Supplementary Material for: Evaluation of the Efficacy of Ultrasound-Guided Local Lauromacrogol Injection Combined with Aspiration for Cesarean Scar Pregnancy: A Novel Treatment

<b><i>Objectives:</i></b> To evaluate the efficacy of ultrasound-guided local lauromacrogol injection combined with aspiration for treating cesarean scar pregnancy (CSP). <b><i>Methods:</i></b> From July 2016 to December 2016, 18 patients diagnosed with CSP were treated with ultrasound-guided local lauromacrogol injection combined with aspiration. Clinical data and outcome were analysed. <b><i>Results:</i></b> All patients were treated successfully. The amount of bleeding ranged between 10 and 50 mL. The duration of hospitalization ranged between 2 and 11 days. Serum β-human chorionic gonadotropin (β-hCG) decreased to the nondetectable level within 19–41 days. Menstruation recovery occurred after 10–24 days of normalization of serum β-hCG level. Reproductive functions were preserved, and there were no untoward effects or complications. <b><i>Conclusions:</i></b> Ultrasound-guided local lauromacrogol injection combined with aspiration is an effective CSP therapy, as it was associated with a high success rate, short hospitalization and fast recovery. However, its wider application and popularization have to be validated on a larger patient population affected by CSP

Supplementary Material for: L-Carnitine Ameliorates Cancer Cachexia in Mice Partly via the Carnitine Palmitoyltransferase-Associated PPAR-γ Signaling Pathway

<b><i>Background:</i></b>L-Carnitine has been demonstrated to ameliorate cachectic symptoms. In the present study, we sought to investigate the role of the peroxisome proliferator-activated receptor-γ (PPAR-γ) signaling pathway in the ameliorative effects of L-carnitine on cancer cachexia in a colon-26 tumor-bearing mouse model. <b><i>Methods:</i></b> The cachectic mice received L-carnitine (p.o.) or etomoxir (i.p.), or pioglitazone hydrochloride (p.o.) or GW9662 (i.p.). The physiological cachexia parameters, biochemical parameters, and serum cytokines were measured. The expression levels of representative molecules in the PPAR-γ signaling pathway were measured by using quantitative real-time polymerase chain reaction (qRT-PCR) or Western blot analysis. <b><i>Results:</i></b> Oral administration of L-carnitine at 9 mg/kg/day improved the cachexia parameters and biochemical parameters in cancer cachectic mice. The elevated serum concentrations of interleukin (IL)-6 and tumor necrosis factor-α (TNF-α) were decreased by L-carnitine. These ameliorative effects of L-carnitine were lessened by the carnitine palmitoyltransferase I (CPT I) inhibitor, etomoxir. The mRNA and protein expression levels of PPAR-α and PPAR-γ were decreased in the livers of cancer cachectic mice and increased after L-carnitine administration, which attenuated the increased mRNA expression levels of sterol-regulatory element-binding protein-1c (SREBP-1c) and fatty acid synthase (FAS). Similar to pioglitazone, L-carnitine augmented the phosphorylation of PPAR-γ and attenuated the expression levels of phospho-p65 and cyclooxygenase (COX)-2. Additionally, the above-mentioned effects of L-carnitine were reversed by GW9662. <b><i>Conclusion:</i></b>L-Carnitine exerts its ameliorative effects in cancer cachexia in association with the PPAR-γ signaling pathway

Supplementary Material for: AKAP12 and IGFBP4 are prognostic factors for chronic lymphocytic leukemia

Introduction: To develop a prognostic model for chronic lymphocytic leukemia (CLL). Methods: GEO2R was used to retrieve the gene expression data of CLL and normal B cells from the Gene Expression Omnibus (GEO, GSE22529 and GSE50006 datasets) database. Perl (Practical Extraction and Report Language) was used to extract the gene expression and overall survival (OS) data of CLL patients from the CLLE-ES project in the ICGC (International Cancer Genome Consortium) database. Cox regression with Lasso was used to create and validate a prognostic model for CLL. Results: A total of 267 genes exhibited differential expression between CLL and normal B cells. Uni-Cox analysis identified 14 DEGs that correlated with overall survival (OS). Lasso multivariate evaluation demonstrated that AKAP12 and IGFBP4 are independent prognostic factors for CLL. Kaplan-Meier survival analysis revealed a significant association between the estimated risk score and survival. The area under the receiver operating characteristics (ROC) curve (AUC) was calculated to be 0.97, indicating high predictive accuracy. In addition, high AKAP12 and IGFBP4 risk score was associated with the high incidence of trisomy 12q. Conclusion: Taken together, AKAP12 and IGFBP4 are independent prognostic factors for CLL

