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Profili molecolari e trattamento

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PROFILI MOLECOLARI E TRATTAMENTO

Modena, 23 Novembre 2018 Dr Fabio Gelsomino

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Outline

Current biomarkers RAS

BRAF MSI

Emergent biomarkers

Monitoring the clonal evolution of CRC

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Outline

Current biomarkers RAS

BRAF MSI

Emergent biomarkers

Monitoring the clonal evolution of CRC

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Current Biomarkers: BRAF

Pietrantonio F et al, 2015 Rowland A et al, 2016

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Stintzing S et al, 2017

Current Biomarkers: BRAF

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Corcoran R.B et al, 2018

Current Biomarkers: BRAF

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Corcoran R.B et al, 2018

Current Biomarkers: BRAF

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Confirmed ORR 41%

Van Cutsem E et al, 2018

Current Biomarkers: BRAF

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Barras D et al, 2017

Current Biomarkers: BRAF

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Jones JC et al, 2017

• 2,2% of pts

• 22% of all BRAF mutations

• Compared to BRAF V600:

- Younger - M > F - Left-sided - MSS

- > OS

- possible coexisting RAS mutations

Current Biomarkers: BRAF

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Funkhouser et al, 2012 15% all stages  4% in stage IV

Current Biomarkers: MSI

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Le DT et al, 2015 PD-1 Blockade in Tumors with Mismatch-Repair Deficiency

Current Biomarkers: MSI

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A phase 2, Single-arm Study of Pembrolizumab in Pretreated patients to Address Significant Patient Unmet Needs

KEYNOTE-164-3rd line (refractory)

Current Biomarkers: MSI

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A phase 3 Study of Pembrolizumab Monotherapy vs Standard Chemotherapy in 1L MSI CRC

KEYNOTE-177-1st line

Current Biomarkers: MSI

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Nivolumab +/- Ipilimumab (Checkmate 142)

Overman MJ et al, 2016; Overman MJ et al, 2017

Current Biomarkers: MSI

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Overman MJ et al, 2017

Current Biomarkers: MSI

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Overman JM et al, 2018

Current Biomarkers: MSI

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Current Biomarkers: MSI

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Current Biomarkers: MSI

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Bourdais R et al, 2017 POLE mut 0,5-2% of mCRC

Somatic > germline

Germline mut associated with multiple adenoma and CRC (PPAP)

Younger, male, right-sided, BRAF mut (32%), earlier-stage and better prognosis in early-stage Mutations in exonuclease domain of POLE associated with high mutation rate, multiple

tumoral neo-epitopes and T-Lymphocytes infiltration  STRONG RATIONALE FOR IMMUNOTHERAPY

Polymerase proofreading domain mutations: new opportunities for

immunotherapy in hypermutatad colorectal cancer beyond MMR deficiency

Current Biomarkers: MSI

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Outline

Current biomarkers RAS

BRAF MSI

Emergent biomarkers

Monitoring the clonal evolution of CRC

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Lin Nu et al, 2007

Sartore-Bianchi A et al, 2018 3-5% in KRAS exon 2 WT stage IV CRC;

distal > proximal

Emergent Biomarkers: HER-2

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Antoniotti C et al, 2018

Emergent Biomarkers: HER-2

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Sartore-Bianchi A et al, 2016 Hurwitz W et al, 2017

Emergent Biomarkers: HER-2

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Liu X et al, 2010 1-2% of de novo mCRC

Emergent Biomarkers: c-MET

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Raghav K et al, 2016

Emergent Biomarkers: c-MET

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Emergent Biomarkers: c-MET

Van Cutsem E et al, 2014

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Emergent Biomarkers: c-MET

Rimassa L et al, 2017

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Emergent Biomarkers: c-MET

Rimassa L et al, 2017

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2.5% of CRC

Kloosterman WP et al, 2017

Emergent Biomarkers: gene fusions

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Pietrantonio F et al, 2017 0.2-2.4% of CRC

Elderly Right-sided Node-spreading RAS WT

MSI-H

Poor prognosis

Resistance to anti-EGFR

Emergent Biomarkers: gene fusions

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Rolfo C et al, 2015

Emergent Biomarkers: gene fusions

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Sartore-Bianchi A et al, 2016

Emergent Biomarkers: gene fusions

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Emergent Biomarkers: gene fusions

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Emergent Biomarkers: gene fusions

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Russo M et al, 2015

Emergent Biomarkers: gene fusions

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Fuse MJ et al, 2017

Emergent Biomarkers: gene fusions

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Pietrantonio F et al, 2018 0,2%

Older pts Right-sided MSI-H

RAS and BRAF WT

Emergent Biomarkers: gene fusions

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Le Rolle AF et al, 2015

Emergent Biomarkers: gene fusions

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Cremolini C et al, 2017

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Cremolini C et al, 2017

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Cremolini C et al, 2017

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Outline

Current biomarkers RAS

BRAF MSI

Emergent biomarkers

Monitoring the clonal evolution of CRC

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Normanno N et al, 2018

Monitoring the clonal evolution of CRC

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Monitoring the clonal evolution of CRC

Normanno N et al, 2015

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Normanno N et al, 2018

Monitoring the clonal evolution of CRC

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Monitoring the clonal evolution of CRC

Hahn S et al, 2015; Jones F et al, 2016

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• Only 50% of patients with RAS and BRAF WT CRC achieve a response to anti- EGFR

• A panel uncommon genetic alterations may help to «negatively hyperselect»

patients who benefit from anti-EGFR (PRESSING panel)

• HER-2,c-MET, NTRK and RET are not only predictor of resistance to anti- EGFR but druggable targets

• Liquid biopsy is the most intriguing tool to monitor the molecular evolution of the disease, but deserves further validations

Conclusions

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Thanks!!!

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