Gut-associated checkpoint as a prognostic biomarker in metastatic renal cell carcinoma (mRCC): Results from a randomized first-line clinical trial.

4512 Background: The gut microbiota modulates anti-cancer immune response and therefore benefit to immune checkpoint inhibitors (ICIs). Gut dysbiosis impacts the MadCAM-1/α4β7 axis leading to recirculation of immunosuppressive α4β7+Tr17 cells into tumors. From mechanistic insight to biomarker development, soluble MAdCMA-1 (sMAdCAM-1) is a circulating surrogate marker of gut dysbiosis. We aim to develop sMAdCAM-1 as a prognostic biomarker to ICI-based therapy in patients (pts) with mRCC. Methods: Using a Luminex assay, sMAdCAM-1 levels were measured in available plasma samples at baseline from 612 pts (69% of the intent-to-treat population) from the phase III JAVELIN Renal 101 trial (NCT02684006), which compared avelumab + axitinib with sunitinib in previously untreated mRCC pts. sMAdCAM-1 was examined on the original, per 10^4-scaled, and log-transformed scales. Linear assumption was visually checked by deviance residual and restricted cubic splines (RCS) plots. Optimal cut-off value was established based on the maximum log-rank statistic. Cox regression models were used to assess associations with progression-free survival (PFS) and overall survival (OS). The discrimination of the fitted model was assessed by time-dependent AUC index. Results: Higher sMAdCAM-1 levels were associated with improved PFS (median: 13.9 [11.3 - 6.6] vs 8.4 [6.0 - 9.9] months) and OS rate (at 18 months: 84.2% [80.2 - 87.4] vs 68.1% [59.2 - 75.5]). These associations remained after adjusting for IMDC risk groups (Table 1). The optimal cutoff was 180 ng/ml (25% percentile) based on the OS outcome in the whole population. Residual and RCS plots further confirmed a non-linear relationship of sMAdCAM-1 levels with OS and PFS. Median follow up was 18.9 months. The prognostic model incorporating IMDC + sMAdCAM-1 demonstrated a significant improvement in the AUC at 18 months compared to IMDC alone (0.72 vs 0.68; p=0.01). These associations were independent of study arm. Conclusions: Higher sMAdCAM-1 is associated with improved outcomes to 1 st line regimens in mRCC. sMAdCAM-1 may have an added prognostic value to IMDC. As a diagnostic test of gut dysbiosis, it might guide the selection of pts eligible to microbiota-modulating strategies. The validation in two independent datasets and multi-omics correlation (i.e. fecal metagenomics) are ongoing under an international collaboration network. Association of MAdCam-1 with clinical outcomes using Cox regression model. Parameters PFS HR (95% CI) OS HR (95% CI) Favorable Ref Ref Intermediate 1.77 (1.31- 2.39) <0.001 3.01 (1.60 - 5.66) <0.001 Poor 2.88 (1.99 - 4.17) <0.001 7.91 (4.02 - 15.56) <0.001 sMAdCAM-1(high vs low) 0.75 (0.59 - 0.96) 0.021 0.59 (0.41 - 0.85) 0.004

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Journal
Journal of Clinical Oncology
Published
2025-05-28
DOI
https://doi.org/10.1200/jco.2025.43.16_suppl.4512
Citations
2
Primary Topic
Renal cell carcinoma treatment
Type
article
Field-Weighted Citation Impact
3.04
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article

Gut-associated checkpoint as a prognostic biomarker in metastatic renal cell carcinoma (mRCC): Results from a randomized first-line clinical trial.

Chris Labaki, Eddy Saad, Caiwei Zhong, Gwo‐Shu Mary Lee et al.
2 citations
Journal of Clinical Oncology
Renal cell carcinoma treatment
3.04
article

Gut-associated checkpoint as a prognostic biomarker in metastatic renal cell carcinoma (mRCC): Results from a randomized first-line clinical trial.