Supplementary Material for: AKAP12 and IGFBP4 are prognostic factors for chronic lymphocytic leukemia

Introduction: To develop a prognostic model for chronic lymphocytic leukemia (CLL). Methods: GEO2R was used to retrieve the gene expression data of CLL and normal B cells from the Gene Expression Omnibus (GEO, GSE22529 and GSE50006 datasets) database. Perl (Practical Extraction and Report Language) was used to extract the gene expression and overall survival (OS) data of CLL patients from the CLLE-ES project in the ICGC (International Cancer Genome Consortium) database. Cox regression with Lasso was used to create and validate a prognostic model for CLL. Results: A total of 267 genes exhibited differential expression between CLL and normal B cells. Uni-Cox analysis identified 14 DEGs that correlated with overall survival (OS). Lasso multivariate evaluation demonstrated that AKAP12 and IGFBP4 are independent prognostic factors for CLL. Kaplan-Meier survival analysis revealed a significant association between the estimated risk score and survival. The area under the receiver operating characteristics (ROC) curve (AUC) was calculated to be 0.97, indicating high predictive accuracy. In addition, high AKAP12 and IGFBP4 risk score was associated with the high incidence of trisomy 12q. Conclusion: Taken together, AKAP12 and IGFBP4 are independent prognostic factors for CLL

Supplementary Material for: AKAP12 and IGFBP4 are prognostic factors for chronic lymphocytic leukemia

Introduction: To develop a prognostic model for chronic lymphocytic leukemia (CLL). Methods: GEO2R was used to retrieve the gene expression data of CLL and normal B cells from the Gene Expression Omnibus (GEO, GSE22529 and GSE50006 datasets) database. Perl (Practical Extraction and Report Language) was used to extract the gene expression and overall survival (OS) data of CLL patients from the CLLE-ES project in the ICGC (International Cancer Genome Consortium) database. Cox regression with Lasso was used to create and validate a prognostic model for CLL. Results: A total of 267 genes exhibited differential expression between CLL and normal B cells. Uni-Cox analysis identified 14 DEGs that correlated with overall survival (OS). Lasso multivariate evaluation demonstrated that AKAP12 and IGFBP4 are independent prognostic factors for CLL. Kaplan-Meier survival analysis revealed a significant association between the estimated risk score and survival. The area under the receiver operating characteristics (ROC) curve (AUC) was calculated to be 0.97, indicating high predictive accuracy. In addition, high AKAP12 and IGFBP4 risk score was associated with the high incidence of trisomy 12q. Conclusion: Taken together, AKAP12 and IGFBP4 are independent prognostic factors for CLL

Supplementary Material for: AKAP12 and IGFBP4 are prognostic factors for chronic lymphocytic leukemia

Introduction: To develop a prognostic model for chronic lymphocytic leukemia (CLL). Methods: GEO2R was used to retrieve the gene expression data of CLL and normal B cells from the Gene Expression Omnibus (GEO, GSE22529 and GSE50006 datasets) database. Perl (Practical Extraction and Report Language) was used to extract the gene expression and overall survival (OS) data of CLL patients from the CLLE-ES project in the ICGC (International Cancer Genome Consortium) database. Cox regression with Lasso was used to create and validate a prognostic model for CLL. Results: A total of 267 genes exhibited differential expression between CLL and normal B cells. Uni-Cox analysis identified 14 DEGs that correlated with overall survival (OS). Lasso multivariate evaluation demonstrated that AKAP12 and IGFBP4 are independent prognostic factors for CLL. Kaplan-Meier survival analysis revealed a significant association between the estimated risk score and survival. The area under the receiver operating characteristics (ROC) curve (AUC) was calculated to be 0.97, indicating high predictive accuracy. In addition, high AKAP12 and IGFBP4 risk score was associated with the high incidence of trisomy 12q. Conclusion: Taken together, AKAP12 and IGFBP4 are independent prognostic factors for CLL

Supplementary Material for: AKAP12 and IGFBP4 are prognostic factors for chronic lymphocytic leukemia

