A Comparison of Real-World Treatment Patterns and Clinical Outcomes in Patients Receiving First-Line Therapy for Unresectable Advanced Gastric or Gastroesophageal Junction Cancer Versus Esophageal Adenocarcinomas
verfasst von:
Veena Shankaran, Hong Xiao, David Bertwistle, Ying Zhang, Min You, Pranav Abraham, Ian Chau
Management of locally advanced, unresectable, or metastatic (adv/met) esophageal adenocarcinoma (EAC) follows clinical guidance for gastric cancer (GC) and gastroesophageal junction cancer (GEJC). However, evidence for these guidelines is based largely on patients with adv/met GC/GEJC, and generally excludes patients with EAC. It is currently unclear whether patients with adv/met GC/GEJC and adv/met EAC have similar demographics and clinical outcomes in real-world practice.
Methods
Adult patients diagnosed with adv/met GC/GEJC and adv/met EAC between January 1, 2011 and November 30, 2018 were identified (Flatiron Health database); patients with confirmed human epidermal growth factor receptor 2 (HER2)-positive tumors were excluded, and index was date of adv/met diagnosis. Median overall survival (OS) from start of first-line therapy until death/censoring was estimated by the Kaplan–Meier method. Multivariable analysis (Cox proportional hazards) was conducted to identify factors associated with OS.
Results
In total, 3052 patients were identified (adv/met GC/GEJC, n = 2083; adv/met EAC, n = 969). Patients with EAC were more likely to be male, have a history of smoking, have a higher body weight and body mass index, and were less likely to be Hispanic/Latino or Medicaid enrollees than patients with GC/GEJC. A similar proportion of patients with adv/met GC/GEJC (75%; n = 2326) and adv/met EAC (77%; n = 1573) received first-line therapy. Fluoropyrimidine plus platinum combinations were the most frequent first-line regimen in both groups (36%). Median OS was similar for patients with adv/met GC/GEJC and adv/met EAC (9.7 vs. 9.1 months, respectively; hazard ratio [95% confidence interval] 0.96 [0.87–1.06]; p = 0.4320).
Conclusion
Despite minor differences in baseline demographics, clinical outcomes for patients with adv/met GC/GEJC and EAC are similar. This supports the inclusion of patients with adv/met EAC in clinical trials assessing adv/med GC/GEJC.
Key Summary Points
Why carry out this study?
Clinical management of locally advanced, unresectable, or metastatic (adv/met) esophageal adenocarcinoma (EAC) generally follows the recommendations for adv/met gastric cancer (GC) and adv/met gastroesophageal junction cancer (GEJC).
Few studies have assessed whether patients receiving first-line therapy for adv/met GC/GEJC and adv/met EAC have similar demographics, treatment patterns, and clinical outcomes in routine clinical practice.
What was learned from the study?
In this real-world analysis of electronic health records, there were some minor underlying demographic differences between patients with adv/met GC/GEJC and adv/met EAC; patients with EAC were more likely to be male, have a history of smoking, have a higher body weight and body mass index, and were less likely to be Hispanic/Latino or Medicaid enrollees.
Both groups of patients appeared to receive comparable treatment in real-world practice, with fluoropyrimidine plus platinum combinations the most frequent first-line regimen in both groups; over one-third of patients in each group (36%) received these agents.
Median OS was broadly similar for those who were diagnosed with adv/met GC/GEJC (9.7 months) and those with adv/met EAC (9.1 months); Cox regression indicated that survival was not associated with the primary site of disease (GC/GEJC vs. EAC).
Time to next treatment and progression-free survival were also similar between patients with adv/met GC/GEJC and those with adv/met EAC.
In real-world clinical practice, patients with EAC are treated similarly to those with adv/met GC/GEJC, and have similar outcomes; patients with adv/met EAC should therefore be included in clinical trials of adv/met GC/GEJC.
