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Record W4399601604 · doi:10.1016/j.bbrep.2024.101755

Ovarian cancer ascites proteomic profile reflects metabolic changes during disease progression

2024· article· en· W4399601604 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueBiochemistry and Biophysics Reports · 2024
Typearticle
Languageen
FieldMedicine
TopicOvarian cancer diagnosis and treatment
Canadian institutionsScience North
FundersEuropean Regional Development FundFundação para a Ciência e a TecnologiaMinistério da Ciência, Tecnologia e Ensino SuperiorMinisterio de Economía y Competitividad
KeywordsAscitesOvarian cancerContext (archaeology)CancerAscitic fluidPeritoneal cavityProteomicsBiologyDiseaseMedicineInternal medicineCancer researchBioinformaticsBiochemistryGeneSurgery

Abstract

fetched live from OpenAlex

Ovarian cancer (OC) patients develop ascites, an accumulation of ascitic fluid in the peritoneal cavity anda sign of tumour dissemination within the peritoneal cavity. This body fluid is under-researched, mainly regarding the ascites formed during tumour progression that have no diagnostic value and, therefore, are discarded. We performed a discovery proteomics study to identify new biomarkers in the ascites supernatant of OC patients. In this preliminary study, we analyzed a small amount of OC ascites to highlight the importance of not discarding such biological material during treatment, which could be valuable for OC management. Our findings reveal that OC malignant ascitic fluid (MAF) displays a proliferative environment that promotes the growth of OC cells that shift the metabolic pathway using alternative sources of nutrients, such as the cholesterol pathway. Also, OC ascites drained from patients during treatment showed an immunosuppressive environment, with up-regulation of proteins from the signaling pathways of IL-4 and IL-13 and down-regulation from the MHC-II. This preliminary study pinpointed a new protein (Transmembrane Protein 132A) in the OC context that deserves to be better explored in a more extensive cohort of patients’ samples. The proteomic profile of MAF from OC patients provides a unique insight into the metabolic kinetics of cancer cells during disease progression, and this information can be used to develop more effective treatment strategies. Occurrence of malignant ascitic fluid (MAF) during ovarian cancer (OC) progression. In this study, we analyzed the supernatant of MAF samples drained at the time of diagnosis (naïve) and during carboplatin and paclitaxel chemotherapy. These samples were analyzed by liquid chromatography-mass spectrometry (LC/MS) and scrutinized by Proteome Discoverer 2.5.0.400 Software. Our findings evidenced a shift in the proteomic profile of MAF during disease progression. Figure created in Bionrender.com . LC/MS - liquid chromatography-mass spectrometry; APOC2 - Apolipoprotein C-II; UBA1 - Ubiquitin-like modifier-activating enzyme 1. • The proteomic profile of ascites is a unique opportunity to track the progression of cancer cells. • Cholesterol pathway is increased in ascites during chemotherapy. • Chemotherapy increases IL-4 and IL-13 pathways and decreases MHC-II in ascites. • Ascites proteomics revealed the presence of TMEM132A protein in the context of ovarian cancer.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.031
Threshold uncertainty score0.625

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.012
GPT teacher head0.303
Teacher spread0.291 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it