Regorafenib combined with immune checkpoint inhibitors versus regorafenib monotherapy as a late-line treatment for metastatic colorectal cancer: a single-center, retrospective cohort study
Highlight box
Key findings
• Compared with regorafenib monotherapy, regorafenib combined with immune checkpoint inhibitors (ICIs) provided numerically longer progression-free survival (PFS) and significantly prolonged median overall survival (OS) (13.7 vs. 10.1 months) in patients metastatic colorectal cancer (mCRC). Eastern Cooperative Oncology Group performance status (ECOG PS) was independently associated with PFS and OS, while combined therapy was independently associated with better OS.
What is known and what is new?
• Late-line treatment options for mCRC are limited. Previous studies have demonstrated the efficacy of regorafenib monotherapy as a late-line intervention, with favorable OS benefits from regorafenib compared to placebo in patients with treatment-refractory mCRC. The use of ICIs is a novel approach in solid tumors, including CRC. However, the magnitude of the survival benefit of regorafenib combined with ICIs in patients with mCRC remains to be truly defined in a randomized trial.
• We demonstrate combination therapy led to numerically longer PFS and significantly prolonged OS in patients with mCRC than did regorafenib monotherapy. There was a noticeable association of gender with treatment effectiveness. A significantly longer median OS in the combined therapy group compared to the monotherapy group was observed in males, but not in females. The study also identified ECOG PS as an independent factor associated with PFS and OS, emphasizing its relevance in treatment outcomes.
What is the implication, and what should change now?
• To address the need for personalized treatment, further investigation should consider the combined therapy approach for late-line treatment in mCRC, especially in male patients, and clarify the influence of sex on treatment outcomes.
Introduction
Colorectal cancer (CRC) is a cancer of the colon or rectum, and there were an estimated 1,880,725 new cases of CRC and 915,880 CRC-related deaths in 2020 (1,2). CRC most commonly affects older adults (≥60 years old), and more men are affected than are women (2,3). The risk factors include hereditary syndromes, diet, lifestyle factors, and concurrent diseases (2,4-6). Nearly half of the patients with CRC have distant metastatic CRC (mCRC) at diagnosis (2,7). The prognosis of patients with advanced CRC is poor, with a 5-year survival rate of 71–90% for locoregional disease and 14% for distant-stage disease (8).
When progression or recurrence occurs during or after the standard first-line treatment, there are limited choices for late-line treatment, and the prognosis of the subsequent lines of therapy is poor (3,5-7). Regorafenib is a small-molecule multikinase inhibitor that provides survival benefits in those with mCRC whose disease has progressed after all standard therapies, and a study has shown that regorafenib monotherapy as a late-line treatment for mCRC is effective compared to placebo (9). Additionally, the CONCUR trial reported overall survival (OS) benefits with regorafenib treated compared with placebo in patients with treatment-refractory mCRC in Asian population (10). Immunotherapy is a novel treatment paradigm in solid tumors (11), including CRC (12,13). However, whether regorafenib combined with programmed cell death protein 1 (PD-1) is effective for treating patients with mCRC remains unclear (14,15).
Furthermore, the impact of sex on treatment efficacy remains poorly understood. It has been suggested that the prognosis of female patients is better than that of males (16), but results suggesting the opposite have been reported (17). In China, Xu et al. (18) retrospectively examined the benefits of regorafenib in patients with mCRC and reported a disease control rate of 41%. However, there are few reports on patients with mCRC undergoing late-line regorafenib monotherapy or regorafenib-combined therapies and no data regarding the impact of sex on prognosis after these treatments.
Therefore, this single-center, retrospective cohort study analyzed the effectiveness and adverse events (AEs) of regorafenib combined with immune checkpoint inhibitors (ICIs) compared with those of regorafenib monotherapy in treating patients with advanced CRC and examined whether there were differences in treatments and outcomes between males and females. The results of this study may serve as a basis for future clinical trials of late-line treatments in patients with mCRC. We present this article in accordance with the STROBE reporting checklist (available at https://jgo.amegroups.com/article/view/10.21037/jgo-24-468/rc).