Digital Features
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Introduction
Gastric and esophageal cancers are among the most frequent cause of cancer-related deaths worldwide [1]. In the USA, it is estimated that gastric cancer (GC) and esophageal cancer will account for 11,140 and 16,080 deaths in 2019, respectively, according to mortality data from the National Center for Health Statistics [2]. GC (including gastroesophageal junction cancers) and esophageal cancers often remain undiagnosed until a relatively late stage in the disease course, and 5-year survival in patients with distant metastatic disease is approximately 5% [2, 3]. Esophageal adenocarcinoma (EAC) is the most common esophageal cancer subtype in the USA, accounting for approximately 60% of US esophageal cancer cases [4].
For locally advanced, unresectable, or metastatic (adv/met) GC/GEJC, National Comprehensive Cancer Network Guidelines® recommend first-line treatment with fluoropyrimidine-based (fluorouracil or capecitabine) and platinum-based (cisplatin or oxaliplatin) combinations, with the addition of trastuzumab for patients who have human epidermal growth factor receptor 2 (HER2)-positive tumors. Clinical management of EAC typically follows the recommendations for GC/GEJC [5, 6]. However, much of the evidence for first-line therapy in this clinical setting is based on trials of patients with adv/met GC and/or GEJC [7‐10] or esophageal squamous cell carcinoma [11], and patients with EAC have generally been excluded from these trials. In fact, of the evidence base cited by these guidelines to support first-line therapy of EAC, only one study explicitly included patients with EAC [12]. Recent genomic analyses have shown that the molecular characteristics of EAC are more similar to gastric adenocarcinomas than to esophageal squamous cancer [13], but it remains unclear whether patients with adv/met GC/GEJC and adv/met EAC have similar demographics and clinical outcomes in routine clinical practice, which may provide insight into the validity of enrolling patients with adv/met EAC in adv/met GC/GEJC clinical trials. This study aimed to compare real-world demographics, treatment patterns, and clinical outcomes of patients with adv/met GC/GEJC and adv/met EAC.
Methods
Data Source and Patient Selection
This article is based on observational data from the Flatiron Health electronic health record database, and does not contain any studies with human participants or animals performed by any of the authors.
This retrospective observational study used Flatiron Health’s longitudinal demographically and geographically diverse database, which contains electronic health record data from more than 280 cancer clinics including over 2.4 million US patients with active cancer [14]. The Flatiron database de-identified, patient-level unstructured data collected via technology-enabled chart abstraction from physician notes and other documents, in addition to structured data. Structured data include demographics, diagnosis codes (International Classification of Diseases, 9th and 10th Revisions), laboratory visits, medications, and Eastern Cooperative Oncology Group (ECOG) performance status (PS). Unstructured data include date of initial diagnosis, stage at initial diagnosis, primary tumor characteristics, biomarker testing, and limited information on surgeries.
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Patients with a record of adv/met GC/GEJC/EAC in routine clinical practice from January 1, 2011 through November 30, 2018 were included; index date was the date of adv/met diagnosis. Patients were eligible for this study if they were at least 18 years of age, had a diagnosis of adv/met gastric/gastroesophageal/esophageal cancer, had histologically confirmed adenocarcinoma, and had at least 1 month of available medical data after index; eligibility criteria and patient attrition are presented in Fig. 1. Patients with evidence of HER2-positive cancer (either by a positive test for HER2 expression or as indicated by receipt of trastuzumab) were excluded from the analysis, given that these patients generally receive HER2-targeted therapies and have different clinical outcomes compared with patients with non-HER2-positive GC/GEJC [15]. Patients were followed up until death, discontinuation from database, or the end of the study period, whichever came earlier. The start of the first-line therapy was defined as the initiation date of the first eligible therapy recorded after or up to 14 days before the index date. The end of first-line therapy was defined as the date of last recorded administration of first-line therapy (or by death or censoring, as appropriate). Advancement to second-line therapy was defined as receipt of an entirely new therapy regimen or a gap in therapy of more than 120 days.
