scholarly journals Tonsillectomy and the incidence of various types of cancer

2021 ◽  
Author(s):  
Gábor Holló
Keyword(s):  
Individual Differences ◽  
Scientific Literature ◽  
Immune Reactions ◽  
Cancer Types

AbstractA potential connection between tonsillectomy and the development of various cancer types has repeatedly been reported in the scientific literature, but many studies have contradicted these observations. Thus, we have no clear evidence, neither to firmly support nor to refute the above-mentioned connection. Here, I suggest that the main reason for the lack of clearer evidence is that the investigations have so far mainly used incorrect sample groups. I propose that individual differences in the tonsils’ involvement in immune reactions should be taken into account to solve this long-standing puzzle.

scholarly journals Large-scale literature mining to assess the relation between anti-cancer drugs and cancer types

2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Chris Bauer ◽  
Ralf Herwig ◽  
Matthias Lienhard ◽  
Paul Prasse ◽  
Tobias Scheffer ◽  
...  
Keyword(s):  
Text Mining ◽  
Knowledge Base ◽  
Survival Data ◽  
Scientific Literature ◽  
Entity Recognition ◽  
Literature Mining ◽  
Cancer Drugs ◽  
Classical Text ◽  
Anti Cancer ◽  
Cancer Types

Abstract Background There is a huge body of scientific literature describing the relation between tumor types and anti-cancer drugs. The vast amount of scientific literature makes it impossible for researchers and physicians to extract all relevant information manually. Methods In order to cope with the large amount of literature we applied an automated text mining approach to assess the relations between 30 most frequent cancer types and 270 anti-cancer drugs. We applied two different approaches, a classical text mining based on named entity recognition and an AI-based approach employing word embeddings. The consistency of literature mining results was validated with 3 independent methods: first, using data from FDA approvals, second, using experimentally measured IC-50 cell line data and third, using clinical patient survival data. Results We demonstrated that the automated text mining was able to successfully assess the relation between cancer types and anti-cancer drugs. All validation methods showed a good correspondence between the results from literature mining and independent confirmatory approaches. The relation between most frequent cancer types and drugs employed for their treatment were visualized in a large heatmap. All results are accessible in an interactive web-based knowledge base using the following link: https://knowledgebase.microdiscovery.de/heatmap. Conclusions Our approach is able to assess the relations between compounds and cancer types in an automated manner. Both, cancer types and compounds could be grouped into different clusters. Researchers can use the interactive knowledge base to inspect the presented results and follow their own research questions, for example the identification of novel indication areas for known drugs.

scholarly journals Large-scale literature mining to assess the relation between anti-cancer drugs and cancer types.

2021 ◽  
Author(s):  
Chris Bauer ◽  
Ralf Herwig ◽  
Matthias Lienhard ◽  
Paul Prasse ◽  
Tobias Scheffer ◽  
...  
Keyword(s):  
Text Mining ◽  
Knowledge Base ◽  
Survival Data ◽  
Scientific Literature ◽  
Entity Recognition ◽  
Literature Mining ◽  
Cancer Drugs ◽  
Classical Text ◽  
Anti Cancer ◽  
Cancer Types

Abstract Background There is a huge body of scientific literature describing the relation between tumor types and anti-cancer drugs. The vast amount of scientific literature makes it impossible for researchers and physicians to extract all relevant information manually. Methods In order to cope with the large amount of literature we apply an automated text mining approach to assess the relations between 30 most frequent cancer types and 270 anti-cancer drugs. We apply two different approaches, a classical text mining based on named entity recognition and an AI-based approach employing word embeddings. The consistency of literature mining results is validated with 3 independent methods: first, using data from FDA approval, second, using experimentally measured IC-50 cell line data and third, using clinical patient survival data. Results We demonstrate that the automated text mining is able to successfully assess the relation between cancer types and anti-cancer drugs. All validation methods show a good correspondence between the results from literature mining and independent confirmatory approaches. The relation between most frequent cancer types and drugs employed for their treatment are visualization in a large heatmap. All results are made accessible in an interactive web-based knowledge base using the following link: https://knowledgebase.microdiscovery.de/heatmap Conclusions Our approach is well suited to assess the relations between compounds and cancer types in an automated manner. Both, cancer types and compounds can be grouped into different clusters. Researchers can use the interactive knowledge base to inspect the presented results and follow their own research questions.

