Log in

Radiomic Parameters for the Evaluation of Response to Treatment in Metastatic Colorectal Cancer Patients with Liver Metastasis: Findings from the CAVE-GOIM mCRC Phase 2 Trial

  • Short Communication
  • Published:
Clinical Drug Investigation Aims and scope Submit manuscript

Abstract

Background

CAVE is a single arm, Phase 2 trial, that demonstrated anti-tumor activity of cetuximab rechallenge plus avelumab in patients with RAS wild type (wt) metastatic colorectal cancer (mCRC).

Objective

We conducted a post hoc analysis to identify potential radiomic biomarkers for patients with CRC liver metastasis (LM).

Patients and Methods

Patients with LM that could be measured by enhanced contrast phase computed tomography (CT) imaging at baseline and at first response evaluation were included. Multiple texture parameters were extracted with the LifeX Software. Delta-texture (D-TA) variations were calculated by comparing data at baseline and after treatment.

Results

Overall, 55/77 patients (71%) had LM; 39 met the inclusion criteria for the current analysis. The D-TA parameters that significantly correlated at univariate analysis with median progression-free survival (mPFS) were EntropyHistogram (p = 0.021), HomogeneityGLCM (p < 0.001) and Dissimilarity GLCM (p = 0.002). At multivariate analysis, only HomogeneityGLCM resulted significant for PFS (p = 0.001). Patients (19/39, 48.7%) with reduction of HomogeneityGLCM experienced better mPFS (4.6 vs 2.9 months; HR 0.45; 95% CI 0.23–0.88; p = 0.021) and median overall survival (mOS) (17.3 vs 6.8 months; HR 0.40, 95% CI 0.21–0.80; p = 0.010). A trend to better mPFS, was also observed in patients with RAS/BRAF wt circulating tumor DNA and reduction of HomogeneityGLCM. Overall survival was significantly better in this subgroup of patients with low HomogeneityGLCM: mOS was 17.8 (95% CI 15.5–20.2) versus 6.8 months (95% CI 3.6–10.0) (HR 0.34, 95% CI 0.14–0.81; p = 0.016).

Conclusion

Reduction in the D-TA parameter HomogeneityGLCM by radiomic analysis correlates with improved outcomes in patients with LM receiving cetuximab rechallenge plus avelumab therapy. Larger prospective studies are needed to validate and confirm these findings.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2

References

  1. Ciardiello F, Ciardiello D, Martini G, Napolitano S, Tabernero J, Cervantes A. Clinical management of metastatic colorectal cancer in the era of precision medicine. CA Cancer J Clin. 2022;72(4):372–401. https://doi.org/10.3322/caac.21728.

    Article  PubMed  Google Scholar 

  2. Cremolini C, Rossini D, Dell’Aquila E, et al. Rechallenge for patients with RAS and BRAF wild-type metastatic colorectal cancer with acquired resistance to first-line cetuximab and irinotecan: a phase 2 single-arm clinical trial. JAMA Oncol. 2019;5(3):343–50. https://doi.org/10.1001/jamaoncol.2018.5080.

    Article  PubMed  Google Scholar 

  3. Sartore-Bianchi A, Pietrantonio F, Lonardi S, et al. Circulating tumor DNA to guide rechallenge with panitumumab in metastatic colorectal cancer: the Phase 2 CHRONOS trial. Nat Med. 2022;28(8):1612–8. https://doi.org/10.1038/s41591-022-01886-0.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  4. Napolitano S, De Falco V, Martini G, et al. Panitumumab plus trifluridine-tipiracil as anti-epidermal growth factor receptor rechallenge therapy for refractory RAS wild-type metastatic colorectal cancer: a phase 2 randomized clinical trial [published correction appears in JAMA Oncol. 2024;10(4):541. https://doi.org/10.1001/jamaoncol.2024.0068]. JAMA Oncol. 2023;9(7):966–70. https://doi.org/10.1001/jamaoncol.2023.0655.

  5. Napolitano S, Ciardiello D, De Falco V, et al. Panitumumab plus trifluridine/tipiracil as anti-EGFR rechallenge therapy in patients with refractory RAS wild-type metastatic colorectal cancer: overall survival and subgroup analysis of the randomized phase II VELO trial [published online ahead of print, 2023 Jun 30]. Int J Cancer. 2023. https://doi.org/10.1002/ijc.34632.10.1002/ijc.34632.

