![[OC] Stoffwechselverschiebung in Karzinomen (Warburg -Effekt)](https://www.bytesde.com/wp-content/uploads/2025/10/jumudeddvnsf1-1024x768.png "[OC] Stoffwechselverschiebung in Karzinomen (Warburg -Effekt)")
Expressionsdaten wurden aus dem Cancer Genom Atlas (TCGA) erhalten, eine umfassende Ressource zur Untersuchung molekularer Veränderungen zwischen verschiedenen Krebstypen.
Die Datenanalyse wurde in R. Expressionswerten für jede Probe durchgeführt, die unter Verwendung einer einzelnen Probengenset -Anreicherungsanalyse (SSGSEA) mit Gensätzen aus der Datenbank der Molecular Signatures (MSIGDB) berechnet wurden. Die Werte wurden innerhalb jedes TCGA -Krebstyps skaliert.
Die Dichtediagramm veranschaulicht eine allgemeine metabolische Verschiebung, die für Karzinome charakteristisch ist, was mit dem Warburg -Effekt übereinstimmt. Die Streudiagramme zeigen eine ähnliche Verschiebung über die meisten Karzinomtypen. Bemerkenswerte Ausnahmen umfassen TCGA-PRAD und TCGA-THCA, die häufig gut differenziert sind, sowie TCGA-Kich und eine Untergruppe von TCGA-KIRC, die keine glykolytische Verschiebung aufweisen.
Von sheep71
4 Kommentare
I am generally somewhat science literate, but this is well above my level. Could we get an explanation in layman’s terms? Like what does this show and why is it significant?
Can you explain to me like I’m 5? I might be smarter than the average in that I can write properly and do some basic research and interpret data instead of just becoming MAGA but nonetheless this is still way above my level.
I had a hard time wrapping my head around the jargon. LLM translation:
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We used data from The Cancer Genome Atlas (TCGA), a large public project that collects detailed information about many different types of cancer.
The analysis was done in R. For each tumor sample, we calculated “expression scores” using a method called single-sample gene set enrichment analysis (ssGSEA). This method looks at groups of related genes and tells us how active they are. The gene groups we used came from the Molecular Signatures Database (MSigDB). To make the results comparable, we adjusted the scores within each cancer type.
The density plot shows that most carcinomas (cancers that start in epithelial tissue) display a shift in metabolism that matches the well-known “Warburg effect”—where cancer cells favor glycolysis (sugar breakdown) even when oxygen is available. The scatter plots show this same shift in most carcinoma types. However, a few cancers are exceptions: prostate cancer (PRAD) and thyroid cancer (THCA), which usually stay well-differentiated; kidney chromophobe cancer (KICH); and part of kidney clear cell cancer (KIRC), which do not show this glycolytic shift.
Tldr summary:
Most carcinomas change how they make energy, favoring quick sugar breakdown even when oxygen is available—a hallmark known as the Warburg effect. We saw this shift in nearly all carcinoma types using data from The Cancer Genome Atlas. The main exceptions were prostate, thyroid, and some kidney cancers, which tend to keep a more normal energy pattern.
So we’re just going to post the figures from scientific papers on here from now on? Or at least at that level 😅