Who Feels Sympathy for Roosters Used in Cockfighting? Examining the Influence of Feelings, Belief in Animal Mind, Personality, and Empathy-Related Traits

2012 ◽  
Vol 20 (4) ◽  
pp. 327-341
Author(s):  
Sherman A. Lee ◽  
Linsey Quarles
Keyword(s):  
Individual Differences ◽  
Scientific Literature ◽  
Emotional Reactions ◽  
The Other ◽  
Animal Suffering ◽  
Animal Mind ◽  
Other Hand ◽  
Dog Fighting ◽  
The Relationship

Abstract Since the 2007 Vick dog-fighting case, much attention has been focused on cruelty against dogs. Cockfighting roosters, on the other hand, have been virtually ignored by scientists and laypeople alike. Accordingly, very little is known about our emotional reactions to roosters used for cockfighting. The present study attempts to fill this void in the scientific literature by examining the relationship between individual differences variables and sympathetic reactions to roosters used for cockfighting depicted in a video newscast. The results were robust, with individual differences variables explaining 51% of the variability in sympathetic reactions to cockfighting roosters. Specifically, feelings toward roosters, extraversion, conscientiousness, and trait sympathy for animal suffering emerged as significant predictors, while belief in animal mind did not. The implications and limitations of these results are discussed.

scholarly journals Curcumin: Total-Scale Analysis of the Scientific Literature

Molecules ◽  
2019 ◽  
Vol 24 (7) ◽  
pp. 1393 ◽  
Author(s):  
Andy Wai Kan Yeung ◽  
Michal Horbańczuk ◽  
Nikolay T. Tzvetkov ◽  
Andrei Mocan ◽  
Simone Carradori ◽  
...  
Keyword(s):  
Web Of Science ◽  
Scientific Literature ◽  
The United States ◽  
Potential Health ◽  
Scientific Disciplines ◽  
Total Publication ◽  
Cancer Types ◽  
Prostate Cancers ◽  
Meta Analyses ◽  
And Oxidative Stress

The current study aimed to provide a comprehensive bibliometric overview of the literature on curcumin, complementing the previous reviews and meta-analyses on its potential health benefits. Bibliometric data for the current analysis were extracted from the Web of Science Core Collection database, using the search string TOPIC=(“curcumin*”), and analyzed by the VOSviewer software. The search yielded 18,036 manuscripts. The ratio of original articles to reviews was 10.4:1. More than half of the papers have been published since 2014. The major contributing countries were the United States, China, India, Japan, and South Korea. These publications were mainly published in journals representing the following scientific disciplines: biochemistry, chemistry, oncology, and pharmacology. There was a significant positive correlation between the total publication count and averaged citations per manuscript for affiliations, but not for countries/regions and journals. Chemicals that were frequently mentioned in the keywords of evaluated curcumin publications included curcuminoids, resveratrol, chitosan, flavonoids, quercetin, and polyphenols. The literature mainly focused on curcumin’s effects against cancer, inflammation, and oxidative stress. Cancer types most frequently investigated were breast, colon, colorectal, pancreatic, and prostate cancers.

scholarly journals Imbalance of Mg Homeostasis as a Potential Biomarker in Colon Cancer

Diagnostics ◽  
2021 ◽  
Vol 11 (4) ◽  
pp. 727
Author(s):  
Davide Schiroli ◽  
Chiara Marraccini ◽  
Eleonora Zanetti ◽  
Moira Ragazzi ◽  
Alessandra Gianoncelli ◽  
...  
Keyword(s):  
Fluorescence Microscopy ◽  
Scientific Literature ◽  
Tissue Expression ◽  
Proof Of Concept ◽  
Tissue Samples ◽  
X Ray ◽  
Potential Biomarker ◽  
Cancer Types ◽  
Prospective Investigation