Fig. 1
Patient identification and attrition. 1L first-line, adv/met advanced/metastatic, EAC esophageal adenocarcinoma, GC gastric cancer, GEJC gastroesophageal junction cancer, HER2 human epidermal growth factor receptor 2. Resection status (resectable/unresectable) derived from chart abstraction. aMedical data were defined as clinical data in the patient record from outpatient physician office visits, nonfacility visits, laboratory visits, treatment/procedure visits, or medication administration; patients who died within 1 month were not excluded
×
Cisplatin/carboplatin substitution was considered not to indicate a change in line of therapy, as was substitution between fluorouracil/capecitabine, substitution or addition of leucovorin or levoleucovorin, and addition of ramucirumab, to chemotherapy/targeted therapy.
Study Variables and Outcomes
For all patients who met inclusion criteria, baseline variables were recorded, including age, sex, race, disease stage at initial diagnosis, ECOG PS, and primary tumor location. Treatment patterns and clinical outcomes were assessed in patients who subsequently received active therapy. Individual first-line treatment regimens received were identified and summarized. Overall survival (OS) was defined as the time from start of first-line therapy until date of death or censoring (last recorded medical activity). Duration of first-line therapy was defined as the time from start of first-line therapy until the last record of first-line therapy. Real-world progression (a proxy for progression-free survival as recorded in clinical trials) was defined as the time from start of first-line treatment until disease progression, death, or censoring. Time to next treatment (TTNT) was defined as the time from start of first-line therapy until start of second-line therapy (or until death or censoring, if the patients did not receive second-line therapy).
Statistical Analyses
Baseline demographics and patient characteristics at the index date were summarized using descriptive statistics; frequencies and proportions were reported for categorical data, and means (standard deviations) and medians (ranges) were provided for continuous data. Median (95% confidence intervals, CIs) for OS, real-world progression, and TTNT were estimated by the Kaplan–Meier method. A multivariable analysis (Cox proportional hazards model) was conducted to identify factors associated with OS in patients receiving first-line therapy.
Results
Baseline Demographics and Disease Characteristics
After inclusion/exclusion criteria were applied, 3052 patients diagnosed with adv/met GC/GEJC/EAC were identified (adv/met GC/GEJC, n = 2083; adv/met EAC, n = 969) (Fig. 1). Baseline demographics and disease characteristics at index for all included patients are shown in Table 1; the median age of included patients was 66 years; 74% were male, 63% were white, 61% had a history of smoking, and 64% had been diagnosed with stage IV disease at initial diagnosis. The primary site of disease was GC/GEJC in 68% of patients and EAC in 32% of patients. When stratified by primary site of disease (GC/GEJC vs. EAC), patients with EAC were more likely to be male (67% vs. 90%; p < 0.0001), have a history of smoking (56% vs. 73%; p < 0.0001), have a higher baseline body weight (mean 168 lbs vs. 186 lbs; p < 0.0001), have a higher body mass index (mean 26.2 kg/m2 vs. 27.9 kg/m2; p < 0.0001) (Table 1).
