Top Tweets for #APCCC25
What can MRI contribute in biochemical recurrence? Presentation by Hebert Vargas, MD @nyulangone. #APCCCDiagnostics25 written coverage by @RKSayyid @USC > https://t.co/JbRfmDKSYP @APCCC_Lugano #APCCC25

@TylerSbrt joins us to discuss the #APCCC25 Diagnostics conference live from Lugano! We also discuss our favorite scenic runs... Photo from Tyler below. Any guesses where?
https://t.co/WNNnqCXLoo

Genomic classifiers at the time of biochemical recurrence. Presented by @dr_coops @UCSFCancer. #APCCCDiagnostics25 written coverage by @RKSayyid @USC > https://t.co/bIDablDss8 @APCCC_Lugano #APCCC25

When to assess biology with a re-biopsy? Presentation by @mishabeltran @DanaFarber. #APCCCDiagnostics25 written coverage by @zklaassen_md @GACancerCenter > https://t.co/3ePA6s9ARQ #APCCC25 @APCCC_Lugano

What do we expect from monitoring in metastatic #ProstateCancer? Presentation by @BertrandTOMBAL @IREC_UCLouvain. #APCCCDiagnostics25 written coverage by @zklaassen_md @GACancerCenter > https://t.co/YHp4mSTobo @APCCC_Lugano #APCCC25

PSA Relapse: When Do You Need to Act? Presentation by Jochen Walz, MD @paoli_calmettes. #APCCCDiagnostics25 written coverage by @RKSayyid @USC > https://t.co/0ds5XL4yRE @APCCC_Lugano #APCCC25

What do #clinicians need to know from the PSMA RLT selection PET? Presentation by Oliver Sartor, MD @MayoClinic. #APCCCDiagnostics25 written coverage by @zklaassen_md @GACancerCenter on UroToday > https://t.co/EF7tZ4cU3Y @APCCC_Lugano #APCCC25

What do you do with a negative scan: Treat now or later with a positive scan? Presentation by @gpalapa2 @UMich. #APCCCDiagnostics25 written coverage by @RKSayyid @USC on UroToday > https://t.co/IhQ9gFMJDX @APCCC_Lugano #APCCC25

Biochemical Recurrence: When Do You Image? Presentation by @piet_ost @uzgent. #APCCCDiagnostics25 written coverage by @RKSayyid @USC on UroToday > https://t.co/rBaIzB523f @APCCC_Lugano #APCCC25

PCWG4 and SPARC - Including How to Define Progression on PSMA PET Imaging. Presentation by Michael Morris, MD @MSKCancerCenter. #APCCCDiagnostics25 written coverage by @zklaassen_md @GACancerCenter > https://t.co/xxpMUW8l5H @APCCC_Lugano #APCCC25

ππ΅ LIVE from #APCCC25! #APCCCDiagnostics25
π’ Refining Prostate Cancer Screening: Balancing Detection & Overtreatment
@APCCC_Lugano @OncoAlert
π‘ Key insights from todayβs session:
β
PSA Testing Challenges: Overdiagnosis, false negatives, and overtreatmentβhow MRI pre-biopsy can improve case selection.
β
Health Disparities: Socioeconomic deprivation linked to 14% higher mortality and 29% higher metastatic presentation in prostate cancer.
β
Project Man-VAN π: A mobile outreach model for targeted screening among ethnic minorities and underserved populations.
β
Optimization Strategies: Reducing non-attendance rates (23%) and improving efficiency via pre-appointment digital tools.
β
Economic Evaluation: Comparing traditional GP pathways vs. Man Van outreach, streamlining early detection.
π₯ Panel discussion with:
@Albert0Briganti @Ecastromarcos @drlouiseemmett @DrAGafita @karolien_goffin @ProfHadaschik @DrMHofman @Prof_Nick_James @piet_ost @gpalapa2 @MoniqueRoobol @TylerSbrt @DrSpratticus @Tilki_De @BertrandTOMBAL @Nina18205 @UrsulaVogl @ResearchWyatt
@ProfKHerrmann @stefanofanti4 @Silke_Gillessen @AOmlin

