Survival and prognostic factors for postoperative primary appendiceal cancer: a retrospective cohort study based on the Surveillance, Epidemiology, and End Results database
Original Article

Survival and prognostic factors for postoperative primary appendiceal cancer: a retrospective cohort study based on the Surveillance, Epidemiology, and End Results database

Ying Wang, Yiting Geng, Wenwei Hu

Department of Oncology, The Third Affiliated Hospital of Soochow University, Changzhou, China

Contributions: (I) Conception and design: All authors; (II) Administrative support: W Hu; (III) Provision of study materials or patients: Y Wang; (IV) Collection and assembly of data: Y Wang; (V) Data analysis and interpretation: Y Wang; (VI) Manuscript writing: All authors; (VII) Final approval of manuscript: All authors.

Correspondence to: Wenwei Hu. Department of Oncology, The Third Affiliated Hospital of Soochow University, 185 Juqian Street, Changzhou 213003, China. Email: viphuwenwei@vip.163.com.

Background: The factors affecting the postoperative survival of patients with primary appendiceal cancer (PAC) have yet to be fully explored. And there are no clear guidelines for adjuvant treatment after appendectomy. Whether chemotherapy can prolong patient survival after appendectomy, is critical in guiding postoperative medications. The majority of studies on appendiceal cancer are single case reports, and they focused on the incidence of appendiceal cancer. The present study aimed to investigate the survival characteristics of patients with primary appendiceal cancer after surgery using the Surveillance, Epidemiology, and End Results (SEER) database.

Methods: The data of 2,891 cases of primary appendiceal cancer between 2004 to 2015 were obtained from the SEER database and subjected to survival analysis using the Kaplan-Meier method and Cox proportional-hazards model. The annual percentage change (APC) was calculated using the weighted least squares method.

Results: The overall age-adjusted incidence rate per 100,000 population steadily increased from 0.58 in 2004 to 1.63 in 2015. For patients who received chemotherapy, the median overall survival (OS) was 65 months and the 5-year OS rate was 51.9%, and for patients who did not receive chemotherapy or whose chemotherapy status was unknown, the median OS was not reached and the 5-year OS rate was 78.9%. Age [35< age <69: hazard radio (HR) =2.147; 95% confidence interval (CI): 1.442–3.197, P<0.001; age >69: HR =5.259; 95% CI: 3.485–7.937, P<0.001], race (White race: HR =0.728; 95% CI: 0.590–0.899, P=0.003), histologic type (mucinous neoplasm: HR =0.690; 95% CI: 0.580–0.821, P<0.001; malignant carcinoid: HR =0.657; 95% CI: 0.536–0.806, P<0.001), grade (II: HR =1.794; 95% CI: 1.471–2.187, P<0.001; III: HR =2.905; 95% CI: 2.318–3.640, P<0.001; IV: HR =3.128; 95% CI: 2.159–4.533, P<0.001), and stage (localized: HR =0.236; 95% CI: 0.194–0.287, P<0.001; regional: HR =0.425; 95% CI: 0.362–0.499, P<0.001) were identified as independent predictors of survival. And after adjusting for known factors (age, sex, race, tumor size, marital status, histologic type, grade, stage), chemotherapy (HR =1.220; 95% CI: 1.050–1.417, P=0.009) was revealed to be an independent indicator of poor prognosis.

Conclusions: There was an increasing trend in the incidence of appendiceal cancer in the United States between 2004 and 2015. Chemotherapy was revealed to be an independent indicator of poor prognosis, which provide valuable insight into the therapy of primary appendiceal cancer. Large clinical trials of chemotherapy and targeted therapy for appendiceal cancer are urgently needed.

Keywords: Primary appendiceal cancer; prognosis; Surveillance, Epidemiology, and End Results database (SEER database)


Submitted Apr 19, 2022. Accepted for publication Jun 14, 2022.

