Prognostic value of FDG, PSMA, and DOTATATE uptake on PET imaging in metastatic castration-resistant prostate cancer (mCRPC).
Bibliographic record
Abstract
31 Background: In mCRPC, fluorodeoxyglucose (FDG) and prostate-specific membrane antigen (PSMA) PET/CT are often used in combination for selecting patients for PSMA-radioligand therapy (PSMA-RLT). Few studies have specifically assessed the prognostic value of FDG+/PSMA- lesions, which exclude patients from PSMA-RLT. Also, little is known about the significance of somatostatin receptor expression, a potential biomarker of neuroendocrine differentiation of mCRPC, which can be assessed with DOTATATE-PET/CT. 3TMPO is a prospective study in progressing mCRPC patients who were imaged with up to 3 PET tracers. Here, we report on patient’s overall survival (OS), with respect to the presence of FDG+/PSMA- and DOTATATE+ lesions. Methods: In 3TMPO (NCT04000776, protocol in PMID 34674367), all patients had 68Ga-PSMA-617 and 18F-FDG PET/CT scans. A 68Ga-DOTATATE scan was ordered if an FDG+/PSMA- lesion was found. For all tracers, positivity was defined as lesion SUVpeak being 1.5x higher than liver SUVmean. Kaplan-Meier with log-rank test was used to assess the difference in OS between groups. Cox regression model was used to quantify the effect of factors predictive of OS. Results: The median [95% CI] OS of the 98 enrolled patients was 10.2 [8.5-11.8] mo. At least one FDG+/PSMA- lesion was found in 45 (45.9%) patients and their OS was shorter than that of the others: 5.6 [4.3-6.9] vs. not reached (p=0.0001). Six (16.2%) of 37 patients who underwent 68Ga-DOTATATE-PET had ≥1 DOTATATE+ lesion and their OS was shorter than that of patients without a DOTATATE+ lesion: 3.0 [2.2-3.7] vs. 6.4 [1.6-11.1] mo. (p=0.0004). Characteristics significantly associated with worse OS were ECOG, ISUP grade, number of metastases, number of lines of therapy, presence of visceral metastases, FDG and PSMA molecular tumor volumes (MTV) (p<0.05). In a multivariate analysis adjusted for the number of metastases and of treatment lines, the presence of an FDG+/PSMA- lesion increased the risk of death (HR [95% CI]=2.4 [1.4-4.3], p=0.002), and this was also significant after adjusting for both PSMA and FDG-MTV (HR [95% CI]=2.9 [1.4-5.8], p=0.003). Conclusions: mCRPC patients harboring FDG+/PSMA- lesion(s) had a shorter OS than those who did not, and their prognosis was even poorer if they also had DOTATATE+ lesion(s). Upfront FDG/PSMA-PET followed by DOTATATE-PET might help clinicians to guide patient towards palliative care vs. further systemic therapy, including PSMA-RLT. Clinical trial information: NCT04000776 .
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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 | 0.000 | 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".