bluuebunny/crossref_metadata_2025_split huggingface dataset:
Dual-Lumen Stenting of Dissected Superior Mesenteric Artery During Fenestrated Branched Endovascular Repair of a Post-dissection Thoracoabdominal Aortic Aneurysm
Authors: DiBartolomeo Alexander D. , Miranda Elizabeth , Pyun Alyssa J. , Magee Gregory A. , Ziegler Kenneth R. , Paige Jacquelyn , Han Sukgu M. 
Published: July 2023

Purpose: Long-segment aortic branch dissections have been considered a relative contraindication for fenestrated-branched endovascular aneurysm repair (FB-EVAR). This case report describes a technique of dual-lumen stenting of a fully-dissected superior mesenteric artery (SMA) to preserve patency of the true and false lumens during FB-EVAR. Case Report: A 67-year-old man presented with a 6.0 cm extent III chronic post-dissection thoracoabdominal aortic aneurysm. The patient had highly-complex anatomy including dissection of the entire SMA. The true and false lumens of the dissected SMA were noted to be supplying different branches, requiring preservation of both lumens. The patient underwent a staged physician-modified FB-EVAR. A modified endograft containing 5 fenestrations and 1 branch cuff was introduced and the celiac, true-lumen SMA, and 3 renal arteries were sequentially catheterized using staggered deployment of the modified endograft. The false lumen SMA stent was catheterized via the branch cuff. Molded parallel grafting (“eye-of-the-tiger”) technique was used to achieve double D configuration between the true and false lumens of the SMA. Conclusion: This case demonstrates feasibility of dual-lumen stenting to incorporate dissected target vessels during FB-EVAR while preserving flow to both the true and false lumens and the second-order branches they supply. Clinical Impact We report a novel technique that allows incorporation of branch vessels affected by long segment dissection during fenestrated branched endovascular aortic repairs. This has potential advantage of preserving flow to all secondary branches of the dissected target vessels, while reducing the risk of type Ic endoleak.
HORMONET: a phase II trial of tamoxifen for estrogen/progesterone receptor-positive neuroendocrine tumors
Authors: Barros Milton J. , Strosberg Jonathan , Al-Toubah Taymeyah , de Jesus Victor Hugo F. , Durant Lais , Mello Celso A. , Felismino Tiago C. , De Brot Louise , Taboada Rodrigo G. , Donadio Mauro D. , Riechelmann Rachel P. 
Published: July 2023

Background: Nearly 30% of neuroendocrine tumors (NETs) have evidence of immunohistochemical (IHC) expression of estrogen (ER) and/or progesterone (PR) receptors. Therefore, targeting ER/PR may offer an effective NET-directed treatment to select patients. Methods: We conducted a multicenter Simon two-stage single-arm phase II trial of tamoxifen in patients with metastatic, progressive NETs. Eligible patients had positive IHC expression of ER and/or PR ⩾ 1%. Prior therapy with somatostatin analogs was required for progressing/functioning cases. Main exclusion criterion was aggressive disease requiring cytotoxic therapy. The primary end point was disease control rate (DCR) at week 24 by Response Evaluation Criteria in Solid Tumors version 1.1. We planned to enroll 23 patients in the first stage, to reach a DCR at week 24 of 70% ( versus 50%); if ⩾12 patients reached the primary end point, a total of 37 would be included. Results: From February 2019 to February 2022, 23 out of 59 patients were eligible and enrolled: 15 (65%) were females; the most common sites were pancreas (11; 48%) and small bowel (6; 26%). In all, 13 patients (56.5%) had G2 NETs. At a median follow-up of 27 months, 13 patients (56.5%) had stable disease at week 24 and median progression-free survival (PFS) was 7.9 months [interquartile range (IQR): 3.7–12.1]. The best response was stable disease in 13 patients, with most patients experiencing minor tumor growth. Median PFS times were not significantly different according to ER/PR < or ⩾30% ( p = 0.49) or ER versus PR expression ( p = 0.19). One patient experienced grade 2 constipation. Conclusion: Tamoxifen for ER-/PR-positive NETs patients is safe but offers modest antitumor effects. Trial registry name: Study of Tamoxifen in Well Differentiated Neuroendocrine Tumors and Hormone Receptor Positive Expression (HORMONET). URL: https://clinicaltrials.gov/ct2/show/NCT03870399?term=03870399&draw=2&rank=1 Registration number: NCT03870399
Oral enzyme combination with bromelain, trypsin and the flavonoid rutoside reduces systemic inflammation and pain when used pre- and post-operatively in elective total hip replacement: a randomized exploratory placebo-controlled trial
Authors: Vosáhlo Jiří , Salus Adam , Smolko Michael , Němcová Barbora , Nordmeyer Veit , Mikles Milos , Rau Stefanie M. , Erik Johansen Odd 
Published: July 2023

