Optimal Sequencing and Predictive Biomarkers in Patients with Advanced Prostate Cancer
Abstract
:Simple Summary
Abstract
1. Introduction
2. Optimal Sequencing in mHSPC, nmCRPC and mCRPC
2.1. Selection of First-Line Treatment
2.1.1. First-Line mHSPC
2.1.2. First-Line nmCRPC
2.1.3. First-Line mCRPC in Patients Pretreated with ADT Monotherapy
2.1.4. First-Line mCRPC in Patients Pretreated with ADT plus Docetaxel or ARSi
2.2. Selection of Subsequent Lines for mCRPC
2.3. Radiopharmaceutical Therapies
2.3.1. The Role of Radium-223
2.3.2. The Advent of Lutetium-177-PSMA-617
2.4. Bone-Targeted Therapies
2.5. Treatment Combinations
3. Predictive Biomarkers and Potential Impact on Treatment Sequence
3.1. DDR Genes
Biomarker | Source | Drugs | Studies | Phase III Trials |
---|---|---|---|---|
DDR (BRCA1/2, ATM, PALB2 and other genes) | PMBC, tumor tissue or ctDNA | Olaparib Rucaparib Talazoparib Niraparib | Phase 2 TOPARP [97] Phase 2 TRITON-2 [98] Phase 2 TALAPRO-1 [99] Phase 2 GALAHAD [100] | PROFOUND [26,83] PROpel [101] * KEYLINK-010 [102] * TRITON-3 [103] * CASPAR [104] * TALAPRO-2 [105] * MAGNITUDE [106] * |
PTENloss | Tumor tissue | Ipatasertib Capivasertib | Phase 2 A. Martin study [107] Phase 2 ProCAID [108] | IPATential150 [109] |
AR-V7 | CTCs | ARSi | PROPHECY biomarker study [110] | |
Molecular subtype Luminal A Luminal B Basal | Tumor tissue | Apalutamide Docetaxel | SPARTAN [111] and TITAN [112] (biomarker analyses) CHAARTED [113] (biomarker analysis) | |
Others MSI-h/MMRd CDK12 deficiency SPOP mutations RB1 loss TP53 alterations TMPRSS2 | Tumor tissue | ARSi ICI | Explorative analyses |
3.2. AR Pathway
3.3. PTEN Loss and PI3K Alterations
3.4. Basal Versus Luminal Prostate Cancer
3.5. Aggressive-Variant Prostate Cancer
3.6. Other Molecular Biomarkers
3.7. Molecular Biomarkers and Diagnostic Challenges
3.8. PET Tracers as Predictive Biomarkers
4. Conclusions
Author Contributions
Funding
Acknowledgments
Conflicts of Interest
References
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Setting | Name of the Trial | Population | Exp Arm | Control Arm | N Exp/ Cont | Primary Endpoint | FU (months) | mOS (months) Exp/Contr | HR (95% CI) | Ref. |
---|---|---|---|---|---|---|---|---|---|---|
mHSPC | GETUG-AFU 15 | L/H volume | Doce + ADT | ADT | 192/193 | OS | 83.9 | 62.1/48.6 | 0.88 (0.68–1.14) | [9] |
CHAARTED | L/H volume | Doce + ADT | ADT | 397/393 | OS | 53.7 | 57.6/47.2 | 0.72 (0.59–0.89) | [1] | |
STAMPEDE (arm C) | L/H volume | Doce + ADT | ADT | 362/724 | OS | 78.2 | 59.1/43.1 | 0.81 (0.69–0.95) | [2] | |
ENZAMET | L/H volume | Enza + ADT ± doce | NSAA + ADT ± doce | 563/562 | OS | 34 | NE/NE | 0.67 (0.52–0.86) | [6] | |
ARCHES | L/H volume; prior doce allowed | Enza + ADT | Placebo + ADT | 574/576 | rPFS | 14.4 | NE/NE | 0.81 (0.53–1.25) | [10] | |
TITAN | L/H volume; prior doce allowed | Apa + ADT | Placebo + ADT | 525/527 | OS and rPFS | 44 | NE/52.2 | 0.65 (0.53–0.79) | [11] | |
LATITUDE | High risk | AA + P + ADT | Placebo + P + ADT | 597/602 | OS | 51.8 | 53.3/36.5 | 0.66 (0.56–0.78) | [4] | |
STAMPEDE (arm G) | L/H risk L/H volume | AA + P + ADT | Placebo + P + ADT | 501/502 | OS | 73.2 | 79.2/45.6 | 0.60 (0.50–0.71) | [5] | |
STAMPEDE (arm H) | L/H volume | RT to prostate + ADT | ADT | 1032/1029 | OS | 37 | 42.5/41.6 | 0.92 (0.80–1.06) | [8] | |