doi: 10.21037/jgo-22-454


Introduction

Primary appendiceal cancer is a rare malignant tumor of the digestive system, the incidence of which has been increasing in recent years (1). Between 2000 and 2016, the incidence of malignant appendiceal cancer increased by 232% and 292% in the United States and Canada, respectively (2). Primary appendiceal cancer shares a common embryonic origin with colon cancer (3). Owing to the abundance of enteroendocrine cells in the appendix wall, carcinoids are the most common histological type of appendiceal cancer, accounting for more than half of all such malignancies, and are discovered in 7 out of every 1,000 appendectomy specimens (3,4). Primary appendiceal cancer is rarely diagnosed before surgery (5), and it is usually discovered accidentally, in specimens resected for acute appendicitis (6). Due to its lack of characteristic clinical features, primary appendiceal cancer may be misdiagnosed as ovarian cancer in the absence of pathological testing (7). Surgery remains the best curative treatment for cancers of the appendix and allows for the most accurate diagnosis (8). Most studies on appendiceal tumors are isolated case reports (9-12), and there is a lack of clinical trials or meta-analyses with large samples. In 2018, Li et al. conducted a retrospective study of 50 cases of low-grade appendiceal mucinous neoplasms (LAMN) and found when LAMN was treated surgically with resection of the primary site in early stage disease or with pushing invasion, there was an excellent prognosis and expanded surgical procedures were unnecessary (13). Another study showed that for patients with appendiceal mucinous neoplasm misdiagnosed as ovarian cancer, the median peritoneal cancer index (PCI) and lactate dehydrogenase (LDH) levels were identified as independent predictors of poor overall survival (OS) (14). These studies focused on a single pathogenic kind of appendiceal tumor, and neither explored the prognostic influence of chemotherapy. In previous studies based on data from the Surveillance, Epidemiology, and End Results (SEER) database, they focused on the incidence of appendiceal cancer and the impact of different pathological types on survival, rather than on the impact of treatment on survival (1,15). The influence of many factors, such as age, tumor size, and grade, on the survival of postoperative patients remains largely undetermined, and whether adjuvant treatment can prolong patient survival after appendectomy is also controversial. Therefore, in this study, we aimed to analyze data from the SEER database to identify the prognostic factors of patients with primary appendix cancer after surgery and provide more guidance for clinical practice. We present the following article in accordance with the STROBE reporting checklist (available at https://jgo.amegroups.com/article/view/10.21037/jgo-22-454/rc).


Methods

Data source and patients

This study is a retrospective cohort analysis of freely accessible data retrieved from the Incidence-SEER Research Plus Data, Nov 2020 Sub (1975–2018) (https://seer.cancer.gov/). Patients from between 2004 and 2015 were selected to obtain survival information. The follow-up deadline is November 2020. Patients who met the following criteria were included in the study: (I) a diagnosis of primary appendiceal cancer; (II) an International Classification of Diseases for Oncology (ICD-O)-3 behavior code of malignant; and (III) a history of appendix surgery. Patients with incomplete survival information were excluded. Figure 1 shows patient selection flow chart.

Figure 1 Patient selection flow chart. SEER, Surveillance, Epidemiology, and End Results.

The following information was retrieved from the database: age at diagnosis; sex; race; marital status; tumor size, stage, histologic type, and grade; chemotherapy status; OS and cancer-special survival. According to the ICD-O V.3, there are five histological types of primary appendiceal cancer: colonic-type adenocarcinoma (8140, 8144, 8210, 8211, 8255, 8261, 8262, 8263, 8323, 8440, 8461, 8550, 8574), mucinous adenocarcinoma (8470, 8480, 8481), neuroendocrine neoplasm (8013, 8041, 8246), signet ring cell carcinoma (SRCC) (8490), and malignant carcinoid (8240, 8241, 8243, 8244, 8245, 8249). The study was conducted in accordance with the Declaration of Helsinki (as revised in 2013).

Statistical analysis

OS was defined as the time from surgery to the date of death or the last follow-up. Cancer-specific survival (CSS) was defined as the time from surgery to the date of cancer-related death. Survival curves, according to different factors, were obtained by Kaplan-Meier method. Median survival time and 5-year OS rate were estimated with the Kaplan-Meier method. Independent prognostic factors were determined by univariate and multivariate analyses using the Cox proportional-hazards regression model. All factors acquired from SEER database are included in the Cox multifactor analysis. Patients were divided into two categories, those who received chemotherapy and those who did not receive chemotherapy or did not know whether to receive chemotherapy. The chi-square test was used to compare differences between the two groups. The annual percentage change (APC) was calculated using the weighted least squares method (https://seer.cancer.gov/). The SPSS 26.0 statistical package (IBM Corporation, Armonk, NY, USA) and GraphPad Prism 6 (GraphPad Software Inc., San Diego, CA, USA) were used for all statistical analyses. Statistical significance was set at two-sided P<0.05.


Results

The age-adjusted incidence of appendiceal cancer

The overall age-adjusted incidence rate from 2004 to 2015 was 0.92 cases per 100,000 person-year. The annual percentage change was 5.07% (95% CI: 4.35–5.79, P<0.05). Figure 2 presents the annual age-adjusted incidence between 2004 and 2015.

Figure 2 Age-adjusted incidence rate of appendiceal cancer between 2004 to 2015.

