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Record W7011403804

Malignant Pleural Mesothelioma: an investigation on relevant cancer genes and potentially repositionable drugs

2019· dissertation· en· W7011403804 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueUse Siena air (University of Siena) · 2019
Typedissertation
Languageen
FieldMathematics
TopicProbability and Statistical Research
Canadian institutionsnot available
Fundersnot available
KeywordsAsbestosMesotheliomaCarcinogenesisCancerTissue microarrayImmunohistochemistryLung cancerMesothelial CellMicroarray analysis techniques
DOInot available

Abstract

fetched live from OpenAlex

Malignant pleural mesothelioma (MPM) is a very aggressive cancer originating from the pleural membrane and mainly due to inhalation of asbestos. As a consequence of the past exposure to asbestos in industrialized countries and the present use in developing ones, as Canada, China, India, Kazakhstan, Russia and Thailand, the current incidence of MPM, is still high (1-6/100.000) and it is expected to further increase. The prognosis of MPM is poor with a median overall survival of less than one year from the time of diagnosis. The non-specific symptoms and the lack of accurate biomarkers do not allow a sufficiently early diagnosis for a radical treatment of the disease. To date, few pharmacological treatment options are available and effective cures are missing. Thus, the identification of novel diagnostic and prognostic biomarkers, as well as therapeutic targets is urgently needed. In the current project, we moved onto two different paths. On one side, we focused on a group of deregulated genes in MPM, as ASS1, EIF4G1, GALNT7, GLUT1, IGF2BP3, ITGA4, RAN, SLC16A1, SLC16A3, SOD1 and THBS2. In order to investigate their role in tumorigenesis of MPM we performed an RNA interference-based screen on four MPM cell lines (Mero-14, Mero-25, IST-Mes2 and NCI-H28,) and one non-malignant mesothelial cell line (MeT-5A). The screening was followed by a phenotypic study in vitro. We analysed changes in proliferation rates, caspases 3/7 activity, migration abilities and clonogenicity. In particular, for SLC16A1 and SLC16A3, we further evaluated their expression in vivo on a series of 135 MPM samples, through tissue microarray immunohistochemistry (IHC). On the other side, in the light of the lack of an efficient therapeutical treatment, we aimed to identify novel active compounds to be repositioned in the MPM therapeutic management. Thus, we screened an FDA-approved drug library on the panel of MPM and non-MPM cells above mentioned. We identified two putative drugs, as the antimetabolite Fludarabine and the bisphosphonate Risedronic Acid. Although these results are preliminary and require deepen evaluations, overall, they suggest that repurposing of these two compounds could represent a promising approach for MPM treatment.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.110
Threshold uncertainty score1.000

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 communication0.0000.001
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 head0.055
GPT teacher head0.295
Teacher spread0.240 · 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