HORRAD | PSA > 20ng/mL and bone lesions | RT to prostate + ADT | ADT | 216/216 | OS | 47 | 45/43 | 0.90 (0.70–1.14) | [12] | |
nmCRPC | ARAMIS | PSA doubling time ≤ 10 months and basal PSA ≥ 2 ng/mL | Daro + ADT | Placebo + ADT | 955/554 | MFS | 29 | NE/NE | 0.69 (0.53–0.88) | [13] |
PROSPER | Enza + ADT | Placebo + ADT | 933/468 | MFS | 48 | 67/56.3 | 0.73 (0.61–0.89) | [14] | ||
SPARTAN | Apa + ADT | Placebo + ADT | 806/401 | MFS | 52 | 73.9/59.9 | 0.78 (0.64–0.96) | [15] | ||
TAX 327 | With or without symptoms | Doce + P | Mitoxantrone + P | 335/337 | OS | NA | 19.2/16.3 | 0.79 (0.67–0.93) | [16] | |
1st line mCRPC | COU-AA-302 | A/midly symptomatic pre-doce; no visceral mtx | AA + P + ADT | Placebo + P + ADT | 546/542 | rPFS, OS | 49.2 | 34.7/30.3 | 0.81 (0.70–0.93) | [17] |
PREVAIL | A/midly symptomatic pre-doce | Enza + ADT | Placebo + ADT | 872/845 | rPFS, OS | 69 | 36/31 | 0.83 (0.75–0.93) | [18] | |
IMPACT | A/midly symptomatic pre-/post-doce; Gleason ≤ 7; no visceral mtx | Sipuleucel-T + ADT | Placebo + ADT | 341/171 | OS | 34.1 | 25.8/21.7 | 0.78 (0.61–0.98) | [19] | |
IPAtential150 | A/midly symptomatic | AA + P + ipatasertib | AA + P + placebo | 547/554 | (bio)rPFS | 19 | NE/NE | NE | [20] | |
≥2nd line mCRPC | COU-AA-301 | Post-doce | AA + P | Placebo + P | 797/398 | OS | 20.2 | 15.8/11.2 | 0.74 (0.64–0.86) | [21] |
TROPIC | Post-doce | Cabazitaxel + P | Mitoxantrone + P | 378/377 | OS | 25.5 | NA/NA | 0.72 (0.61–0.84) | [22] | |
AFFIRM | Post-doce | Enza | Placebo | 800/399 | OS | 14.4 | 18.4/13.6 | 0.63 (0.53–0.75) | [23] | |
ALSYMPCA | Pre- and post-doce or unfit for doce; bone mtx and no visceral mtx | Radium-223 | Placebo | 614/307 | OS | NA | 14.9/11.3 | 0.70 (0.58–0.83) | [24] | |
CARD | Post-doce and post-ARSi | Cabazitaxel | AA+P/Enza | 129/126 | IPFS | 9.2 | 13.6/11 | 0.64 (0.46–0.89) | [25] | |
PROFOUND | Post-ARSi and pre-/post-taxane | Olaparib | AA+P/Enza | 162/83 * | (bio)IPFS | 21 | 19.1/14.7* | 0.69 (0.50–0.97) * | [26] | |
VISION | Post-ARSi and 1–2 taxanes | LuPSMA | Standard of care | 551/280 | rPFS, OS | 20.9 | 15.3/11.3 | 0.62 (0.52–0.74) | [27] |
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Cattrini, C.; España, R.; Mennitto, A.; Bersanelli, M.; Castro, E.; Olmos, D.; Lorente, D.; Gennari, A. Optimal Sequencing and Predictive Biomarkers in Patients with Advanced Prostate Cancer. Cancers 2021, 13, 4522. https://doi.org/10.3390/cancers13184522
Cattrini C, España R, Mennitto A, Bersanelli M, Castro E, Olmos D, Lorente D, Gennari A. Optimal Sequencing and Predictive Biomarkers in Patients with Advanced Prostate Cancer. Cancers. 2021; 13(18):4522. https://doi.org/10.3390/cancers13184522
Chicago/Turabian StyleCattrini, Carlo, Rodrigo España, Alessia Mennitto, Melissa Bersanelli, Elena Castro, David Olmos, David Lorente, and Alessandra Gennari. 2021. "Optimal Sequencing and Predictive Biomarkers in Patients with Advanced Prostate Cancer" Cancers 13, no. 18: 4522. https://doi.org/10.3390/cancers13184522
APA StyleCattrini, C., España, R., Mennitto, A., Bersanelli, M., Castro, E., Olmos, D., Lorente, D., & Gennari, A. (2021). Optimal Sequencing and Predictive Biomarkers in Patients with Advanced Prostate Cancer. Cancers, 13(18), 4522. https://doi.org/10.3390/cancers13184522