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. 2021 Sep 24;11:751986. doi: 10.3389/fonc.2021.751986

Bevacizumab-Induced Tumor Vasculature Normalization and Sequential Chemotherapy in Colorectal Cancer: An Interesting and Still Open Question

Alessandro Ottaiano 1,*, Michele Caraglia 2
PMCID: PMC8497981  PMID: 34631590

Introduction

Bevacizumab is a recombinant fully humanized IgG1 targeting the Vascular Endothelial Growth Factor A (VEGF-A). The rationale of its use in oncology relies on the critical role of VEGF-A-induced neo-angiogenesis in the growth of many solid tumors (13). Since its discovery, many evidences suggested that it did not display direct antitumor action but rather contributes to improve the effects of associated chemotherapy. In fact, following bevacizumab administration, intratumoral vessels become morphologically more organized, and hypoxia and interstitial fluid pressure reduce (“vasculature normalization”); as a consequence, chemotherapy drug delivery into tumor masses ameliorates (4). Avallone et al. published the first randomized phase III study (OBELICS study) comparing the sequential administration of bevacizumab before standard oxaliplatin-based chemotherapy versus a traditional concomitant regimen in metastatic colorectal cancer (CRC) (5). The intent was to optimize bevacizumab and chemotherapy association by administering the chemotherapy in the “normalization window” and ameliorate the antitumor effects. The “normalization window” is the time window during which the anarchist texture of tumor vasculature becomes macroscopically more linear and less dense (14) ( Figure 1 ). The authors fail to meet the primary end-point based on a difference in objective response rate (ORR) between the two arms. The odds ratio of response for experimental (ORR: 56.5%) versus standard arm (ORR: 57.4%) was 0.96 (95% CI: 0.55–1,68, P=0.89). We would add insights and prompt discussion making hypotheses on the causes of failure. This is important for scientific discussion and for planning future trials.

Figure 1.

Figure 1

Schematic representation of the “normalization window” of anti-angiogenic treatment of tumor masses during time and space.

The Heterogeneity of “Normalization Window” in Time and Space

The “normalization window” has an intrinsic heterogeneous nature in time and space. In fact, it is transient and closes as the anti-angiogenic drug effect cyclically reduces ( Figure 1 ). A crucial question rises: which is the nadir of this effect? The theories prediction of this nadir should be integrated into study design to choose the best timing to administer chemotherapy. Unfortunately, this is still an unanswered question. Preclinical xenograft models with tumor cell lines are too homogeneous and far from the wild tumor human mechanisms. However, in some cases, the transient window is identified also earlier and later than 4 days timing used in the study by Avallone et al. (6). Most importantly, in clinical practice, with human subjects, the nadir of normalization is difficult to evaluate and is also physiologically heterogeneous (710). In a mathematical and intuitive modeling of the effect of anti-angiogenic drugs, Hutchinson et al. demonstrated that one of the most important parameters to identify the “normalization window” is the tumor volume rather than the number of metastatic sites accounted for a stratification factor in the randomization procedure of the OBELICS study. Hutchinson describes “normalization windows” ranging until 21 days (11).