Background: Increasing evidences support a correlation between magnesium (Mg) homeostasis and colorectal cancer (CRC). Nevertheless, the role of Mg and its transporters as diagnostic markers in CRC is still a matter of debate. In this study we combined X-ray Fluorescence Microscopy and databases information to investigate the possible correlation between Mg imbalance and CRC. Methods: CRC tissue samples and their non-tumoural counterpart from four patients were collected and analysed for total Mg level and distribution by X-Ray Fluorescence Microscopy. We also reviewed the scientific literature and the main tissue expression databases to collect data on Mg transporters expression in CRC. Results: We found a significantly higher content of total Mg in CRC samples when compared to non-tumoural tissues. Mg distribution was also impaired in CRC. Conversely, we evidenced an uncertain correlation between Mg transporters expression and colon malignancies. Discussion: Although further studies are necessary to determine the correlation between different cancer types and stages, this is the first report proposing the measurement of Mg tissue localisation as a marker in CRC. This study represents thus a proof-of-concept that paves the way for the design of a larger prospective investigation of Mg in CRC.

The challenge of accounting for individual differences in folk-economic beliefs

2018 ◽  
Vol 41 ◽  
Author(s):  
Benjamin C. Ruisch ◽  
Rajen A. Anderson ◽  
David A. Pizarro
Keyword(s):  
Individual Differences ◽  
Individual Variation ◽  
Political Ideologies ◽  
Economic Beliefs ◽  
Existing Data

AbstractWe argue that existing data on folk-economic beliefs (FEBs) present challenges to Boyer & Petersen's model. Specifically, the widespread individual variation in endorsement of FEBs casts doubt on the claim that humans are evolutionarily predisposed towards particular economic beliefs. Additionally, the authors' model cannot account for the systematic covariance between certain FEBs, such as those observed in distinct political ideologies.

Individual differences, social attention, and the history of the social motivation hypotheses of autism

2019 ◽  
Vol 42 ◽  
Author(s):  
Peter C. Mundy
Keyword(s):  
Individual Differences ◽  
Early Development ◽  
Emotional Development ◽  
Social Motivation ◽  
Social Attention ◽  
Social Emotional Development ◽  
Social Emotional ◽  
Precise Understanding ◽  
The Social ◽  
History Of

Abstract The stereotype of people with autism as unresponsive or uninterested in other people was prominent in the 1980s. However, this view of autism has steadily given way to recognition of important individual differences in the social-emotional development of affected people and a more precise understanding of the possible role social motivation has in their early development.

Elaborating the role of reflection and individual differences in the study of folk-economic beliefs

2018 ◽  
Vol 41 ◽  
Author(s):  
Kevin Arceneaux
Keyword(s):  
Decision Making ◽  
Individual Differences ◽  
Cognitive Processes ◽  
Evolutionary History ◽  
Behavioral Responses ◽  
History Of ◽  
Economic Beliefs

AbstractIntuitions guide decision-making, and looking to the evolutionary history of humans illuminates why some behavioral responses are more intuitive than others. Yet a place remains for cognitive processes to second-guess intuitive responses – that is, to be reflective – and individual differences abound in automatic, intuitive processing as well.

Inter-individual variation shapes the human microbiome

2019 ◽  
Vol 42 ◽  
Author(s):  
Emily F. Wissel ◽  
Leigh K. Smith
Keyword(s):  
Individual Differences ◽  
Individual Variation ◽  
Human Microbiome ◽  
Individual Variability ◽  
Microbiota Composition ◽  
Target Article ◽  
Microbiome Research

Abstract The target article suggests inter-individual variability is a weakness of microbiota-gut-brain (MGB) research, but we discuss why it is actually a strength. We comment on how accounting for individual differences can help researchers systematically understand the observed variance in microbiota composition, interpret null findings, and potentially improve the efficacy of therapeutic treatments in future clinical microbiome research.

Why Speech-Language Clinicians Should Be in the Classroom

1991 ◽  
Vol 22 (4) ◽  
pp. 277-277 ◽  
Author(s):  
Sharon L. Wadle
Keyword(s):  
Individual Differences ◽  
Task Analysis ◽  
Regular Classroom ◽  
Classroom Setting ◽  
Therapy Room

Lack of training is only an excuse for not collaborating outside of the therapy room. With our present training, speech-language clinicians have many skills to share in the regular classroom setting. This training has provided skills in task analysis, a language focus, an appreciation and awareness of individual differences in learning, and motivational techniques.

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