ππ΅ LIVE from #APCCC25! #APCCCDiagnostics25
π’ Breaking down patient-centered PSMA PET reports!
π‘ Fantastic insights from @LoebStacy on the importance of clarity in imaging reports to improve patient understanding and clinical decision-making!
@APCCC_Lugano @OncoAlert
πΉ Key takeaways:
β
MRI and PSMA PET reports need clear and standardized terminology
β
PSMA PET uptake in high-risk prostate cancer has surged (~70% by 2023)
β
AI chatbots, including ChatGPT, show potential in improving patient comprehension
β
Challenges persist: Only 11% of PSMA PET reports use a standardized format
π₯ Panel discussion with:
@Albert0Briganti @Ecastromarcos @drlouiseemmett @DrAGafita @karolien_goffin @ProfHadaschik @DrMHofman @Prof_Nick_James @piet_ost @gpalapa2 @MoniqueRoobol @TylerSbrt @DrSpratticus @Tilki_De @BertrandTOMBAL @Nina18205 @UrsulaVogl @ResearchWyatt
@ProfKHerrmann @stefanofanti4 @Silke_Gillessen @AOmlin

ππ΅ LIVE from #APCCC25! #APCCCDiagnostics25
π’ Predictive and/or prognostic nomograms and biomarkers for PSMA RLT
π Crystal-clear insights from @DrAGafita on optimizing PSMA radioligand therapy outcomes through predictive and prognostic tools!
@APCCC_Lugano @OncoAlert
π Key takeaways:
πΉ ctDNA as a biomarker: Lower ctDNA levels (<2%) correlate with better responses to [177Lu]Lu-PSMA-617 compared to cabazitaxel.
πΉ LuPSMA nomograms can effectively stratify patients into low- vs. high-risk groups, improving treatment decision-making.
πΉ SUVmean and tumor burden: Prognostic but not predictive for survival.
πΉ RECIP criteria provide a structured approach for assessing treatment response.
@ProfKHerrmann @stefanofanti4 @Silke_Gillessen @AOmlin
Panel: @Albert0Briganti @Ecastromarcos @drlouiseemmett @DrAGafita @karolien_goffin @ProfHadaschik @DrMHofman @Prof_Nick_James @piet_ost @gpalapa2 @MoniqueRoobol @TylerSbrt @DrSpratticus @Tilki_De @BertrandTOMBAL @Nina18205 @UrsulaVogl @ResearchWyatt
![nataliagandur's tweet photo. ππ΅ LIVE from #APCCC25! #APCCCDiagnostics25
π’ Predictive and/or prognostic nomograms and biomarkers for PSMA RLT
π Crystal-clear insights from @DrAGafita on optimizing PSMA radioligand therapy outcomes through predictive and prognostic tools!
@APCCC_Lugano @OncoAlert
π Key takeaways:
πΉ ctDNA as a biomarker: Lower ctDNA levels (<2%) correlate with better responses to [177Lu]Lu-PSMA-617 compared to cabazitaxel.
πΉ LuPSMA nomograms can effectively stratify patients into low- vs. high-risk groups, improving treatment decision-making.
πΉ SUVmean and tumor burden: Prognostic but not predictive for survival.
πΉ RECIP criteria provide a structured approach for assessing treatment response.
@ProfKHerrmann @stefanofanti4 @Silke_Gillessen @AOmlin
Panel: @Albert0Briganti @Ecastromarcos @drlouiseemmett @DrAGafita @karolien_goffin @ProfHadaschik @DrMHofman @Prof_Nick_James @piet_ost @gpalapa2 @MoniqueRoobol @TylerSbrt @DrSpratticus @Tilki_De @BertrandTOMBAL @Nina18205 @UrsulaVogl @ResearchWyatt](https://pbs.twimg.com/media/Gk4hYWTWoAEHOKt.jpg)
ππ΅ LIVE from #APCCC25! #APCCCDiagnostics25
π’ What to do in non-responding PSMA RLT patients?
π‘ A highly engaging session by @drlouiseemmett on managing patients who do not respond to PSMA radioligand therapy!
@APCCC_Lugano @OncoAlert
πΉ Key takeaways:
β
DNA damage increases PSMA expression β Chemotherapy agents like Daunorubicin and Mitoxantrone, as well as radiation (>6 Gy), can enhance PSMA expression, potentially improving response to PSMA-targeted therapies.
β
Treatment intensification strategies β Ongoing trials like AcTION (NCT04597411) and PSMAcTION (NCT06780670) are exploring novel approaches to enhance PSMA RLT effectiveness.
β
Alternative alpha-emitting therapies β Investigational agents such as Β²ΒΉΒ²Pb-PSMA and Β²Β²Β³Ra (Radium-223) offer potential strategies for patients with disease progression post-PSMA RLT.
π¬ Exciting updates on new trials and strategies to overcome resistance in PSMA RLT!
@ProfKHerrmann @stefanofanti4 @Silke_Gillessen @AOmlin

