bluuebunny/crossref_metadata_2025_split huggingface dataset:
Development and verification of a 7-lncRNA prognostic model based on tumor immunity for patients with ovarian cancer
Authors: Feng Jing , Yu Yiping , Yin Wen , Qian Sumin 
Published: February 2023

Abstract
Background
Both immune-reaction and lncRNAs play significant roles in the proliferation, invasion, and metastasis of ovarian cancer (OC). In this study, we aimed to construct an immune-related lncRNA risk model for patients with OC.

Method
Single sample GSEA (ssGSEA) algorithm was used to analyze the proportion of immune cells in The Cancer Genome Atlas (TCGA) and the hclust algorithm was used to conduct immune typing according to the proportion of immune cells for OC patients. The stromal and immune scores were computed utilizing the ESTIMATE algorithm. Weighted gene co-expression network analysis (WGCNA) and differentially expressed genes (DEGs) analyses were utilized to detect immune cluster-related lncRNAs. The least absolute shrinkage and selection operator (LASSO) regression was conducted for lncRNA selection. The selected lncRNAs were used to construct a prognosis-related risk model, which was then validated in Gene Expression Omnibus (GEO) database and in vitro validation.

Results
We identify two subtypes based on the ssGSEA analysis, high immunity cluster (immunity_H) and low immunity cluster (immunity_L). The proportion of patients in immunity_H cluster was significantly higher than that in immunity_L cluster. The ESTIMATE related scores are relative high in immunity_H group. Through WGCNA and LASSO analyses, we identified 141 immune cluster-related lncRNAs and found that these genes were mainly enriched in autophagy. A signature consisting of 7 lncRNAs, including AL391832.3, LINC00892, LINC02207, LINC02416, PSMB8.AS1, AC078788.1 and AC104971.3, were selected as the basis for classifying patients into high- and low-risk groups. Survival analysis and area under the ROC curve (AUC) of the signature pointed out that this risk model had high accuracy in predicting the prognosis of patients with OC. We also conducted the drug sensitive prediction and found that rapamycin outperformed in patient with high risk score. In vitro experiments also confirmed our prediction.

Conclusions
We identified 7 immune-related prognostic lncRNAs that effectively predicted survival in OC patients. These findings may offer a valuable indicator for clinical stratification management and personalized therapeutic options for these patients.
Expression of integrin β-7 is epigenetically enhanced in multiple myeloma subgroups with high-risk cytogenetics
Authors: Roy Choudhury Samrat , Byrum Stephanie D. , Alkam Duah , Ashby Cody , Zhan Fenghuang , Tackett Alan J. , Van Rhee Frits 
Published: February 2023

Abstract
Background
Oncogenic overexpression of integrin-β7 (ITGB7) in cases of high-risk multiple myeloma (MM) was reported to promote enhanced interactions between neoplastic plasma-B cells and stromal cells to develop cell-adhesion mediated drug resistance.

Methods
Expression profiles of adhesion related genes were analyzed in a cohort of MM patients containing major IgH translocations or hyperdiploidies (HY), diagnosed at the premalignant monoclonal gammopathy of undetermined significance (MGUS; n = 103), smoldering multiple myeloma; (SMM; n = 190) or MM (MM; n = 53) stage. Differential expression was integrated with loci-specific alterations in DNA-methylation and chromatin marks in MM patients. A CRISPR-based targeted induction of DNA-methylation at the ITGB7 super-enhancer (SE) in MM.1S cells was employed to intersect the impact of cis-regulatory elements on ITGB7 expression.

Results
ITGB7 was significantly (p < 0.05) upregulated in patients with t(14;16) and t(14;20) subgroups in all MGUS, SMM and MM stages, but sporadically upregulated in t(4;14) subgroup at the MM stage. We demonstrate a predetermined enhancer state on ITGB7 in primary-B cells that is maintained under bivalent chromatin, which undergoes a process of chromatin-state alterations and develops into an active enhancer in cases of the t(4;14) subgroup or SE in cases of the t(14;16) subgroup. We also demonstrate that while targeted induction of DNA-methylation at the ITGB7-SE further upregulated the gene, inhibition of ITGB7-SE-associated transcription factor bromodomain-4 downregulated expression of the gene.

