Abstract 618P
Background
Vactosertib (TEW-7197), a highly selective and potent inhibitor of TGF-β receptor type 1, combined with PD-1 inhibition could induce immune restoration and enhance anti-tumor responses in patients with microsatellite stable metastatic colorectal cancer (mCRC). MP-VAC-204 is a phase 1b/2a study evaluating the combination of vactosertib with pembrolizumab in previously treated MSS mCRC. Here we report the updated safety and efficacy data of this phase 1b/2a study (NCT03724851).
Methods
Eligible patients were >18 years old with ECOG performance status 0-1 and who had disease progression after treatment with all available therapies including fluoropyrimidine and oxaliplatin or irinotecan. The MSI testing was conducted by local or central tests. Tumor biomarkers including granzyme B+ CD8+T cells were measured in serial tumor samples by multiplex immunofluorescence staining and deconvolution-based immune cell analysis. Circulating proteins, TGF-b, CTGF, PAI-1 and PDGF-AB were evaluated from serial blood samples.
Results
A total of 105 patients (36 in 200mg BID, 30 in 200mg QD, 7 in 200mg TID and 32 in 300mg BID) were enrolled. In all patients (N=105), the overall objective response rate was 13.3% [95% confidence interval (CI), 7.5- 21.4] and median duration of response was 6.0 months (95% CI, 2.9-Not Reached [NR]). Median PFS and OS were 1.3 months (95% CI, 1.2-1.4) and 15.8 months (95% CI, 7.9-NR) respectively. Overall PFS rate at 6 months was 17.1% (95% CI, 10.5-25.7) and overall survival rate at 12 months was 61.0% (95% CI, 51.0-70.3). Rash, headache and decreased appetite were the most frequent treatment emergent adverse events (TEAEs), but all were manageable. No fatal serious TEAEs were observed in any cohort. The levels of TGF-β signaling related circulating cytokines, TGF-b, CTGF, PAI-1, and PDGF-AB/BB were significantly decreased after treatment. Tumor-infiltrating and microenvironmental granzyme B secretion by CD8+ cells were significantly increased after treatment.
Conclusions
Vactosertib combined with pembrolizumab showed anti-tumor activity, prolonged overall survival and manageable safety profiles in patients with MSS mCRC. The phase 2 part is still ongoing.
Clinical trial identification
NCT03724851.
Editorial acknowledgement
We sincerely thank all patients, families, and investigators who participated in this study. The authors thank Merck & Co. staffs for supporting this study.
Legal entity responsible for the study
MedPacto.
Funding
MedPacto.
Disclosure
All authors have declared no conflicts of interest.
Resources from the same session
570P - Subclasses of microsatellite-instability colorectal cancer with unique molecular features and immune cell infiltration patterns
Presenter: Kui Wu
Session: Poster session 10
571P - Artificial intelligence-powered analysis of tumor lymphocytes infiltration: A translational analysis of AtezoTRIBE trial
Presenter: Martina Carullo
Session: Poster session 10
572P - Neoantigen heterogeneity among subtypes in colorectal cancer
Presenter: Fuqiang Li
Session: Poster session 10
574P - Comparative analysis of the tumor immune microenvironment (TIME) in primary and metastatic sites of microsatellite stable (MSS) and microsatellite instability-high (MSI) colorectal cancer
Presenter: Marwan Fakih
Session: Poster session 10
575P - Impact of immunological alterations and post-operative biomarkers on long-term outcomes in patients with locally advanced rectal cancer: Results from the STAR-01 study cohort
Presenter: Francesca Negri
Session: Poster session 10
576P - Prognostic values of a modified diagnostic biopsy-adapted immunoscore based on double immunohistochemical staining in patients with locally advanced rectal cancer
Presenter: Qiang Zeng
Session: Poster session 10
577P - Systematically assessing the intratissue microbiota in 937 patients with colorectal cancer
Presenter: Huanzi Zhong
Session: Poster session 10
578P - Tissue-resident microbiota characterization in colorectal cancer metastases
Presenter: Philippe Stevens
Session: Poster session 10
579P - A clinico-imaging predictive artificial intelligence model of relapse in colon cancer using baseline CT scans
Presenter: América Bueno Gómez
Session: Poster session 10