Abstract 2648: Prognostic significance of thyroid hormone receptor-alpha-2 (THRα2) expression in triple-negative breast cancer: A TCGA study
Bibliographic record
Abstract
Abstract Background: Thyroid hormones promote breast cancer cell proliferation and expression of their cognate nuclear receptors has shown prognostic potential in small cohort studies. Among two isoforms of thyroid hormone receptor alpha (THRα), the alpha1 splice variant (THRα1) promotes thyroid hormone mediated cell proliferation whereas the alpha2 variant (THRα2) opposes it. Hence, THRα2 expression may be a favorable prognostic biomarker in breast cancer. Methods: A publicly available database of breast tumors archived by The Cancer Genome Atlas (TCGA) was employed for this study. We analyzed RNA expression of THRα1 and THRα2 in 106 triple negative breast cancers (TNBCs) and correlated it with tumor stage (I vs II vs III) and nodal involvement (positive vs negative). Tumor grade was not uniformly reported. Univariate Cox proportional hazards regression models were fitted to determine the prognostic impact of THRα1 and THRα2 expression on overall survival (OS) and multivariate models were adjusted for age, tumor stage and radiation treatment. Results: The median age of women was 54 (range 29-90) and 12.3% died. The majority (62.3%) of patients presented with stage II disease; 16.0% were stage III and 17.9% were stage I at diagnosis. There was no significant correlation between THRα1 or THRα2 expression and tumor stage or nodal involvement. Expression of THRα2 was associated with improved OS in both uni- and multi-variate models (Table). Conclusions: In this study, THRα2 expression was independently prognostic for improved OS in TNBC. We previously demonstrated similar results in 158 TNBCs via immunohistochemistry but differentiation between RNA (as opposed to protein) splice variants is more precise. These results support investigation of THRα2 up-regulation or THRα1 inhibition as therapeutic strategies. Table. Prognostic associations of THRα2 expression in TNBCVariableUnivariate HR (95%CI)p valueMultivariate HR (95%CI)p valueLog (THRα2)0.46 (0.26-0.81)<0.010.28 (0.09-0.84)0.02Log (THRα1)0.54 (0.31-0.94)0.031.38 (0.53-3.62)0.51Age (years)0.98 (0.94-1.02)0.370.92 (0.84-1.01)0.10Stage (I vs II vs III vs IV)6.14 (2.19-17.22)<0.0126.03 (4.05-167.14)<0.01Radiation therapy (yes vs no)0.23 (0.04-1.22)0.080.10 (0.02-0.73)0.02 Citation Format: Katarzyna J. Jerzak, Anna Dvorkin-Gheva, Jessica G. Cockburn, Anita Bane, John A. Hassell. Prognostic significance of thyroid hormone receptor-alpha-2 (THRα2) expression in triple-negative breast cancer: A TCGA study [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 2648.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".