLEX® Gold Single Cell DNA-Seq Kit, and the exome capture was performed by Twist Human Core Exome EF Multiplex Complete Kit. The sequencing was prepared by NextSeq 500 mid output V2.5 kit and was performed on the NextSeq 500 (Illumina). It was a paired end run, 75×75 bps run with dual indexing. Results: We identified 107 CTCs by CellSearch™, including 93 single CTCs, 14 CTC-clusters and 145 WBCs. Autologous CTC-clusters (CK+DAPI+CD45-, Group 1), single CTCs (CK+DAPI+CD45-, Group 2), and leukocytes (CK-DAPI+CD45+, Group 3) were sequenced respectively. The sequencing data was processed following the GATK pipeline and annotated using SnpEff. There were 60,638 counts (6.77%) and 70,334 counts (8.20%) for exon variants in CTC-clusters and single CTCs respectively, 507,595 counts (56.69%) and 486,119 counts (56.69%) for intron variants, 194,026 (21.67%) and 175,819 counts (20.51%) for intergenic variants, 54,174 counts (6.05%) and 50,370 counts (5.87%) for downstream genes, 51,716 counts (5.78%) and 45,915 counts (5.36%) for upstream genes, and 3.04% and 3.37% of others variants in CTC-clusters and single CTCs respectively. Meanwhile, there was 0 count for exon and intron variants found in Group 3. There were 60 and 79 gene variants (SNP and Ins-Del) identified to have the highest impact effect (≥20) on CTC-clusters and single CTC exons respectively, which affect significantly on the functional proteins coding. Among the top 50 high impact gene variants in each group, there were 25 gene alteration sites were similar in Group 1 and 2, including XYLB, RAN, QPCT, HPGDS, HDAC8, GABBR2, CYP11B2 and CHKA. Specific to Group 1, there were 25 gene alterations which were primarily related to cellular proliferation and tumor promotion (AMD1), liver drug clearance (CES1), tissue remodeling (CHI3L1), immune cytokine signaling (JAK1) and metabolism (ASRGL1). Meanwhile, there are 25 specific gene alterations in Group 2 compared to Group 1, which were associated with nucleotide-excision repair (DDB1 and FAN1) chromosome positioning (KIF11), cell growth, differentiation, mitotic cycle, oncogenic transformation (PTPN3 and MAPK14), apoptosis (CASP1) and cell growth (CTNNB1). Conclusion: Genomic characterization of CTC-clusters compared to autologous single CTCs and leukocytes elucidated new specific gene alterations in CTC-clusters associated with most aggressive disease metastasis in MBC, which will help to gain new insights on the molecular mechanisms associated with the metastasis and find new molecularly driven therapies for disease metastasis.

Citation Format: Qiang Zhang, Lorenzo Gerratana, Paolo D'Amico, Andrew A. Davis, Saya Liz Jacob, Xinkun Wang, Zhe Ji, Zheng Cai, Elena Vagia, Wenan Qiang, Ami Shah, Youbin Zhang, Lisa Flaum, Firas Wehbe, Amir Behdad, William Gradishar, Leonidas Platanias, Massimo Cristofanilli. Genetic profiling for circulating tumor cell clusters to unveil molecular drivers of metastasis [abstract]. In: Proceedings of the 2020 San Antonio Breast Cancer Virtual Symposium; 2020 Dec 8-11; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2021;81(4 Suppl):Abstract nr PS2-05.

Abstract PS2-06: The detection and enumeration of circulating tumor cells (CTCs) and circulating endothelial cells (CECs) in metastatic breast cancer