Methods
Study design and patients
This single-center retrospective cohort study included patients with advanced CRC treated in The First Affiliated Hospital of the Army Medical University from November 2018 to December 2021. This study was approved by the ethics committee of The First Affiliated Hospital of the Army Medical University [approval number: (B) KY2022153]. The requirement for informed consent was waived by the ethics committee due to the retrospective nature of the study. The study was conducted in accordance with the Declaration of Helsinki (as revised in 2013).
Patients underwent follow-up every eight weeks with computed tomography (CT) scans to assess tumor progression according to RECIST 1.1 criteria. Standardized imaging protocols were used across the cohort to ensure consistent assessment.
The inclusion criteria for patients were the following: (I) age between 18 and 80 years; (II) pathologically or histologically confirmed advanced CRC or mCRC with any recurrence and progression after standard first-line and second-line treatment; (III) received regorafenib monotherapy or regorafenib combined with ICIs as late-line treatment for more than one cycle; (IV) at least one measurable lesion according to RECIST 1.1. Exclusion criteria: incomplete data, severe uncontrolled comorbidities, or inability to comply with study protocol. Patients were excluded primarily due to incomplete data which could affect the study’s generalizability.
Treatment
The patients with mCRC were divided into the combination and monotherapy groups according to whether they received regorafenib combined with ICIs or regorafenib alone. The dosage of regorafenib was 80, 120, or 160 mg. The ICIs used in the combination group included toripalimab, sintilimab, camrelizumab, and pembrolizumab. Adjustments or interruptions in therapy were made based on the occurrence of AEs or patient intolerance, with dose reductions to the next lower dose level or temporary discontinuation until AEs resolved to grade 1 or lower.
Outcomes
Treatment evaluation was based on RECIST version 1.1. OS was considered to be the time from when regorafenib was initiated to death from any cause. Progression-free survival (PFS) was considered to be the time from when regorafenib was initiated to disease progression of the tumor or death. For the safety evaluation, the AEs included any grade symptomatic or hematological events and were evaluated according to the National Cancer Institute Common Terminology Criteria for Adverse Events 5.0.
Statistical analysis
R 4.2.0 software (The R Foundation for Statistical Computing) was used for statistical analysis. The continuous variables conforming to the normal distribution are expressed as the mean ± standard deviation and were analyzed using the Student’s t-test; otherwise, they are expressed as the median with the minimum and maximum and were analyzed with the Mann-Whitney test. The categorical data are expressed as numbers and percentages and were analyzed using the chi-squared test or Fisher exact test. OS and PFS were analyzed with the Kaplan-Meier method, and the log-rank test was used to compare groups. Multivariate Cox regression analysis was performed to adjust for potential confounding factors and to identify independent prognostic factors. Two-sided P values <0.05 were considered statistically significant.
Missing data were handled using complete case analysis. Participants with missing data for key variables were excluded from certain analyses to avoid bias. No imputation techniques were used.
Results
Baseline characteristics of the patients
Table 1 presents the baseline characteristics of the patients. The combined group included 30 patients, with a median age of 55.5 (range, 37–76) years and 57% being male. The monotherapy group included 43 patients, with a median age of 54 (range, 27–80) years and 60% being male. There were no significant differences in the other characteristics (all P values >0.05).