Patient characteristics

A total of 2,891 cases which met the selection criteria were included in the study. Patients were divided into the following age groups: under 35 years old (n=392, 13.6%), 35 to 69 years old (n=1,918, 66.3%), and over 69 years old (n=581, 20.1%). There were more female (54.1%) than male patients. White was the largest racial group, accounting for 82.3% of patients, and most patients were married (n=1661, 57.5%). Malignant carcinoid was the most common histologic type (42.9%), followed by mucinous adenocarcinoma (25.6%), colonic-type adenocarcinoma (21.4%), SRCC (5.6%), and neuroendocrine neoplasm (4.4%). Among the 2197 (76%) cases with an available differentiation degree, 971 cases (33.6%) were well differentiated (grade I), 793 cases (27.4%) were moderately differentiated (grade II), 376 cases (13.0%) were poorly differentiated (grade III), and 57 cases (2.0%) were undifferentiated (grade IV). In terms of disease stage, localized, regional, and distant tumors accounted for 45.7%, 29.9%, and 24.4% of all cases, respectively. Of the 2,891 patients included in the study, 881 (30.5%) received chemotherapy.

The proportion of patients who received chemotherapy differed significantly according to age (P<0.001), race (P=0.019), marital status (P<0.001), tumor size (P<0.001), histologic type (P<0.001), pathologic grade (P<0.001), and cancer stage (P<0.001). The majority of patients who received chemotherapy were aged 35 to 69 years old (80.8%), were White (87.8%), had histologic colonic-type or mucinous adenocarcinoma (72.4%), had tumors of grade II or III (58.8%)), and had distant metastasis (54.4%). Table 1 shows the detailed patient information.

Table 1

Correlation analysis of patient clinical characteristics and chemotherapy

Characteristics All patients, n (%) Chemotherapy, n (%) No chemotherapy, n (%) P value
Age at diagnosis, years <0.001
   <35 392 (13.6) 31 (3.5) 361 (18.0)
   35–69 1,918 (66.3) 712 (80.8) 1,206 (60.6)
   >69 581 (20.1) 138 (15.7) 443 (22.0)
Sex 0.891
   Female 1,563 (54.1) 478 (54.3) 1,085 (54.0)
   Male 1,328 (45.9) 403 (45.7) 925 (46.0)
Race 0.019
   Black 262 (9.1) 77 (8.7) 185 (9.2)
   White 2,379 (82.3) 729 (82.7) 1,650 (82.1)
   Other 218 (7.5) 73 (8.3) 145 (7.2)
   Unknown 32 (1.1) 2 (0.2) 30 (1.5)
Marital status <0.001
   Single 610 (21.1) 114 (12.9) 496 (24.7)
   Married 1,661 (57.5) 595 (67.5) 1,066 (53.0)
   Other 620 (21.4) 172 (19.5) 448 (22.3)
Tumor size, cm <0.001
   <3 1,356 (46.9) 209 (23.7) 1,147 (57.1)
   ≥3 845 (29.2) 403 (45.7) 442 (22.0)
   Unknown 690 (23.9) 269 (30.5) 421 (20.9)
Histologic type <0.001
   Colonic-type adenocarcinoma 620 (21.4) 269 (30.5) 351 (17.5)
   Mucinous adenocarcinoma 741 (25.6) 369 (41.9) 372 (18.5)
   Neuroendocrine neoplasm 126 (4.4) 8 (0.9) 118 (5.9)
   SRCC 163 (5.6) 103 (11.7) 60 (3.0)
   Malignant carcinoid 1,241 (42.9) 132 (15.0) 1,109 (55.2)
Grade <0.001
   I 971 (33.6) 178 (20.2) 793 (39.5)
   II 793 (27.4) 291 (33.0) 502 (25.0)
   III 376 (13.0) 227 (25.8) 149 (7.4)
   IV 57 (2.0) 40 (4.5) 17 (0.8)
   Unknown 694 (24.0) 145 (6.5) 549 (27.3)
Stage <0.001
   Distant 706 (24.2) 479 (54.4) 227 (11.3)
   Localized 1,321 (45.7) 92 (10.4) 1,229 (61.1)
   Regional 864 (29.9) 310 (35.1) 554 (27.6)

SRCC, signet ring cell carcinoma.

Survival analysis

The Kaplan-Meier log-rank test indicated that age (Figure 3A), race (Figure 3B), tumor size (Figure 3C), marital status (Figure 3D), grade (Figure 3E), histologic type (Figure 3F), stage (Figure 3G), and chemotherapy status (Figure 3H) were related to OS. Furthermore, the analysis showed that chemotherapy (P=0.055, Figure 3I) failed to extend the survival time of patients with distant metastases. For patients who received chemotherapy, the median OS was 65 months and the 5-year OS rate was 51.9%, which were poorer outcomes than those of patients who did not receive chemotherapy or whose chemotherapy status was unknown (median OS: not reached, 5-year OS: 78.9%). Table 2 shows more detailed survival data.