New fashion blood markers for metastatic #ProstateCancer. Presentation by @Ecastromarcos. #APCCCDiagnostics25 written coverage by @zklaassen_md @GACancerCenter > https://t.co/N0O9ik7tnu @APCCC_Lugano #APCCC25

ππ΅ LIVE from #APCCC25! #APCCCDiagnostics25
π’ Key insights from PSMA PET for selecting patients for PSMA-RLT
π₯ Outstanding presentation by Oliver Sartor on how to optimize patient selection for [ΒΉβ·β·Lu]PSMA therapy!
πΉ Imaging is just one piece of the puzzle! Decision-making also considers:
Disease burden (oligo vs. polymetastatic, tumor volume)
Phenotype (adenocarcinoma, neuroendocrine, etc.)
Lesion kinetics (response/progression speed)
New lesions: Systemic vs. focal progression
Image-based biomarkers (PSMA/FDG SUVmean, TTV)
π‘ PSMA SUVmean & Tumor Volume (TTV) are prognostic, not predictive!
Higher SUVmean correlates with better OS (TheraP trial, Hofman et al.)
ctDNA fraction at baseline may predict response to PSMA-RLT
π Final take-home message:
π Imaging helps guide therapy, but clinical and molecular factors MUST be integrated for the best patient outcomes.
@APCCC_Lugano @OncoAlert @ProfKHerrmann @stefanofanti4 @Silke_Gillessen @AOmlin
Panel: @Albert0Briganti @Ecastromarcos @drlouiseemmett @DrAGafita @karolien_goffin @ProfHadaschik @DrMHofman @Prof_Nick_James @piet_ost @gpalapa2 @MoniqueRoobol @TylerSbrt @DrSpratticus @Tilki_De @BertrandTOMBAL @Nina18205 @UrsulaVogl @ResearchWyatt
![nataliagandur's tweet photo. ππ΅ LIVE from #APCCC25! #APCCCDiagnostics25
π’ Key insights from PSMA PET for selecting patients for PSMA-RLT
π₯ Outstanding presentation by Oliver Sartor on how to optimize patient selection for [ΒΉβ·β·Lu]PSMA therapy!
πΉ Imaging is just one piece of the puzzle! Decision-making also considers:
Disease burden (oligo vs. polymetastatic, tumor volume)
Phenotype (adenocarcinoma, neuroendocrine, etc.)
Lesion kinetics (response/progression speed)
New lesions: Systemic vs. focal progression
Image-based biomarkers (PSMA/FDG SUVmean, TTV)
π‘ PSMA SUVmean & Tumor Volume (TTV) are prognostic, not predictive!
Higher SUVmean correlates with better OS (TheraP trial, Hofman et al.)
ctDNA fraction at baseline may predict response to PSMA-RLT
π Final take-home message:
π Imaging helps guide therapy, but clinical and molecular factors MUST be integrated for the best patient outcomes.
@APCCC_Lugano @OncoAlert @ProfKHerrmann @stefanofanti4 @Silke_Gillessen @AOmlin
Panel: @Albert0Briganti @Ecastromarcos @drlouiseemmett @DrAGafita @karolien_goffin @ProfHadaschik @DrMHofman @Prof_Nick_James @piet_ost @gpalapa2 @MoniqueRoobol @TylerSbrt @DrSpratticus @Tilki_De @BertrandTOMBAL @Nina18205 @UrsulaVogl @ResearchWyatt](https://pbs.twimg.com/media/Gk4b5w6WsAAvx6m.jpg)
ππ΄ LIVE from #APCCC25! #APCCCDiagnostics25
π’ The evolving role of imaging in prostate cancer management
π€ Insightful discussion by Joe O'Sullivan on optimizing MRI & PSMA PET reporting for better clinical decision-making!
@APCCC_Lugano @OncoAlert
π MDTβs key role in bridging imaging and oncology perspectives
π Avoiding unnecessary information while ensuring essential clinical insights
π Refining reports to aid in prognosis, treatment response & patient outcomes
@ProfKHerrmann @stefanofanti4 @Silke_Gillessen @AOmlin
Panel: @Albert0Briganti @Ecastromarcos @drlouiseemmett @DrAGafita @karolien_goffin @ProfHadaschik @DrMHofman @Prof_Nick_James @piet_ost @gpalapa2 @MoniqueRoobol @TylerSbrt @DrSpratticus @Tilki_De @BertrandTOMBAL @Nina18205 @UrsulaVogl @ResearchWyatt