Introduction: Circulating tumor cells (CTCs) are the roots of metastasis which is the main cause for death in metastatic breast cancer (MBC). CTCs enumeration is strongly prognostic in advanced disease and can stratify patients in two distinct disease, Stage IV aggressive and Stage IV indolent. In the former disease, the detection of CTC clusters and HER2-expression increase prognostic and predictive value. The metastatic cascade is a complex, regulated process involving immune cells and endothelial cells for progression and neoangiogenesis. Circulating endothelial cells (CECs) from the inner wall of blood vessels are shed into the blood stream during formation of blood vessels which is considered a sensitive marker of endothelial damage in pathological conditions such as cancer. CECs have been also studied as a biomarker for tumor progression and monitoring anti-angiogenic therapeutic effects in MBC. We evaluated the concomitant detection of CTCs and CECs in MBC patients, along with expression of HER2 in CTCs that may offer an interesting clue to elucidate the metastasis mechanisms. Methods: Whole blood samples (7.5ml/each) were collected from 14 stage IV MBC patients before systemic therapy. CTCs enumeration was performed in FDA approved CELLTRACKS System (Menarini) by using CTC Kit contains specific antibodies targeting the EpCAM for capturing CTCs, anti-CK-PE (for epithelial cells), DAPI (for nucleus), anti-CD45-APC (for leukocytes), and anti-HER-2/neu-FLU. The CTCs were classified as CK+, EpCAM+, DAPI+ and CD45-. Meanwhile, the same patients’ blood samples (4.0ml/each) were processed for CEC analyzed by using CEC kit which immunomagnetically captures CD146+ cells, and then stains the cells for CD105-PE (specific for protein endolgin), CD45-APC, nucleus-DAPI. The positive CECs were classified as CD 146+, CD105+, DAPI+ and CD45-. The associations between CTCs, HER2 expression and CECs were evaluated. Results: The average age of patients was 53.1. Subtypes of Luminal, HER2 positive and TNBC were 64.2% 7.2% and 28.6% respectively. Distant metastasis were found in 13 out of 14 patients, including bone (7), liver (5), Lymph nodes (5) and Pleura (2). CTCs were found positive (≥5, Stage IV aggressive) in 5 patients (range: 5-47, mean=24), and HER expression was identified in all 5 of these cases with a range of numbers between 1 and 7 (mean=4.2). The ratios of HER+ CTC/total ratios were 8.51%, 17.95%, 20%, 30.77%, and 33.33%. HER2 expression were defined officially in our lab according to the percentile of positive HER2 CTCs/Total CTCs and the expression intensity as - (<20%), + (20-39%), ++ (40-59%) and +++ (≥60%) respectively. There were 9 patients (%) were identified as CTCs negative (<5, Stage IV indolent) with the mean=1, and HER+ CTCs were found in only 2 patients with Stage IV indolent. Meanwhile, CECs were found in all 14 patients with a range of numbers between 4 to 115. There were an average of 33 CECs in Stage IV aggressive disease, compared to 53 CECs in Stage IV indolent. The average of CECs were 53.44, 12 and 37.25 in Luminal, HER2 positive and TNBC groups respectively. On the other hand, patients with HER2+ CTCs had an average of 50 CECs which is significantly higher than average of 41 CECs in patients without HER2+ CTCs. Moreover, there were average of 94.5, 56 and 40.22 CECs were found in groups when HER2 expression was ++/+++, above + and - respectively. The results demonstrated that although CTC enumeration have a reverse correlation with CECs numbers, HER2 expression in CTCs was significantly related with high CECs numbers. Conclusions: Our data provides the first evidence of potential association between CTCs and CECs in metastatic breast cancer. The association between HER2 expression and CECs offers a potential new insight to mechanism connections between CECs and disease metastasis in MBC.

Citation Format: Qiang Zhang, Paolo D'Amico, Jeannine Donahue, Lorenzo Gerratana, Andrew A. Davis, Saya Liz Jacob, Zheng Cai, Elena Vagia, Wenan Qiang, Ami N. Shah, Katy Kerby, Lisa Flaum, Youbin Zhang, Firas Wehbe, Amir Behdad, William Gradishar, Leonidas Platanias, Massimo Cristofanilli. The detection and enumeration of circulating tumor cells (CTCs) and circulating endothelial cells (CECs) in metastatic breast cancer [abstract]. In: Proceedings of the 2020 San Antonio Breast Cancer Virtual Symposium; 2020 Dec 8-11; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2021;81(4 Suppl):Abstract nr PS2-06.

Abstract PS2-20: Prognostic value of baseline circulating tumor cells (CTCs) enumerations is for stage III and stage IV breast cancer

Introduction: Prognosis of metastatic breast cancer (MBC) is initially predicted by the cancer’s characteristics based on AJCC TNM system, including the size of the cancer tumor, invasion into nearby tissue, lymph nodes and other parts of the body beyond the breast. Although additional information including hormone-receptor status, HER2 status, and possibly Oncotype DX score contributed to improve prognostic evaluation, predicting clinical outcomes and treatment benefit for MBC is still a challenge in clinic because of the clinical and biologically heterogeneous condition. We recently reported that CTCs enumeration can classify MBC in two distinct prognostic groups independently of clinical and molecular characteristics (Crit Rev Oncol Hematol. 2019). Moreover, our group reported that CTCs is associated with HER2 expression in MBC which may indicate more aggressive tumor (2019 AACR #1919). Here we compared CTCs enumeration of Stage III and Stage IV, which would be helpful to evaluate the MBC metastasis capability and treatment in clinic. Methods: The study included 38 specimens prospectively collected under IRB-approved protocol from 38 patients with Stage III MBC, and 254 specimens from 254 patients with stage IV MBC who received standard systemic treatments based on disease subtypes at NMH (2016-2020). Duplicate whole blood samples (7.5ml/each) were collected in EDTA tubes from these patients who were longitudinally characterized for CTCs before therapy (baseline). CTCs enrichment and enumeration were performed in FDA approved semi-automated fluorescence CELLTRACKS ANALYZERII® System (Menarini) by using CELLSEARCH® CXC Kit contains antibodies targeting the Epithelial Cell Adhesion Molecule (EpCAM) antigen for capturing CTCs, anti-CK-PE which is specific for the intracellular protein cytokeratin in epithelial cells, DAPI for staining the cell nucleus, anti-CD45-APC is specific for leukocytes (2019 ASCO #1036). The CTCs were classified based on morphology and correct phenotype as CK+, DAPI+ and CD45-. Kruskal-Wallis test was used for statistics. Results: Patients were classified as Luminal, HER2 positive and TNBC disease subtypes in 46.6%, 46.7% and 6.7% respectively in Stage III patients, and 54%, 18% and 28% respectively in Stage IV patients. The patients at age above 50 were 26.% in Stage III group and 68% in Stage IV group respectively. IBC patients represented 61.5% and 33.5% of Stage III and Stage IV patients respectively. Metastasis in liver, lung and bone were diagnosed in 40.7%, 40.2% and 62.8% in Stage IV patients. CTC negative (<5 CTCs) and positive (≥5CTCs) patients were identified in 32/38 (84.22%, group 1) and 6/38 (15.78%, group 2) respectively in Stage III patients, and 149/254 (59%, Stage IV indolent ) and 105/254 (41%, Stage IV aggressive ) respectively in Stage IV patients. Patients in Group 1 have a significantly less recurrence probability than patients in Group 2 (p=0.015). Correspondingly, patients with Stage IV indolent also had significantly longer survival than patients with Stage aggressive disease (p=0.0021). When comparing the all population, Group 1 patients still have the highest survival probability (p=0.00057) within 47 months follow-up survey. More interesting, there was no any CTC-clusters found in all Stage III patients when there were 28 out of 254 stage IV patients (11.02%) were detected with CTC-clusters, who had the worst prognosis in compared to either Stage IV patients without CTC-clusters or Stage III patients (p=0.00035). Conclusions: In this study, we showed that enumeration of baseline CTC and CTC-clusters correlated with worse prognosis even the patients were pathologically diagnosed for the same stage, which provided an additional measure to predict disease recurrence after systemic therapies especially for Stage III MBC patients.