Table 1
Characteristic | Total sample (n=73) | Monotherapy (n=43) | Combined therapy (n=30) | P |
---|---|---|---|---|
Age (years) | 0.96 | |||
Mean (SD) | 55.6 (11.5) | 55.6 (12.6) | 55.5 (9.8) | |
Median [min, max] | 55 [27, 80] | 54 [27, 80] | 55.5 [37, 76] | |
Sex | 0.93 | |||
Male | 43 [59] | 26 [60] | 17 [57] | |
Female | 30 [41] | 17 [40] | 13 [43] | |
Smoking status | 0.37 | |||
No | 48 [66] | 26 [60] | 22 [73] | |
Yes | 25 [34] | 17 [40] | 8 [27] | |
ECOG | 1 | |||
0 | 53 [73] | 31 [72] | 22 [73] | |
1 | 20 [27] | 12 [28] | 8 [27] | |
Tumor location | 0.65 | |||
Left | 59 [81] | 36 [84] | 23 [77] | |
Right | 14 [19] | 7 [16] | 7 [23] | |
Liver metastasis | 0.87 | |||
No | 34 [47] | 19 [45] | 15 [50] | |
Yes | 38 [53] | 23 [55] | 15 [50] | |
Not evaluated | 1 | 1 | 0 | |
Lung metastasis | 0.96 | |||
No | 35 [48] | 20 [47] | 15 [50] | |
Yes | 38 [52] | 23 [53] | 15 [50] | |
Bone metastasis | 1 | |||
No | 67 [92] | 39 [91] | 28 [93] | |
Yes | 6 [8] | 4 [9] | 2 [7] | |
Peritoneal metastasis | 0.34 | |||
No | 63 [86] | 39 [91] | 24 [80] | |
Yes | 10 [14] | 4 [9] | 6 [20] | |
KRAS, NRAS, or BRAF mutation | 0.74 | |||
Mutant | 21 [40] | 14 [44] | 7 [35] | |
Wild type | 31 [60] | 18 [56] | 13 [65] | |
Not evaluated | 21 | 11 | 10 | |
Previous systemic anticancer agents | 0.36 | |||
Bevacizumab + chemotherapy | 41 [56] | 22 [51] | 19 [63] | |
Cetuximab + chemotherapy | 14 [19] | 10 [23] | 4 [13] | |
Bevacizumab + chemotherapy, or cetuximab + chemotherapy, at different treatment lines | 12 [16] | 6 [14] | 6 [20] | |
Chemotherapy | 6 [8] | 5 [12] | 1 [3] |
Data are presented as n [%] unless otherwise specified. SD, standard deviation; min, minimum; max, maximum; ECOG, Eastern Cooperative Oncology Group.
Survival
The median OS was 13.7 [95% confidence interval (CI): 10.3 to not available (NA)] months in the combined group and 10.1 (95% CI: 6.57–14.2) months in the monotherapy group, with no significant difference (P=0.10) (Figure 1A). The median PFS was 4.0 (95% CI: 2.77–10.90) and 3.6 (95% CI: 3.00–5.77) months in the combined group and the monotherapy group, respectively, with no significant difference (P=0.32) (Figure 1B).
In males, the median OS was significantly longer in the combined group compared with the monotherapy group (not reached vs. 8.03 months; P=0.02) (Figure 2A), but the median PFS showed no significant difference (7.23 vs. 3.90 months; P=0.16) (Figure 2B). In females, there was no significant difference in OS (P=0.71) or PFS (P=0.89). ECOG PS 1 [vs. 0; hazard ratio (HR) =3.13, 95% CI: 1.61–6.1; P<0.001] was independently associated with PFS, and ECOG PS 1 (vs. 0; HR =3.63, 95% CI: 1.54–8.56; P=0.003) and combined therapy (vs. monotherapy; HR =0.47, 95% CI: 0.22–0.99; P=0.048) were associated with OS (Figure 3).
Multivariate analysis
An Eastern Cooperative Oncology Group performance status (ECOG PS) of 1 (vs. 0; (HR =3.63, 95% CI: 1.54–8.56; P=0.003) and combined therapy (vs. monotherapy; HR =0.47, 95% CI: 0.22–0.99; P=0.048) were associated with OS (Table 2). This suggests that patient performance status should be a key consideration in treatment planning for mCRC. In addition, the multivariate analysis of PFS showed that only ECOG PS 1 (vs. 0; HR =3.13, 95% CI: 1.61–6.10; P<0.001) was independently associated with PFS (Table 3).