    Article  PubMed  Google Scholar 

  6. Parseghian CM, Loree JM, Morris VK, et al. Anti-EGFR-resistant clones decay exponentially after progression: implications for anti-EGFR re-challenge. Ann Oncol. 2019;30(2):243–9. https://doi.org/10.1093/annonc/mdy509.

    Article  CAS  PubMed  Google Scholar 

  7. Ciardiello D, Mauri G, Sartore-Bianchi A, et al. The role of anti-EGFR rechallenge in metastatic colorectal cancer, from available data to future developments: a systematic review. Cancer Treat Rev. 2024;124: 102683. https://doi.org/10.1016/j.ctrv.2024.102683.

    Article  CAS  PubMed  Google Scholar 

  8. Martinelli E, Martini G, Famiglietti V, et al. Cetuximab rechallenge plus avelumab in pretreated patients with RAS wild-type metastatic colorectal cancer: the phase 2 single-arm clinical CAVE trial. JAMA Oncol. 2021;7(10):1529–35. https://doi.org/10.1001/jamaoncol.2021.2915.

    Article  PubMed  Google Scholar 

  9. Ciardiello D, Famiglietti V, Napolitano S, et al. Final results of the CAVE trial in RAS wild type metastatic colorectal cancer patients treated with cetuximab plus avelumab as rechallenge therapy: Neutrophil to lymphocyte ratio predicts survival. Clin Colorectal Cancer. 2022;21(2):141–8. https://doi.org/10.1016/j.clcc.2022.01.005.

    Article  PubMed  Google Scholar 

  10. Mayerhoefer ME, Materka A, Langs G, et al. Introduction to radiomics. J Nucl Med. 2020;61(4):488–95. https://doi.org/10.2967/jnumed.118.222893.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  11. Arimura H, Soufi M, Ninomiya K, Kamezawa H, Yamada M. Potentials of radiomics for cancer diagnosis and treatment in comparison with computer-aided diagnosis. Radiol Phys Technol. 2018;11(4):365–74. https://doi.org/10.1007/s12194-018-0486-x.

    Article  PubMed  Google Scholar 

  12. Lambin P, Leijenaar RTH, Deist TM, et al. Radiomics: the bridge between medical imaging and personalized medicine. Nat Rev Clin Oncol. 2017;14(12):749–62. https://doi.org/10.1038/nrclinonc.2017.141.

    Article  PubMed  Google Scholar 

  13. Eloyan A, Yue MS, Khachatryan D. Tumor heterogeneity estimation for radiomics in cancer. Stat Med. 2020;39(30):4704–23. https://doi.org/10.1002/sim.8749.

    Article  PubMed  PubMed Central  Google Scholar 

  14. Badic B, Tixier F, Cheze Le Rest C, Hatt M, Visvikis D. Radiogenomics in colorectal cancer. Cancers (Basel). 2021;13(5):973. https://doi.org/10.3390/cancers13050973. (Published 2021 Feb 26).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  15. Nardone V, Reginelli A, Guida C, et al. Delta-radiomics increases multicentre reproducibility: a phantom study. Med Oncol. 2020;37(5):38. https://doi.org/10.1007/s12032-020-01359-9. (Published 2020 Mar 31).

    Article  PubMed  Google Scholar 

  16. Nioche C, Orlhac F, Boughdad S, et al. LIFEx: a freeware for radiomic feature calculation in multimodality imaging to accelerate advances in the characterization of tumor heterogeneity. Cancer Res. 2018;78(16):4786–9. https://doi.org/10.1158/0008-5472.CAN-18-0125.

    Article  CAS  PubMed  Google Scholar 

  17. Nardone V, Tini P, Pastina P, et al. Radiomics predicts survival of patients with advanced non-small cell lung cancer undergoing PD-1 blockade using Nivolumab. Oncol Lett. 2020;19(2):1559–66. https://doi.org/10.3892/ol.2019.11220.