Table 1
Baseline patient demographics and disease characteristics in patients diagnosed with adv/met GC/GEJC and adv/met EAC
All (n = 3052)
Adv/met GC/GEJC (n = 2083)
Adv/met EAC (n = 969)
p value
Median (range) age at index, years
66 (24–85)
66 (25–85)
66 (24–85)
0.2900
Age group at index, n (%)
0.4564
≥ 65 years
1655 (54.2)
1120 (53.8)
535 (55.2)
< 65 years
1397 (45.8)
963 (46.2)
434 (44.8)
Sex, n (%)
< 0.0001
Male
2263 (74.1)
1393 (66.9)
870 (89.8)
Female
789 (25.9)
690 (33.1)
99 (10.2)
Practice type, n (%)
0.5313
Community
2909 (95.3)
1982 (95.2)
927 (95.7)
Academic
143 (4.7)
101 (4.8)
42 (4.3)
Benefit plan type, n (%)
Commercial health plan
1072 (35.1)
728 (34.9)
344 (35.5)
0.7666
Medicare
719 (23.6)
498 (23.9)
221 (22.8)
0.5047
Medicaid
99 (3.2)
78 (3.7)
21 (2.2)
0.022
Other government program
96 (3.1)
65 (3.1)
31 (3.2)
0.9077
Patient assistance program
30 (1.0)
21 (1.0)
9 (0.9)
0.8361
Self-pay
13 (0.4)
11 (0.5)
2 (0.2)
0.204
Other
563 (18.4)
390 (18.7)
173 (17.9)
0.5643
Missing
976 (32.0)
649 (31.2)
327 (33.7)
0.1534
Geographic region, n (%)
< 0.0001
South
1094 (35.8)
778 (37.3)
316 (32.6)
Northeast
639 (20.9)
414 (19.9)
225 (23.2)
West
642 (21.0)
458 (22.0)
184 (19.0)
Midwest
453 (14.8)
261 (12.5)
192 (19.8)
Other
55 (1.8)
47 (2.3)
8 (0.8)
Missing
169 (5.5)
125 (6.0)
44 (4.5)
Race, n (%)
< 0.0001
White
1913 (62.7)
1177 (56.5)
736 (76.0)
Black or African American
208 (6.8)
181 (8.7)
27 (2.8)
Asian
138 (4.5)
129 (6.2)
9 (0.9)
Other
423 (13.9)
335 (16.1)
88 (9.1)
Missing
370 (12.1)
261 (12.5)
109 (11.2)
Ethnicity, n (%)
< 0.0001
Hispanic or Latino
313 (10.3)
275 (13.2)
38 (3.9)
Other/missing
2739 (89.7)
1808 (86.8)
931 (96.1)
Smoking status, n (%)
< 0.0001
History of smoking
1871 (61.3)
1162 (55.8)
709 (73.2)
No history of smoking
1082 (35.5)
849 (40.8)
233 (24.0)
Missing
99 (3.2)
72 (3.5)
27 (2.8)
Weight at index, lb
n = 2258
n = 1501
n = 757
< 0.0001
Mean (SD)
173.9 (45.3)
167.6 (44.3)
186.2 (44.7)
Median (range)
169 (68.6–385.4)
162 (68.6–385.4)
182 (84.0–380.0)
BMI at index, kg/m2
n = 2247
n = 1493
n = 754
< 0.0001
Mean (SD)
26.7 (6.1)
26.2 (5.8)
27.9 (6.5)
Median (range)
26.2 (12.2–67.3)
25.6 (12.2–51.2)
27.2 (14.4–67.3)
Median (range) follow-up from index, mo
7.8 (0.1–95.1)
7.9 (0.2–95.1)
7.7 (0.1–80.9)
0.6105
Stage at initial diagnosis, n (%)
0.9345
Stage I–III
835 (27.4)
573 (27.5)
262 (27.0)
Stage IV
1967 (64.4)
1338 (64.2)
629 (64.9)
Missing
250 (8.2)
172 (8.3)
78 (8.0)
ECOG PS at start of 1L, n (%)
0.1969
Not available
1123 (48.3)
774 (49.2)
349 (46.3)
Available
1203 (51.7)
799 (50.8)
404 (53.7)
0.7225
0–1
1003 (83.4)
664 (83.1)
339 (83.9)
≥ 2
200 (16.6)
135 (16.9)
65 (16.1)
1L first-line, adv/met locally advanced, unresectable, or metastatic, BMI body mass index, EAC esophageal adenocarcinoma, ECOG PS Eastern Cooperative Oncology Group performance status, GC gastric cancer, GEJC gastroesophageal junction cancer, SD standard deviation
Treatment Patterns
Among all patients diagnosed with adv/met GC/GEJC/EAC (n = 3052), 76% (n = 2326) received first-line therapy; the median time from diagnosis of advanced disease until start of first-line in these patients was identical in patients with adv/met GC/GEJC and in patients with adv/met EAC (1.1 months; Table 2). Among patients initiating first-line therapy for adv/met GC/GEJC/EAC (n = 2326), 36% received fluoropyrimidine plus platinum-based therapy (adv/met GC/GEJC, 36%; adv/met EAC, 35%). Additionally, 11% of patients initiating first-line therapy for adv/met GC/GEJC/EAC received docetaxel in combination with fluoropyrimidine plus platinum-based therapy (adv/met GC/GEJC, 12%; adv/met EAC, 11%) and 12% received epirubicin in combination with fluoropyrimidine plus platinum-based therapy (adv/met GC/GEJC, 14%; adv/met EAC, 8%). An additional 20% of patients initiating first-line therapy for adv/met GC/GEJC/EAC received taxanes plus platinum-based agents (adv/met GC/GEJC, 15%; adv/met EAC, 30%).