Table 2
Characteristic | Univariable | Multivariate | |||
---|---|---|---|---|---|
HR (95% CI) | P | HR (95% CI) | P | ||
Age (years) | 1.01 (0.98–1.05) | 0.38 | |||
Smoking status | 0.60 | ||||
No | Ref. | ||||
Yes | 0.82 (0.40–1.69) | ||||
Sex | 0.62 | ||||
Male | Ref. | ||||
Female | 1.18 (0.61–2.30) | ||||
ECOG | 0.01 | 0.003 | |||
0 | Ref. | Ref. | |||
1 | 2.60 (1.23–5.51) | 3.63 (1.54–8.56) | |||
Tumor location | 0.36 | ||||
Left | Ref. | ||||
Right | 1.51 (0.62–3.66) | ||||
Liver metastases | 0.61 | ||||
No | Ref. | ||||
Yes | 1.19 (0.60–2.34) | ||||
Lung metastasis | 0.98 | ||||
No | Ref. | ||||
Yes | 1.01 (0.52–1.97) | ||||
Bone metastasis | 0.23 | ||||
No | Ref. | ||||
Yes | 1.71 (0.70–4.17) | ||||
Peritoneal metastasis | 0.59 | ||||
No | Ref. | ||||
Yes | 0.75 (0.26–2.14) | ||||
Previous treatment | 0.89 | 0.62 | |||
Bevacizumab + chemotherapy | Ref. | Ref. | |||
Cetuximab + chemotherapy | 0.94 (0.37–2.36) | 0.75 (0.29–1.97) | |||
Bevacizumab + chemotherapy, or cetuximab + chemotherapy, at different treatment lines | 0.83 (0.31–2.23) | 1.32 (0.47–3.72) | |||
Chemotherapy | 1.35 (0.50–3.66) | 1.74 (0.61–4.99) | |||
Treatment | 0.11 | 0.048 | |||
Monotherapy | Ref. | Ref. | |||
Combined therapy | 0.56 (0.28–1.14) | 0.47 (0.22–0.99) |
OS, overall survival; ECOG, Eastern Cooperative Oncology Group; HR, hazard ratio; CI, confidence interval; Ref., reference.
Table 3
Characteristic | Univariable | Multivariate | |||
---|---|---|---|---|---|
HR (95% CI) | P | HR (95% CI) | P | ||
Age (years) | 1.01 (0.99–1.03) | 0.43 | |||
Smoking status | 0.59 | ||||
No | Ref. | ||||
Yes | 0.86 (0.49–1.50) | ||||
Gender | 0.25 | ||||
Male | Ref. | ||||
Female | 1.37 (0.80–2.36) | ||||
ECOG | 0.002 | <0.001 | |||
0 | Ref. | Ref. | |||
1 | 2.53 (1.38–4.63) | 3.13 (1.61–6.10) | |||
Tumor location | 0.87 | ||||
Left | Ref. | ||||
Right | 0.94 (0.47–1.88) | ||||
Liver metastases | 0.51 | ||||
No | Ref. | ||||
Yes | 1.2 (0.7–2.05) | ||||
Lung metastasis | 0.95 | ||||
No | Ref. | ||||
Yes | 0.98 (0.58–1.67) | ||||
Bone metastasis | 0.58 | ||||
No | Ref. | ||||
Yes | 0.77 (0.31–1.94) | ||||
Peritoneal metastasis | 0.44 | ||||
No | Ref. | ||||
Yes | 1.36 (0.61–3.03) | ||||
KRAS, NRAS, or BRAF mutation | 0.94 | ||||
Mutant | Ref. | ||||
Wild type | 0.98 (0.53; 1.83) | ||||
Previous treatment | 0.77 | 0.24 | |||
Bevacizumab + chemotherapy | Ref. | Ref. | |||
Cetuximab + chemotherapy | 1.12 (0.55–2.25) | 0.84 (0.4–1.76) | |||
Bevacizumab + chemotherapy, or cetuximab + chemotherapy, at different treatment lines | 1.46 (0.72–2.95) | 2.04 (0.98–4.28) | |||
Chemotherapy | 1.03 (0.43–2.50) | 1.36 (0.55–3.37) | |||
Treatment | 0.32 | 0.09 | |||
Monotherapy | Ref. | Ref. | |||
Combined therapy | 0.76 (0.44–1.31) | 0.6 (0.34–1.09) |
PFS, progression-free survival; ECOG, Eastern Cooperative Oncology Group; HR, hazard ratio; CI, confidence interval; Ref., reference.