Citation Format: Qiang Zhang, Zheng Cai, Lorenzo Gerratana, Paolo D'Amico, Andrew A. Davis, Saya Liz Jacob, Elena Vagia, Ami N Shah, Lisa Flaum, Youbin Zhang, Wenan Qiang, Firas Wehbe, Amir Behdad, William Gradishar, Leonidas C Platanias, Massimo Cristofanilli. Prognostic value of baseline circulating tumor cells (CTCs) enumerations is for stage III and stage IV breast cancer [abstract]. In: Proceedings of the 2020 San Antonio Breast Cancer Virtual Symposium; 2020 Dec 8-11; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2021;81(4 Suppl):Abstract nr PS2-20.

Liquid biopsy by combining 5-hydroxymethylcytosine signatures of plasma cell-free DNA and protein biomarkers for diagnosis and prognosis of hepatocellular carcinoma

BACKGROUND

Liquid biopsy based on 5-hydroxymethylcytosine (5hmC) signatures of plasma cell-free DNA (cfDNA) originating from tumor cells provides a novel approach for early diagnosis in hepatocellular carcinoma (HCC). Here, we sought to develop a reliable model using cfDNA 5hmC signatures and protein biomarkers for diagnosis and prognosis of HCC.

PATIENTS AND METHODS

We carried out genome-wide 5hmC sequencing of cfDNA samples collected from 165 healthy volunteers, 62 liver cirrhosis (LC) patients and 135 HCC patients. A sensitive 5hmC diagnostic model was developed based on 5hmC signatures selected by sparse Partial Least Squares Discriminant Analysis and cross-validation to define the weighted diagnostic score (wd-score). Then, we combined protein biomarkers with the wd-score to build a more robust score (HCC score) by logistic regression.

RESULTS

The distribution pattern of differential 5hmC regions could clearly distinguish HCC patients, LC patients and healthy volunteers. The wd-score based on 64 5hmC signatures in cfDNA achieves 93.24% of area under the curve (AUC) to distinguish HCC patients from non-HCC patients, and the HCC score by combing protein biomarkers achieves 92.75% of AUC to distinguish HCC patients from LC patients. Meanwhile, the HCC score showed high capacity for screening high recurrence risk patients after receiving surgical resection, and appeared to be an independent indicator for both relapse-free survival (P = 0.00865) and overall survival (P = 0.000739). Furthermore, the values of the HCC score in patients' longitudinal plasma samples were positively associated with tumor burden dynamics during follow-up.

CONCLUSION

We have developed and validated a novel non-invasive liquid biopsy strategy for HCC diagnosis, prognosis and surveillance during HCC progression.

[The effect of peripheral blood cell score on the prognosis of multiple myeloma patients treated with bortezomib]

目的

评估外周血细胞检测结果在以硼替佐米为一线治疗的多发性骨髓瘤（MM）患者中的预后作用。

方法

回顾性分析2014年1月至2016年12月浙江大学医学院附属第一医院和浙江省舟山医院收治的155例初诊MM患者的临床数据，患者均一线接受以硼替佐米为基础方案的治疗。分析外周血细胞检测结果，包括ANC、单核细胞计数（AMC）、HGB、红细胞平均体积（MCV）、PLT以及其他临床特征对MM患者的预后评估作用。

结果

AMC（>0.6×10⁹/L）、MCV（>99.1fl）以及PLT（<150×10⁹/L）明显影响MM患者无进展生存（PFS）和总生存（OS），以上3个因子分别赋值1分，形成血细胞积分。结果显示，64例（41.3％）积分0，57例（36.8％）积分1，32例（20.6％）积分2，2例（1.3％）积分3，4组患者中位PFS时间分别为42.8、26.5、15.8、6.4个月（P<0.001），中位OS时间分别为未达到和48.2、31.1、31.4个月（P＝0.001）。多因素分析提示，血细胞积分（2～3对0～1）和骨髓浆细胞比例（>30％对≤30％）为PFS的独立预后因素（HR分别为1.95和1.76），而患者年龄（>65岁对≤65岁）、R-ISS分期（Ⅲ期对Ⅰ～Ⅱ期）和血细胞积分（2～3对0～1）是OS的独立预后因素（HR分别为2.08、2.13和2.12）。

