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PLOS One logoLink to PLOS One
. 2026 Jul 31;21(7):e0353357. doi: 10.1371/journal.pone.0353357

Real-world regorafenib use among patients with advanced gastrointestinal stromal tumor in the United States

Ryan A Denu 1,*, Sreevalsa Appukkuttan 2, Brian Hocum 2, Nick Liao 2, Arvind Katta 2, Jihaeng Heo 2, Bridgette Schroader 3, Risho Singh 3, Svetlana Babajanyan 2, Neeta Somaiah 1
Editor: Anette Duensing4
PMCID: PMC13426992  PMID: 42536685

Abstract

Background

Gastrointestinal stromal tumors (GIST) are the most common gastrointestinal soft tissue sarcoma. Tyrosine kinase inhibitors are guideline-recommended therapy; however, resistance often occurs, requiring subsequent therapy. Regorafenib is a multikinase inhibitor approved for third-line therapy. Real-world data surrounding regorafenib’s use and place in therapy are limited.

Objective

To understand real-world regorafenib utilization and patient characteristics among US patients with advanced GIST.

Methods

This retrospective cohort claims analysis used data from Merative™ MarketScan® research databases and included patients with ≥1 pharmacy claim for regorafenib during the identification period (10/2015–5/2023) and ≥1 GIST diagnoses any time prior to/on index date (first regorafenib prescription claim). Primary outcomes included duration of therapy (DOT) and time to next therapy (TTNT). Outcomes were stratified based on prior GIST treatment during the baseline period (BL) and initial regorafenib dose (i.e., low dose [LD] or regorafenib standard dose [RSD]) as of the index date.

Results

Nearly half (45.2%) of patients received imatinib and sunitinib prior to regorafenib initiation, and 73.5% received RSD. Patients who received prior imatinib or sunitinib alone before regorafenib had a numerically longer median DOT with regorafenib than those who received both in the BL before regorafenib (142.5 days [IQR: 87–257.5] vs 95 days [IQR: 53–192]). Patients receiving LD and RSD demonstrated similar median DOT (103.0 days [IQR: 41.5, 210.5] vs 94.5 days [IQR: (35.0, 171.0]) and TTNT (143 days [IQR: 70–293] vs 141 days [IQR: 77–191]).

Conclusions

Patients on LD and RSD had similar DOT and TTNT. Acknowledging the limitations from this real-world data, patients with prior imatinib or sunitinib alone appeared to have longer DOT on regorafenib than those who received both. Further research is warranted to explore the clinical benefits of these differences.

Introduction

Gastrointestinal stromal tumors (GIST) are the most common gastrointestinal (GI) soft tissue sarcoma [1–3]. The incidence of GIST is approximately 4,000–6,000 cases per year in the United States (US) [4] and 10–15 cases per million worldwide [1,5]. Most tumors occur in the stomach and small intestine, and advanced-stage disease is found at diagnosis in 47% of cases, with metastases to the liver and peritoneum being the most common sites [6]. Although GIST can be surgically resected when identified early, approximately 40% of cases recur and/or metastasize, which may require multiple lines of systemic treatment [7].

The main oncogenic drivers for a majority of GISTs are mutated receptor tyrosine kinases. Thus, targeted therapy with tyrosine kinase inhibitors (TKIs) is the current standard of care in the treatment of advanced or metastatic GIST [8–11]. While these agents target a wide range of mutations for cancer treatment [12], in GIST patients, TKIs most commonly target KIT or PDGFRA gain-of-function mutations found in over 80% of GISTs [10,13]. Imatinib was the first TKI approved for GIST and remains the recommended first-line therapy for the treatment of unresectable, progressive, or metastatic GIST [9,11]. Although 85% to 90% of patients treated with imatinib obtain disease control [14], primary resistance is seen in 10% to 15% of patients [15] and 40% to 50% develop secondary resistance due to newly acquired mutations in KIT or PDGFRA [14–18], requiring second-line TKIs, such as sunitinib, and subsequent lines of therapy.

Regorafenib, a multikinase inhibitor, is indicated for previously-treated, locally advanced, unresectable or metastatic GIST [19]. Regorafenib is guideline-recommended as the preferred third-line therapy for patients with advanced or metastatic GIST that has progressed on imatinib and sunitinib [9]. Despite guideline recommendations as an established third-line therapy, anecdotal reports suggest regorafenib may be used in earlier lines of therapy in the real world [20].

However, regorafenib’s current use and potential place in therapy remain to be explored, as there is sparse data regarding its real-world utilization to treat GIST in US patients [21,22]. Reasons for the paucity of data could be the small patient pool indicated for regorafenib use following the failure of first- and second-line therapies and the lack of an International Classification of Diseases, 9th Revision, Clinical Modification (ICD-9-CM) diagnosis code specific to GIST prior to the implementation of ICD-10 in 2015 [23]. The lack of available utilization data limits the ability to determine practice patterns. To contribute to a better understanding of the real-world use of regorafenib in GIST, this study aimed to capture demographic and clinical characteristics as well as treatment utilization amongst patients with advanced or metastatic GIST treated with regorafenib in the US.

Materials and methods

Data source

This study was a retrospective cohort analysis of data from the Merative™ MarketScan® Research Databases (MarketScan), specifically the Commercial Claims & Encounters and Medicare Supplemental & Coordination of Benefits databases. MarketScan is a large, national, deidentified claims database which tracks longitudinal inpatient and outpatient care and pharmacy claims, including commercial and Medicare insurance claims. The Medicare Supplemental & Coordination of Benefits database includes a subset of the Medicare population that are Medicare-eligible retirees with employer-sponsored Medicare Supplemental and Medicare Advantage plans. Data in this study were deidentified and fully anonymized in accordance with the Health Insurance Portability and Accountability Act prior to being accessed on March 27, 2024; therefore, neither institutional review board approval nor patient consent was required.