Table 2
Treatment patterns in patient diagnosed with adv/met GC/GEJC and adv/met EAC
All (n = 3052)
Adv/met GC/GEJC (n = 2083)
Adv/met EAC (n = 969)
Received 1L therapy, n (%)
2326 (76.2)
1573 (75.5)
753 (77.7)
Median (range) time from index to 1L, months
1.1 (0–89.9)
1.1 (0–89.9)
1.1 (0–63.0)
Median (range) duration of 1L, months
2.1 (0.03–34.2)
2.3 (0.03–34.2)
1.9 (0.03–25.1)
Regimen classes in 1L, n (%)
Fluoropyrimidine + platinum
828 (35.6)
568 (36.1)
260 (34.5)
Taxane plus platinum
454 (19.5)
229 (14.6)
225 (29.9)
ECFa
276 (11.9)
215 (13.7)
61 (8.1)
DCFa
263 (11.3)
183 (11.6)
80 (10.6)
Fluoropyrimidine monotherapy
201 (8.6)
167 (10.6)
34 (4.5)
Fluorouracil + irinotecan + leucovorin
42 (1.8)
30 (1.9)
12 (1.6)
Taxane monotherapy
37 (1.6)
19 (1.2)
18 (2.4)
Other
225 (9.7)
162 (10.3)
63 (8.4)
Regimen classes are not mutually exclusive categories; percentages are calculated relative to number of patients receiving 1L
1L first-line, adv/met locally advanced, unresectable, or metastatic, DCF docetaxel plus cisplatin and fluorouracil, EAC esophageal adenocarcinoma, ECF epirubicin plus cisplatin and fluorouracil, GC gastric cancer, GEJC gastroesophageal junction cancer
aIncludes “modified” DCF/ECF (i.e., could include any fluoropyrimidine or platinum-based therapy, in combination with docetaxel/epirubicin)
Clinical Outcomes
In patients who received first-line therapy for adv/met GC/GEJC/EAC, median OS was 9.5 months (Table 3), and was similar for those who were diagnosed with adv/met GC/GEJC and adv/met EAC (9.7 months vs. 9.1 months; Fig. 2). As the proportional hazards assumption was found not to hold for some variables, a time interaction term was added to extend the model to account for nonproportional hazards. Multivariable Cox regression of covariates indicated that the primary site of disease (GC/GEJC vs. EAC) was not associated with survival (hazard ratio [HR] [95% CI] 0.96 [0.87–1.06]; p = 0.4320) (Table 4). Disease stage at initial diagnosis (stage I–III vs. stage IV, HR [95% CI] 0.64 [0.54–0.75]; p < 0.0001) and ECOG PS at start of first-line (2–4 vs. 0–1, HR [95% CI] 2.63 [2.01–3.45]; p < 0.0001) were significantly associated with survival in multivariable Cox regression. The probability of survival in patients who received first-line therapy for adv/met GC/GEJC/EAC was 39% at 12 months and 15% at 24 months after start of first-line treatment (Table 3). Survival probability was similar between adv/met GC/GEJC and adv/met EAC at 12 months (40% vs. 36%, respectively) and 24 months (15% vs. 13%, respectively) (Fig. 2; Table 3). Median (95% CI) TTNT in all patients who received first-line therapy was 5.3 (5.1–5.6) months, and was similar between adv/met GC/GEJC and adv/met EAC subgroups (5.4 [5.1–5.7] months and 5.1 [4.7–5.6] months, respectively). Median (95% CI) real-world progression in all patients who received first-line therapy was 5.1 (4.9–5.4) months, and was similar between adv/met GC/GEJC and adv/met EAC subgroups (5.3 [5.0–5.6] months and 4.8 [4.4–5.3] months, respectively).