结论

血细胞积分简单易得，可用于新药时代初治MM患者的预后评估，但仍需扩大病例并进行前瞻性研究进一步明确。

Determination and Comparison of the Solubility, Oil-Water Partition Coefficient, Intestinal Absorption, and Biliary Excretion of Carvedilol Enantiomers

Carvedilol is administered as a racemic mixture for the therapy of hypertension and heart failure. S-enantiomer is the dominant conformation of pharmacodynamics, but its further development was obstructed by its poor bioavailability. In this study, carvedilol and its enantiomers were compared in terms of solubility, permeability, and biliary excretion, and reasons for the poor bioavailability were discussed. Equilibrium solubility and log P were measured by a shake flask method at a wide pH range (1.2-8.0), and intestinal absorption and biliary excretion were evaluated using a single-pass rat intestinal perfusion model. According to BCS guidance, carvedilol and its R/S enantiomers are considered highly soluble at pH value less than 5.0 and low soluble at neutral or weak alkaline conditions. RS-carvedilol showed significantly lower solubilities at pH 1.2-5.0 and higher solubilities at pH 6.0-8.0 than its enantiomers. In addition, carvedilol and its enantiomers possessed similar log P values at pH 1.2-8.0. High intestinal permeabilities of carvedilol and its enantiomers were observed, and S-carvedilol showed higher absorption than R-carvedilol and RS-carvedilol. The biliary excretion about two major metabolites, 1-hydroxycarvedilol O-glucuronide and 8-hydroxycarvedilol O-glucuronide, of RS-carvedilol, S-carvedilol, and R-carvedilol were 66.4%, 73.5%, and 54.3%, respectively. In conclusion, there are significant differences amongst carvedilol and its R/S enantiomers in terms of solubility, intestine absorption, and biliary excretion abilities. The first pass effect is the primary reasons for the low bioavailability of S-carvedilol. Therefore, pharmaceutical strategies or parenteral routes should be considered to avoid the first pass metabolism.

Toward High Precision XCO2 Retrievals From TanSat Observations: Retrieval Improvement and Validation Against TCCON Measurements

TanSat is the 1st Chinese carbon dioxide (CO2) measurement satellite, launched in 2016. In this study, the University of Leicester Full Physics (UoL-FP) algorithm is implemented for TanSat nadir mode XCO2 retrievals. We develop a spectrum correction method to reduce the retrieval errors by the online fitting of an 8th order Fourier series. The spectrum-correction model and its a priori parameters are developed by analyzing the solar calibration measurement. This correction provides a significant improvement to the O2 A band retrieval. Accordingly, we extend the previous TanSat single CO2 weak band retrieval to a combined O2 A and CO2 weak band retrieval. A Genetic Algorithm (GA) has been applied to determine the threshold values of post-screening filters. In total, 18.3% of the retrieved data is identified as high quality compared to the original measurements. The same quality control parameters have been used in a footprint independent multiple linear regression bias correction due to the strong correlation with the XCO2 retrieval error. Twenty sites of the Total Column Carbon Observing Network (TCCON) have been selected to validate our new approach for the TanSat XCO2 retrieval. We show that our new approach produces a significant improvement on the XCO2 retrieval accuracy and precision when compared to TCCON with an average bias and RMSE of -0.08 ppm and 1.47 ppm, respectively. The methods used in this study can help to improve the XCO2 retrieval from TanSat and subsequently the Level-2 data production, and hence will be applied in the TanSat operational XCO2 processing.

Lower plasma melatonin levels predict worse long-term survival in pulmonary arterial hypertension

Background

Exogenous melatonin has been reported to be beneficial in the treatment of pulmonary hypertension (PH) in animal models. Multiple mechanisms may be involved, with melatonin exerting anti-oxidant and anti-inflammatory effects, as well as inducing vasodilation and cardio-protection. However, endogenous levels of melatonin in treatment-naïve pulmonary arterial hypertension (PAH) patients and their clinical significance are still unknown.

Methods and results

Plasma levels of endogenous melatonin were measured by liquid chromatography-tandem mass spectrometry in treatment-naïve PAH patients (n=43) and healthy controls (n=111). Melatonin levels were higher in PAH patients when compared with controls (Median 118.9 [IQR 109.3–147.7] versus 108.0 [102.3–115.2] pM, P&lt;0.001) (Figure 1A). The overall mortality was 26% (11/43) during a median long-term follow-up of 42 [IQR: 32–58] months. When PAH patients were stratified into 4 groups according to the quartiles of melatonin levels, the mortality from below 1st quartile to above 4th quartile was 55% (6/11), 10% (1/10), 0% (0/12), and 40% (4/10), respectively (Figure 1B). Kaplan-Meier analysis further showed that patients with melatonin levels below the 1st quartile (&lt;109.3 pM) had a worse long-term survival than patients with melatonin levels above the 1st quartile (Mean survival times were 46 [95% CI: 30–65] versus 68 [58–77] months, Log-rank, p=0.026) (Figure 1C).