Study design and cohort

The study period was from the beginning of database availability (April 1, 2002) through June 3, 2023 (Fig 1). Patients were included in the analysis if they had ≥ 1 pharmacy claim for regorafenib during the identification period from October 1, 2015, through May 31, 2023. The first prescription claim date for regorafenib during the identification period was designated as the index date. Patients were also required to have ≥1 medical claim with GIST diagnosis codes, defined by ICD-10-CM diagnosis codes, any time prior to or on the index date. The 12-month before index date period was defined as a variable period of ≥12 months prior to, and up to, the index date. Additionally, patients needed to have continuous health plan enrollment ≥12 months prior to the index date (exclusive), and ≥28 days after the index date (inclusive). Patients were excluded if they were <18 years of age as of the index date. The follow-up period was defined as the time between the index date through the earliest of disenrollment or end of data availability, which varied in length by patient.

Fig 1. Study design.

Fig 1

Key: GIST – gastrointestinal stromal tumor; HCRU – healthcare resource utilization.

Study variables and outcomes

Demographics, clinical characteristics, medication use, and history of malignancy data were collected for patients included in the study. Demographic variables, including age, sex, US geographic region, payer type, and health plan type, were measured on the index date. To understand the characteristics of patients being prescribed regorafenib, clinical characteristics were measured during the 12-month before index date period, which included the Quan-Charlson Comorbidity Index (CCI) score [24,25], surgery, genetic testing, and metastases. Medications and history of malignancy prior to GIST diagnosis were collected throughout the entire 12-month before index date period.

Primary outcomes were duration of therapy (DOT) and time to next therapy (TTNT). DOT was defined as the length of time from the date of the first claim for regorafenib to either the date of a claim for a new GIST therapy or discontinuation of regorafenib, whichever came earlier. Discontinuation was defined as ≥60-day gap in claims data. TTNT was defined as the interval between the index date and the date of initiation of the next GIST therapy. Secondary outcomes were measured during the study period and included follow-up medication use and surgery. Outcomes were stratified by subgroups during the 12-month before index date period based on prior treatment for GIST with commonly prescribed therapies in the real world to ascertain regorafenib’s place in therapy. Subgroups of interest included imatinib only or sunitinib only prior to regorafenib, pazopanib only prior to regorafenib, imatinib and sunitinib prior to regorafenib, ripretinib only prior to regorafenib, or avapritinib only prior to regorafenib. Note, because GIST is associated with a long history, these prior therapies may not represent all therapy exposures throughout a patient’s disease course. Groups were also stratified by initial regorafenib dose into low dose (LD) regorafenib or standard dose regorafenib cohorts (RSD) as of the index date. LD was defined as <160 mg per day over 21 days in a 28-day cycle and RSD was defined as an average daily dose of 160 mg per day for 21 days in a 28-day cycle.

Data analysis

Descriptive statistics were used to analyze all study outcomes (i.e., mean, median, etc). No direct comparisons were made between subgroups using statistical tests. Mean values were presented with standard deviation (SD) and median values were presented with interquartile range (IQR). In addition to descriptive analyses, time-to-event analyses were performed using Kaplan-Meier curves to depict DOT and TTNT. The event analyzed for DOT was defined as the date of a claim for a new GIST therapy or regorafenib discontinuation. Patients who experienced disenrollment or entered the end of the observation period while on regorafenib were censored. For TTNT, the date of initiation of the next GIST therapy was the analyzed event and patients without subsequent therapy were censored. Log-rank tests were performed to compare Kaplan-Meier curves amongst study groups. All analyses were conducted using the software package SAS version 9.4 (SAS Institute Inc., Cary, NC, USA).

Sensitivity analysis

A sensitivity analysis was performed using a more comprehensive approach to patient selection to account for the potential of missed or delayed documentation of a GIST ICD code. The analysis reported the number of patients who received regorafenib during the study identification period irrespective of when they were diagnosed with GIST (i.e., their GIST diagnosis could have been documented after the index date).

Results

Among 70,930,810 patients enrolled in the MarketScan database at any time during the identification period (10/1/2015–5/31/2023), 166 patients met the inclusion criteria of a pre-index GIST diagnosis and receipt of regorafenib (Fig 2). The mean age was 57.6 years (SD: 15.2), 57.2% were male, and 73.5% had commercial insurance. When categorized by prior treatment for GIST, 20 (12.0%) patients had received prior imatinib (n = 8) or sunitinib only (n = 12), 75 (45.2%) had received imatinib and sunitinib, 15 (9.0%) had received prior pazopanib only, and 3 (1.8%) had received ripretinib only. When categorized by regorafenib dose, 44 (26.5%) patients received LD and 122 (73.5%) received RSD. Additional baseline characteristics for the overall population and each of the subgroups are presented in Table 1.

Fig 2. Patient selection.

Fig 2

Key: GIST – gastrointestinal stromal tumor.

Table 1. Baseline characteristics.