Table 3
Clinical outcomes in patients diagnosed with adv/met GC/GEJC and adv/met EAC
All (n = 2326)
Adv/met GC/GEJC (n = 1573)
Adv/met EAC (n = 753)
Median (95% CI) OS from start of 1L, months
9.5 (9.0–9.9)
9.7 (9.0–10.2)
9.1 (8.4–9.9)
Survival probability at 12 months (SD)
38.8 (1.1)
40.4 (1.3)
35.7 (1.9)
Survival probability at 24 months (SD)
14.8 (0.9)
15.5 (1.1)
13.3 (1.5)
Median (95% CI) TTNT from start of 1L, months
5.3 (5.1–5.6)
5.4 (5.1–5.7)
5.1 (4.7–5.6)
Median (95% CI) real-world progression from start of 1L, months
5.1 (4.9–5.4)
5.3 (5.0–5.6)
4.8 (4.4–5.3)
1L first-line, adv/met locally advanced, unresectable, or metastatic, CI confidence interval, EAC esophageal adenocarcinoma, GC gastric cancer, GEJC gastroesophageal junction cancer, OS overall survival, SD standard deviation, TTNT time to next treatment
Fig. 2
Survival outcomes from start of 1L in patients with adv/met GC/GEJC and adv/met EAC. 1L first-line, adv/met locally advanced, unresectable, or metastatic, CI confidence interval, EAC esophageal adenocarcinoma, GC gastric cancer, GEJC gastroesophageal junction cancer, OS overall survival, SD standard deviation. All patients in survival analysis had at least 6 months of potential follow-up
Table 4
Multivariable Cox regression HRs (including time interaction terms) for survival from start of 1L
Comparator
Reference
HR (95% CI)
p value
Primary site of disease
GC/GEJC
EAC
0.96 (0.87–1.06)
0.4320
Age group
≥ 65 years
< 65 years
1.04 (0.93–1.16)
0.5151
Practice type
Academic
Community
2.31 (0.43–12.47)
0.3306
Sex
Male
Female
1.10 (0.98–1.23)
0.1175
Race
Asian
White
0.82 (0.64–1.05)
0.1203
Black
1.01 (0.84–1.22)
0.9119
Other
0.77 (0.66–0.90)
0.0008
Missing
1.43 (1.22–1.68)
< 0.0001
US region
Midwest
South
0.97 (0.78–1.20)
0.7829
Northeast
0.79 (0.65–0.96)
0.0163
West
0.83 (0.68–1.01)
0.0612
Other
0.41 (0.18–0.92)
0.0294
Missing
0.64 (0.12–3.30)
0.5909
Insurance type
Multiple types
Commercial plan
1.03 (0.87–1.21)
0.7323
Medicare
0.91 (0.74–1.11)
0.3465
Medicaid
1.03 (0.72–1.48)
0.8549
Other
1.06 (0.91–1.24)
0.4334
Missing
0.98 (0.86–1.11)
0.7404
Disease stage at initial diagnosis
Stage I–III
Stage IV
0.64 (0.54–0.75)
< 0.0001
Unknown
0.67 (0.51–0.89)
0.0053
Smoking status
History of smoking
No history of smoking
0.98 (0.83–1.14)
0.7513
Unknown
1.39 (0.93–2.07)
0.1129
ECOG PS at start of 1L
ECOG PS 2–4
ECOG PS 0–1
2.63 (2.01–3.45)
< 0.0001
Missing
1.29 (1.10–1.51)
0.0013
Practice type × time
Academic
Community
0.99 (0.99–1.00)
0.1044
US region × time
Midwest
South
1.00 (1.00–1.00)
0.8082
Northeast
1.00 (1.00–1.00)
0.0577
West
1.00 (1.00–1.00)
0.0647
Other
1.00 (1.00–1.00)
0.8856
Missing
1.01 (1.00–1.01)
0.1507
Disease stage at initial diagnosis × time
Stage I–III
Stage IV
1.00 (1.00–1.00)
0.4347
Unknown
1.00 (1.00–1.00)
0.0284
Smoking status × time
History of smoking
No history of smoking
1.00 (1.00–1.00)
0.9752
Unknown
1.00 (1.00–1.00)
0.0872
ECOG PS at start of 1L × time
2–4
0–1
1.00 (1.00–1.00)
0.0017
Missing
1.00 (1.00–1.00)
0.0032
1L first-line, CI confidence interval, EAC esophageal adenocarcinoma, ECOG PS Eastern Cooperative Oncology Group performance status, GC gastric cancer, GEJC gastroesophageal junction cancer, HR hazard ratio