Conclusions
Our findings suggest an epigenetic regulation of oncogenic overexpression of ITGB7 in MM cells, which could be critical in MM progression and an attractive therapeutic target.
Predicting high health-cost users among people with cardiovascular disease using machine learning and nationwide linked social administrative datasets
Authors: Nghiem Nhung , Atkinson June , Nguyen Binh P. , Tran-Duy An , Wilson Nick 
Published: February 2023

Abstract
Objectives
To optimise planning of public health services, the impact of high-cost users needs to be considered. However, most of the existing statistical models for costs do not include many clinical and social variables from administrative data that are associated with elevated health care resource use, and are increasingly available. This study aimed to use machine learning approaches and big data to predict high-cost users among people with cardiovascular disease (CVD).

Methods
We used nationally representative linked datasets in New Zealand to predict CVD prevalent cases with the most expensive cost belonging to the top quintiles by cost. We compared the performance of four popular machine learning models (L1-regularised logistic regression, classification trees, k-nearest neighbourhood (KNN) and random forest) with the traditional regression models.

Results
The machine learning models had far better accuracy in predicting high health-cost users compared with the logistic models. The harmony score F1 (combining sensitivity and positive predictive value) of the machine learning models ranged from 30.6% to 41.2% (compared with 8.6–9.1% for the logistic models). Previous health costs, income, age, chronic health conditions, deprivation, and receiving a social security benefit were among the most important predictors of the CVD high-cost users.

Conclusions
This study provides additional evidence that machine learning can be used as a tool together with big data in health economics for identification of new risk factors and prediction of high-cost users with CVD. As such, machine learning may potentially assist with health services planning and preventive measures to improve population health while potentially saving healthcare costs.
Science communication on the public health risks of air pollution: a computational scoping review from 1958 to 2022
Authors: Pfleger Elisabeth , Adrian Christoph , Lutz Regina , Drexler Hans 
Published: February 2023

Abstract
Background
Air pollutants are a health risk for the entire population. Particulate matter (PM) including the smallest fraction, ultra-fine particles (UFP), therefore continue to be the focus of scientific research in this area. To protect the population from the harmful effects of exposure to PM, communication and information of research results are of special relevance as individuals with heightened awareness of the harms of poor air quality are more likely to take action to improve their exposure.

Methods
We conducted a scoping review of the scientific literature on science communication of public health information about risks associated with air pollutants to generate an initial over-view of existing research in this field. We searched the PubMed and Scopus databases and analyzed the data using a structured topic modeling (STM) approach.

Results
The existing scientific literature dates back to 1958 but increases significantly from the 1990s onwards. Publications are mainly found in the discipline of environmental research and are primarily concerned with health effects. It is often stated that adequate communication of the results to the public would be important, but specific approaches are rare. Overall, the topic of risk communication seems to be underrepresented for both air pollutants and UFP.

Conclusions
To protect public health, it is important to conduct more intensive science and risk communication related to scientific findings on the risks of air pollutants. For adequate communication and information, further research is needed to provide specific approaches that also involve the affected population and take different target groups into account. In addition, the effectiveness of communication efforts should also be analyzed.
Longitudinal DNA methylation analysis of adult-type IDH-mutant gliomas
Authors: Ferreyra Vega Sandra , Olsson Bontell Thomas , Kling Teresia , Jakola Asgeir Store , Carén Helena 
Published: February 2023

