TMEM45B is a novel predictive biomarker for prostate cancer progression and metastasis
Bibliographic record
Abstract
It is urgently needed to explore the clinical relevance of TMEM45B expression and Prostate cancer(PCa), and determine the predictive significance of TMEM45B as a biomarker for PCa patients.Patient-derived xenograft (PDX) model of PCa with different metastatic potential (LTL-418, LTL-313B, LTL-313H and LTL-331) were developed. The gene expression microarray of LTL-313H and LTL-313B, which derived from a single PCa patient, was performed to identify the candidate biomarker gene, TMRM45B. MSKCC and TCGA PCa patient cohorts were introduced to analyzed the clinical significance of TMEM45B expression. Quantitative Real-Time PCR (qRT-PCR) revealed that there was a significant increase of TMEM45B expression in high metastatic potential tumor lines LTL-313H and LTL-331 compared with the other two low metastatic potential tumor lines(LTL-418, LTL-313B). In MSKCC PCa cohort, the mRNA level of TMEM45B in patients with metastasis was significantly higher than that in primary PCa (P=0.001) and begin prostate hyperplasia (BPH) patients (P<0.001). In addition, the increased TMEM45B expression was positively related with a higher possibility of biochemical recurrence (P=0.016), distant metastasis occurrence(P<0.001) and overall patient survival (P=0.07). Moreover, TMEM45B expression was considered as an independent risk factor for metastasis of PCa based on multivariate logistic regression. Kaplan-Meier analysis showed that patients with elevated TMEM45B had a shorter biochemical recurrence free survival (RFS). For primary PCa patients, subgroup analysis showed that there was a significant association between TMEM45B expression and clinical features in primary PCa cohort. Meanwhile, cases with elevated TMEM45B were more likely to develop metastasis compared to the normal group among N0 primary PCa patients (P=0.010). Primary PCa patient cohort TCGA was used to validate the results, and an obvious relationship was found between TMEM45B and clinical characteristic of PCa (T/N stage, Gleason score, Recurrence / Progress). Furthermore, a significant poor disease free survival (DFS) was investigated in high-level of TMEM45B patients compared with the other remaining cases (P=0.007). Taken together, the increased expression of TMEM45B appears to be significantly associated with prostate carcinoma progression and metastasis which provide a new prognostic biomarker for predicting metastatic potential of PCa patients, especially for primary PCa.
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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 | 0.001 | 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".