AEs
As shown in Table 4, all patients experienced AEs, with grade ≥3 AEs observed in 46.7% of the combined group and 25.6% of the monotherapy group. The most common AEs in the combined and monotherapy groups were hand-foot syndrome (76.7% and 60.5%, respectively), rash (63.3% and 51.1%, respectively), and hypertension (56.7% and 39.5%, respectively). Dose reductions were required in 30% of combined group patients and 15% of monotherapy group patients, while therapy discontinuation due to AEs occurred in 10% and 5% of patients, respectively.
Table 4
Characteristic | Total (n=73) | Combination therapy (n=30) | Monotherapy (n=43) | |||||
---|---|---|---|---|---|---|---|---|
Any grade | Grade ≥3 | Any grade | Grade ≥3 | Any grade | Grade ≥3 | |||
Total | 73 (100.0) | 25 (34.2) | 30 (100.0) | 14 (46.7) | 43 (100.0) | 11 (25.6) | ||
Hand-foot syndrome | 49 (67.1) | 8 (11.0) | 23 (76.7) | 5 (16.7) | 26 (60.5) | 3 (7.0) | ||
Hypertension | 34 (46.6) | 7 (9.6) | 17 (56.7) | 5 (16.7) | 17 (39.5) | 2 (4.6) | ||
Rash | 41 (56.2) | 10 (13.7) | 19 (63.3) | 5 (16.7) | 22 (51.1) | 5 (11.6) | ||
Fatigue | 36 (49.3) | 0 | 16 (53.3) | 0 | 20 (46.5) | 0 | ||
Fever | 25 (34.2) | 0 | 11 (36.7) | 0 | 14 (32.5) | 0 | ||
Proteinuria | 16 (21.9) | 5 (6.8) | 7 (23.3) | 3 (10.0) | 9 (20.9) | 2 (4.6) | ||
Oral mucositis | 11 (15.1) | 1 (1.4) | 5 (16.7) | 1 (3.3) | 6 (13.9) | 0 | ||
Diarrhea | 28 (38.4) | 4 (5.5) | 13 (43.3) | 2 (6.7) | 15 (34.9) | 2 (4.6) | ||
Decreased appetite | 29 (39.7) | 0 | 12 (40.0) | 0 | 17 (39.5) | 0 | ||
Liver dysfunction | 11 (15.1) | 1 (1.4) | 5 (16.7) | 1 (3.3) | 6 (13.9) | 0 | ||
Hyperthyroidism | 6 (8.2) | 0 | 4 (13.3) | 0 | 2 (4.6) | 0 | ||
Hypothyroidism | 9 (12.3) | 0 | 5 (16.7) | 0 | 4 (9.3) | 0 |
Data are presented as n (%).
Discussion
Few data are available on mCRC treated with late-line regorafenib monotherapy or combination with other therapies. This real-world study aimed to compare regorafenib combined with ICIs with regorafenib monotherapy for the treatment of patients with mCRC. An absolute benefit of patients in relation to OS and PFS was observed in the combination group indicating effectiveness of regorafenib plus ICIs in mCRC. Main clinical results indicated regorafenib combined with ICIs led to numerically longer PFS and significantly prolonged OS in patients with mCRC compared to regorafenib monotherapy, especially in male patients.
Among all patients, there was no significant difference in PFS. Therefore, the combination of regorafenib with an ICI did not appear to provide more benefits to the patients compared with regorafenib monotherapy. Xu et al. (18) reported that despite regorafenib-ICI combined therapy achieving longer PFS than regorafenib monotherapy for mCRC, there were no marked differences between the OS of these two therapies. In the multivariate analysis of our study, combined treatment was associated with better OS but not better PFS. The PFS of the combination therapy group in our study was 4 months, which was shorter than that reported in the REGONIVO trial (7.9 months; regorafenib with nivolumab) (19) but longer than that reported in the REGOTORI trial (2.1 months; regorafenib with toripalimab) (20) and REGOMUNE trial (2.5 months; regorafenib with avelumab) (21). In a real-world study of patients with mCRC treated with regorafenib and ICIs in China, the median PFS was 3.1 months (22). Moreover, Chen et al. (23) reported a median PFS of 4.0 months in patients with mCRC treated with regorafenib and PD-1 inhibitors. However, all these studies, including our own, had small sample sizes that might have masked the benefits of regorafenib combined with ICIs.
