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Record W1943685717 · doi:10.1158/1538-7445.am2014-2490

Abstract 2490: Integrative systems analysis of HPV+ and HPV- oropharyngeal carcinomas

2014· article· en· W1943685717 on OpenAlexaff
Lusia Sepiashvili, Angela Bik‐Yu Hui, Wei Shi, Wei Xu, Daryl Waggot, Paul C. Boutros, Alexandr Ignatchenko, Vladimir Ignatchenko, Shao Hui Huang, John Waldron, Brian O’Sullivan, Jonathan C. Irish, Fei‐Fei Liu, Thomas Kislinger

Bibliographic record

VenueCancer Research · 2014
Typearticle
Languageen
FieldMedicine
TopicRadiomics and Machine Learning in Medical Imaging
Canadian institutionsOntario Institute for Cancer ResearchUniversity of TorontoUniversity Health Network
Fundersnot available
KeywordsConcordanceImmunohistochemistryBiologyOncologyCancer researchComputational biologyMedicineInternal medicineBioinformaticsImmunology

Abstract

fetched live from OpenAlex

Abstract BACKGROUND: Over half of oropharyngeal carcinomas (OPCs) are linked to high-risk human papillomavirus (HPV) infection. As compared to their HPV-positive (HPV+) counterparts, HPV-negative (HPV-) OPCs are associated with significantly worse survival, inferior treatment response and a distinct molecular expression profile. There are currently considerable efforts underway to personalize treatment based on HPV status; however, this remains challenging as the current understanding of the different biological mechanisms in HPV+ vs. HPV- OPCs is limited. Hence, a comprehensive proteomic analysis was performed, utilizing archival OPC tissues, in order to acquire greater insights into the distinct biological pathways. METHODS: Global protein expression profiling was conducted on 26 HPV- and 27 HPV+ pre-treatment formalin-fixed paraffin-embedded (FFPE) OPCs using an automated 5-step Multidimensional Protein Identification Technology (MudPIT) procedure on a LTQ-Orbitrap XL. Protein quantification was achieved by adjusted spectral counting. Differentially expressed proteins (p<0.05) were classified into functionally enriched categories and interaction networks using GeneMania. Finally, differential expression of 4 proteins was evaluated by immunohistochemistry (IHC) on an independent cohort of 17 HPV- and 12 HPV+ pre-treatment FFPE OPC biopsies. RESULTS: Among the 2633 high confidence protein groups identified, 174 were significantly differentially expressed in HPV+ vs. HPV- OPCs. Functional enrichment analysis of these proteins demonstrated enrichment of cell cycle, DNA repair, cytokine signaling, apoptosis, DNA packaging, and metabolism proteins. These results were in concordance with a previous publication of pooled OPCs (Slebos et al, 2012). In addition, utilizing The Cancer Genome Atlas (TCGA) data, we determined that the relative expression levels of many of these proteins could be attributed to changes in copy number, methylation, mRNA, or mutation profiles. Next, the top 4 proteins were selected for verification based on concordance with these datasets and reported biological relevance. Selected proteins are involved in actin assembly, purine metabolism, differentiation, and cell migration and invasion. As a result, the differential expression of 2 proteins was successfully validated by IHC, while 2 additional proteins exhibited the same trend as in the discovery cohort. CONCLUSION: This study provides the most in-depth and integrated protein-centric view of HPV+ and HPV- OPC. As a key finding, we highlight the identification of an actin assembly oncoprotein reported to be involved in a targetable radioresistance pathway. We hypothesize that this pathway is preferentially activated in HPV- OPCs. Hence, future experiments will focus on validating the in vivo observed expression pattern of this protein in vitro, and manipulating its expression to overcome radioresistance in OPC models. Citation Format: Lusia Sepiashvili, Angela Hui, Wei Shi, Wei Xu, Daryl Waggot, Paul Boutros, Alex Ignatchenko, Vladimir Ignatchenko, Shao Hui (Sophie) Huang, John Waldron, Brian O'Sullivan, Jonathan C. Irish, Fei-Fei Liu, Thomas Kislinger. Integrative systems analysis of HPV+ and HPV- oropharyngeal carcinomas. [abstract]. In: Proceedings of the 105th Annual Meeting of the American Association for Cancer Research; 2014 Apr 5-9; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2014;74(19 Suppl):Abstract nr 2490. doi:10.1158/1538-7445.AM2014-2490

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.045
GPT teacher head0.410
Teacher spread0.365 · 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 designObservational
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
Published2014
Admission routes1
Has abstractyes

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