Conclusion

Endogenous melatonin levels were increased in treatment-naïve PAH patients, and lower levels of melatonin were associated with worse long-term survival in patient with PAH, however, whether exogenous melatonin supplements may be effective as a therapeutic strategy in human PAH remains to be established.

Figure 1

Funding Acknowledgement

Type of funding source: Foundation. Main funding source(s): This work was supported by the China Scholarship Council (201606230252) as well as the Netherlands CardioVascular Research Initiative: an initiative with support of the Dutch Heart Foundation (CVON2014-11, RECONNECT), and German Center for Cardiovascular Research (DZHK81Z0600207). Instrumentation support was received from AB Sciex, ltd. for LC-MS/MS analyses performed in this study.

Different tryptophan-kynurenine metabolism profiles in human pulmonary arterial hypertension and animal models of pulmonary hypertension

Background

De novo NAD+ synthesis through the tryptophan-kynurenine (TK) metabolism was recognized as an important pathway in improving mitochondrial function and survival of injury or apoptotic cells, which are key processes involved in the pathogenesis of pulmonary arterial hypertension (PAH). Although abnormal TK metabolism has been reported in human PAH, the difference between human and animal models of pulmonary hypertension (PH) are currently unknown.

Objective

Determine and compare TK metabolism profiles in plasma from human PAH and 3 animal models of PH.

Methods

Human plasma was collected from treatment naïve patients with PAH (n=43) and healthy controls (n=111). Animal plasma was collected from 3 animal models of PH and corresponding controls, including monocrotaline (MCT) induced PH in rat (n=7, control n=6), Sugen + hypoxia (SuHx) induced PH in rat (n=5, control n=6), and pulmonary vein banding (PVB) induced PH in swine (n=7, control n=6). TK metabolites were determined using liquid chromatography-tandem mass spectrometry (LC-MS/MS).

Results

TK metabolism was altered in the plasma from of PAH compared to healthy controls (Figure 1A). Lower tryptophan (0.8 fold vs Control, p&lt;0.0001), maintained 3-hydroxyanthranilic acid, and higher kynurenine, 3-hydroxykynurenine, anthranilic acid, and quinolinic acid (1.5, 2.6, 2.0, 2.6 fold vs Control, respectively, p all&lt;0.0001) were seen in the plasma from human PAH. In the rat SuHx-PH model, kynurenine (0.7 fold, p&lt;0.01) and quinolinic acid (0.5 fold, p&lt;0.001) were lower, while 3-hydroxyanthranilic acid (4.3 fold, p&lt;0.001) was higher in PH compared to control (Figure 1B). However, the TK metabolism was unaltered in MCT-PH model in rat (Figure 1C), and PVB-PH model in swine (Figure 1D).

Conclusions

TK metabolism was altered in the plasma from human PAH. The TK metabolism profiles were different among 3 animal models of PH, but did not mimic the profile in human PAH. Further research is required to determine the mechanism(s) behind the abnormal TK metabolism in human PAH as well as whether these mechanisms relate to disease onset or progression.

Figure 1

Funding Acknowledgement

Type of funding source: Foundation. Main funding source(s): This work was supported by the China Scholarship Council (201606230252) as well as the Netherlands CardioVascular Research Initiative: an initiative with support of the Dutch Heart Foundation (CVON2014-11, RECONNECT), and German Center for Cardiovascular Research (DZHK81Z0600207). Instrumentation support was received from AB Sciex, ltd. for LC-MS/MS analyses performed in this study.

Structural Features and PF4 Functions that Occur in Heparin-Induced Thrombocytopenia (HIT) Complicated by COVID-19

Platelet factor 4 (PF4, CXCL4) is a small chemokine protein released by activated platelets. Although a major physiological function of PF4 is to promote blood coagulation, this cytokine is involved in innate and adaptive immunity in events when platelets are activated in response to infections. Coronavirus disease 2019 (COVID-19) patients have abnormal coagulation activities, and severe patients develop higher D-dimer levels. D-dimers are small protein products present in the blood after blood clots are degraded by fibrinolysis. To prevent clotting, heparin is often clinically used in COVID-19 patients. Some clinical procedures for the management of COVID-19 patients may include extracorporeal membrane oxygenation (ECMO) and renal replacement therapy (CRRT), which also require the use of heparin. Anti-PF4 antibodies are frequently detected in severe patients and heparin-induced thrombocytopenia (HIT) can also be observed. PF4 and its role in HIT as well as in pathologies seen in COVID-19 patients define a potential therapeutic option of using blocking antibodies in the treatment of COVID-19.

A three-gene signature and clinical outcome in pediatric acute myeloid leukemia

BACKGROUND

Although the 5-year survival rates in pediatric acute myeloid leukemia (AML) have improved over the last decades, there is a high relapse rate for Pediatric AML patients.

METHODS

In the present study, we mainly combine PCA with the LASSO technique to identify prognostic markers for Pediatric AML patients coming from the NCI TARGET database.