Background: Early mobilization after total hip replacement (THR) is key for fast recovery but is often limited by pain. Oral enzyme combinations (OECs) have demonstrated anti-inflammatory and pain-relieving effects. Objectives and design: This prospective, randomized, double-blind, placebo-controlled exploratory trial evaluated the effects of pre- and post-operative use of OEC (90 mg bromelain, 48 mg trypsin, 100 mg rutoside) following elective THR, on post-operative recovery. Methods: Candidates for primary elective cementless THR owing to osteoarthritis were eligible for participation [age ⩾50 years, body mass index 25–35 kg/m2, C-reactive protein (CRP) ⩽6 mg/L]. Following randomization to OEC or placebo, intervention started pre-operatively and continued onwards until day 42. Main outcomes included post-operative CRP levels (days 1–7), self-reported hip pain at rest (by 0–10 cm visual analogue scale on post-operative days 1–42), post-operative analgesic use [by cumulative analgesic consumption score (CACS) days 7–42], tolerability and adverse events. Results: Patients ( N = 34) were recruited from a tertiary orthopaedic hospital in the Czech Republic, of whom 33 completed the study (OEC/placebo: n = 15/18). Baseline characteristics across the groups were comparable. Compared with placebo, the OEC group had numerically lower CRP levels on post-operative days 1–7, including peak level [mean (standard deviation) OEC versus placebo: 81.4 (28.3) versus 106.7 (63.3) mg/L], which translated into a significant 32% lower CRP area under the curve ( p = 0.034). The OEC group reported significantly less pain during post-operative days 1–7 versus placebo (analysis of variance treatment × visit [ F(4) = 3.989]; p = 0.005). Analgesic use was numerically reduced as assessed through an accumulated CACS. No deleterious effects on haemorheological parameters were observed in either group. Conclusions: Pre- and post-operative use of OEC significantly reduced CRP levels and patient self-reported pain. OEC may be an efficacious and safe treatment option to facilitate post-operative recovery following THR. Trial registration: EudraCT number 2016-003078-41
Finding its place on the spectrum of pituitary duplication disorders, duplication of pituitary stalk: A case report with brief review of literature
Authors: Sethi Humsheer Singh , Agarwal Beena , Mohapatra Satya , Panda Adyakinkar 
Published: July 2023

Pituitary gland duplication is a rare abnormality and isolated duplication of the pituitary stalk without any pituitary anomaly is an even rarer entity with this case being the first documented case till date. Although incidentally discovered cases of duplication of pituitary gland (DPG) have been reported, sometimes with a duplicated pituitary stalk, patients with this disorder usually present with other craniofacial abnormalities. Consequently, DPG plus syndrome is used as it is often accompanied by endocrine disturbances and pathologies such as median cleft face syndrome, ocular disorders, craniocervical bony abnormalities, vascular anomalies and tuberomammillary masses. Since this is the first reported case without any additional pituitary gland anomaly, we propose the acronym DPS (duplication of pituitary stalk) to be used to unify this entity as we are certain that much like the previously described pituitary duplication disorders, more cases will be documented independently rather than under the umbrella of pituitary duplication disorders. This is critical as the life expectancy (age of diagnosis) in the cases reviewed in our study is as good as normal population with no obvious increase in mortality as compared to existing pituitary duplication syndromes. We present a case report of a 2 year 7 month old girl who was referred by the paediatrician for evaluation of premature thelarche. The duplication of the pituitary stalk along with mega cisterna magna and tuberomammillary fusion was the only positive finding on imaging with the pituitary gland being absolutely normal.
The IRDiRC Chrysalis Task Force: making rare disease research attractive to companies
Authors: Beaverson Katherine L. , Julkowska Daria , Letinturier Mary Catherine V. , Aartsma-Rus Annemieke , Austin Jennifer , Bueren Juan , Frost Simon , Hamamura Misako , Larkindale Jane , LaRosa Greg , Magenheim Rita , Merico Annamaria , Pasmooij Anna Maria Gerdina , Pirard Vinciane , Ekow Thomford Nicholas , Wada Michihiko , Wong-Rieger Durhane , Hartman Adam L. 
Published: July 2023