AbstractDiffuse gliomas are the most prevalent malignant primary brain tumors in adults and remain incurable despite standard therapy. Tumor recurrence is currently inevitable, which contributes to a persistent high morbidity and mortality in these patients. In this study, we examined the genome-wide DNA methylation profiles of primary and recurrent adult-type IDH-mutant gliomas to elucidate DNA methylation changes associated with tumor progression (with or without malignant transformation). We analyzed DNA methylation profiles of 37 primary IDH-mutant gliomas and 42 paired recurrences using the DNA methylation EPIC beadChip array. DNA methylation-based classification reflected the tumor progression over time. We observed a methylation subtype switch in a proportion of IDH-mutant astrocytomas; the primary tumors were subclassified as low-grade astrocytomas, which progressed to high-grade astrocytomas in the recurrent tumors. The CNS WHO grade 4 IDH-mutant astrocytomas did not always resemble methylation subclasses of higher grades. The number of differentially methylated CpG sites increased over time, and astrocytomas accumulated more differentially methylated CpG sites than oligodendrogliomas during tumor progression. Few differentially methylated CpG sites were shared between patients. We demonstrated that DNA methylation profiles are mostly maintained during IDH-mutant glioma progression, but CpG site-specific methylation alterations can occur.
Advances in the modeling of the Iberian thermal lithosphere and perspectives on deep geothermal studies
Authors: Torne M. , Jiménez-Munt I. , Negredo A. M. , Fullea J. , Vergés J. , Marzán I. , Alcalde J. , Gómez-Rivas E. , de la Noceda C. García 
Published: February 2023

AbstractRenewable energy sources are key to achieve the transition toward clean energy system. Among them, the geothermal energy has a production whose effectiveness requires sufficient understanding of the temperature distribution and fluid circulation at depth, as well as of the lithological and petrophysical properties of the crust. The focus of this paper is twofold: first, we summarize the main advances in the development of new methodologies and numerical codes to characterize the properties of the thermal lithosphere in terms of its, temperature, density and composition; second, based on the compilation of available thermal modelling results, we present the depth of the thermal Lithosphere–Asthenosphere Boundary (LAB) of the Iberian Peninsula and the temperature distribution at crustal depths of 5, 10, and 20 km, in addition to at Moho level. At 5 km depth, the temperature is above 110 °C with local anomalies (> 130 °C) located in the Iberian Massif and Cenozoic volcanic provinces. A similar pattern is observed at 10 and 20 km depth, where temperatures are above 190 °C and 350 °C, respectively. At 20 km depth, anomalies above > 500 °C, delineate the SE and NE Cenozoic volcanic provinces. At Moho depths, temperature ranges from 450 to 800 °C with hot regions mainly located along the Iberian Massif and the SE and NE volcanic provinces. The compiled results do not show any lithospheric anomaly that could give rise to high temperatures at shallow depths, but they do show an acceptable exploitation potential at intermediate depths. With regard to the direct use of district and greenhouse heating and for industrial processes, the potential is great throughout the Peninsula, the main challenges being the availability of groundwater and drilling costs.
Doping TiO2 with Fe from iron rusty waste for enhancing its activity under visible light in the Congo red dye photodegradation
Authors: Wahyuni Endang Tri , Lestari Novianti Dwi , Cinjana Ibanez Rosesya , Annur Syafriyanti , Natsir Taufik Abdillah , Mudasir Mudasir 
Published: February 2023

AbstractAn afford to enhance TiO2 activity under visible light as well as to utilize the iron rusty waste, has been conducted by doping Fe from the waste into TiO2. The doping was performed by sol-gel method of titania tetra isopropoxide with Fe3+ ions dissolved from the iron rust waste. In the doping, the concentration of Fe3+ was varied giving various mole ratios of TiO2:Fe. The doped TiO2 photocatalysts were characterized using FTIR, XRD, SRUV, and SEM-EDX instruments. The photocatalytic activity of the doped TiO2 was evaluated by photodegradation of Congo red under visible light. The effect of some parameters that govern the photodegradation process such as the amount of Fe dopant, reaction time, photocatalyst mass, solution pH, and initial concentration of dye was also studied. The characterization results reveal that Fe3+ ions from the rusty waste have been doped into TiO2 which can remarkably narrow the band gap energy (Eg), shifting into the visible zone. In accordance, the activity of TiO2 under visible light in the dye photodegradation is considerably enhanced. The Eg decreasing and actively improving the doped TiO2 are controlled by the amount of Fe dopant, and the most effective Eg decreasing is shown by TiO2–Fe (1:0.8), but the highest activity is observed for TiO2–Fe (1:0.4). It is also found that the highest photodegradation of Congo red 5 mg/L in 50 mL of the solution over TiO2–Fe (1:0.4) under visible light, that is about 99%, can be reached by applying 60 mg of the photocatalyst mass, in 60 min, and solution pH 5. It is implied that the rusty waste can be utilized to prepare the visible responsive photocatalyst that can be used for preventing dye pollution.
Geometries of Fractals and Power: Transnational Marriages, Translocal Marriages, and Asia's Global Ruralities
Authors: Nguyen Linh Khanh 
Published: February 2023