RESULTS

Three key genes (EEF1A1, RPLP2, RPL19) associated with poor prognosis of pediatric AML has been screened by both PCA and LASSO Cox regression analysis. Simultaneously, we developed a risk score model to predict the prognosis of pediatric AML, according to risk scores, the patients were divided into high- and low-risk groups based on the median risk score. Kaplan-Meier survival analysis indicated that Pediatric AML patients with the high-risk group have a poorer survival rate than those with a low-risk group (p < 0.000). The receiver operating characteristic (ROC) analysis showed that the risk model has a good performance (AUC:0.669). Moreover, the clinicopathologic correlation showed that the expression levels of three genes were related to the central nervous system (CNS) disease and chloroma. GSEA identified that those pathways including oxidative phosphorylation, apoptosis and TGFB signaling pathway were differentially enriched.

CONCLUSION

Taken together, those studies suggested that a gene panel that consists of three genes (EEF1A1, RPLP2, RPL19) may act as a potential prognostic marker.

Plasmonic Modulation of the Upconversion Luminescence Based on Gold Nanorods for Designing a New Strategy of Sensing MicroRNAs

Upconversion nanoparticles (UCNPs) have potential applications in biosensing and bioimaging. However, the UCNPs-based sensors constructed by luminescence resonance energy transfer (LRET) always suffer from low quenching efficiency, hindering their application. Therefore, exploring a new strategy to resolve this issue is highly desirable. Herein, a strategy based on the surface plasmon resonance (SPR) effect of gold nanorods (AuNRs) is presented. The luminescence of UCNPs was modulated by adjusting the SiO₂ thickness of AuNRs@SiO₂ and the structure of UCNPs; an enhancement factor of ≈50 times was obtained. Based on the results of the SPR effect of AuNRs, we designed two kinds of potential upconversion microRNA sensors using microRNA-21 as a model to resolve the problem of the lower quenching efficiency resulting from a dye as a quencher. Studies revealed that the proposed strategy could be successfully used to construct upconversion microRNA sensors for avoiding the limitation of the low quenching efficiency. The sensitivity was ≈10 000 times higher than that of the upconversion sensor using dyes as quenchers. Importantly, the assay of microRNA-21 was successfully achieved using this sensor in human serum samples and human breast cancer cell (MCF-7) lysates. It provides a new method for designing upconversion microRNA sensors and may have potential for use in biosensing and bioimaging.

Role of Glucose Transporters in Drug Membrane Transport

BACKGROUND

Glucose is the main energy component of cellular activities. However, as a polar molecule, glucose cannot freely pass through the phospholipid bilayer structure of the cell membrane. Thus, glucose must rely on specific transporters in the membrane. Drugs with a similar chemical structure to glucose may also be transported through this pathway.

METHODS

This review describes the structure, distribution, action mechanism and influencing factors of glucose transporters and introduces the natural drugs mediated by these transporters and drug design strategies on the basis of this pathway.

RESULTS

The glucose transporters involved in glucose transport are of two major types, namely, Na+-dependent and Na+-independent transporters. Glucose transporters can help some glycoside drugs cross the biological membrane. The transmembrane potential is influenced by the chemical structure of drugs. Glucose can be used to modify drugs and improve their ability to cross biological barriers.

CONCLUSION

The membrane transport mechanism of some glycoside drugs may be related to glucose transporters. Glucose modification may improve the oral bioavailability of drugs or achieve targeted drug delivery.

Metabolism and Toxicity of Emodin: Genome-Wide Association Studies Reveal Hepatocyte Nuclear Factor 4α Regulates UGT2B7 and Emodin Glucuronidation

Emodin is the main toxic component in Chinese medicinal herbs such as rhubarb. Our previous studies demonstrated that genetic polymorphisms of UDP-glucuronosyltransferase 2B7 (UGT2B7) had an effect on the glucuronidation and detoxification of emodin. This study aimed to reveal the transcriptional regulation mechanism of UGT2B7 on emodin glucuronidation and its effect on toxicity. Emodin glucuronic activity and genome and transcriptome data were obtained from 36 clinical human kidney tissues. The genome-wide association studies (GWAS) identified that four single nucleotide polymorphisms (SNPs) (rs6093966, rs2868094, rs2071197, and rs6073433), which were located on the hepatocyte nuclear factor 4α (HNF4A) gene, were significantly associated with the emodin glucuronidation (p < 0.05). Notably, rs2071197 was significantly associated with the gene expression of HNF4A and UGT2B7 and the glucuronidation of emodin. The gene expression of HNF4A showed a high correlation with UGT2B7 (R² = 0.721, p = 5.83 × 10^-11). The luciferase activity was increased 7.68-fold in 293T cells and 2.03-fold in HepG2 cells, confirming a significant transcriptional activation of UGT2B7 promoter by HNF4A. The knockdown of HNF4A in HepG2 cells (36.6%) led to a significant decrease of UGT2B7 (19.8%) and higher cytotoxicity (p < 0.05). The overexpression of HNF4A in HepG2 cells (31.2%) led to a significant increase of UGT2B7 (24.4%) and improved cell viability (p < 0.05). Besides, HNF4A and UGT2B7 were both decreased in HepG2 cells and rats after treatment with emodin. In conclusion, emodin used long term or in high doses could inhibit the expression of HNF4A, thereby reducing the expression of UGT2B7 and causing hepatotoxicity.

