TRAP1 is Involved in Cell Cycle Regulated by Retinoblastoma Susceptibility Gene (RB1) in Early Hypoxia and has Variable Expression Patterns in Human Tumors
Bibliographic record
Abstract
Tumor necrosis factor receptor associated protein 1(TRAP1) is a member of the Hsp90 family that acts as a molecular chaperon to the tumor suppressor retinoblastoma susceptibility gene (RB1). We have previously demonstrated that TRAP1-positive cells contain a high level of cell proliferating genes, whilst TRAP1-negative cells contain a high level of genes involved in cell cycles and metastases. In this study, we performed a functional analysis of TRAP1 which focused on its regulation within a cell cycle in relation to RB1. Following a heat shock, TRAP1 translocates to the nucleus and chaperonsRB1. When TRAP1 is silenced by siRNA, or prevented from entering the nucleus in hypoxic cells, formation of RB1/E2F1 complexes is impaired and cell cycle activity is promoted by deregulating the G1/S transition. Inhibition of the nuclear translocation of TRAP1 with geldanamycin abrogates its ability to maintain RB1 in a form that associates with E2F1. Restoration of TRAP1 expression reverses these effects. We analysed TRAP1/RB1 expression on 630 tumors by immunohistochemical staining and found TRAP1 lost in some types of cancer, such as non-small cell lung cancer and breast cancer, and the positive correlation of TRAP1 expression in nuclear and cytoplasm with RB1 was observed. Clinico-pathological data showed that breast carcinoma patients lacking nuclear TRAP1 have a shorter disease free survival. Our data suggests that nuclear translocation of TRAP1 is crucial for its function as a chaperon. The loss of TRAP1 expression in certain types of cancer may provide the growth advantage due to the lost control at cell cycle check point.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 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".