    Article  CAS  PubMed  Google Scholar 

  18. Bullock AJ, Fakih MG, Gordon MS, et al. Results from an expanded phase 1 trial of botensilimab, a multifunctional anti-CTLA-4, plus balstilimab (anti-PD-1) for metastatic heavily pretreated microsatellite stable colorectal cancer. Ann Oncol. 2023;34(suppl 1):S178–9.

    Article  Google Scholar 

  19. Ciardiello D, Martinelli E, Troiani T, et al. Anti-EGFR rechallenge in patients with refractory ctDNA RAS/BRAF wt metastatic colorectal cancer: a nonrandomized controlled trial [published correction appears in JAMA Netw Open. 2024 May 1;7(5):e2418437]. JAMA Netw Open. 2024;7(4):e245635. https://doi.org/10.1001/jamanetworkopen.2024.5635. (Published 2024 Apr 1).

    Article  PubMed  PubMed Central  Google Scholar 

  20. Ravanelli M, Agazzi GM, Tononcelli E, et al. Texture features of colorectal liver metastases on pretreatment contrast-enhanced CT may predict response and prognosis in patients treated with bevacizumab-containing chemotherapy: a pilot study including comparison with standard chemotherapy. Radiol Med. 2019;124(9):877–86. https://doi.org/10.1007/s11547-019-01046-4.

    Article  PubMed  Google Scholar 

  21. Granata V, Fusco R, Setola SV, et al. CT-based radiomics analysis to predict histopathological outcomes following liver resection in colorectal liver metastases. Cancers (Basel). 2022;14(7):1648. https://doi.org/10.3390/cancers14071648. (Published 2022 Mar 24).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  22. Andersen IR, Thorup K, Andersen MB, et al. Texture in the monitoring of regorafenib therapy in patients with colorectal liver metastases. Acta Radiol. 2019;60(9):1084–93. https://doi.org/10.1177/0284185118817940.

    Article  PubMed  Google Scholar 

  23. Giannini V, Rosati S, Defeudis A, et al. Radiomics predicts response of individual HER2-amplified colorectal cancer liver metastases in patients treated with HER2-targeted therapy. Int J Cancer. 2020;147(11):3215–23. https://doi.org/10.1002/ijc.33271.

    Article  CAS  PubMed  Google Scholar 

  24. Lubner MG, Stabo N, Lubner SJ, et al. CT textural analysis of hepatic metastatic colorectal cancer: pre-treatment tumor heterogeneity correlates with pathology and clinical outcomes. Abdom Imaging. 2015;40(7):2331–7. https://doi.org/10.1007/s00261-015-0438-4.

    Article  PubMed  Google Scholar 

  25. Ahn SJ, Kim JH, Park SJ, Han JK. Prediction of the therapeutic response after FOLFOX and FOLFIRI treatment for patients with liver metastasis from colorectal cancer using computerized CT texture analysis. Eur J Radiol. 2016;85(10):1867–74. https://doi.org/10.1016/j.ejrad.2016.08.014.

    Article  PubMed  Google Scholar 

  26. Napolitano S, Martini G, Ciardiello D, et al. CAVE-2 (Cetuximab-AVElumab) mCRC: a phase II randomized clinical study of the combination of avelumab plus cetuximab as a rechallenge strategy in pre-treated RAS/BRAF wild-type mCRC patients. Front Oncol. 2022;12:940523. https://doi.org/10.3389/fonc.2022.940523. (Published 2022 Jun 27).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

Download references

Acknowledgments

We would like to thank GOIM for the support in conducting the CAVE trial.

Author information

Authors and Affiliations

Authors

Corresponding authors

Correspondence to Erika Martinelli or Davide Ciardiello.

Ethics declarations

Funding information

This was an academic nonprofit study, conducted in the Gruppo Oncologico dell’Italia Meridionale (GOIM) clinical research network. Cetuximab and avelumab were provided by Merck KGaA, Darmstadt, Germany. Two research grants, that partially covered the costs of the study, were provided by Merck and by Regione Campania (I-Cure Research Project, Grant number: Cup 21C17000030007).