Discussion

Some considerations are raised that have not been considered by OBELICS investigators to interpret their results. Are 4 days sufficient to administer chemotherapy in a correct normalization window? The use of diffusion-weighted magnetic resonance (DWMR) imaging, which is widely accepted for monitoring intratumoral vasculature evolution, could have contributed to identify and “personalize” the normalization window. In fact, bevacizumab-induced tumor vasculature normalization should be evaluated and integrated into the design of future trials to adequately assess efficacy of sequential combination treatments (12). The authors’ choice to administer bevacizumab 4 days before chemotherapy was predominantly based on a previous study (BRANCH trial) (13) in rectal cancer; however, this is questionable since both clinical and biological behaviors of colon and rectal cancers, including their molecular signatures, are profoundly different (14). It has also to be considered that the usage of bevacizumab can induce modifications in the assets of cytogenetics and factors involved in the regulation of angiogenesis. In fact, although it was reported that bevacizumab-induced increase in VEGF did not affect the sensitivity of tumors to anticancer treatments, it cannot be excluded that other angiogenic factors can be modulated during single-agent bevacizumab administration inferring the treatment activity (15). Thus, a biomarker-based stratification of the patients (i.e., high vs low basal VEGF-A) should be required in order to evaluate the efficacy of the sequential administration. Moreover, it is reported that bevacizumab in CRC can determine profound metabolic changes peculiar of hypoxic conditions together with HIF (Hypoxia Inducible Factor) increased expression (16). This can, in turn, induce resistance to chemotherapy deserving HIF-blocking strategies to re-sensitize cancer to drugs (17).

In conclusion, we believe that the normalization effect of bevacizumab on tumor vasculature in CRC patients is a fascinating scientific question that remains to be determined as the optimization of the therapy through sequential administration with chemotherapy. In the future, we propose to integrate DWMR imaging in study design to adequately assess the “normalization window” and to perform biomarkers- and tumor volume-based stratification of patients for better interpretation of the results.

Author Contributions

All authors listed have made a substantial, direct, and intellectual contribution to the work and approved it for publication.

Funding

We receive funds from LILT (lega Italiana per la Lotta contro i Tumori) for open access publication fees.

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s Note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Acknowledgments

We acknowledge the LILT (Lega Italiana per la Lotta contro i Tumori-sezione di Napoli) for the support and collaboration.

