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Record W4282978672 · doi:10.1158/1538-7445.am2022-131

Abstract 131: The role of p66ShcA in the melanoma oncogenesis process

2022· article· en· W4282978672 on OpenAlexaff
Eduardo Cepeda Cañedo, Sonia V. del Rincón, Peter M. Siegel, Michael Witcher, Josie Ursini‐Siegel

Bibliographic record

VenueCancer Research · 2022
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
Topicmelanin and skin pigmentation
Canadian institutionsConcordia UniversityMcGill UniversityJewish General Hospital
Fundersnot available
KeywordsMelanomaMelanocyteCarcinogenesisCancer researchBiologyNeuroblastoma RAS viral oncogene homologMalignant transformationImmunosurveillanceOncogeneMAPK/ERK pathwayCancerSignal transductionImmunologyCell cycleCell biologyGenetics

Abstract

fetched live from OpenAlex

Abstract Background: The identification of crucial driver mutations that affect the MAPK signaling pathway (BRAF, NRAS, NF1) in melanomas, has allowed for the development of targeted therapies and shed light on the process of melanocyte transformation. Gain of function mutations in proteins within the Ras/MAPK pathway in melanocytes leads to the formation of benign neoplasms, or nevi. Multiple mechanisms prevent the transformation of nevi into invasive cancer, namely, oncogene-induced senescence (OIS) and immunosurveillance. Of interest to the melanomagenesis process is the p66ShcA redox protein. We have found that compared to other solid cancers, the majority of primary human melanomas, patient-derived xenografts and melanoma cell lines strongly overexpress p66ShcA, an adaptor protein that induces production of reactive oxygen species (ROS) in response to stress stimuli. Indeed, UV light, increases p66ShcA levels and p66ShcA-induced oxidative stress, which is relevant to this disease as sun exposure contributes significantly to melanoma development. We hypothesized that p66ShcA may play a crucial role in the early steps of melanocyte transformation, possibly by contributing to the overriding of OIS and immune surveillance. Methods: Melanoma initiation and progression will be examined in a known transgenic mouse model (Tyr::CRE/brafCA/ptenlox/lox) either in the presence of endogenous levels of p66ShcA or in an inducible p66ShcA over-expression setting. The necessity of p66ShcA-high expression for melanocyte BRAFV600E-transformation will be tested in immortalized melanocytes. Lastly, to explore the potential selection advantage conferred by p66ShcA, its expression will be silenced in a panel of known melanoma cell lines. Clonogenic assays as well as mouse xenografts will be performed. Results: TCGA melanoma datasets, immunoblot analysis of human melanoma cell lines (n>10), and a collection of metastatic patient-derived xenografts (PDX) (n=6) indicate uniformly elevated p66ShcA levels compared to other cancer types. Knock-down of p66ShcA in multiple melanoma cell lines reduces their clonogenic potential. This reduction in colony formation is independent of driver mutation (e.g., BRAF, NRAS, NF1). Suggesting that p66ShcA may sustain melanoma proliferation. Furthermore, xenografts of the murine YUMM1.7 cell line (braf mutant, cdkn2a null and pten null) in immune-deficient and immune-competent mice indicate that loss of p66ShcA (YUMM1.7 p66ShcA-KO) delays tumor formation, specifically in mice with an intact immune system. Citation Format: Eduardo Cepeda Canedo, Sonia Del Rincon, Peter Siegel, Michael Witcher, Josie Ursini-Siegel. The role of p66ShcA in the melanoma oncogenesis process [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 131.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.004
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.043
GPT teacher head0.397
Teacher spread0.354 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2022
Admission routes1
Has abstractyes

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