Background: The International Rare Diseases Research Consortium (IRDiRC) is an international initiative that aims to use research to facilitate rapid diagnosis and treatment of rare diseases. Objective: IRDiRC launched the Chrysalis Task Force to identify key financial and nonfinancial factors that make rare disease research and development attractive to companies. Methods: The Chrysalis Task Force was comprised of thought leaders from companies, patient advocacy groups, regulatory agencies, and research funders. The Task Force created a survey that was distributed to companies of different sizes with varied investment portfolios and interests in rare disease research. Based on the survey results, the Task Force then conducted targeted interviews. Results: The survey and interview respondents identified several factors that make rare disease research and development attractive (e.g. a good understanding of the underlying biology) as well as barriers (e.g. absence of an advocacy organization representing the affected community’s needs). The concept of Return On Investment allowed the exploration of factors that were weighed differently by survey and interview respondents, depending on a number of intrinsic and extrinsic issues. Conclusions: The Chrysalis Task Force identified factors attributable to rare disease research and development that may be of interest to and actionable by funders, academic researchers, patients and their families, companies, regulators, and payers in the medium term to short term. By addressing the identified challenges, involved parties may seek solutions to significantly advance the research and development of treatments for rare diseases.
Cabazitaxel-loaded human serum albumin nanoparticles combined with TGFβ-1 siRNA lipid nanoparticles for the treatment of paclitaxel-resistant non-small cell lung cancer
Authors: Tan Tiantian , Feng Yuxin , Wang Weimin , Wang Rongrong , Yin Liyan , Zeng Yiying , Zeng Zhaowu , Xie Tian 
Published: July 2023

Abstract
Background
In the current treatment of non-small cell lung cancer (NSCLC), traditional chemotherapy causes high toxicity, so it is necessary to develop safe chemical drug delivery vehicles clinically. Chemotherapy monotherapy is prone to drug resistance. Chemotherapy combined with other therapies such as nucleic acid drugs is an effective way to avoid drug resistance and the toxicity of continuous chemotherapy. In this study, chemotherapy and siRNA therapy were combined to treat paclitaxel-resistant NSCLC in order to increase efficacy and reduce toxicity. This study aims to develop a cabazitaxel-loaded human serum albumin nanoparticles (CTX-HSA-NPs) to improve the toxicity of traditional CTX-Tween 80 and increase targeting, and to develop a TGFβ-1 siRNA lipid Nanoparticles (TGFβ-1 siRNA LNP) combined with chemotherapy in the treatment of paclitaxel-resistant NSCLC.

Results
This study prepared CTX-HSA-NPs and TGFβ-1 siRNA LNP had small particle size, high encapsulation efficiency (EE). CTX-HSA-NPs lyophilized powder has high stability after dissolved. The antitumor effect of CTX-HSA-NPs on paclitaxel-resistant NSCLC was higher than that of CTX-Tween, and the toxicity was 1.8 times lower than that of CTX-Tween. More importantly, the combined treatment of TGFβ-1 siRNA LNP and CTX-HSA-NPs could effectively improve the antitumor efficacy of paclitaxel-resistant NSCLC in vivo and in vitro. The results of tumor immunohistochemistry showed that TGFβ-1 siRNA LNP significantly inhibited the expression of TGFβ-1, and compared with other groups, the expression of P-gp after low-dose CTX-HSA-NPs treatment was lower, which did not cause obvious drug resistance.

