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Record W4282961803 · doi:10.1158/1538-7445.am2022-5734

Abstract 5734: The effect of PRAME on retinoid response and cell proliferation in cutaneous and head and neck squamous cell carcinoma

2022· article· en· W4282961803 on OpenAlexaff
Brandon Ramchatesingh, Ivan V. Litvinov

Bibliographic record

VenueCancer Research · 2022
Typearticle
Languageen
FieldImmunology and Microbiology
Topicinterferon and immune responses
Canadian institutionsMcGill University
Fundersnot available
KeywordsCancer researchHead and neck squamous-cell carcinomaRetinoidCell growthCell cultureBiologyCellCell cycleCancerMedicineInternal medicineRetinoic acidHead and neck cancer

Abstract

fetched live from OpenAlex

Abstract As cells undergo terminal differentiation, they adopt their tissue-specific functions and permanently exit the cell cycle. Inducing differentiation of premalignant cells and malignant cells are proposed strategies for cancer prevention and treatment, respectively. Retinoids, compounds related to retinol, drive terminal differentiation of numerous cell types. These compounds exhibit efficacy for the prevention of cutaneous squamous cell carcinomas (cSCC) and head and neck squamous cell carcinomas (HNSCCs), and their incorporation into treatment plans for these cancers is supported by laboratory and clinical studies. Preferentially Expressed Antigen in Melanoma (PRAME) is a cancer-testis antigen that represses retinoid signaling, and is associated with adverse outcomes in a plethora of malignancies. Although PRAME is known to be expressed in subsets of cutaneous SCC (cSCC) and head and neck SCC (HNSCC) tumors, its functions, prognostic and therapeutic significance have never been investigated in these cancers. We hypothesize that PRAME expression in SCC cells confers resistance to the anti-neoplastic effects of retinoids and supports cell proliferation. PRAME expression was evaluated in human cSCC tumors, and in cSCC and HNSCC cell lines by immunoblotting and qRT-PCR. PRAME-overexpressing immortalized keratinocyte, cSCC and HNSCC cell lines were generated. shRNA-mediated knockdown of PRAME was performed in a cSCC and a HNSCC cell line. Cells were treated with all-trans retinoic acid (ATRA) for 24, 48 or 72 hours. Expression of differentiation markers was assessed by immunoblotting and qRT-PCR of markers of differentiation. Cell counting assays, immunoblot analysis of cell cycle genes and Ki67 immunofluorescence staining were used to assess proliferation. PRAME expression is detected in subsets of cSCC tumors and in select SCC cell lines. Overexpression of PRAME in HNSCC cells enhanced cell proliferation compared to control cells. Treatment with ATRA did not promote differentiation of PRAME-expressing cells. Furthermore, PRAME overexpression attenuated the anti-proliferative effect of ATRA in HNSCC cells. We conclude that PRAME enhances proliferation of malignant keratinocytes in vitro and may confer resistance to retinoid-induced differentiation and proliferation arrest. Investigations to assess the prognostic and therapeutic significance of PRAME expression in SCCs are warranted. Citation Format: Brandon Liam Ramchatesingh, Ivan Litvinov. The effect of PRAME on retinoid response and cell proliferation in cutaneous and head and neck squamous cell carcinoma [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 5734.

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 score0.006
Threshold uncertainty score0.019

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)0.0060.001

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 head0.021
GPT teacher head0.320
Teacher spread0.300 · 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
Published2022
Admission routes1
Has abstractyes

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