ππ΅ LIVE from #APCCC25! #APCCCDiagnostics25
π’ Monitoring of patients on PSMA-radioligand therapy
π₯ Masterful presentation by Andrei Iagaru on optimizing monitoring strategies for patients receiving PSMA-radioligand therapy!
@APCCC_Lugano @OncoAlert
π Key highlights:
β
Cost comparison of imaging modalities: FDG-PET, PSMA-PET, and 177Lu-PSMA-617 SPECT/CT
β
Patient selection criteria using PSMA & FDG PET/CT for therapy eligibility
β
Post-treatment SPECT/CT: 49% of patients had management changes due to imaging findings
β
Impact on survival: Patients with SPECT-based response had prolonged OS compared to those with progression
π Optimizing imaging strategies is critical for patient selection and response evaluation! π
@ProfKHerrmann @stefanofanti4 @Silke_Gillessen @AOmlin @Albert0Briganti @Ecastromarcos @drlouiseemmett @DrAGafita @karolien_goffin @ProfHadaschik @DrMHofman @Prof_Nick_James @piet_ost @gpalapa2 @MoniqueRoobol @TylerSbrt @DrSpratticus @Tilki_De @BertrandTOMBAL @Nina18205 @UrsulaVogl @ResearchWyatt π

ππ΄ LIVE from #APCCC25! #APCCCDiagnostics25
π’ When to assess biology with ctDNA?
π Crystal-clear explanation by @ResearchWyatt on the role of ctDNA in dynamic tumor assessment and treatment decisions!
@APCCC_Lugano @OncoAlert
π‘ Key takeaways:
β
Early ctDNA clearance predicts better outcomes compared to PSA alone.
β
ctDNA as a response biomarker is being integrated into RECIST guidelines.
β
Challenges remain: standardization, biological confounders, and optimal timing.
β
Next steps: refining thresholds, simplifying assays, and designing trials to validate interventions.
@ProfKHerrmann @stefanofanti4 @Silke_Gillessen @AOmlin @Albert0Briganti @Ecastromarcos @drlouiseemmett @DrAGafita @karolien_goffin @ProfHadaschik @DrMHofman @Prof_Nick_James @piet_ost @gpalapa2 @MoniqueRoobol @TylerSbrt @DrSpratticus @Tilki_De @BertrandTOMBAL @Nina18205 @UrsulaVogl @ResearchWyatt

ππ΄ LIVE from #APCCC25! #APCCCDiagnostics25
π’ When to assess biology with ctDNA?
π Crystal-clear explanation by @ResearchWyatt on the role of ctDNA in dynamic tumor assessment and treatment decisions!
@APCCC_Lugano @OncoAlert
π‘ Key takeaways:
β
Early ctDNA clearance predicts better outcomes compared to PSA alone.
β
ctDNA as a response biomarker is being integrated into RECIST guidelines.
β
Challenges remain: standardization, biological confounders, and optimal timing.
β
Next steps: refining thresholds, simplifying assays, and designing trials to validate interventions.
@ProfKHerrmann @stefanofanti4 @Silke_Gillessen @AOmlin @Albert0Briganti @Ecastromarcos @drlouiseemmett @DrAGafita @karolien_goffin @ProfHadaschik @DrMHofman @Prof_Nick_James @piet_ost @gpalapa2 @MoniqueRoobol @TylerSbrt @DrSpratticus @Tilki_De @BertrandTOMBAL @Nina18205 @UrsulaVogl @ResearchWyatt