Competing Interests

Prof. Martinelli reported receiving travel grants from AstraZeneca and Pierre Fabre and being an advisory board member for AstraZeneca, Bayer, Amgen, Merck KGaK, Roche, Sanofi, Servier and Pierre Fabre outside the submitted work. Dr. D Ciardiello, reported receiving travel grants from Sanofi, BMS and Merck KGaA outside the submitted work. Dr. Martini reported honoraria from Servier and Incyte outside the submitted work. Dr. Napolitano reported that received travel grants from Amgen and Merck KGaA outside the submitted work. Dr. Cardone reported receiving personal fees from Bayer outside the submitted work. Dr. Avallone reported receiving personal fees for consulting from Amgen, AstraZeneca, MSD and Eisai and being an advisory board member for Amgen and Servier outside the submitted work. Prof. Cremolini reported receiving honoraria from Amgen, Bayer, Merck, Pierre Fabre, Roche and Servier. Consulting or advisory role for Amgen, Bayer, MSD, Nordic Pharma, Roche, Takeda. Speakers’ Bureau for Amgen, Pierre Fabre, MSD, Servier. Research funding from Amgen, Bayer, Merck, Servier. Dr. Pietrantonio reported receiving research grants from Incyte, Lilly, Bristol Myers Squibb, Amgen, Agenus and AstraZeneca and honoraria from Bristol Myers Squibb, Amgen, Merck Serono, Bayer, Takeda, GSK, Ipsen, Astellas, Servier, MSD, and Pierre Fabre outside the submitted work. Dr. Maiello has served as advisor and speaker for AstraZeneca, Eli Lilly, Servier, Sanofi Genzyme, Roche, Merck, Eisai, Pfizer outside the submitted work. Prof. Troiani reported receiving travel grants from AstraZeneca and Pierre Fabre and being an advisory board member for AstraZeneca, Bayer, Amgen, Merck KGaK, Roche, Sanofi, Servier and Pierre Fabre outside the submitted work. Prof. Ciardiello F reported serving on the advisory board for Amgen and Servier during the conduct of the study and serving on the advisory board for MSD, Merck KGaA, Roche, Pfizer, Bayer, Pierre Fabre and Eisai outside the submitted work. All other authors declare no competing interests.

Ethics Approval

The CAVE-mCRC trial was approved by the Ethic Committee of Università degli Studi della Campania Luigi Vanvitelli, Azienda Ospedaliera Universitaria-AORN “Ospedali dei Colli”, Napoli, Italy. CAVE-mCRC trial is registered with Eudract.ema.europa.eu, EudraCT number: 2017-004392-32 and ClinicalTrial.gov identifier: NCT04561336.

Consent to Participate

All patients provided written informed consent before entering the trial.

Consent for Publication

Not applicable.

Availability of Data and Material

The data that support the findings of our study and further information are available from the corresponding author upon reasonable request.

Code Availability

Not applicable.

Authors' Contributions

Prof. E. Martinelli, Dr. D. Ciardiello, Dr. V. Nardone, Prof. F. Ciardiello, had full access to all of the data in the study and are accountable for the integrity and the accuracy of the data analysis. Conception and Design of the Trial Conceptualization: Martinelli E, Ciardiello D, Nardone V, Martini G, Ciardiello F and Reginelli A. Financial support: Ciardiello. Acquisition, analysis and interpretation of the clinical data: all authors. Data curation: all authors. Statistical formal analysis: Nardone V, Famiglietti. Translational research data analysis and interpretation: Martinelli E, Ciardiello D, Ciardiello F. Writing of the manuscript-original draft: Martinelli E, Ciardiello D, Ciardiello F, and Nardone V. Final approval of the manuscript Writing – review and editing: all authors. The work reported in the paper has been performed by the authors, unless clearly specified in the text.

Supplementary Information

Below is the link to the electronic supplementary material.

Supplementary file1 (PDF 481 KB)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Martinelli, E., Ciardiello, D., Martini, G. et al. Radiomic Parameters for the Evaluation of Response to Treatment in Metastatic Colorectal Cancer Patients with Liver Metastasis: Findings from the CAVE-GOIM mCRC Phase 2 Trial. Clin Drug Investig (2024). https://doi.org/10.1007/s40261-024-01372-0

Download citation

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s40261-024-01372-0

Navigation