Remarkably, analysis by subgroups suggested that among the female patients, there were no obvious differences in either PFS or OS between the combination and monotherapy groups, indicating that adding ICIs to regorafenib therapy might not provide further benefits to female patients with mCRC. On the other hand, although there were no differences in PFS among the male patients, the OS of the combination group was longer than that of the monotherapy group. Therefore, combining regorafenib with ICIs could be considered in male patients with mCRC. Regarding the differences in benefits between males and females, conflicting results have been reported, with some studies suggesting a better prognosis in females (16) and others a better prognosis in males (17). In one meta-analysis, sex was significantly associated with survival in patients with mCRC (24); however, any conclusion drawn from this comparison should be done with caution since this meta-analysis included studies published up to 2017, and immunotherapy data were only sparsely published before 2017. Nonetheless, sex should be considered in the selection of therapy for mCRC, as male sex has several covariates. For example, male sex is often associated with higher frequencies of smoking and alcohol drinking (25,26), and alcohol and tobacco affect the immune system and response to immunotherapy (27-29). Unfortunately, the sample size of our study was not sufficiently large to examine the covariates of sex. Furthermore, the male group showed discrepant results regarding OS and PFS. Interestingly, this is being increasingly observed within the context of targeted therapies and immunotherapies, which often show negligible improvements in PFS but substantial improvements in OS (30-33).
The incidence of grades ≥3 AEs in this study was lower than those reported in a previous retrospective study (18) and the CORRECT study (9). This might be explained by the retrospective design of our study and the fact that the included patients had received less previous treatment. Generally, there were slightly more adverse reactions in the combined group than in the monotherapy group, which is consistent with similar research (15,18,22,23). Among the AEs, hand-foot syndrome had the highest frequency in both groups, which is in line with the reported AE incidence in the literature (15,18,22,23).
This study had certain limitations. First, we employed a retrospective study design that was limited to the data available in the patient charts, including follow-up. Second, the sample size was relatively small.
Conclusions
In conclusion, although there was no significant difference in benefit between the combined group and the monotherapy group in the general population, an absolute benefit of patients in relation to OS and PFS was observed, with the patients in the combined group obtaining numerically longer OS and PFS than those in the monotherapy group. Besides the common AEs associated with tyrosine kinase inhibitors (TKIs), ICIs also lead to immune-related AEs. When combined, the incidence of AEs is significantly higher than in the monotherapy group. However, considering that AEs are manageable and patients can benefit more from combination therapy, this risk is acceptable. Hence, different treatment strategies should be considered for male and female patients, but additional studies are necessary to verify these results.
Acknowledgments
Funding: None.
Footnote
Reporting Checklist: The authors have completed the STROBE reporting checklist. Available at https://jgo.amegroups.com/article/view/10.21037/jgo-24-468/rc
Data Sharing Statement: Available at https://jgo.amegroups.com/article/view/10.21037/jgo-24-468/dss
Peer Review File: Available at https://jgo.amegroups.com/article/view/10.21037/jgo-24-468/prf
Conflicts of Interest: All authors have completed the ICMJE uniform disclosure form (available at https://jgo.amegroups.com/article/view/10.21037/jgo-24-468/coif). J.M.P. reports honoraria and support for attending meetings and travel from MSD, Bristol-Myers Squibb, and Merck. The other authors have no conflicts of interest to declare.
Ethical Statement: The authors are accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved. This study was approved by the ethics committee of The First Affiliated Hospital of the Army Medical University [approval number: (B) KY2022153]. The study was conducted in accordance with the Declaration of Helsinki (as revised in 2013). The requirement for informed consent was waived by the ethics committee due to the retrospective nature of the study.
Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0/.
References
- Sung H, Ferlay J, Siegel RL, et al. Global Cancer Statistics 2020: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries. CA Cancer J Clin 2021;71:209-49. [Crossref] [PubMed]
- Kuipers EJ, Grady WM, Lieberman D, et al. Colorectal cancer. Nat Rev Dis Primers 2015;1:15065. [Crossref] [PubMed]
- Glynne-Jones R, Wyrwicz L, Tiret E, et al. Rectal cancer: ESMO Clinical Practice Guidelines for diagnosis, treatment and follow-up. Ann Oncol 2017;28:iv22-40. [Crossref] [PubMed]
- Labianca R, Nordlinger B, Beretta GD, et al. Early colon cancer: ESMO Clinical Practice Guidelines for diagnosis, treatment and follow-up. Ann Oncol 2013;24:vi64-72. [Crossref] [PubMed]
- NCCN Clinical Practice Guidelines in Oncology (NCCN Guidelines). Colon Cancer. Version 3.2022. Fort Washington: National Comprehensive Cancer Network; 2023.
- NCCN Clinical Practice Guidelines in Oncology (NCCN Guidelines). Rectal Cancer. Version 4.2022. Fort Washington: National Comprehensive Cancer Network; 2023.
- Van Cutsem E, Cervantes A, Adam R, et al. ESMO consensus guidelines for the management of patients with metastatic colorectal cancer. Ann Oncol 2016;27:1386-422. [Crossref] [PubMed]
- Siegel RL, Miller KD, Wagle NS, et al. Cancer statistics, 2023. CA Cancer J Clin 2023;73:17-48. [Crossref] [PubMed]
- Grothey A, Van Cutsem E, Sobrero A, et al. Regorafenib monotherapy for previously treated metastatic colorectal cancer (CORRECT): an international, multicentre, randomised, placebo-controlled, phase 3 trial. Lancet 2013;381:303-12. [Crossref] [PubMed]
- Li J, Qin S, Xu R, et al. Regorafenib plus best supportive care versus placebo plus best supportive care in Asian patients with previously treated metastatic colorectal cancer (CONCUR): a randomised, double-blind, placebo-controlled, phase 3 trial. Lancet Oncol 2015;16:619-29. [Crossref] [PubMed]
- Guha P, Heatherton KR, O'Connell KP, et al. Assessing the Future of Solid Tumor Immunotherapy. Biomedicines 2022;10:655. [Crossref] [PubMed]
- Golshani G, Zhang Y. Advances in immunotherapy for colorectal cancer: a review. Therap Adv Gastroenterol 2020;13:1756284820917527. [Crossref] [PubMed]
- Weng J, Li S, Zhu Z, et al. Exploring immunotherapy in colorectal cancer. J Hematol Oncol 2022;15:95. [Crossref] [PubMed]
- Li J, Cong L, Liu J, et al. The Efficacy and Safety of Regorafenib in Combination With Anti-PD-1 Antibody in Refractory Microsatellite Stable Metastatic Colorectal Cancer: A Retrospective Study. Front Oncol 2020;10:594125. [Crossref] [PubMed]
- Yu W, Tao Q, Zhang Y, et al. Efficacy and Safety of Regorafenib Combined with Toripalimab in the Third-Line and beyond Treatment of Advanced Colorectal Cancer. J Oncol 2021;2021:9959946. [Crossref] [PubMed]
- Novakova-Jiresova A, Kopeckova K, Boublikova L, et al. Regorafenib for Metastatic Colorectal Cancer: An Analysis of a Registry-Based Cohort of 555 Patients. Cancer Manag Res 2020;12:5365-72. [Crossref] [PubMed]
- Kim SE, Paik HY, Yoon H, et al. Sex- and gender-specific disparities in colorectal cancer risk. World J Gastroenterol 2015;21:5167-75. [Crossref] [PubMed]
- Xu D, Liu Y, Tang W, et al. Regorafenib in Refractory Metastatic Colorectal Cancer: A Multi-Center Retrospective Study. Front Oncol 2022;12:838870. [Crossref] [PubMed]