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![nataliagandur's tweet photo. ππ΅ LIVE from #APCCC25! #APCCCDiagnostics25
π’ Predictive and/or prognostic nomograms and biomarkers for PSMA RLT
π Crystal-clear insights from @DrAGafita on optimizing PSMA radioligand therapy outcomes through predictive and prognostic tools!
@APCCC_Lugano @OncoAlert
π Key takeaways:
πΉ ctDNA as a biomarker: Lower ctDNA levels (<2%) correlate with better responses to [177Lu]Lu-PSMA-617 compared to cabazitaxel.
πΉ LuPSMA nomograms can effectively stratify patients into low- vs. high-risk groups, improving treatment decision-making.
πΉ SUVmean and tumor burden: Prognostic but not predictive for survival.
πΉ RECIP criteria provide a structured approach for assessing treatment response.
@ProfKHerrmann @stefanofanti4 @Silke_Gillessen @AOmlin
Panel: @Albert0Briganti @Ecastromarcos @drlouiseemmett @DrAGafita @karolien_goffin @ProfHadaschik @DrMHofman @Prof_Nick_James @piet_ost @gpalapa2 @MoniqueRoobol @TylerSbrt @DrSpratticus @Tilki_De @BertrandTOMBAL @Nina18205 @UrsulaVogl @ResearchWyatt](https://pbs.twimg.com/media/Gk4hYUOX0AAFXlB.jpg)
![nataliagandur's tweet photo. ππ΅ LIVE from #APCCC25! #APCCCDiagnostics25
π’ Predictive and/or prognostic nomograms and biomarkers for PSMA RLT
π Crystal-clear insights from @DrAGafita on optimizing PSMA radioligand therapy outcomes through predictive and prognostic tools!
@APCCC_Lugano @OncoAlert
π Key takeaways:
πΉ ctDNA as a biomarker: Lower ctDNA levels (<2%) correlate with better responses to [177Lu]Lu-PSMA-617 compared to cabazitaxel.
πΉ LuPSMA nomograms can effectively stratify patients into low- vs. high-risk groups, improving treatment decision-making.
πΉ SUVmean and tumor burden: Prognostic but not predictive for survival.
πΉ RECIP criteria provide a structured approach for assessing treatment response.
@ProfKHerrmann @stefanofanti4 @Silke_Gillessen @AOmlin
Panel: @Albert0Briganti @Ecastromarcos @drlouiseemmett @DrAGafita @karolien_goffin @ProfHadaschik @DrMHofman @Prof_Nick_James @piet_ost @gpalapa2 @MoniqueRoobol @TylerSbrt @DrSpratticus @Tilki_De @BertrandTOMBAL @Nina18205 @UrsulaVogl @ResearchWyatt](https://pbs.twimg.com/media/Gk4hYRuWcAAFjxC.jpg)
![nataliagandur's tweet photo. ππ΅ LIVE from #APCCC25! #APCCCDiagnostics25
π’ Predictive and/or prognostic nomograms and biomarkers for PSMA RLT
π Crystal-clear insights from @DrAGafita on optimizing PSMA radioligand therapy outcomes through predictive and prognostic tools!
@APCCC_Lugano @OncoAlert
π Key takeaways:
πΉ ctDNA as a biomarker: Lower ctDNA levels (<2%) correlate with better responses to [177Lu]Lu-PSMA-617 compared to cabazitaxel.
πΉ LuPSMA nomograms can effectively stratify patients into low- vs. high-risk groups, improving treatment decision-making.
πΉ SUVmean and tumor burden: Prognostic but not predictive for survival.
πΉ RECIP criteria provide a structured approach for assessing treatment response.
@ProfKHerrmann @stefanofanti4 @Silke_Gillessen @AOmlin
Panel: @Albert0Briganti @Ecastromarcos @drlouiseemmett @DrAGafita @karolien_goffin @ProfHadaschik @DrMHofman @Prof_Nick_James @piet_ost @gpalapa2 @MoniqueRoobol @TylerSbrt @DrSpratticus @Tilki_De @BertrandTOMBAL @Nina18205 @UrsulaVogl @ResearchWyatt](https://pbs.twimg.com/media/Gk4hYP4X0AAEKWd.jpg)




