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Record W2886364267 · doi:10.1158/1538-7445.am2018-2515

Abstract 2515: Aberrant expression of CSF1R in melanoma is driven through an endogenous viral promoter and it contributes to malignant growth and BRAF-inhibitor resistance

2018· article· en· W2886364267 on OpenAlexaff
Yongkai Mo, Kimberly B. Dahlman, Xiomaris M. Cotto-Rios, Chiara Vardabasso, Hoa Nguyen, Bernice Matusow, Matthias Bartenstein, Veronika Polishchuck-Lee, Douglas B. Johnson, Tushar B. Bhagat, Rafe Shellooe, Elizabeth M. Burton, Gaston Habets, John M. Greally, Yiting Yu, Gideon Bollag, Paraic A. Kenny, Kith Pradhan, E. Richard Stanley, Emily Bernstein, Evripidis Gavathiotis, Brian L. West, Jeffrey A. Sosman, Amit Verma

Bibliographic record

VenueCancer Research · 2018
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMelanoma and MAPK Pathways
Canadian institutionsWorkplace Health, Safety and Compensation Commission
Fundersnot available
KeywordsMelanomaCancer researchBiologyAutocrine signallingSmall hairpin RNACancerGene knockdownCarcinogenesisMetastasisCell cultureMolecular biologyGenetics

Abstract

fetched live from OpenAlex

Abstract Epigenetic changes in cancer are thought to contribute to the regulation of invasion and metastasis. To study this at a genome-wide level in melanoma, we analyzed the methylome of 44 cases of malignant melanoma. We saw widespread demethylation occurring preferentially outside of CpG islands. Comparison of primary and metastatic lesions showed demethylation occurs early during carcinogenesis with few additional alterations in advanced tumors. The colony stimulating factor-1 receptor was aberrantly expressed and hypomethylated in nearly all cases. Its expression was validated by IHC and RNA-FISH on primary tumors and by qPCR, Western blotting and FACS in BRAF mutant and WT cell lines. CSF1R can be aberrantly expressed via an upstream LTR element in Hodgkin's lymphoma. After analyzing our patient samples and cell lines, we have found this aberrant transcript may be the dominant form in melanoma as well. Expression of one of its ligands IL34 was also shown in the cell lines by both ELISA and qPCR pointing to a potential autocrine regulatory loop. The effects of a small molecule inhibitor, PLX3397 as well as shRNA-mediated knockdown of the receptor were investigated in 2D and 3D cell culture. We saw inhibition of cell growth, smaller colony size, increased apoptosis and decreased invasiveness suggesting a functional role for CSF-1R in melanoma. Treatment of melanoma with BRAF-V600E inhibitors is effective for a time, but resistance invariably develops. The feedback activation of EGFR, BRAF amplification, BRAF splice variants and others are known to aid in the acquisition of resistance and the rebound activation of the MAPK-pathway. We are suggesting a role for CSF1R in this process. In Western experiments, the rebound of phospho-ERK after BRAF inhibitor treatment was accelerated with the addition of CSF1R ligands, or delayed with PLX3397, also attenuating AKT phosphorylation. Melanoma cells stably expressing shRNA against CSF1R recapitulated the effects of the inhibitor. Assaying the cells at different time points during a long-term V600E inhibitory experiment, we saw increasing levels of the transcription factor RUNX1, followed by increasing levels of IL34 and of the receptor, as well as its maturation, and presentation on the cell surface. shRNA-mediated knockdown of RUNX1 resulted in lower levels of the CSF1R and IL34 transcripts and delayed the rebound. Analysis of primary RNA-Seq data showed an increase in RUNX1, CSF1R and IL34 expression in resistant tumors. Co-inhibition of CSF1R and BRAF was also tested and resulted in synergistic blockade of cell growth in vitro and xenograft growth in vivo.The CSF1R inhibitor, PLX3397 is currently in clinical trials for glioblastoma, prostate, breast cancers and other cancers. These data present a preclinical rationale for its study in malignant melanoma. Citation Format: Orsolya Giricz, Yongkai Mo, Kimberly B. Dahlman, Xiomaris M. Cotto-Rios, Chiara Vardabasso, Hoa Nguyen, Bernice Matusow, Matthias Bartenstein, Veronika Polishchuck-Lee, Douglas B. Johnson, Tushar B. Bhagat, Rafe Shellooe, Elizabeth Burton, Gaston Habets, John M. Greally, Yiting Yu, Gideon Bollag, Paraic A. Kenny, Kith Pradhan, E. Richard Stanley, Emily Bernstein, Evripidis Gavathiotis, Brian L. West, Jeffrey A. Sosman, Amit Verma. Aberrant expression of CSF1R in melanoma is driven through an endogenous viral promoter and it contributes to malignant growth and BRAF-inhibitor resistance [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2018; 2018 Apr 14-18; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2018;78(13 Suppl):Abstract nr 2515.

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 score0.001
Threshold uncertainty score0.005

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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.054
GPT teacher head0.339
Teacher spread0.286 · 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

Citations0
Published2018
Admission routes1
Has abstractyes

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