×
Discussion
This study provides important data directly comparing baseline demographic and clinical characteristics and treatment patterns and is the first to directly compare survival in US patients receiving first-line therapy for adv/met GC/GEJC versus adv/met EAC in routine clinical practice. We identified statistically significant differences in baseline characteristics between patients with adv/met GC/GEJC and patients with adv/met EAC that reflect underlying differences in disease epidemiology. The observed predominance of male patients with EAC (90%) is similar to that previously reported in North America [16]. Similarly, EAC has been reported to occur more frequently in white patients than in patients of other races [17]. Obesity has been previously demonstrated to be a risk factor for EAC and GEJC [1, 18]; in the present analysis, baseline body mass index was higher in patients diagnosed with EAC than with GC/GEJC. The underlying differences in baseline demographics presented here may reflect the risk factors for GC/GEJC and EAC; regardless, the treatment and outcomes in these patients once diagnosed are broadly comparable. Recently, another publication using the Flatiron database reported demographics for patients with advanced GC, advanced GEJC, and advanced EAC [19]. As expected, despite minor differences in inclusion criteria, baseline demographics were very similar to those seen in the present analysis.
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Clinical guidelines suggest that patients initiating first-line therapy for adv/met GC/GEJC/EAC should receive fluoropyrimidine plus platinum-based therapy [6]. The majority of patients (almost 60%) in this analysis received first-line fluoropyrimidine plus platinum-based therapy, with or without additional agents (such as docetaxel and epirubicin). Findings from the study reported by Barzi et al. support our observations that patients with adv/met EAC are treated similarly to patients with adv/met GC/GEJC [19]. However, we did observe that first-line taxane plus platinum-based therapy appeared to be lower in patients with adv/met GC/GEJC than with adv/met EAC.
Clinical outcomes in real-world patients with adv/met GC/GEJC and adv/met EAC appeared similar in this analysis, with comparable median OS and survival rates at 1 and 2 years after initiating first-line therapy. These observations are broadly in line with a pooled analysis of clinical trial patients with adv/met GC/GEJC and adv/met EAC, which reported comparable survival outcomes for these populations receiving first-line fluoropyrimidines with or without platinum-based chemotherapies; the OS values reported in that analysis were strikingly similar to those in the present study (adv/met GC, 8.7 months; GEJC, 9.3 months; adv/met EAC, 9.5 months) [20]. Despite available treatment options, prognosis for patients with adv/met GC/GEJC/EAC remains poor; median OS in recent trials of first-line chemotherapy for advanced GC was 8.8–14.1 months [21‐24].