Characteristics All patients

N = 166
Imatinib only/

Sunitinib only prior to regorafenib

n = 20
Pazopanib only prior to regorafenib

n = 15
Imatinib+ Sunitinib prior to regorafenib

n = 75
Low dose regorafenib

n = 44
Standard dose regorafenib

n = 122
Measured as of index date
Mean age, years (SD) 57.6 (15.2) 60.9 (14.0) 48.0 (13.9) 63.2 (11.8) 62.4 (15.3) 55.9 (14.9)
Male, n (%) 95 (57.2) 13 (65.0) 6 (40.0) 46 (61.3) 28 (63.6) 67 (54.9)
Region, n (%)
 North-central 40 (24.1) 2 (10.0) 4 (26.7) 20 (26.7) 14 (31.8) 26 (21.3)
 Northeast 32 (19.3) 7 (35.0) 4 (26.7) 12 (16.0) 6 (13.6) 26 (21.3)
 South 71 (42.8) 6 (30.0) 6 (40.0) 34 (45.3) 16 (36.4) 55 (45.1)
 West 23 (13.9) 5 (25.0) 1 (6.7) 9 (12.0) 8 (18.2) 15 (12.3)
Payer type, n (%)
 Medical (basic or major) 113 (68.1) 12 (60.0) 15 (100.0) 44 (58.7) 23 (52.3) 90 (73.8)
 Comprehensive 9 (5.4) 2 (10.0) 0 (0.0) 4 (5.3) 3 (6.8) 6 (4.9)
 EPO 34 (20.5) 4 (20.0) 0 (0.0) 22 (29.3) 13 (29.5) 21 (17.2)
 HMO 10 (6.0) 2 (10.0) 0 (0.0) 5 (6.7) 5 (11.4) 5 (4.1)
Insurance type, n (%)
 Commercial 122 (73.5) 14 (70.0) 15 (100.0) 48 (64.0) 26 (59.1) 96 (78.7)
 Medicare 44 (26.5) 6 (30.0) 0 (0.0) 27 (36.0) 18 (40.9) 26 (21.3)
Index year
 2015 12 (7.2) 2 (10.0) 2 (13.3) 9 (12.0) 3 (6.8) 9 (7.4)
 2016 11 (6.6) 2 (10.0) 2 (13.3) 6 (8.0) 2 (4.5) 9 (7.4)
 2017 17 (10.2) 2 (10.0) 0 (0.0) 13 (17.3) 3 (6.8) 14 (11.5)
 2018 18 (10.8) 3 (15.0) 1 (6.7) 9 (12.0) 2 (4.5) 16 (13.1)
 2019 30 (18.1) 4 (20.0) 2 (13.3) 11 (14.7) 5 (11.4) 25 (20.5)
 2020 24 (14.5) 2 (10.0) 3 (20.0) 8 (10.7) 10 (22.7) 14 (11.5)
 2021 24 (14.5) 3 (15.0) 4 (26.7) 6 (8.0) 7 (15.9) 17 (13.9)
 2022 19 (11.4) 2 (10.0) 0 (0.0) 9 (12.0) 9 (20.5) 10 (8.2)
 2023 11 (6.6) 0 (0.0) 1 (6.7) 4 (5.3) 3 (6.8) 8 (6.6)
Time before index date, months (median; IQR) 81.0 (58.7; 26.6, 128.0) 75.9 (28.3; 16.3, 155.5) 95.6 (92.2; 47.4, 134.3) 87.4 (59.6; 34.1, 131.0) 79.5 (56.7; 26.4, 131.2) 81.6 (58.8; 26.6, 126.3)
Measured during 12-month before index date period
Mean CCIa (SD) 8.6 (2.6) 7.5 (3.1) 9.3 (1.7) 8.3 (2.9) 8.8 (2.3) 8.5 (2.7)
CCIa categories
 0-8 71 (42.8) 11 (55.0) 7 (46.7) 35 (46.7) 18 (40.9) 53 (43.4)
 9-10 63 (38.0) 7 (35.0) 5 (33.3) 25 (33.3) 14 (31.8) 49 (40.2)
  ≥ 11 31 (18.7) 2 (10.0) 3 (20.0) 15 (20.0) 11 (25.0) 20 (16.4)
Reported presence of metastases, n (%) 148 (89.2) 15 (75.0) 15 (100.0) 65 (86.7) 41 (93.2) 107 (87.7)
Measured at any point before index date period
Baseline medications, n (%)
 Imatinib 83 (50.0) 8 (40.0) 2 (13.3) 75 (100.0) 18 (40.9) 65 (53.3)
 Pazopanib 15 (9.0) 2 (10.0) 15 (100.0) 2 (2.7) 3 (6.8) 12 (9.8)
 Sorafenib 6 (3.6) 2 (10.0) 1 (6.7) 1 (1.3) 2 (4.5) 4 (3.3)
 Sunitinib 87 (52.4) 12 (60.0) 4 (26.7) 75 (100.0) 21 (47.7) 66 (54.1)
 Otherb 8 (4.8) 1 (5.0) 1 (6.7) 5 (6.7) 1 (2.3) 7 (5.7)

Note: Baseline demographics for subgroups with n < 10 are not presented as statistics from such low patient count subgroups are not expected to be reliable.

aThe CCI is a weighted index utilizing the presence of comorbid conditions to predict the risk of death within 10 years. Lower scores indicate fewer serious comorbidities. Categories were chosen to represent common cutoffs that would impact treatment decisions.

bOther medications included dasatinib, everolimus, larotrectinib, nilotinib, and ripretinib.

Key: CCI – Charlson comorbidity index; EPO – employer provider organization; GIST – gastro-intestinal stromal tumor; HMO – health maintenance organization; SD – standard deviation.

After a median follow-up of 221.5 days (IQR:109.0, 416.0), the median regorafenib DOT was 95.0 days (IQR: 36.0, 177.0). Thirty-four patients (20.5%) switched therapy, with a median TTNT of 142.0 days (IQR: 77.0, 191.0). Patients with prior imatinib or sunitinib alone (n = 20) had a numerically longer median DOT than those who received both (n = 75) in the 12-month before index date period (142.5 days [IQR: 87.0, 257.5] vs 95.0 days [IQR: 53.0, 192.0]) (Fig 3). No meaningful differences were observed in median DOT between patients on LD regorafenib (n = 44)and those on RSD (n = 122) (103.0 days [IQR: 41.5, 210.5] vs 94.5 days [IQR: (35.0, 171.0]). Additionally, both groups had similar median TTNT (143.0 days [IQR: 70.0, 293.0] vs 141.0 days [IQR: 77.0, 191.0]) (Fig 4).

Fig 3. Kaplan-Meier plot of DOT by prior treatment.

Fig 3

a P-value was calculated via one-sided log-rank test. Key: DOT – duration of therapy.