Conclusions
The antitumor effect of CTX-HSA-NPs on paclitaxel-resistant NSCLC was higher than that of CTX-Tween, and the toxicity was lower than that of CTX-Tween. TGFβ-1 siRNA LNP can treat paclitaxel-resistant NSCLC by inhibiting the express of TGFβ-1 mRNA. The combined treatment of TGFβ-1 siRNA LNP and CTX-HSA-NPs could effectively improve the antitumor efficacy of paclitaxel-resistant NSCLC. A combination therapy of chemotherapy and nucleic acid drugs could be an effective approach for treating paclitaxel-resistant NSCLC.
Netrank: network-based approach for biomarker discovery
Authors: Al-Fatlawi Ali , Rusadze Eka , Shmelkin Alexander , Malekian Negin , Ozen Cigdem , Pilarsky Christian , Schroeder Michael 
Published: July 2023

Abstract
Background
Integrating multi-omics data is fast becoming a powerful approach for predicting disease progression and treatment outcomes. In light of that, we introduce a modified version of the NetRank algorithm, a network-based algorithm for biomarker discovery that incorporates the protein associations, co-expressions, and functions with its phenotypic association to differentiate different types of cancer. NetRank is introduced here as a robust feature selection method for biomarker selection in cancer prediction. We assess the robustness and suitability of the RNA gene expression data through scanning genomic data for 19 cancer types with more than 3000 patients from The Cancer Genome Atlas (TCGA).

Results
The results of evaluating different cancer type profiles from the TCGA data demonstrate the strength of our approach to identifying interpretable biomarker signatures for cancer outcome prediction. NetRank’s biomarkers segregate most cancer types with an area under the curve (AUC) above 90% using compact signatures.

Conclusion
In this paper we provide a fast and efficient implementation of NetRank, with a case study from The Cancer Genome Atlas, to assess the performance. We incorporated complete functionality for pre and post-processing for RNA-seq gene expression data with functions for building protein-protein interaction networks. The source code of NetRank is freely available (at github.com/Alfatlawi/Omics-NetRank) with an installable R library. We also deliver a comprehensive practical user manual with examples and data attached to this paper.
ROGUE: an R Shiny app for RNA sequencing analysis and biomarker discovery
Authors: Farrel Alvin , Li Peng , Veenbergen Sharon , Patel Khushbu , Maris John M. , Leonard Warren J. 
Published: July 2023

AbstractBackgroundThe growing power and ever decreasing cost of RNA sequencing (RNA-Seq) technologies have resulted in an explosion of RNA-Seq data production. Comparing gene expression values within RNA-Seq datasets is relatively easy for many interdisciplinary biomedical researchers; however, user-friendly software applications increase the ability of biologists to efficiently explore available datasets.ResultsHere, we describe ROGUE (RNA-Seq Ontology Graphic User Environment,https://marisshiny.research.chop.edu/ROGUE/), a user-friendly R Shiny application that allows a biologist to perform differentially expressed gene analysis, gene ontology and pathway enrichment analysis, potential biomarker identification, and advanced statistical analyses. We use ROGUE to identify potential biomarkers and show unique enriched pathways between various immune cells.ConclusionsUser-friendly tools for the analysis of next generation sequencing data, such as ROGUE, will allow biologists to efficiently explore their datasets, discover expression patterns, and advance their research by allowing them to develop and test hypotheses.
Network embedding framework for driver gene discovery by combining functional and structural information
Authors: Chu Xin , Guan Boxin , Dai Lingyun , Liu Jin-xing , Li Feng , Shang Junliang 
Published: July 2023