Abstract
In much of the mobilities literature, a dichotomy exists between the urban and rural. The bulk of studies view the urban as a receiving center, one that is cosmopolitan, diverse, and dynamic, while conflating the rural into its opposite: a backward, boring, and unchanging place that sends people away. This split ignores the similarities between the urban and the rural and the complexities of the modern rural. This study, based on twenty months of ethnographic fieldwork, uses a rural community in Vietnam as a node to explore the interconnecting transformations among Asia's rural areas. Findings reveal how rural changes in South Korea have created corresponding changes in rural areas in Vietnam through transnational and translocal rural marriages. Given the nuanced revelations of the ways in which the rural forms and changes, this article calls for its reconceptualization and demonstrates that, similar to the urban, the rural too can be global, heterogeneous, and transformative.
Foreign Bodies: Horror and Intimacy in Singapore's Migrant Labor Regimes
Authors: Johnson Andrew Alan 
Published: February 2023

AbstractSingapore depends upon foreign bodies to maintain its hypermodern, sleek exterior. For many Singaporeans, a live-in foreign domestic worker (FDW) marks a milestone in achieving a certain kind of bourgeois lifestyle, but the incorporation of a stranger into the household gives rise to certain fears. Intimate labor evokes unexpected feelings, and anxieties about the boundaries of class, nation, gender. In tabloid articles, message boards, and everyday conversation, employers discuss the problem of witchcraft practiced by FDWs—stories such as the incorporation of bodily fluids into employers’ food, the unwanted generation of affection or warm feelings toward those who according to labor contracts should be employees, the surreptitious switching of FDWs’ facial features with those of the employer's children, or other concerns over boundaries and their violation. This article argues that the horror revealed by such stories is one that challenges Singaporean claims to ethnic and economic supremacy in the region, as it points to a return of a perceived threat from an allochronous rural world. Each presents a particular challenge to a sealed, prosperous, “first world” Singaporean self-imagining, a porosity that calls for magical and magico-bureaucratic interventions to set right.
Crazy English: Nation Strengthening and the Changing Politics of Neoliberal Selfhood in Reform-Era China
Authors: Iskra Anna 
Published: February 2023

AbstractSince the late 1990s, China has experienced an explosion of popular interest in English language study. This nationwide “English fever” reflects how, with the global spread of neoliberal doctrines that were gradually adopted by Chinese governments, English was naturalized as the language of competitiveness and entrepreneurialism. While there is a growing body of literature examining the English-learning craze as a facet of the transnational neoliberalization processes, this anthropological study focuses on the frictions generated in the encounter of English, conceived as a neoliberal technology of the self, with the Chinese nation-state. It examines the understudied phenomenon of Crazy English, a language-teaching enterprise that received unprecedented state patronage among such edu-businesses in the decade of 1998–2008. Conceptualizing Crazy English as a self-cultivation method provides insights into how English study in turn-of-the-century China embodied tensions between key values that characterized the state's project of desirable citizenship: entrepreneurialism and patriotism. Through the idealization and promotion of the new exemplary model of the “wolf entrepreneur,” Chinese state agents, edu-entrepreneurs, and citizen-learners sought to reconcile their desires to simultaneously participate in neoliberal globalization and protect their cultural identities and national interests.
Working Worlds in Neoliberal Japan: Precarity, Imagination, and the “Other-World” Trope
Authors: Hack Brett 
Published: February 2023