Fig 4. Kaplan-Meier plot of TTNT: regorafenib LD vs RSD.

Fig 4

a P-value was calculated via one-sided log-rank test. Key: LD – low dose; RSD – regorafenib standard dose; TTNT – time to next treatment.

Medications prescribed during the follow-up period were ripretinib (12.7%), imatinib (10.8%), sunitinib (6.0%), cabozantinib (3.0%), nilotinib (2.4%), dasatinib, sorafenib, pazopanib (1.8% each), and everolimus (1.2%).

Sensitivity analysis

A total of 190 patients were included in the sensitivity analysis. The baseline characteristics were similar to those observed in the main analysis. The median regorafenib DOT was 103.5 (IQR: 37.0, 186) and 38 patients (20.0%) switched therapy, with a median TTNT of 154.0 days (IQR: 81.0, 234.0). Patients with prior imatinib or sunitinib alone (n = 26) in the 12-month before index date period had a numerically longer median regorafenib DOT than those who received both imatinib and sunitinib (n = 80) during the 12-month before index date period (149.0 days [IQR: 100.0, 281.0] vs 110.5 days [IQR: 58.5, 201.5]). Note, the 12-month before index date period was a variable period that included at least 12 months prior to and up to the index date. Patients on LD regorafenib (n = 50) had similar median DOT to those on RSD (n = 140) (103.0 days vs 103.5 days). Median TTNT was 152.5 days (IQR: 82.0, 320.5) for the LD cohort and 157.0 days (IQR: 81.0, 219.0) for the RSD cohort.

Discussion

In this retrospective cohort analysis, patients who received regorafenib after imatinib or sunitinib demonstrated a numerically longer DOT than those who received regorafenib after both imatinib and sunitinib. While numerically different, no clinically meaningful differences were observed in DOT or TTNT between patients on LD regorafenib and those on RSD. The sensitivity analysis was consistent with our main results for prior therapy subgroup DOT but had slightly different LD vs RSD results, with similar median DOT for those receiving LD and RSD regorafenib and a shorter TTNT in those receiving LD regorafenib. Overall, differences in DOT reflect prescribing patterns, patient selection, and administrative factors but may not accurately reflect treatment effectiveness, as it is heavily confounded by physician and patient preference, toxicity management strategies, patient access, and planned treatment breaks.

To our knowledge, this is the first study that analyzes the real-world utilization of regorafenib in lines of therapy earlier than approved for treatment of advanced or metastatic GIST in the US. In this analysis, prior to regorafenib initiation, 45.2% of patients received imatinib and sunitinib and 12% received imatinib or sunitinib only, showing that regorafenib is perhaps being used as an earlier line of therapy in certain situations despite its approved indication and guideline recommendation as third-line therapy. One caveat to this study is the lack of captured use of treatments through clinical trials or patient assistance programs, which are inherent limitations in claims-based studies and limit applicability of results.

The earlier use of regorafenib may be due to physician preference or patient- or market-specific drivers, such as mutation profiles [26], or potential inaccessibility of sunitinib for some patients, as it is now off patent and does not have any available financial assistance programs [27]. These drivers are not captured in claims data but are important to understand. DOT was numerically longer in patients who received regorafenib after imatinib or sunitinib only compared to those who received both imatinib and sunitinib; there are multiple potential drivers of longer DOT with earlier use of regorafenib such as specific GIST molecular profiles and improved patient tolerance prior to multiple lines of therapy. Similarly, there may be drivers of shorter DOT in those who received regorafenib after two therapies such as a more aggressive or unresponsive disease profile.

Further, analysis of regorafenib initial dose showed that 73.5% received RSD while 26.5% received LD, which demonstrated an additional discrepancy between real-world and guideline-recommended use of regorafenib. Median DOT and TTNT were similar between patients who received LD vs those who received RSD. While limited by several factors noted below, these results help portray the real-world treatment patterns and characteristics of a patient population with advanced metastatic GIST.

Prior to our study, two real-world evidence analyses were performed in the US to investigate regorafenib utilization in clinical practice. According to an observational retrospective study conducted by Call et al [21], regorafenib was used off-label in earlier lines of therapy, however, outcomes assessing clinical efficacy of second-line use (i.e., overall survival, progression free survival, etc.) were not analyzed due to small sample size. Among patients with advanced GIST who received single agent regorafenib (n = 111), regorafenib was used second-line in 1.8% (n = 2) of patients, third-line in 50.5% (n = 56), and fourth-line in 21.6% (n = 24) [21]. It is important to note that since regorafenib was approved for third-line therapy for GIST in 2013 [28], these rates are likely to be lower than more recent real-world regorafenib utilization rates in each line of therapy. In another retrospective analysis conducted by Schvartsman et al [22], among a small group of patients (n = 28) at a single institution, the majority of clinicians started patients on regorafenib 120 mg continuous regimen rather than intermittent RSD, with 79% of patients receiving 120 mg. While our study was unable to ascertain if any patients were utilizing continuous dosing regimens due to the claims data source, these real-world reports highlight that there are multiple alternative regorafenib dosing regimens being utilized in real-world settings for patients with advanced or metastatic GIST and further underscore the importance of reporting real-world data to assess utilization of regorafenib in this patient population.

Limitations

Inherent limitations of real-world studies which utilize large claims databases include miscoding, data errors, and missing data. There is limited generalizability of our results due to limitations of claims data and number of patients. Only commercially insured or Medicare patients were evaluated, thus, information on populations such as those who were uninsured, self-insured, or insured under Veterans Affairs or Medicaid were missing. Further, excluding patients who lacked continuous coverage 12 or more months or had a different commercial insurance plan before regorafenib initiation may have led to the non-capture of all prior therapies. Additionally, this analysis only included ICD-10-CM GIST-specific codes, as there were previously no ICD-9-CM codes specific to GIST diagnosis. Procedure codes for genetic testing were available, but no testing results were available in the claims data therefore they could not be included in the study.