References

  • 1. Folkman J. Angiogenesis in Cancer, Vascular, Rheumatoid Andother Disease. Nat Med (1995) 1:27–31. doi: 10.1038/nm0195-27 [DOI] [PubMed] [Google Scholar]
  • 2. Ferrara N, Davis-Smyth T. The Biology of Vascular Endothelialgrowth Factor. Endocr Rev (1997) 18:4–25. doi: 10.1210/edrv.18.1.0287 [DOI] [PubMed] [Google Scholar]
  • 3. Presta LG, Chen H, O’Connor SJ, Chisholm V, Meng YG, Krummen L, et al. Humanization of Anantivascular Endothelial Growth Factor Monoclonal Antibody for the Therapy Ofsolid Tumors and Other Disorders. Cancer Res (1997) 57:4593–9. [PubMed] [Google Scholar]
  • 4. Ellis LM. Mechanisms of Action of Bevacizumab as a Component of Therapy for Metastatic Colorectal Cancer. Semin Oncol (2006) 33:S1–7. doi:  10.1053/j.seminoncol.2006.08.002 [DOI] [PubMed] [Google Scholar]
  • 5. Avallone A, Piccirillo MC, Nasti G, Rosati G, Carlomagno C, Di Gennaro E, et al. Effect of Bevacizumab in Combination With Standard Oxaliplatin-Based Regimens in Patients With Metastatic Colorectal Cancer: A Randomized Clinical Trial. JAMA Netw Open (2021) 4(7):e2118475. doi:  10.1001/jamanetworkopen.2021.184752 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6. Dickson PV, Hamner JB, Sims TL, Fraga CH, Ng CY, Rajasekeran S, et al. Bevacizumab-Induced Transient Remodeling of the Vasculature in Neuroblastoma Xenografts Results in Improved Delivery and Efficacy of Systemically Administered Chemotherapy. Clin Cancer Res (2007) 13(13):3942–50. doi:  10.1158/1078-0432.CCR-07-0278 [DOI] [PubMed] [Google Scholar]
  • 7. Anzidei M, Napoli A, Zaccagna F, Cartocci G, Saba L, Menichini G, et al. Liver Metastases From Colorectal Cancer Treated With Conventional and Antiangiogenetic Chemotherapy: Evaluation With Liver Computed Tomography Perfusion and Magnetic Resonance Diffusion-Weighted Imaging. J Comput Assist Tomogr (2011) 35(6):690–6. doi:  10.1097/RCT.0b013e318230d905 [DOI] [PubMed] [Google Scholar]
  • 8. Van Cutsem E, Verheul HM, Flamen P, Rougier P, Beets-Tan R, Glynne-Jones R, et al. Imaging in Colorectal Cancer: Progress and Challenges for the Clinicians. Cancers (Basel) (2016) 8(9):81. doi:  10.3390/cancers8090081 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9. Hirashima Y, Yamada Y, Tateishi U, Kato K, Miyake M, Horita Y, et al. Pharmacokinetic Parameters From 3-Tesla DCEMRI as Surrogate Biomarkers of Antitumor Effects of Bevacizumab Plus FOLFIRI in Colorectal Cancer With Liver Metastasis. Int J Cancer (2012) 130(10):2359–65. doi:  10.1002/ijc.26282 [DOI] [PubMed] [Google Scholar]
  • 10. Granata V, Fusco R, Catalano O, Filice S, Amato DM, Nasti G, et al. Early Assessment of Colorectal Cancer Patients With Liver Metastases Treated With Antiangiogenic Drugs: The Role of Intravoxelincoherent Motion in Diffusion-Weighted Imaging. PloS One (2015) 10(11):e0142876. doi:  10.1371/journal.pone.0142876 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11. Hutchinson LG, Mueller HJ, Gaffney EA, Maini PK, Wagg J, Phipps A, et al. Modeling Longitudinal Preclinical Tumor Size Data to Identify Transient Dynamics in Tumor Response to Antiangiogenic Drugs. CPT Pharmacometrics Syst Pharmacol (2016) 5(11):636–45. doi:  10.1002/psp4.12142 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12. O'Connor JP, Carano RA, Clamp AR, Ross J, Ho CC, Jackson A, et al. Quantifying Antivascular Effects of Monoclonal Antibodies to Vascular Endothelial Growth Factor: Insights From Imaging. Clin Cancer Res (2009) 15(21):6674–82. doi:  10.1158/1078-0432.CCR-09-0731 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13. Avallone A, Pecori B, Bianco F, Aloj L, Tatangelo F, Romano C, et al. Critical Role of Bevacizumab Scheduling in Combination With Pre-Surgical Chemo-Radiotherapy in MRI-Defined High-Risk Locally Advanced Rectal Cancer: Results of the BRANCH Trial. Oncotarget (2015) 6(30):30394–407. doi:  10.18632/oncotarget.4724 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14. Guinney J, Dienstmann R, Wang X, de Reynies A, Schlicker A, Soneson C, et al. The Consensus Molecular Subtypes of Colorectal Cancer. Nat Med (2015) 21(11):1350–6. doi:  10.1038/nm.3967 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15. Alidzanovic L, Starlinger P, Schauer D, Maier T, Feldman A, Buchberger E, et al. The VEGF Rise in Blood of Bevacizumab Patients Is Not Based on Tumor Escape But a Host-Blockade of VEGF Clearance. Oncotarget (2016) 7(35):57197–212. doi:  10.18632/oncotarget.11084 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16. Greening DW, Lee ST, Ji H, Simpson RJ, Rigopoulos A, Murone C, et al. Molecular Profiling of Cetuximab and Bevacizumab Treatment of Colorectal Tumours Reveals Perturbations in Metabolic and Hypoxic Response Pathways. Oncotarget (2015) 6(35):38166–80. doi:  10.18632/oncotarget.6241 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17. Wei TT, Lin YT, Tang SP, Luo CK, Tsai CT, Shun CT, et al. Metabolic Targeting of HIF-1α Potentiates the Therapeutic Efficacy of Oxaliplatin in Colorectal Cancer. Oncogene (2020) 39(2):414–27. doi:  10.1038/s41388-019-0999-8 [DOI] [PubMed] [Google Scholar]

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