- Fukuoka S, Hara H, Takahashi N, et al. Regorafenib Plus Nivolumab in Patients With Advanced Gastric or Colorectal Cancer: An Open-Label, Dose-Escalation, and Dose-Expansion Phase Ib Trial (REGONIVO, EPOC1603). J Clin Oncol 2020;38:2053-61. [Crossref] [PubMed]
- Wang F, He MM, Yao YC, et al. Regorafenib plus toripalimab in patients with metastatic colorectal cancer: a phase Ib/II clinical trial and gut microbiome analysis. Cell Rep Med 2021;2:100383. [Crossref] [PubMed]
- Cousin S, Cantarel C, Guegan JP, et al. Regorafenib-avelumab combination in patients with biliary tract cancer (REGOMUNE): a single-arm, open-label, phase II trial. Eur J Cancer 2022;162:161-9. [Crossref] [PubMed]
- Yang K, Han L, Wu S, et al. Real-world outcomes of regorafenib combined with immune checkpoint inhibitors in patients with advanced or metastatic microsatellite stable colorectal cancer: A multicenter study. Cancer Immunol Immunother 2022;71:1443-51. [Crossref] [PubMed]
- Chen B, Zhao H, Huang J, et al. Efficacy of regorafenib combined with PD-1 inhibitors in elderly patients with advanced metastatic colorectal cancer. BMC Geriatr 2022;22:987. [Crossref] [PubMed]
- Yang Y, Wang G, He J, et al. Gender differences in colorectal cancer survival: A meta-analysis. Int J Cancer 2017;141:1942-9. [Crossref] [PubMed]
- Buu A, Dabrowska A, Mygrants M, et al. Gender differences in the developmental risk of onset of alcohol, nicotine, and marijuana use and the effects of nicotine and marijuana use on alcohol outcomes. J Stud Alcohol Drugs 2014;75:850-8. [Crossref] [PubMed]
- Hydes TJ, Burton R, Inskip H, et al. A comparison of gender-linked population cancer risks between alcohol and tobacco: how many cigarettes are there in a bottle of wine? BMC Public Health 2019;19:316. [Crossref] [PubMed]
- Meadows GG, Zhang H. Effects of Alcohol on Tumor Growth, Metastasis, Immune Response, and Host Survival. Alcohol Res 2015;37:311-22. [PubMed]
- Deshpande RP, Sharma S, Watabe K. The Confounders of Cancer Immunotherapy: Roles of Lifestyle, Metabolic Disorders and Sociological Factors. Cancers (Basel) 2020;12:2983. [Crossref] [PubMed]
- Dai L, Jin B, Liu T, et al. The effect of smoking status on efficacy of immune checkpoint inhibitors in metastatic non-small cell lung cancer: A systematic review and meta-analysis. EClinicalMedicine 2021;38:100990. [Crossref] [PubMed]
- Shukuya T, Mori K, Amann JM, et al. Relationship between overall survival and response or progression-free survival in advanced non-small cell lung cancer patients treated with anti-PD-1/PD-L1 antibodies. J Thorac Oncol 2016;11:1927-39. [Crossref] [PubMed]
- Harris SJ, Brown J, Lopez J, et al. Immuno-oncology combinations: raising the tail of the survival curve. Cancer Biol Med 2016;13:171-93. [Crossref] [PubMed]
- Muenst S, Soysal SD, Tzankov A, et al. The PD-1/PD-L1 pathway: biological background and clinical relevance of an emerging treatment target in immunotherapy. Expert Opin Ther Targets 2015;19:201-11. [Crossref] [PubMed]
- Zer A, Prince RM, Amir E, et al. Evolution of Randomized Trials in Advanced/Metastatic Soft Tissue Sarcoma: End Point Selection, Surrogacy, and Quality of Reporting. J Clin Oncol 2016;34:1469-75. [Crossref] [PubMed]