Due to the long natural history of the disease, the actual time of first diagnosis of GIST and all therapies may not have been captured, which may have led to underrepresentation of treatment utilization; therefore, the 12 patients who received prior sunitinib alone and 15 patients who received prior pazopanib alone could be due to prior therapies being utilized that were not captured due to the study time frame or therapies being utilized that were not captured in the claims data. For example, the finding that 12 of the patients who had received prior sunitinib alone may represent patients who received imatinib in the adjuvant setting, which would likely not have been captured in this analysis. Additionally, treatments received in clinical trials or through patient assistance programs were not captured in the claims data. The dosing cohorts were defined based on pills dispensed without access to information on whether the patients took the pills. Pill counts were based on physician prescribing patterns and may not have always reflected the actual starting dose.

Conclusions

While acknowledging the limitations of a claims-based analysis, this real-world study reveals that the utilization patterns of regorafenib may not always align with guideline recommendations, potentially reflecting use in earlier lines of therapy for a small subset and different dosing. Patients on LD regorafenib had DOT and TTNT similar to those on RSD. Regorafenib initiated after imatinib or sunitinib alone compared to after both agents showed a numerically longer DOT. However, additional studies will be needed to clarify benefits in earlier therapy lines and, as newer treatments emerge, to understand responses across molecular profiles so that the most effective drugs can be sequenced earlier to match each patient’s profile. Despite the noted limitations, this is, to our knowledge, the first study that captures the real-world utilization of regorafenib in advanced or metastatic GIST in a US population. Findings from this study help portray the real-world treatment patterns and characteristics of a patient population with advanced or metastatic disease.

Data Availability

Data were obtained from Merative MarketScan Research Databases. These data are available to purchase by Federal, non-profit, academic, pharmaceutical, and other researchers. Use of the data is contingent on completing a data use agreement and purchasing the data needed to support the study. More information about licensing the Merative MarketScan Research Databases is available at https://www.merative.com/real-world-evidence. Restrictions apply to the availability of these data, which were used under license for this study, and we are not able to share directly.

Funding Statement

This work was funded by Bayer HealthCare Pharmaceuticals, Inc. Notwithstanding those employed by Bayer, authors were not paid to participate. The funders, other than the named authors, did not play a role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

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Decision Letter 0

Anette Duensing

16 Feb 2026

-->PONE-D-25-61423-->-->Real-world regorafenib use among patients with advanced gastrointestinal stromal tumor in the United States-->-->PLOS One

Dear Dr. Denu,

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Reviewer #1: Yes

Reviewer #2: No

**********

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Reviewer #1: Yes

Reviewer #2: No

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Reviewer #1: Yes

Reviewer #2: Yes

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Reviewer #1: This manuscript addresses an important but narrow real-world question: how regorafenib is being used in US patients with GIST outside of clinical trials, particularly regarding line of therapy and dosing. The topic is relevant, and the use of a large claims database is appropriate for utilization questions. However, the clinical inferences exceed what the data can support, and there are methodologic, interpretive, and presentation issues that substantially limit impact in its current form.

The manuscript would benefit from tightening its objectives, clarifying what can and cannot be concluded, and reducing causal language. As written, it risks overstating practice-changing implications from descriptive claims data.

Claims-based DOT and TTNT are weak surrogates for clinical benefit and should not be framed as efficacy proxies.

Recommendation:

Reframe the study explicitly as a treatment utilization and sequencing analysis, not an outcomes study. Avoid language implying benefit, tolerance, or superiority.

Overinterpretation of DOT and TTNT: DOT and TTNT are heavily confounded by:

o Physician preference

o Toxicity management strategies

o Access and insurance

o Planned treatment breaks

Statements suggesting longer DOT reflects better tolerance or response are speculative and unsupported.

Recommendation: Replace with neutral phrasing:

“Differences in DOT may reflect prescribing patterns, patient selection, or administrative factors rather than treatment effectiveness.”

Line of therapy classification is fundamentally incomplete and not reflect access to drugs through patient assistance programs.

This limitation should be moved from a minor limitation to a central interpretive caveat and reiterated in the Discussion conclusions.

The following statements are overreaching:

Despite guideline recommendations as an established third-line therapy, regorafenib may be used in earlier lines in the real world, perhaps for its ability to target a wide range of cancer pathways.- there is no data to substantiate this claim for the real world- and this may be misleading.

Discussion statement- The earlier use of regorafenib may be due to physician preference or patient- or market-specific drivers, such as mutation profiles, including KIT activation loop mutations (exon 17 or 18) or SDH deficient GIST which are more responsive to regorafenib and resistant to sunitinib- is completely unfounded with no data.

Does this comment truly represent the time period of the data or is this relevant to today?- potential inaccessibility of sunitinib for some patients, as it is now off patent and does not have any available financial assistance programs.

Reviewer #2: Line 88-89: "This lack of available data highlights a potential practice gap". This sentence is unclear. Perhaps the authors meant to say "The lack of available data limits our ability to determine practice patterns," or similar?

Line 107: Note "error" RE reference. Several other instances in manuscript.

Line 128: CCI score; to simplify for the reader, could you add what the categories mean by including something like: "Briefly, lower CCI score indicates fewer serious comorbidities..." and consider specifying why you split into cohorts of score 2-3 vs score 4+ (from table 1).

Line 138-139: Table 1 subgroups and stratification should line up with the categories listed here. Rather than putting "ie" I suggest detailing exactly what your subgroups are. Keep this consistent with text and figures. In the table for example, "pazopanib" is a header and it is not clear if this means pazopanib only vs any exposure to pazopanib. Further, since ripretinib was FDA approved during the study period (and since it is also an activation loop inhibitor, I suggest adding it as a subgroup. I also noted that sorafenib is listed in table 1, but here, avapritinib is listed. Finally, a big concern about these data is that many of the patients included in the study may have accessed TKI with patient assistance programs or as participants on clinical trials. I assume these data cannot capture this. Perhaps one sensitivity analysis could exclude any patients with a >3 month gap in therapies since we know that most patients with GIST are continuously on TKI therapy. This would hopefully remove any patients who were exposed to unknown TKI therapies.

