Different Toxicity Profiles Predict Third Line Treatment Efficacy in Metastatic Colorectal Cancer Patients
Abstract
:1. Introduction
2. Methods
2.1. Study Design
2.2. Patients
2.3. Treatment Plan and Toxicity Assessment
2.4. Statistical Considerations
3. Results
3.1. Patient Characteristics
3.2. Toxicity Correlations
4. Discussion
Author Contributions
Funding
Acknowledgments
Conflicts of Interest
References
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Characteristics | Regorafenib | TAS | |
---|---|---|---|
n = 69 | n = 50 | ||
Age at first diagnosis (years) | |||
Median (Range) | 60 (33–81) | 59 (33–80) | |
Sex (%) | |||
Male | 49 (71) | 34 (68) | |
Female | 20 (29) | 16 (32) | |
Localization (%) | |||
Right Colon | 15 (22) | 11 (22) | |
Left Colon + Rectum | 54 (78) | 39 (78) | |
Ras Gen Status (%) | |||
Wildtyp | 36 (52) | 25 (50) | |
Mutant | 33 (48) | 25 (50) | |
BRAF Status (%) | |||
Wildtyp | 63 (91) | 44 (88) | |
Mutant | 1 (1) | 1 (2) | |
Unknown | 5 (7) | 5 (10) | |
Starting Dose/day (%) | |||
80 mg | 35 mg/m2 | 2 (3) | 50 (100) |
120 mg | 21 (30) | ||
160 mg | 46 (67) | ||
Therapyline (%) | |||
Regorafenib only | 35 (51) | ||
Regorafenib before TAS | 32 (46) | 32 (64) | |
TAS before regorafenib | 2 (3) | 2 (4) | |
TAS only | 16 (32) | ||
Adverse events (%) | |||
Fatigue | 29 (42.0) | 26 (52.0) | |
Hand-Foot-Skin-Reaction | 25 (36.2) | 0 (0) | |
Hoarseness | 24 (34,8) | 0 (0) | |
Weightloss/Anorexia | 21 (30.4) | 8 (16) | |
Hypertension | 14 (20.3) | 0 (0) | |
Nausea/Vertigo | 14 (20.3) | 17 (34) | |
Diarrhea | 13 (18.8) | 12 (24) | |
Oral-Mucositis/Stomatitis | 11 (15.9) | 0 (0) | |
Abdominal Pain | 8 (11.6) | 7 (14) | |
Absence of appetite | 8 (11.6) | 0 (0) | |
Paraesthesis/Neuropathie | 6 (8.7) | 0 (0) | |
Anaemia | 0 (0) | 13 (26) | |
Neutropenia | 0 (0) | 10 (20) | |
Leukopenia | 0 (0) | 11 (22) | |
Vomiting | 0 (0) | 9 (18) |
Regorafenib | |||
---|---|---|---|
Cox-Regression with Consideration of A-Priori Covariates | Nausea/Vertigo | ||
OS | PFS | DCR | |
HR (95% CI); p-Value | HR (95% CI); p-Value | OR (95% CI); p-Value | |
Available Cases | n = 66 | n = 53 | n = 53 |
Yes vs.No | 3.621 (1.519–8.630); 0.004 | 0.969 (0.387–2.428); 0.946 | 1.448 (0.361–5.809); 0.602 |
Age | |||
0.990 (0.950–1.031); 0.626 | 1.017 (0.981–1.055); 0.351 | 0.992 (0.934–1.053); 0.786 | |
Sex | |||
Female vs. Male | 1.074 (0.444–2.599); 0.873 | 1.284 (0.531–3.109); 0.579 | 0.483 (0.133–1.749); 0.267 |
Ras-Gen-Status | |||
Wildtyp vs. Mutant | 2.175 (0.951–4.975); 0.066 | 2.197 (1.033–4.671); 0.041 | 0.374 (0.118–1.185); 0.095 |
Localization | |||
Right vs. Left | 0.845 (0.326–2.188); 0.729 | 1.083 (0.457–2.566); 0.857 | 1.043 (0.261–4.169); 0.953 |
Cox-Regression with Consideration of A-priori Covariates | Oral-Mucositis/Stomatitis | ||
OS | PFS | DCR | |
HR (95% CI); p-Value | HR (95% CI); p-Value | OR (95% CI); p-Value | |
Available Cases | n = 66 | n = 53 | n = 53 |
Yes vs. No | 2.484 (0.924–6.677); 0.071 | 3.258 (1.381–7.687); 0.007 | 0.071 (0.007–0.718); 0.025 |
Age | |||
0.999 (0.959–1.041); 0.956 | 1.026 (0.987–1.068); 0.197 | 0.978 (0.917–1.043); 0.493 | |
Sex | |||
Female vs. Male | 0.902 (0.383–2.124); 0.813 | 1.428 (0.591–3.450); 0.429 | 0.349 (0.084–1.454); 0.148 |
Ras-Gen-Status | |||
Wildtyp vs. Mutant | 2.125 (0.909–4.966); 0.082 | 2.385 (1.113–5.113); 0.025 | 0.329 (0.095–1.144); 0.080 |
Localization | |||
Right vs. Left | 0.835 (0.320–2.177); 0.712 | 1.067 (0.447–2.548); 0.884 | 1.029 (0.243–4.363); 0.969 |
TAS | |||
---|---|---|---|
Cox-Regression with Consideration of A-Priori Covariates | Weightloss/Anorexia | ||
OS | PFS | DCR | |
HR (95% CI); p-Value | HR (95% CI); p-Value | OR (95% CI); p-Value | |