AbstractComprehensive analysis of multiple data sets can identify potential driver genes for various cancers. In recent years, driver gene discovery based on massive mutation data and gene interaction networks has attracted increasing attention, but there is still a need to explore combining functional and structural information of genes in protein interaction networks to identify driver genes. Therefore, we propose a network embedding framework combining functional and structural information to identify driver genes. Firstly, we combine the mutation data and gene interaction networks to construct mutation integration network using network propagation algorithm. Secondly, the struc2vec model is used for extracting gene features from the mutation integration network, which contains both gene's functional and structural information. Finally, machine learning algorithms are utilized to identify the driver genes. Compared with the previous four excellent methods, our method can find gene pairs that are distant from each other through structural similarities and has better performance in identifying driver genes for 12 cancers in the cancer genome atlas. At the same time, we also conduct a comparative analysis of three gene interaction networks, three gene standard sets, and five machine learning algorithms. Our framework provides a new perspective for feature selection to identify novel driver genes.
A Chinese scoring system for predicting successful retrograde collateral traverse in patients with chronic total coronary occlusion
Authors: Li Qiu Yu , Lin Xiao Long , Li Fan Qi , Cheng Zi Chao , Tian Jia Yu , Zhao Dong Hui , Lau Wayne Bond , Liu Jing Hua , Fan Qian 
Published: July 2023

Abstract
Background
Retrograde approach technique has been challenging in percutaneous coronary interventional treatment of chronic total occlusion (CTO) coronary disease. The present study endeavors to determine a novel Chinese scoring system for predicting successful collateral channels traverse via retrograde approach.

Methods
The demographic characteristics and angiographic characteristics of 309 CTO patient were analyzed by univariable and multivariable analysis for selecting potential predictors. And the nomogram was used to establish the scoring system. Then it was evaluated by the internal and external validation.

Results
The predictors of Age, Connections between collateral channels and recipient vessels, and Channel Tortuosity (ACT) were identified with univariable and multivariable analysis and employed to the ACT score system. With acceptable calibrations, the area under curve of the scoring system and the external validation were 0.826 and 0.816 respectively. Based on score, the predictors were divided into three risk categories and it showed a consistent prediction power in the validation cohort.

Conclusions
The novel Chinese ACT score is a reliable tool for predicting successful retrograde collateral traverse.
Capturing the variety of clinical pathways in patients with schizophrenic disorders through state sequences analysis
Authors: Savaré Laura , Ieva Francesca , Corrao Giovanni , Lora Antonio 
Published: July 2023

Abstract
Background
Care pathways are increasingly being used to enhance the quality of care and optimize the use of resources for health care. Nevertheless, recommendations regarding the sequence of care are mostly based on consensus-based decisions as there is a lack of evidence on effective treatment sequences. In a real-world setting, classical statistical tools were insufficient to consider a phenomenon with such high variability adequately and have to be integrated with novel data mining techniques suitable for identifying patterns in complex data structures. Data-driven techniques can potentially support empirically identifying effective care sequences by extracting them from data collected routinely. The purpose of this study is to perform a state sequence analysis (SSA) to identify different patterns of treatment and to asses whether sequence analysis may be a useful tool for profiling patients according to the treatment pattern.

Methods
The clinical application that motivated the study of this method concerns the mental health field. In fact, the care pathways of patients affected by severe mental disorders often do not correspond to the standards required by the guidelines in this field. In particular, we analyzed patients with schizophrenic disorders (i.e., schizophrenia, schizotypal or delusional disorders) using administrative data from 2015 to 2018 from Lombardy Region. This methodology considers the patient’s therapeutic path as a conceptual unit, composed of a succession of different states, and we show how SSA can be used to describe longitudinal patient status.

Results
We define the states to be the weekly coverage of different treatments (psychiatric visits, psychosocial interventions, and anti-psychotic drugs), and we use the longest common subsequences (dis)similarity measure to compare and cluster the sequences. We obtained three different clusters with very different patterns of treatments.

Conclusions
This kind of information, such as common patterns of care that allowed us to risk profile patients, can provide health policymakers an opportunity to plan optimum and individualized patient care by allocating appropriate resources, analyzing trends in the health status of a population, and finding the risk factors that can be leveraged to prevent the decline of mental health status at the population level.