Abstract
This article analyzes depictions of work in postmillennial Japanese media, particularly anime and manga, in order to theorize the function of imaginative responses to the social dislocations of neoliberalism. Critical studies of precarity in Japanese popular culture have tended to treat depictions of work as direct representations of actual socioeconomic conditions, overlooking the affective, experiential dimensions of mediated work images and their potential for imagining social relations beyond imposed precarity. The article explores this neglected potential by focusing on the anime and manga trope of isekai (other-world), which depicts life and work in a fantastic environment. These depictions are compared with analogues in live-action films and television during the period of Japan's neoliberalization. Invoking philosophical concepts of social imagination and drawing on autonomist theory for inspiration regarding the visualization of postcapitalist sociality, analysis will demonstrate how their imaginative responses can produce visions of collectivity amenable to postcapitalist projects without explicitly political content. The article hopes to draw out latent capacities within superficially escapist media forms and offer a possible counternarrative to pessimistic discourses about popular culture.
Hope without a Future: Conflicts between Time and Place in Japan after 3/11
Authors: Berman Michael 
Published: February 2023

Abstract
In Kamaishi, a city in the Tōhoku region of Japan, the aging of the population and the 2011 earthquake and tsunami changed people's relationships to time and place. For many people, “time stopped” when disaster struck. That stoppage compounded a weakening of the appeal of the future that had come with deindustrialization. Despite people's lack of expectations for the future, “hope,” which is most frequently conceptualized as an orientation toward a not-yet, was a recurring theme there. This article argues that the form of hope most prevalent among people who lost their homes in the 2011 disasters relied on repetition and the creation of places of refuge. In those particular places, people could use the stoppage of time to their advantage by avoiding the pain of the recent past and the foreseeable future. Ironically, reporters and academics have raised the activities of people in Kamaishi as an example of hope for Japan's future. That is, people closer to suffering focused on place-based hope, whereas people at a distance transformed the struggle to create those places into a vision of the future, which sometimes made it difficult for survivors’ hope to endure.
Clinical effects of Chemotherapy combined with Immunotherapy in patients with advanced NSCLC and the effect on their nutritional status and immune function
Authors: Jiao Meng , Jiao Jin , Li Wen-wen , Shang Yan-hong , Li Xiao-fang 
Published: February 2023

Objectives: To evaluate the clinical effects of chemotherapy combined with immunotherapy in patients with advanced non-small-cell lung cancer (NSCLC) and the effect on their nutritional status and immune function.
Methods: Total 120 patients with advanced NSCLC admitted to Affiliated Hospital of Hebei University from May 2019 to October 2021 were randomly divided into two groups (n= 60, respectively). Patients in the control group were treated by chemotherapy with cisplatin-paclitaxel (TP) alone: 120 mg/m2 paclitaxel was used on d1; and 25mg/m2 cisplatin (CDDP) was used for more than two hour, once every 14 days, for three consecutive three cycles. Patients in the study group were additionally given 200 mg sindilizumab by intravenous drip, once every three weeks. The contrastive analysis of clinical effects, the incidence of adverse reactions, improvement of the nutrient index and the changes in levels of CD3+, CD4+, CD8+, and CD4+/CD8+ in T-lymphocyte subsets was performed between the two groups.
Results: The overall response rate (ORR) was 80% and 61% in the study group and the control group, respectively; and the difference was statistically significant (p=0.03); the contrast analysis of the incidence of post-treatment adverse drug reactions (ADRs) in patients in the two groups suggested that the incidence of adverse reactions was 33.3% and 45% in the study group and the control group, respectively; and the difference was not statistically significant (p=0.19). After the treatment, the improvement of hemoglobin, albumin, serum iron and ferritin levels in the study group was more significant than that in the control group; and the difference was statistically significant (p < 0.05). After the treatment, the levels of CD3+, CD4+ and CD4+/CD8+ in the study group were much higher than those in the control group; and the difference was statistically significant (p < 0.05).
Conclusion: Chemotherapy combined with immunotherapy is effective in treating patients with advanced NSCLC without increasing the incidence of adverse reactions, and can significantly improve their nutritional status and T-lymphocyte function. This therapeutic regimen is of much higher clinical value than the chemotherapy-only regimen.
doi: https://doi.org/10.12669/pjms.39.2.6365
How to cite this: Jiao J, Li W, Shang Y, Li X, Jiao M. Clinical effects of Chemotherapy combined with Immunotherapy in patients with advanced NSCLC and the effect on their nutritional status and immune function. Pak J Med Sci. 2023;39(2):---------. doi: https://doi.org/10.12669/pjms.39.2.6365
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.