Predictive and prognostic potential of pretreatment 68Ga-PSMA PET tumor heterogeneity index in patients with metastatic castration-resistant prostate cancer (mCRPC).

Authors

null

Majid Assadi

Bushehr University of Medical Sciences, Bushehr, Iran (Islamic Republic of)

Majid Assadi , Reyhaneh Manafi-Farid , Esmail Jafai , Ahmad Keshavarz , GhasemAli Divband , Mohammad Mobin Moradi , Zohreh Adinehpour , Rezvan Samimi , Habibollah Dadgar , Benjamin Mayer , Vikas Prasad

Organizations

Bushehr University of Medical Sciences, Bushehr, Iran (Islamic Republic of), Tehran University of Medical Sciences, Tehran, Iran (Islamic Republic of), Persian Gulf university, Bushehr, Iran (Islamic Republic of), Khatam PET-CT Center, Tehran, Iran (Islamic Republic of), Shahid Beheshti University, Tehran, Iran (Islamic Republic of), Cancer Research Center, Razavi Hospital, Mashhad, Iran (Islamic Republic of), Ulm University, Ulm, Germany, University Hospital Ulm, Ulm, Germany

Research Funding

No funding received
None.

Background: 177Lu-PSMA therapy has been introduced as an effective therapeutic option for metastatic castration resistant prostate cancer (mCRPC). Since about one third of the treated patients show no biochemical response (BCR) after therapy, prediction of treatment outcome is important for patient selection. Therefore, this study was conducted to evaluate to the predictive values of volumetric parameters and radiomic features (RFs) extracted form pretreatment 68Ga-PSMA PET and baseline clinical parameters in response to 177Lu-PSMA therapy. Methods: In this multicenter study, mCRPC patients undergoing 177Lu-PSMA therapy were enrolled from September 2017 to January 2022. The available clinical data of all patients was collected and documented from three different centers. The patients underwent several cycles of therapy. According to the outcome of therapy, the patients were classified into two groups including positive BCR (≥ 50% reduction in the serum PSA value) and negative BCR (< 50%). Sixty-five RFs, eight volumetric parameters and also seventeen clinical parameters were evaluated for prediction of BCR. In addition, the impact of such parameters on overall survival (OS) was evaluated. Results: In this retrospective study, 33 prostate cancer patients with a median age of 69 years (range: 49-89) were enrolled. BCR was observed in 22 cases (66%), and 16 cases (48.5%) died during the follow-up time. The results of Spearman correlation test indicated a significant relationship between BCR and treatment cycle, administered dose, HISTO energy, GLCM entropy, and GLZLM LZLGE (p<0.05). In addition, according to the Mann-Whitney U test, age, cycle, dose, GLCM entropy, and GLZLM LZLGE were significantly different between BCR and non BCR patients (p<0.05). According to the ROC curve analysis for feature selection for prediction of BCR, GLCM entropy, age, treatment cycle, and administered dose showed acceptable results (p<0.05). According to SVM for the assessing of the best model for predication of response to therapy, GLCM entropy alone showed the highest predictive performance in treatment planning. For the entire cohort, the Kaplan-Meier test revealed a median OS of 21 months (95% CI: 12.12-29.88). The median OS was estimated at 26 months (95% CI: 17.43-34.56) for BCR patients and 13 months (95% CI: 9.18-16.81) for non BCR patients. Among all variables included in the Kaplan Meier, only response to therapy was statistically significant (p=0.01) and none of the RFs and other clinical factors achieved a p-value of less than 0.05. Conclusions: This exploratory study showed that heterogeneity parameter of pretreatment 68Ga-PSMA PET images might be a potential predictive value for response to 177Lu-PSMA therapy in mCRPC; however, further prospective studies need to be carried out to verify these findings.

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Abstract Details

Meeting

2023 ASCO Genitourinary Cancers Symposium

Session Type

Poster Session

Session Title

Poster Session B: Prostate Cancer and Urothelial Carcinoma

Track

Urothelial Carcinoma,Prostate Cancer - Advanced

Sub Track

Translational Research, Tumor Biology, Biomarkers, and Pathology

Citation

J Clin Oncol 41, 2023 (suppl 6; abstr 200)

DOI

10.1200/JCO.2023.41.6_suppl.200

Abstract #

200

Poster Bd #

F6

Abstract Disclosures