Introduction: To develop a prognostic model for chronic lymphocytic leukemia (CLL). Methods: GEO2R was used to retrieve the gene expression data of CLL and normal B cells from the Gene Expression Omnibus (GEO, GSE22529 and GSE50006 datasets) database. Perl (Practical Extraction and Report Language) was used to extract the gene expression and overall survival (OS) data of CLL patients from the CLLE-ES project in the ICGC (International Cancer Genome Consortium) database. Cox regression with Lasso was used to create and validate a prognostic model for CLL. Results: A total of 267 genes exhibited differential expression between CLL and normal B cells. Uni-Cox analysis identified 14 DEGs that correlated with overall survival (OS). Lasso multivariate evaluation demonstrated that AKAP12 and IGFBP4 are independent prognostic factors for CLL. Kaplan-Meier survival analysis revealed a significant association between the estimated risk score and survival. The area under the receiver operating characteristics (ROC) curve (AUC) was calculated to be 0.97, indicating high predictive accuracy. In addition, high AKAP12 and IGFBP4 risk score was associated with the high incidence of trisomy 12q. Conclusion: Taken together, AKAP12 and IGFBP4 are independent prognostic factors for CLL

Supplementary Material for: AKAP12 and IGFBP4 are prognostic factors for chronic lymphocytic leukemia

Introduction: To develop a prognostic model for chronic lymphocytic leukemia (CLL). Methods: GEO2R was used to retrieve the gene expression data of CLL and normal B cells from the Gene Expression Omnibus (GEO, GSE22529 and GSE50006 datasets) database. Perl (Practical Extraction and Report Language) was used to extract the gene expression and overall survival (OS) data of CLL patients from the CLLE-ES project in the ICGC (International Cancer Genome Consortium) database. Cox regression with Lasso was used to create and validate a prognostic model for CLL. Results: A total of 267 genes exhibited differential expression between CLL and normal B cells. Uni-Cox analysis identified 14 DEGs that correlated with overall survival (OS). Lasso multivariate evaluation demonstrated that AKAP12 and IGFBP4 are independent prognostic factors for CLL. Kaplan-Meier survival analysis revealed a significant association between the estimated risk score and survival. The area under the receiver operating characteristics (ROC) curve (AUC) was calculated to be 0.97, indicating high predictive accuracy. In addition, high AKAP12 and IGFBP4 risk score was associated with the high incidence of trisomy 12q. Conclusion: Taken together, AKAP12 and IGFBP4 are independent prognostic factors for CLL

Supplementary Material for: AKAP12 and IGFBP4 are prognostic factors for chronic lymphocytic leukemia

Introduction: To develop a prognostic model for chronic lymphocytic leukemia (CLL). Methods: GEO2R was used to retrieve the gene expression data of CLL and normal B cells from the Gene Expression Omnibus (GEO, GSE22529 and GSE50006 datasets) database. Perl (Practical Extraction and Report Language) was used to extract the gene expression and overall survival (OS) data of CLL patients from the CLLE-ES project in the ICGC (International Cancer Genome Consortium) database. Cox regression with Lasso was used to create and validate a prognostic model for CLL. Results: A total of 267 genes exhibited differential expression between CLL and normal B cells. Uni-Cox analysis identified 14 DEGs that correlated with overall survival (OS). Lasso multivariate evaluation demonstrated that AKAP12 and IGFBP4 are independent prognostic factors for CLL. Kaplan-Meier survival analysis revealed a significant association between the estimated risk score and survival. The area under the receiver operating characteristics (ROC) curve (AUC) was calculated to be 0.97, indicating high predictive accuracy. In addition, high AKAP12 and IGFBP4 risk score was associated with the high incidence of trisomy 12q. Conclusion: Taken together, AKAP12 and IGFBP4 are independent prognostic factors for CLL

Supplementary Material for: AKAP12 and IGFBP4 are prognostic factors for chronic lymphocytic leukemia

Introduction: To develop a prognostic model for chronic lymphocytic leukemia (CLL). Methods: GEO2R was used to retrieve the gene expression data of CLL and normal B cells from the Gene Expression Omnibus (GEO, GSE22529 and GSE50006 datasets) database. Perl (Practical Extraction and Report Language) was used to extract the gene expression and overall survival (OS) data of CLL patients from the CLLE-ES project in the ICGC (International Cancer Genome Consortium) database. Cox regression with Lasso was used to create and validate a prognostic model for CLL. Results: A total of 267 genes exhibited differential expression between CLL and normal B cells. Uni-Cox analysis identified 14 DEGs that correlated with overall survival (OS). Lasso multivariate evaluation demonstrated that AKAP12 and IGFBP4 are independent prognostic factors for CLL. Kaplan-Meier survival analysis revealed a significant association between the estimated risk score and survival. The area under the receiver operating characteristics (ROC) curve (AUC) was calculated to be 0.97, indicating high predictive accuracy. In addition, high AKAP12 and IGFBP4 risk score was associated with the high incidence of trisomy 12q. Conclusion: Taken together, AKAP12 and IGFBP4 are independent prognostic factors for CLL