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Poster Display session

641P - METRIX: International real-world study of c-Met protein overexpression in patients with non-small cell lung cancer

Date

07 Dec 2024

Session

Poster Display session

Presenters

Hidehito Horinouchi

Citation

Annals of Oncology (2024) 35 (suppl_4): S1632-S1678. 10.1016/annonc/annonc1698

Authors

H. Horinouchi1, Z. Xu2, S. Savic Prince3, P. De la Iglesia4, D.H. Enrico5, P. Desmeules6, A. Koslucher7, P.J. Ansell8, R. Thiébaut9, C. Hader9

Author affiliations

  • 1 Department Of Thoracic Oncology, National Cancer Center Hospital, 104-0045 - Tokyo/JP
  • 2 Department Of Pathology, Queen Elizabeth II Health Sciences Centre and Dalhousie University, Halifax/CA
  • 3 Pathology Department, Institute of Pathology and Medical Genetics, University Hospital Basel, Basel/CH
  • 4 Servicio De Anatomía Patológica, Hospital Italiano de Buenos Aires, Buenos Aires/AR
  • 5 Medical Oncology Department, Instituto Alexander Fleming, C1426ANZ - Buenos Aires/AR
  • 6 Institut Universitaire De Cardiologie Et De Pneumologie De Québec, Université Laval, Quebec City/CA
  • 7 Medical Affairs And Health Technology Statistics Department, Abbvie Inc., North Chicago/US
  • 8 Precision Medicine Oncology, AbbVie Inc., North Chicago/US
  • 9 Global Medical Affairs Department, Abbvie Inc., North Chicago/US

Resources

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Abstract 641P

Background

The c-Met (MET protein)-directed antibody-drug conjugate telisotuzumab vedotin had promising efficacy in patients (pts) with EGFR wildtype nonsquamous non-small cell lung cancer (NSQ NSCLC) and c-Met protein overexpression (OE). The METRIX study is investigating the prevalence of c-Met protein OE across pt characteristics and is assessing associations with key oncogenic driver mutations.

Methods

This retrospective, international, non-therapeutic study analyzes biopsy/resection specimens from adult pts with advanced/metastatic NSQ NSCLC (Jan 2019–present) for c-Met protein expression by immunohistochemistry (MET SP44 antibody + ultraView detection kit [Ventana Roche]). Twelve countries are participating, aiming to include >500 pts. c-Met protein OE was defined as ≥25% tumor cells with membrane staining at 3+ intensity, and c-Met high OE as ≥50% at 3+. Pt demographics, disease characteristics, and biomarker status were collected locally.

Results

This interim analysis included data from 108 pts from Japan, Canada, Argentina, and Switzerland. Median age was 66 (28–84) yr; 53% were male. Most pts had ECOG 0/1 (42/46%), tumor stage III/IV at initial diagnosis (34/51%), and metastatic disease at study start (71%). A total of 45 (42%) pts had c-Met protein OE; 31 (29%) had high c-Met OE. The prevalence of c-Met OE (OE/high OE) was numerically higher in male (44/37%) vs female (39/20%) pts and in Asian (47/40%) vs White (44/29%) pts. By region, prevalence (OE/high OE) was 47/40% in Asia, 36/24% in Europe, 44/28% in Latin America, and 40/23% in North America. Additional biomarker expression data are listed in the table Table: 641P

Proportion of biomarker expression by c-Met protein status

Total c-Met protein OE (≥25%) c-Met protein high OE (≥50%)
n=108 Y n=45 N n=63 Y n=31 N n=77
EGFR mutation, n/N (%) 26/102 (25) 12/44 (27) 14/58 (24) 8/30 (27) 18/72 (25)
ALK1 translocation, n/N (%) 7/100 (7) 4/43 (9) 3/57 (5) 3/30 (10) 4/70 (6)
ROS1 translocation, n/N (%) 1/99 (1) 1/41 (2) 0/58 (0) 1/29 (3) 0/70 (0)
KRAS, n/N (%) 30/64 (47) 15/27 (56) 15/37 (41) 9/16 (56) 21/48 (44)
BRAF, n/N (%) 8/89 (9) 3/38 (8) 5/51 (10) 2/27 (7) 6/62 (10)
RET, n/N (%) 2/38 (5) 1/15 (7) 1/23 (4) 1/12 (8) 1/26 (4)
PD-L1, mean tumor proportion score (SD)a 28.3 (35.1) 47.1 (39.7) 14.2 (23.0) 51.6 (40.1) 18.5 (27.7)

aMissing data, n=3. N = pts with available test results.

.

Conclusions

Prevalence of c-Met protein OE is high in NSCLC, and it is important to identify these pts for the selection of novel therapeutic strategies. Understanding the prevalence of c-Met protein OE in different pt populations and its overlap with other biomarker alterations could aid in therapy decisions. Future results from METRIX will expand these data.

Clinical trial identification

Editorial acknowledgement

Medical writing support was provided by Judith Land, PhD, CMPP, from Aptitude Health, The Hague, the Netherlands, and funded by AbbVie.

Legal entity responsible for the study

AbbVie Inc.

Funding

AbbVie Inc.

Disclosure

H. Horinouchi: Financial Interests, Personal, Research Funding: AbbVie, MSD, Chugai/Roche, Daiichi Sankyo, Janssen, Genomic Health; Financial Interests, Personal, Other, Honoraria: AstraZeneca, MSD, Lilly, BMS, Ono, Janssen, Kyowa Kirin, Nihonkayaku. Z. Xu: Financial Interests, Personal, Research Funding: Roche, AstraZeneca, Pfizer, EMD Serono, AbbVie, EXACTIS. S. Savic Prince: Financial Interests, Personal, Other, Scientific services for this non-interventional retrospective study: AbbVie; Financial Interests, Personal, Other, Consultancy: AstraZeneca; Financial Interests, Personal, Advisory Board: Merck. P. Desmeules: Financial Interests, Personal, Research Funding: AstraZeneca, Pfizer, Novartis, Roche, EMD Serrono, Eli Lilly, Amgen, Merck, AbbVie. A. Koslucher, P.J. Ansell, R. Thiébaut, C. Hader: Financial Interests, Personal, Full or part-time Employment: AbbVie; Financial Interests, Personal, Stocks or ownership: AbbVie. All other authors have declared no conflicts of interest.

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