MétaCan
Menu
Back to cohort
Record W2461070381 · doi:10.1158/1557-3125.advbc-b110

Abstract B110: Characterization of the role of TRAF2 and TNFRSF14 in breast cancer

2013· article· en· W2461070381 on OpenAlexaff
Sandrine Tchatchou, Lucine Bosnoyan-Collins, Dushanthi Pinnaduwage, Shelley B. Bull, Irene L. Andrulis

Bibliographic record

VenueMolecular Cancer Research · 2013
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicNF-κB Signaling Pathways
Canadian institutionsMount Sinai HospitalLunenfeld-Tanenbaum Research Institute
Fundersnot available
KeywordsCancer researchBreast cancerTumor necrosis factor alphaCancerBiologyCarcinogenesisMetastasisOncologyMedicineInternal medicineImmunology

Abstract

fetched live from OpenAlex

Abstract Human breast cancer patients display significant diversity in terms of their survival, recurrence, metastasis as well as response to treatment. Our group recruited a multi-centre prospective cohort of over 1900 women with ANN breast cancer and followed them clinically. Tumors from 135 women in this group were selected for gene expression analysis on human cDNA microarrays to examine the molecular alterations in ANN patients that could be predictive of recurrence. From genes that demonstrated a statistically significant difference in expression in tumors from patients who have experienced an early recurrence versus who have remained disease free for over 10 years, TRAF2 (tumor necrosis factor (TNF) receptor-associated factor 2) was found to be highly expressed in early recurrence. TRAF2 is involved in immune system cytokine signaling pathways and interacts with many receptors in the TNF receptor superfamily and mediates the survival effects of these receptors including NF-κB, LTβR, JNK and MAPKs kinases. TRAF2 has been reported to be overexpressed or constitutively phosphorylated in some cancers, including lymphoma and pancreatic cancers. The tumor necrosis factor receptor TNFRSF14, also called LIGHTR or HVEM is located on the short arm of chromosome 1p36. Deletion of 1p36 is especially frequent in breast tumors and is associated with progression and lymph node metastasis, poor prognosis, higher rate of recurrence, larger tumor size, and DNA aneuploidy7. Cheung and al. (2010) have described somatic TNFRSF14 mutations in Follicular Lymphoma (FL) which are associated with worse prognosis. They identified 46 cases (18.3%) with non-synonymous mutations affecting TNFRSF14 in a cohort of 251 FL patients. The significance of such acquired mutations on the structure-function relationship of TNFRSF14 is still unknown, but it appears that TNFRSF14 can be considered as a potential candidate gene that might contribute to FL development. TNFRSF14 belongs to the TNF-receptor superfamily and contains multiple copies of a cysteine-rich motif in the extracellular region that is known to provide the ligand recognition motifs. Activation of TNF-receptor family members is induced by their cognate, trivalent, TNF-related ligand, clustering multiple receptors, which in turn recruits the cytosolic TNF receptor-associated factors (TRAFs) adaptors leading to serine kinase activation of the NFκB system. TNFRSF14 associated with TRAF2 and other members of the TRAF family and activates JNK as well as NF κB and AP-1, which control expression of multiple immune, inflammatory and acute phase action genes in response to infection or cellular stress. The short cytoplasmic regions are frequently capable of stimulating the transcription factors activator protein 1 (AP1) and NFKB1. This particular region of the TNFRSF14 gene interacts with members of the TNFR-associated factor (TRAF) family and mediates the signal transduction pathways that activate the immune response. Since TNFRSF14 interacts with TRAF2 and/or other TRAFs to mediate the NF-κB activation and TRAF2 is highly expressed in breast cancer early recurrence, we hypothesized that altered TRAF2 and TNFRSF14 could contribute to recurrence in ANN breast cancer. Single-strand conformation polymorphism (SSCP) and DNA Sequencing were performed to detect any small alteration in PCR-amplified product from 130 ANN breast cancer tumor samples and 48 germline breast cancer tumor samples. Known polymorphisms were excluded and direct sequencing revealed one new coding SNP (Pro262Leu; C>T) located at exon 8. The genotypes CC were observed in 177 of the 178 samples in total. Only one ANN breast cancer tumor sample (936A) revealed a heterozygote genotype (CT). According to algorithms ‘SIFT’ and PolyPhen-2, the Pro262Leu amino acid exchange alters the secondary structure of TNFRSF14 and is predicted to affect the function of the protein. Due to the impact of TNFRSF14 mutations associated with poor prognosis during carcinogenesis, this variant may play a role in the therapy outcome in breast cancer. Quantitative Real-time RT-PCR was performed to quantify TRAF2 expression in a subset of cell lines and tumor samples. Current studies include immunohistochemistry of tissue microarrays containing 888 ANN tumors to detect TRAF2 protein levels and localization and investigation of the association of TRAF2 expression with clinical outcome. In addition, the characterization of the importance of alterations in TRAF2 gene and its associated pathways is being performed using a combination of bioinformatics, to identify potential. Furthermore, the TNFRSF14 Pro262Leu_C>T SNP is being analysed using TaqMan allelic discrimination to investigate a putative association of this variant with breast cancer risk or recurrence. These studies could lead to the discovery of new prognostic markers that may improve our understanding of the molecular pathways responsible for breast cancer development and progression and identify novel targets for breast cancer therapeutics. Citation Format: Sandrine Tchatchou, Lucine Bosnoyan-Collins, Dushanthi Pinnaduwage, Shelley B. Bull, Irene L. Andrulis. Characterization of the role of TRAF2 and TNFRSF14 in breast cancer. [abstract]. In: Proceedings of the AACR Special Conference on Advances in Breast Cancer Research: Genetics, Biology, and Clinical Applications; Oct 3-6, 2013; San Diego, CA. Philadelphia (PA): AACR; Mol Cancer Res 2013;11(10 Suppl):Abstract nr B110.

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 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 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 score0.206
Threshold uncertainty score0.567

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 communication0.0000.000
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 head0.015
GPT teacher head0.302
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 teacher head, 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
Published2013
Admission routes1
Has abstractyes

Explore more

Same venueMolecular Cancer ResearchSame topicNF-κB Signaling PathwaysFrench-language works237,207