Chris Labaki, Eddy Saad, Caiwei Zhong, Gwo‐Shu Mary Lee, Wassim Daoud Khatoun, Renée Maria Saliby, Toni K. Choueiri, Lisa Derosa, Maxine Sun, Wenxin Xu, Wanling Xie, Marc Machaalani, David A. Braun, Laurence Albigès, Laurence Zitvogel, Clara Steiner, Emre Yekedüz, Marc Eid, Ti Cai, Carolina Alves Costa Silva
article en
2 citations

Abstract

4512 Background: The gut microbiota modulates anti-cancer immune response and therefore benefit to immune checkpoint inhibitors (ICIs). Gut dysbiosis impacts the MadCAM-1/α4β7 axis leading to recirculation of immunosuppressive α4β7+Tr17 cells into tumors. From mechanistic insight to biomarker development, soluble MAdCMA-1 (sMAdCAM-1) is a circulating surrogate marker of gut dysbiosis. We aim to develop sMAdCAM-1 as a prognostic biomarker to ICI-based therapy in patients (pts) with mRCC. Methods: Using a Luminex assay, sMAdCAM-1 levels were measured in available plasma samples at baseline from 612 pts (69% of the intent-to-treat population) from the phase III JAVELIN Renal 101 trial (NCT02684006), which compared avelumab + axitinib with sunitinib in previously untreated mRCC pts. sMAdCAM-1 was examined on the original, per 10^4-scaled, and log-transformed scales. Linear assumption was visually checked by deviance residual and restricted cubic splines (RCS) plots. Optimal cut-off value was established based on the maximum log-rank statistic. Cox regression models were used to assess associations with progression-free survival (PFS) and overall survival (OS). The discrimination of the fitted model was assessed by time-dependent AUC index. Results: Higher sMAdCAM-1 levels were associated with improved PFS (median: 13.9 [11.3 - 6.6] vs 8.4 [6.0 - 9.9] months) and OS rate (at 18 months: 84.2% [80.2 - 87.4] vs 68.1% [59.2 - 75.5]). These associations remained after adjusting for IMDC risk groups (Table 1). The optimal cutoff was 180 ng/ml (25% percentile) based on the OS outcome in the whole population. Residual and RCS plots further confirmed a non-linear relationship of sMAdCAM-1 levels with OS and PFS. Median follow up was 18.9 months. The prognostic model incorporating IMDC + sMAdCAM-1 demonstrated a significant improvement in the AUC at 18 months compared to IMDC alone (0.72 vs 0.68; p=0.01). These associations were independent of study arm. Conclusions: Higher sMAdCAM-1 is associated with improved outcomes to 1 st line regimens in mRCC. sMAdCAM-1 may have an added prognostic value to IMDC. As a diagnostic test of gut dysbiosis, it might guide the selection of pts eligible to microbiota-modulating strategies. The validation in two independent datasets and multi-omics correlation (i.e. fecal metagenomics) are ongoing under an international collaboration network. Association of MAdCam-1 with clinical outcomes using Cox regression model. Parameters PFS HR (95% CI) OS HR (95% CI) Favorable Ref Ref Intermediate 1.77 (1.31- 2.39) <0.001 3.01 (1.60 - 5.66) <0.001 Poor 2.88 (1.99 - 4.17) <0.001 7.91 (4.02 - 15.56) <0.001 sMAdCAM-1(high vs low) 0.75 (0.59 - 0.96) 0.021 0.59 (0.41 - 0.85) 0.004

Journal of Clinical OncologyVol. 43(16_suppl)
Beth Israel Deaconess Medical Center (US), Harvard University (US), Université Paris-Saclay (FR), Institut Gustave Roussy (FR), Yale Cancer Center (US), Yale University (US), Ono Pharmaceutical (United States) (US), Dana-Farber Cancer Institute (US), Research & Development Institute (US)
Openalex Percentile: Top 9%
Renal cell carcinoma treatment
3.04
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