Available Cases | n = 48 | n = 45 | n = 45 |
Yes vs. No | 5.595 (1.286–24.344); 0.022 | 0.987 (0.259–3.764); 0.985 | 2.982 (0.425–20.906); 0.271 |
Age | |||
1.004 (0.962–1.049); 0.844 | 0.981 (0.950–1.014); 0.251 | 1.021 (0.957–1.090); 0.527 | |
Sex | |||
Female vs. Male | 2.437 (0.695–8.546); 0.164 | 1.319 (0.540–3.223); 0.544 | 0.674 (0.148–3.065); 0.610 |
Ras-Gen-Status | |||
Wildtyp vs. Mutant | 1.457 (0.417–5.089); 0.555 | 1.192 (0.393–3.608); 0.757 | 1.595 (0.380–6.702); 0.524 |
Localization | |||
Right vs. Left | 0.920 (0.185–4.565); 0.918 | 0.920 (0.185–4.565); 0.918 | 3.547 (0.322–39.086); 0.301 |
Constant | |||
0.010 (-); 0.136 | |||
Cox-Regression with Consideration of A-Priori Covariates | Neutropenia | ||
OS | PFS | DCR | |
HR (95% CI); p-Value | HR (95% CI); p-Value | OR (95% CI); p-Value | |
Available Cases | n = 48 | n = 45 | n = 45 |
Yes vs. No | 0.193 (0.037–1.020); 0.053 | 0.345 (0.134–0.893); 0.028 | 2.250 (0.425–11.918); 0.340 |
Age | |||
1.018 (0.970–1.069); 0.463 | 0.977 (0.942–1.012); 0.189 | 1.007 (0.947–1.070); 0.831 | |
Sex | |||
Female vs. Male | 1.720 (0.579–5.107); 0.329 | 1.537 (0.662–3.566); 0.317 | 0.438 (0.108–1.784); 0.249 |
Ras-Gen-Status | |||
Wildtyp vs. Mutant | 1.151 (0.340–3.890); 0.821 | 1.131 (0.496–2.578); 0.770 | 2.143 (0.467–9.827); 0.326 |
Localization | |||
Right vs. Left | 1.408 (0.326–6.076); 0.646 | 1.212 (0.434–3.383); 0.714 | 4.826 (0.439–53.008); 0.198 |
Cox-Regression with Consideration of A-Priori Covariates | Leukopenia | ||
OS | PFS | DCR | |
HR (95% CI); p-Value | HR (95% CI); p-Value | OR (95% CI); p-Value | |
Available Cases | n = 48 | n = 45 | n = 45 |
Yes vs. No | 0.138 (0.017–1.095); 0.061 | 0.194 (0.066–0.575); 0.003 | 4.634 (0.847–25.355); 0.077 |
Age | |||
1.010 (0.966–1.056); 0.666 | 0.971 (0.938–1.005); 0.098 | 1.007 (0.944–1.073); 0.837 | |
Sex | |||
Female vs. Male | 1.831 (0.620–5.413); 0.274 | 1.663 (0.713–3.878); 0.239 | 0.384 (0.089–1.667); 0.201 |
Ras-Gen-Status | |||
Wildtyp vs. Mutant | 1.304 (0.399–4.267); 0.661 | 1.401 (0.639–3.075); 0.401 | 2.550 (0.534–12.184); 0.241 |
Localization | |||
Right vs. Left | 1.221 (0.288–5.173); 0.787 | 0.858 (0.320–2.296); 0.760 | 7.940 (0.583–108.078); 0.120 |
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Unseld, M.; Fischöder, S.; Jachs, M.; Drimmel, M.; Siebenhüner, A.; Bianconi, D.; Kieler, M.; Puhr, H.; Minichsdorfer, C.; Winder, T.; et al. Different Toxicity Profiles Predict Third Line Treatment Efficacy in Metastatic Colorectal Cancer Patients. J. Clin. Med. 2020, 9, 1772. https://doi.org/10.3390/jcm9061772
Unseld M, Fischöder S, Jachs M, Drimmel M, Siebenhüner A, Bianconi D, Kieler M, Puhr H, Minichsdorfer C, Winder T, et al. Different Toxicity Profiles Predict Third Line Treatment Efficacy in Metastatic Colorectal Cancer Patients. Journal of Clinical Medicine. 2020; 9(6):1772. https://doi.org/10.3390/jcm9061772
Chicago/Turabian StyleUnseld, Matthias, Sebastian Fischöder, Mathias Jachs, Magdalena Drimmel, Alexander Siebenhüner, Daniela Bianconi, Markus Kieler, Hannah Puhr, Christoph Minichsdorfer, Thomas Winder, and et al. 2020. "Different Toxicity Profiles Predict Third Line Treatment Efficacy in Metastatic Colorectal Cancer Patients" Journal of Clinical Medicine 9, no. 6: 1772. https://doi.org/10.3390/jcm9061772
APA StyleUnseld, M., Fischöder, S., Jachs, M., Drimmel, M., Siebenhüner, A., Bianconi, D., Kieler, M., Puhr, H., Minichsdorfer, C., Winder, T., & Prager, G. W. (2020). Different Toxicity Profiles Predict Third Line Treatment Efficacy in Metastatic Colorectal Cancer Patients. Journal of Clinical Medicine, 9(6), 1772. https://doi.org/10.3390/jcm9061772