The Impact of Physicians' Working Hours on Inappropriate Use of Outpatient Medicine in a Tertiary Hospital in China

BACKGROUND

Inappropriate prescribing is an important health system problem in China. Several studies have identified critical factors influencing prescription quality, but the impact of physicians' working hours remains unknown. In China, tertiary hospitals face ever-increasing outpatient volumes. Physicians are asked to work long hours and the impact of shift duration on prescription quality is unknown.

OBJECTIVE

We aimed to investigate the association between consecutive working hours and the quality of physicians' prescriptions in a Chinese tertiary hospital.

METHODS

We obtained all outpatient electronic health records from the hospital information system (HIS) of a tertiary hospital in Beijing, China from 1 July to 30 November 2015. Prescriptions made during two periods were analyzed: a morning shift from 7:30 to 12:30, and an afternoon shift from 13:30 to 18:30. The time when a physician issued the first prescription was considered the beginning of the work shift and prescriptions within the next 4 consecutive hours were included. Potentially inappropriate prescriptions were based on the Rational Drug Use (RDU) system that was developed and validated for this study. We used multivariable logistic regression to examine the impact of shift duration and other clinical and physician factors on potentially inappropriate prescribing.

RESULTS

Of the total 560,529 prescriptions, 15.3% were classified as inappropriate by the RDU system. Physicians' inappropriate prescribing increased in the last hour in each work shift (odds ratio (OR) for the fourth hour compared to the first = 1.12 (95% CI, 1.09-1.15)). We also found that physicians who worked all day had a higher rate of inappropriate prescribing than those who only worked half a day (OR = 1.05 (95% CI, 1.04-1.07)).

CONCLUSIONS

Longer working hours are a risk factor for inappropriate prescribing. Relevant interventions are urgently needed to establish working hour limits in China to reduce the likelihood of inappropriate prescribing by physicians.

PARE0026 WHICH PATIENT-REPORTED OUTCOMES DO RHEUMATOLOGY PATIENTS FIND IMPORTANT TO TRACK DIGITALLY? A REAL-WORLD LONGITUDINAL STUDY IN ARTHRITISPOWER

Background:

Development of a standardized approach to assess key elements of disease activity in rheumatology clinical trials has been the goal of Outcome Measures in Rheumatology Clinical Trials (OMERACT), American College of Rheumatology (ACR), and European League Against Rheumatism (EULAR).1,2,3The core sets of measures developed include assessments and composite indices incorporating use of patient-reported outcomes (PROs) and clinical measures and clinicians’ assessments to quantify disease activity over time.2PROs are important indicators of disease activity and variability, and they are increasingly used to evaluate treatment effectiveness. Little is known about PROs that patients with rheumatic conditions find most important to convey their experience with their condition and its treatment.

Objectives:

To examine PROs selected by patients with rheumatic conditions in the ArthritisPower registry to identify symptoms they found most important to track digitally.

Methods:

Adult US patients within the ArthritisPower registry with rheumatoid arthritis (RA), psoriatic arthritis (PsA), ankylosing spondylitis (AS), systemic lupus erythematosus (SLE), osteoporosis (OP), osteoarthritis (OA), and fibromyalgia syndrome (FMS) were invited via email to participate in this study. Enrolled participants (pts) were prompted to select ≤10 PRO symptom measures they felt were important to track for their condition at baseline via the ArthritisPower app. At 3 subsequent time points (Month [m] 1, m2, m3), pts were given the option to continue tracking their previously selected PRO measures or to add, remove and/or select different measures. At m3, pts completed an exit survey to prioritize ≤5 measures from all measures selected during study participation and to specify other symptoms not available that they would have wanted to track. Measures were rank-ordered based on number of pts rating the item as their 1st, 2nd, 3rd, 4th or 5th choice and weighted by multiplying the rank number by its inverse for a single, weighted summary score for each measure. Values were summed across all pts to produce a summary score for each measure.

Results:

Among pts who completed initial selection of PRO assessments at baseline (N=253), 184 pts confirmed or changed PRO selections across m1-3. Mean (SD) age of pts was 55.7 (9.2) yrs, 89.3% female, 91.3% White, mean disease duration of 11.6 (10.6) yrs. The majority (64.8%) self-reported OA, followed by RA (48.6%), FMS (40.3%), PsA (26.1%), OP (21.0%), AS (15.8%) and SLE (5.9%), not mutually exclusive, and were similar to the overall ArthritisPower population. The average number of instruments (SD) selected for baseline completion was 7.0 (2.5), 7.1 (2.4) at m1, 7.2 (2.4) at m2, and 7.0 (2.5) at m3. The top 5 PROs ranked by pts overall as most important (weighted summary score) for tracking were Fatigue (71), Physical Function (58), Pain Intensity (50), Pain Interference (49), Duration of Morning Joint Stiffness (41) (Figure 1). Fatigue, Physical Function, and Pain were consistently in the top 5 across diseases while Depression was more frequent among pts with OA, AS and FMS. Pts’ PRO selections showed stability over time except for the RA Flare measure which decreased from 70.5% of RA pts at baseline to 13.6% at m3.