Line 142: "Groups were also stratified by initial regorafenib dose..." Some clinicians start TKI at a lower dose and escalate as tolerated, and the initial RX may reflect this strategy. Would it be possible to analyze the dose that the patient received most during their time on treatment (acknowledging that some may be at a lower dose due to toxicity).

Line 172: how were the remaining cases categorized (the ones included do not add up to 100%)?

Table 1: typo in header "measured at any point in before index date period". Remove "in"?

Line 187: include “n” for each cohort in body of text (prior IM or SU vs IM+SU)

Line 190: Sentence fragment, please revise. Also include “n” for each cohort (LD vs RSD).

Line 205-206: Without clinical context, I do not think including that 3 patients underwent surgery adds any information. Consider removing.

Line 211-216: include “n” for each cohort (prior IM or SU vs IM+SU; LD vs RSD).

Line 217: Remove “slightly shorter”. These numbers are essentially the same so I suggest leaving out that description. You can just report the median TTNT for each cohort.

Line 221-226: The opening sentence is correct- although I still question whether it is clinically meaningful- but the second sentence RE LD vs RSD is overstated in my opinion. 103 vs 94.5 days are so similar and to highlight that patients on LD have longer DOT seems misleading.

Line 239-242: I suggest commenting on whether result is statistically significant and clinically meaningful to warrant additional evaluation. Further, therapies used in earlier lines often have better clinical outcomes than when used in later lines, yet they may not be better than the approved earlier-line therapies.

Line 245-246: Again, I suggest softening language here and mentioning that difference is similar and not clinically meaningful (1.5 weeks different).

Line 248: I did not see underrepresented status indicated in Table 1. Please define what is meant here.

Line 278-288: You may also mention that treatments received on clinical trials are not captured in these data.

Line 290-291: I think given the limitations of this data type, it is challenging to make any conclusions about utilization patterns.

Line 292-294: As mentioned many times, 1.5 weeks difference should not be highlighted as a true difference. Please revise.

Line 294-295: I’d suggest including more nuance if there is really a case for additional studies. Do you suggest a randomized trial evaluating regorafenib vs sunitinib, or bezuclastinib/sunitinib in 2nd line? Or regorafenib vs ripretinib for activation loop secondary mutations? This does not seem feasible and I’m not sure what additional studies should be done here.

Line 295-297: be sure to include US population; studies exist in other countries.

Line 297-298: I disagree with the conclusion that this adds nuance to the understanding of regorafenib treatment patterns and clinical outcomes. I am also not sure what “insufficiently characterized patient population” means.

**********

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Reviewer #1: No

Reviewer #2: No

**********

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PLoS One. 2026 Jul 31;21(7):e0353357. doi: 10.1371/journal.pone.0353357.r002

Author response to Decision Letter 1


30 Mar 2026

Reviewer #1

Clinical inferences exceed what the data can support, and there are methodologic, interpretive, and presentation issues that substantially limit impact in its current form.

The manuscript would benefit from tightening its objectives, clarifying what can and cannot be concluded, and reducing causal language. As written, it risks overstating practice-changing implications from descriptive claims data.

Claims-based DOT and TTNT are weak surrogates for clinical benefit and should not be framed as efficacy proxies.

Thank you for your comments. By addressing the edits and comments from both reviewers, we believe we have addressed this comment.

Reframe the study explicitly as a treatment utilization and sequencing analysis, not an outcomes study. Avoid language implying benefit, tolerance, or superiority.

Overinterpretation of DOT and TTNT: DOT and TTNT are heavily confounded by:

o Physician preference

o Toxicity management strategies

o Access and insurance

o Planned treatment breaks

Statements suggesting longer DOT reflects better tolerance or response are speculative and unsupported.

Replace with neutral phrasing:

“Differences in DOT may reflect prescribing patterns, patient selection, or administrative factors rather than treatment effectiveness.

We have updated the manuscript to include these limitations within the discussion section, limitations section, and conclusions section.

Line of therapy classification is fundamentally incomplete and not reflect access to drugs through patient assistance programs.

This limitation should be moved from a minor limitation to a central interpretive caveat and reiterated in the Discussion conclusions.

We have added the following sentence to the first paragraph in the discussion:

One caveat to this study is the lack of captured use of treatments through clinical trials or patient assistance programs, which are inherent limitations in claims-based studies and limit applicability of results.

We have added the following sentence in the limitations: Additionally, treatments received in clinical trials or through patient assistance programs were not captured in the claims data.

Updated relevant conclusion sentences as follows:

While acknowledging the limitations of a claims-based analysis, this real-world study reveals that the utilization patterns of regorafenib may not always align with guideline recommendations, potentially reflecting use in earlier lines of therapy for a small subset and different dosing.

Despite the noted limitations, this is, to our knowledge, the first study that captures the real-world utilization of regorafenib in advanced or metastatic GIST in a US population.

The following statements are overreaching:

Despite guideline recommendations as an established third-line therapy, regorafenib may be used in earlier lines in the real world, perhaps for its ability to target a wide range of cancer pathways.- there is no data to substantiate this claim for the real world- and this may be misleading.

Discussion statement- The earlier use of regorafenib may be due to physician preference or patient- or market-specific drivers, such as mutation profiles, including KIT activation loop mutations (exon 17 or 18) or SDH deficient GIST which are more responsive to regorafenib and resistant to sunitinib- is completely unfounded with no data.