![nataliagandur's tweet photo. ππ΅ LIVE from #APCCC25! #APCCCDiagnostics25
π’ Key insights from PSMA PET for selecting patients for PSMA-RLT
π₯ Outstanding presentation by Oliver Sartor on how to optimize patient selection for [ΒΉβ·β·Lu]PSMA therapy!
πΉ Imaging is just one piece of the puzzle! Decision-making also considers:
Disease burden (oligo vs. polymetastatic, tumor volume)
Phenotype (adenocarcinoma, neuroendocrine, etc.)
Lesion kinetics (response/progression speed)
New lesions: Systemic vs. focal progression
Image-based biomarkers (PSMA/FDG SUVmean, TTV)
π‘ PSMA SUVmean & Tumor Volume (TTV) are prognostic, not predictive!
Higher SUVmean correlates with better OS (TheraP trial, Hofman et al.)
ctDNA fraction at baseline may predict response to PSMA-RLT
π Final take-home message:
π Imaging helps guide therapy, but clinical and molecular factors MUST be integrated for the best patient outcomes.
@APCCC_Lugano @OncoAlert @ProfKHerrmann @stefanofanti4 @Silke_Gillessen @AOmlin
Panel: @Albert0Briganti @Ecastromarcos @drlouiseemmett @DrAGafita @karolien_goffin @ProfHadaschik @DrMHofman @Prof_Nick_James @piet_ost @gpalapa2 @MoniqueRoobol @TylerSbrt @DrSpratticus @Tilki_De @BertrandTOMBAL @Nina18205 @UrsulaVogl @ResearchWyatt](https://pbs.twimg.com/media/Gk4b5skWcAA3EVL.jpg)
![nataliagandur's tweet photo. ππ΅ LIVE from #APCCC25! #APCCCDiagnostics25
π’ Key insights from PSMA PET for selecting patients for PSMA-RLT
π₯ Outstanding presentation by Oliver Sartor on how to optimize patient selection for [ΒΉβ·β·Lu]PSMA therapy!
πΉ Imaging is just one piece of the puzzle! Decision-making also considers:
Disease burden (oligo vs. polymetastatic, tumor volume)
Phenotype (adenocarcinoma, neuroendocrine, etc.)
Lesion kinetics (response/progression speed)
New lesions: Systemic vs. focal progression
Image-based biomarkers (PSMA/FDG SUVmean, TTV)
π‘ PSMA SUVmean & Tumor Volume (TTV) are prognostic, not predictive!
Higher SUVmean correlates with better OS (TheraP trial, Hofman et al.)
ctDNA fraction at baseline may predict response to PSMA-RLT
π Final take-home message:
π Imaging helps guide therapy, but clinical and molecular factors MUST be integrated for the best patient outcomes.
@APCCC_Lugano @OncoAlert @ProfKHerrmann @stefanofanti4 @Silke_Gillessen @AOmlin
Panel: @Albert0Briganti @Ecastromarcos @drlouiseemmett @DrAGafita @karolien_goffin @ProfHadaschik @DrMHofman @Prof_Nick_James @piet_ost @gpalapa2 @MoniqueRoobol @TylerSbrt @DrSpratticus @Tilki_De @BertrandTOMBAL @Nina18205 @UrsulaVogl @ResearchWyatt](https://pbs.twimg.com/media/Gk4b5oSXgAAwOc9.jpg)
![nataliagandur's tweet photo. ππ΅ LIVE from #APCCC25! #APCCCDiagnostics25
π’ Key insights from PSMA PET for selecting patients for PSMA-RLT
π₯ Outstanding presentation by Oliver Sartor on how to optimize patient selection for [ΒΉβ·β·Lu]PSMA therapy!
πΉ Imaging is just one piece of the puzzle! Decision-making also considers:
Disease burden (oligo vs. polymetastatic, tumor volume)
Phenotype (adenocarcinoma, neuroendocrine, etc.)
Lesion kinetics (response/progression speed)
New lesions: Systemic vs. focal progression
Image-based biomarkers (PSMA/FDG SUVmean, TTV)
π‘ PSMA SUVmean & Tumor Volume (TTV) are prognostic, not predictive!
Higher SUVmean correlates with better OS (TheraP trial, Hofman et al.)
ctDNA fraction at baseline may predict response to PSMA-RLT
π Final take-home message:
π Imaging helps guide therapy, but clinical and molecular factors MUST be integrated for the best patient outcomes.
@APCCC_Lugano @OncoAlert @ProfKHerrmann @stefanofanti4 @Silke_Gillessen @AOmlin
Panel: @Albert0Briganti @Ecastromarcos @drlouiseemmett @DrAGafita @karolien_goffin @ProfHadaschik @DrMHofman @Prof_Nick_James @piet_ost @gpalapa2 @MoniqueRoobol @TylerSbrt @DrSpratticus @Tilki_De @BertrandTOMBAL @Nina18205 @UrsulaVogl @ResearchWyatt](https://pbs.twimg.com/media/Gk4b5mfXsAAmMnc.jpg)