Although EAC and GC have been shown to be molecularly similar [13], underlying molecular and biomarker differences between EAC and GC/GEJC may remain. We excluded patients with confirmed HER2 status; HER2 testing is recommended for all patients with adv/met EAC/GC/GEJC, and such patients typically received different therapy (HER2-targeted therapies in addition to the chemotherapy backbone received by non-HER2-positive patients), which is associated with superior clinical outcomes [15]. Expression of other biomarkers, including microsatellite instability-high or deficient mismatch repair, programmed death 1/programmed death ligand 1, and Epstein–Barr virus, may differ between EAC, GC, and GEJC, but as these biomarkers were not routinely tested for in clinical practice during the study observation period (2011–2018), we were unable to consider their impact in the current study. However, future studies may wish to evaluate the relative prevalence of these biomarkers in EAC, GC, and GEJC.
This is the first study to compare the demographics and clinical outcomes of real-world US patients with adv/met GC/GEJC and adv/met EAC receiving first-line therapy, and uses the Flatiron Health electronic health record database. The Flatiron database has been shown to be nationally representative of the US community oncology setting, and patient demographics are generally similar to those of the Surveillance, Epidemiology and End Results program [25]. Several limitations common to all real-world analyses are present, such as the lack of clinical detail in the electronic health records and missing and/or miscategorized data. This analysis is reliant on accurate diagnosis of primary tumor site by the treating physician, and we were unable to objectively verify the recorded site of disease. Patient’s medical history may not be complete if treatment was previously received at a nonparticipating center and/or as an inpatient. Limitations in comparing survival estimates between clinical trial data and real-world analyses should be taken into consideration because of the potentially higher proportion of patients lost to follow-up in database analyses. Additionally, Flatiron holds no information on tumor mutational burden and microsatellite instability, which are known prognostic indicators in multiple solid tumors [26, 27]. Future analyses may address this by incorporating comprehensive molecular/genomic tests such as FoundationOne. However, real-world data can provide important insights into routine clinical practice and real-world patient care [28].
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Despite the molecular similarities of tumors in patients with GC/GEJC and EAC, suggesting that these cancers could be considered a single disease entity [13], many relevant clinical trials continue to exclude patients with EAC tumors. In the adv/met setting, future clinical trials should expand enrollment to patients with EAC.
Conclusions
Our analysis demonstrated that although there are some underlying differences between the demographics of patients with adv/met EAC and patients with adv/met GC/GEJC, clinical outcomes with first-line systemic therapy appear similar for these two populations. This supports inclusion of patients with adv/met EAC in clinical trials of adv/met GC/GEJC.
Acknowledgements
Funding
Sponsorship for this study and the Journal's Rapid Service and Open Access fees were funded by Bristol Myers Squibb.
Authorship
All named authors meet the International Committee of Medical Journal Editors (ICMJE) criteria for authorship for this article, take responsibility for the integrity of the work as a whole, and have given their approval for this version to be published.
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Medical Writing and Editorial Assistance
Writing and editorial assistance was provided by Martin Bell, PhD, of Envision Pharma Group, funded by Bristol Myers Squibb.
Disclosures
Veena Shankaran has received research funding from Astellas, AstraZeneca, Bristol Myers Squibb, and Merck. Ian Chau has held consulting or advisory roles with AstraZeneca, Bayer, Boehringer Ingelheim, Bristol Myers Squibb, Eli Lilly, Five Prime Therapeutics, Merck Serono, MSD, Oncologie International, Pierre Fabre, Roche/Genentech, and has received honoraria or research funding from Eli Lilly, Janssen-Gilag, Merck-Serono, and Sanofi. Pranav Abraham, David Bertwistle, Hong Xiao, Ying Zhang, and Min You are employees of, and hold stock in, Bristol Myers Squibb.
Compliance with Ethics Guidelines
This article is based on observational data from the Flatiron Health electronic health record database, and does not contain any studies with human participants or animals performed by any of the authors.
Open AccessThis article is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License, which permits any non-commercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc/4.0/.
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