Updated both statements:

Despite guideline recommendations as an established third-line therapy, anecdotal reports suggest regorafenib may be used in earlier lines of therapy in the real world.[20]

The earlier use of regorafenib may be due to physician preference or patient- or market-specific drivers, such as mutation profiles,[26] or potential inaccessibility of sunitinib for some patients, as it is now off patent and does not have any available financial assistance programs.[27]

Does this comment truly represent the time period of the data or is this relevant to today?- potential inaccessibility of sunitinib for some patients, as it is now off patent and does not have any available financial assistance programs.

We would like to clarify that this statement is meant to align with the study’s observation period, which includes data through 2023, and is not intended to reflect an older era of practice.

We also recognize that access dynamics can evolve over time. While sunitinib is now off patent, some patients may still experience access barriers (e.g., coverage variability, formulary restrictions, or limited assistance options for certain products), which may affect real-world availability. In that context, we felt it was appropriate to note that regorafenib could represent an option to help address potential unmet need in earlier lines of care when access to sunitinib is challenging.

Reviewer #2

Line 88-89: "This lack of available data highlights a potential practice gap". This sentence is unclear. Perhaps the authors meant to say "The lack of available data limits our ability to determine practice patterns," or similar?

Agreed, updated sentence: Thes lack of available data limits the ability to determine practice patterns.

Line 107: Note "error" RE reference. Several other instances in manuscript.

Thank you for letting us know. The navigation does not show those errors in our copy, but we removed navigation links anyway assuming the formatting will be changed for final publication, so they aren’t needed.

Line 128: CCI score; to simplify for the reader, could you add what the categories mean by including something like: "Briefly, lower CCI score indicates fewer serious comorbidities..." and consider specifying why you split into cohorts of score 2-3 vs score 4+ (from table 1).

We have added the following footnote to Table 1: The CCI is a weighted index utilizing the presence of comorbid conditions to predict the risk of death. Lower scores indicate fewer serious comorbidities. Categories were chosen to represent common cutoffs that would impact treatment decisions.

Additionally, the CCI group summary has been updated to a more balanced grouping center around the median.

Line 138-139: Table 1 subgroups and stratification should line up with the categories listed here. Rather than putting "ie" I suggest detailing exactly what your subgroups are. Keep this consistent with text and figures. In the table for example, "pazopanib" is a header and it is not clear if this means pazopanib only vs any exposure to pazopanib. Further, since ripretinib was FDA approved during the study period (and since it is also an activation loop inhibitor, I suggest adding it as a subgroup. I also noted that sorafenib is listed in table 1, but here, avapritinib is listed.

We have updated the text to clearly state the subgroups and removed use of ie. We have also updated the headings of table 1 to match the text.

We have added the following footnote to Table 1:

Note: Baseline demographics for subgroups with n<10 are not presented as statistics from such low patient count subgroups are not expected to be reliable.

Finally, a big concern about these data is that many of the patients included in the study may have accessed TKI with patient assistance programs or as participants on clinical trials. I assume these data cannot capture this. Perhaps one sensitivity analysis could exclude any patients with a >3 month gap in therapies since we know that most patients with GIST are continuously on TKI therapy. This would hopefully remove any patients who were exposed to unknown TKI therapies.

Unfortunately, we are unable to complete additional analyses at this time.

We have added the following sentence to the first paragraph in the discussion:

One caveat to this study is the lack of captured use of treatments through clinical trials or patient assistance programs, which are inherent limitations in claims-based studies and limit applicability of results.

We have also added the following sentence in the limitations: Additionally, treatments received in clinical trials or through patient assistance programs were not captured in the claims data.

Line 142: "Groups were also stratified by initial regorafenib dose..." Some clinicians start TKI at a lower dose and escalate as tolerated, and the initial RX may reflect this strategy. Would it be possible to analyze the dose that the patient received most during their time on treatment (acknowledging that some may be at a lower dose due to toxicity).

This is an interesting perspective and we agree. This still highlights a difference from dose per label. Unfortunately, calculating dose received during entire treatment duration is outside the scope of our current paper.

Line 172: how were the remaining cases categorized (the ones included do not add up to 100%)?

The text was updated to specify subgroups of interest are reported and a footnote has been added under Table 1 to explain which subgroups are reported.

Table 1: typo in header "measured at any point in before index date period". Remove "in"? Updated, thank you

Line 187: include “n” for each cohort in body of text (prior IM or SU vs IM+SU) Added n’s

Line 190: Sentence fragment, please revise. Also include “n” for each cohort (LD vs RSD). Added n’s

Line 205-206: Without clinical context, I do not think including that 3 patients underwent surgery adds any information. Consider removing. Removed sentence

Line 211-216: include “n” for each cohort (prior IM or SU vs IM+SU; LD vs RSD). Added n’s

Line 217: Remove “slightly shorter”. These numbers are essentially the same so I suggest leaving out that description. You can just report the median TTNT for each cohort. Updated to suggested text.

Line 221-226: The opening sentence is correct- although I still question whether it is clinically meaningful- but the second sentence RE LD vs RSD is overstated in my opinion. 103 vs 94.5 days are so similar and to highlight that patients on LD have longer DOT seems misleading. We have updated the text to the following: While numerically different, no clinically meaningful differences were observed in DOT or TTNT between patients on LD regorafenib and those on RSD.

Line 239-242: I suggest commenting on whether result is statistically significant and clinically meaningful to warrant additional evaluation. Further, therapies used in earlier lines often have better clinical outcomes than when used in later lines, yet they may not be better than the approved earlier-line therapies. We have softened this language as follows: DOT was numerically longer in patients who received regorafenib after imatinib or sunitinib only compared to those who received both imatinib and sunitinib; there are multiple potential drivers of longer DOT with earlier use of regorafenib such as specific GIST molecular profiles and improved patient tolerance prior to multiple lines of therapy. Similarly, there may be drivers of shorter DOT in those who received regorafenib after two therapies such as a more aggressive or unresponsive disease profile.