Conclusion:

The symptoms prioritized by pts included fatigue, physical function, pain, and joint stiffness. Pts‘ choices were consistent over time. These findings provide insights into symptoms rheumatology patients find most important and will be useful to inform design of future patient-centric clinical trials and real-world evidence generation.

References:

[1]Boers M, et al. J Rheumatol Suppl. 1994;41:86–89.

[2]Felson DT, et al. Arthritis Rheum. 1993;36:729–740.

[3]Tugwell P, et al. J Rheumatol. 1993;20:555–556.

Disclosure of Interests:

W. Benjamin Nowell: None declared, Carol L. Kannowski Shareholder of: Eli Lilly and Company, Employee of: Eli Lilly and Company, Kelly Gavigan: None declared, Zhihong Cai Shareholder of: Eli Lilly and Company, Employee of: Eli Lilly and Company, Anabela Cardoso Shareholder of: Eli Lilly and Company, Employee of: Eli Lilly and Company, Theresa Hunter Shareholder of: Eli Lilly and Company, Employee of: Eli Lilly and Company, Shilpa Venkatachalam: None declared, Julie Birt Shareholder of: Eli Lilly and Company, Employee of: Eli Lilly and Company, Jennifer Workman Shareholder of: Eli Lilly and Company, Employee of: Eli Lilly and Company, Jeffrey Curtis Grant/research support from: AbbVie, Amgen, Bristol-Myers Squibb, Corrona, Janssen, Lilly, Myriad, Pfizer, Regeneron, Roche, UCB, Consultant of: AbbVie, Amgen, Bristol-Myers Squibb, Corrona, Janssen, Lilly, Myriad, Pfizer, Regeneron, Roche, UCB

Circulating tumor DNA (ctDNA) to evaluate stage III and stage IV metastatic breast cancer (MBC), describe tumor heterogeneity, and outcome

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Background: MBC is a challenging clinical condition treated with palliative intent due to tumor heterogeneity. We reported in 2019 ASCO that the correlation of HER2 and ESR1 mutations of ctDNA with CTCs results in worse prognosis in MBC. Here we reported that ctDNA mutations is a key point which is different between Stage III and Stage IV, and it would be helpful to evaluate the MBC metastasis and outcome. Methods: This study included 33 Stage III and 204 Stage IV MBC patients who received systemic treatments at NMH (2016-2019). Plasma ctDNA before treatment was isolated from patients and then was analyzed by Guardant 360 Health NGS-based assay for a 73 genes panel for genomic alterations including single nucleotide variants, insertions/deletions, gene fusions/rearrangements and copy number variations. Causal Inference with Ensembel Learning was used for statistical analyses. Results: Among stage III patients, 40% are luminal, 44% are HER2+ and 16% are TNBC, while in stage IV 50% patients are luminal, 20% are HER2+ and 30% are TNBC. The major differences in ctDNA between two stages lie in several genes including PIK3CA, ERBB2 and KRAS. On the top of the list is PIK3CA, which is detected in 2 out of 33 stage III patients (1 luminal, 1 HER2+) (6.06%) in baseline, each of them carries 1 mutation on PIK3CA (E542K, E545G). In 43 out of 204 stage IV patients (21.57%) who carry this gene, 15 show 1 amplification, 34 have 1 mutation (mainly H1047R, E542K, E545K and H1047L), 11 have 2 mutations (E542K/E726K, D454N/D1029N, E545K/D1017H, E545K/L287L, H1047R/E453K, H1047R/N426S and P539R/H1047R), and 1 has 3 mutations (E542Q/D454N/D1029N and E545K/E726K/R93Q). On treatment effects, PIK3CA is found to be very detrimental on prognosis and on its effects on the treatment outcome. Patients without any mutation in PIK3CA live 2.65 times longer than those with more than one mutations on PIK3CA ( p-value = 4.47e-06, CI = [1.731, 3.926]). PIK3CA, ESR1, TP53 and ARID1A are found to significantly affect liver metastasis when RET, FBXW7, ERBB2, CCND2, BRAF and MET are found to be associated with lung metastasis for both stages. EGFR, KIT and ARID1A are associated with CNS metastasis. Conclusions: We elucidated that ctDNA mutations on PIK3CA and other genes dramatically increased in Stage IV patients compared to Stage III patients which provides a new insight on the Stage III and Stage IV MBC determination. New set of genes especially PIK3CA are identified to correlate with metastasis and affect the outcome which may also be reliably used to monitor the response to therapy.

Causal data fusion methods using summary-level statistics for a continuous outcome

In many empirical studies, there exist rich individual studies to separately estimate causal effect of the treatment or exposure variable on the outcome variable, but incomplete confounders are adjusted in each study. Suppose we are interested in the causal effect of a treatment or exposure on an outcome variable, and we have available rich datasets that contain different confounders. How to integrate summary-level statistics from multiple individual datasets to improve causal inference has become a main challenge in data fusion. We propose a novel method in this article to identify the causal effect of a treatment or exposure on the continuous outcome. We show that the causal effect is identifiable and can be estimated by combining summary-level statistics from multiple datasets containing subsets of confounders and an external dataset only containing complete confounding information. Simulation studies indicate the unbiasedness of causal effect estimate by our method and we apply our method to a study about the effect of body mass index on fasting blood glucose.