Line 245-246: Again, I suggest softening language here and mentioning that difference is similar and not clinically meaningful (1.5 weeks different). Edited to: Median DOT and TTNT were similar between patients who received LD vs those who received RSD.

Line 248: I did not see underrepresented status indicated in Table 1. Please define what is meant here. Edited to “underrepresented” as follows: “While limited by several factors noted below, these results help portray the real-world treatment patterns and characteristics of a patient population with advanced metastatic GIST.

Line 278-288: You may also mention that treatments received on clinical trials are not captured in these data. Added sentence “Additionally, treatments received in clinical trials were not captured in the claims data.”

Line 290-291: I think given the limitations of this data type, it is challenging to make any conclusions about utilization patterns. Updated line to soften this sentence: While acknowledging its limitations, this real-world study reveals that the utilization patterns of regorafenib may not always align with guideline recommendations, potentially reflecting use in earlier lines of therapy for a small subset and different dosing.

Line 292-294: As mentioned many times, 1.5 weeks difference should not be highlighted as a true difference. Please revise. Revised to phrase DOT as similar instead of different: ”Patients on LD regorafenib had DOT and TTNT similar to those on RSD.”

Line 294-295: I’d suggest including more nuance if there is really a case for additional studies. Do you suggest a randomized trial evaluating regorafenib vs sunitinib, or bezuclastinib/sunitinib in 2nd line? Or regorafenib vs ripretinib for activation loop secondary mutations? This does not seem feasible and I’m not sure what additional studies should be done here. Revised to: However, additional studies will be needed to clarify benefits in earlier therapy lines and, as newer treatments emerge, to understand responses across molecular profiles so that the most effective drugs can be sequenced earlier to match each patient’s profile.

Line 295-297: be sure to include US population; studies exist in other countries. Added “US population” at the end of the sentence:

To our knowledge, this is the first study that captures the real-world utilization of regorafenib in advanced or metastatic GIST in a US population.

Line 297-298: I disagree with the conclusion that this adds nuance to the understanding of regorafenib treatment patterns and clinical outcomes. I am also not sure what “insufficiently characterized patient population” means. We have updated the final sentence to state: Findings from this study help portray the real-world treatment patterns and characteristics of a patient population with advanced or metastatic disease.

Attachment

Submitted filename: Journal revision table_18MAR26_Final.docx

pone.0353357.s002.docx (35.4KB, docx)

Decision Letter 1

Anette Duensing, Anette Duensing

14 Apr 2026

-->PONE-D-25-61423R1-->-->Real-world regorafenib use among patients with advanced gastrointestinal stromal tumor in the United States-->-->PLOS One

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Reviewer #1: All comments appreciated. No further recommendations.

Appreciate the time and effort to make the changes.

Reviewer #2: Please update the abstract, (line 59) first sentence in the conclusion to conclude that TTNT *and* DOT were similar for LD and RSD.

Please correct the sentence in the abstract (line 54): "Patients who received prior imatinib or sunitinib alone

54 before regorafenib reported a numerically longer median DOT". ...The patients did not "report". You can say, for example, "The data showed that patients who received...had a numerically longer median DOT."

Please the language for the sentence in the abstract (line 56): "LD demonstrated a longer median DOT compared to RSD" and instead indicate that they are similar.

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PLoS One. 2026 Jul 31;21(7):e0353357. doi: 10.1371/journal.pone.0353357.r004

Author response to Decision Letter 2


2 Jun 2026

Reviewer #1: All comments appreciated. No further recommendations.

Appreciate the time and effort to make the changes.

We thank the reviewer for their positive feedback and effort to help make our manuscript suitable for publication.

Reviewer #2: Please update the abstract, (line 59) first sentence in the conclusion to conclude that TTNT *and* DOT were similar for LD and RSD.

This has been corrected and now reads: “Patients on LD and RSD had similar DOT and TTNT.”

Please correct the sentence in the abstract (line 54): "Patients who received prior imatinib or sunitinib alone

54 before regorafenib reported a numerically longer median DOT". ...The patients did not "report". You can say, for example, "The data showed that patients who received...had a numerically longer median DOT."

This has been corrected and now reads: “Patients who received prior imatinib or sunitinib alone before regorafenib had a numerically longer median DOT…”

Please the language for the sentence in the abstract (line 56): "LD demonstrated a longer median DOT compared to RSD" and instead indicate that they are similar.

This has been corrected and now reads: “Patients receiving LD and RSD demonstrated similar median DOT…and TTNT…”

Attachment

Submitted filename: Response to Reviews 4.30.26.docx

pone.0353357.s003.docx (15.7KB, docx)

Decision Letter 2

Anette Duensing, Anette Duensing, Anette Duensing

24 Jun 2026

Real-world regorafenib use among patients with advanced gastrointestinal stromal tumor in the United States

PONE-D-25-61423R2

Dear Dr. Denu,

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Anette Duensing, M.D.

Academic Editor

PLOS One

Additional Editor Comments (optional):

Reviewers' comments:

Acceptance letter

Anette Duensing, Anette Duensing, Anette Duensing

PONE-D-25-61423R2

PLOS One

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Academic Editor

PLOS One

Associated Data

    This section collects any data citations, data availability statements, or supplementary materials included in this article.

    Supplementary Materials

    Attachment

    Submitted filename: Journal revision table_18MAR26_Final.docx

    pone.0353357.s002.docx (35.4KB, docx)
    Attachment

    Submitted filename: Response to Reviews 4.30.26.docx

    pone.0353357.s003.docx (15.7KB, docx)

    Data Availability Statement

    Data were obtained from Merative MarketScan Research Databases. These data are available to purchase by Federal, non-profit, academic, pharmaceutical, and other researchers. Use of the data is contingent on completing a data use agreement and purchasing the data needed to support the study. More information about licensing the Merative MarketScan Research Databases is available at https://www.merative.com/real-world-evidence. Restrictions apply to the availability of these data, which were used under license for this study, and we are not able to share directly.


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