Figure 3 Kaplan-Meier survival analysis. Age (A), race (B), tumor size (C), marital status (D), grade (E), histologic type (F), stage (G), and use of chemotherapy (H) were related to OS. Chemotherapy use (I) was not associated with OS in patients with distant metastases. OS, overall survival.

Table 2

Median survival time and 5-year OS rate

Variable Median survival (months) 5-year OS rate (%)
Age at diagnosis, years
   <35 94.0
   35–69 73.2
   >69 55.0 47.5
Race
   Black 113.0 63.6
   White 172.0 97.7
   Other 63.8
   Unknown 96.3
Marital status
   Single 92.2
   Married 167 96.9
   Other 140 91.1
Tumor size, cm
   <3 97.2
   ≥3 88.0 93.0
   Unknown 140.0 91.6
Histologic type
   Colonic-type adenocarcinoma 89.0 90.8
   Mucinous adenocarcinoma 122 92.9
   Neuroendocrine neoplasm 84.6
   SRCC 38.0 63.2
   Malignant carcinoid 96.6
Grade
   I 95.9
   II 125.0 93.3
   III 39.0 85.1
   IV 32.0 34.2
   Unknown 74.7
Stage
   Distant 41.0 70.6
   Localized 92.9
   Regional 172.0 86.5
Chemotherapy
   Yes 65.0 51.9
   No/unknown 78.9

OS, overall survival; SRCC, signet ring cell carcinoma.

OS and CSS were analyzed using univariate and multivariable Cox proportional-hazards models. Cox regression univariate analysis showed that age, race, marital status, tumor size, histologic type, grade, and stage were all significant risk factors for OS (P≤0.001). Remarkably, treatment with chemotherapy was associated with a worse prognosis. The univariate analysis of CSS produced the same results. In multivariate OS analysis, age, race, histologic type, grade, stage, and chemotherapy status were all independent prognostic indicators. Moreover, these factors were also found to be independent predictors of CSS. Compared with that for Black patients, the risk of death for White patients was decreased by 31.8% (HR =0.682; 95% CI: 0.532–0.874). Also, chemotherapy (HR =1.321; 95% CI: 1.111–1.570) was revealed to be an independent indicator of poor prognosis. More detailed results from the univariate and multivariable analyses are shown in Tables 3,4.

Table 3

Univariate and multivariate analysis of prognostic factors associated with OS

Variable Univariate analysis Multivariate analysis
HR (95% CI) P value HR (95% CI) P value
Age at diagnosis, years <0.001 <0.001
   <35 Ref Ref
   35–69 4.569 (3.128–6.674) <0.001 2.147 (1.442–3.197) <0.001
   >69 10.828 (7.368–15.912) <0.001 5.259 (3.485–7.937) <0.001
Sex 0.436
   Female Ref NI
   Male 1.051 (0.928–1.190) 0.436
Race 0.001 0.026
   Black Ref Ref
   White 0.768 (0.626–0.943) 0.012 0.728 (0.590–0.899) 0.003
   Other 0.946 (0.710–1.260) 0.704 0.772 (0.576–1.034) 0.082
   Unknown 0.132 (0.033–0.536) 0.005 0.460 (0.113–1.881) 0.280
Tumor size, cm <0.001 0.180
   <3 Ref Ref
   ≥3 2.594 (2.227–3.022) <0.001 1.169 (0.990–1.381) 0.066
   Unknown 2.082 (1.770–2.448) <0.001 1.119 (0.941–1.331) 0.202
Marital status <0.001 0.491
   Single Ref Ref
   Married 1.519 (1.267–1.821) <0.001 0.916 (0.757–1.108) 0.364
   Other 1.749 (1.424–2.149) <0.001 0.987 (0.796–1.224) 0.907
Histologic type <0.001
   Colonic-type adenocarcinoma Ref Ref
   Mucinous neoplasm 0.842 (0.720–0.985) 0.032 0.690 (0.580–0.821) <0.001
   Neuroendocrine neoplasm 0.282 (0.178–0.449) <0.001 0.968 (0.595–1.573) 0.894
   SRCC 1.976 (1.599–2.443) <0.001 1.109 (0.883–1.393) 0.372
   Malignant carcinoid 0.335 (0.282–0.398) <0.001 0.657 (0.536–0.806) <0.001
Grade <0.001
   I Ref Ref
   II 2.440 (2.017–2.952) <0.001 1.794 (1.471–2.187) <0.001
   III 5.379 (4.408–6.564) <0.001 2.905 (2.318–3.640) <0.001
   IV 5.839 (4.082–8.350) <0.001 3.128 (2.159–4.533) <0.001
   Unknown 1.720 (1.404–2.107) <0.001 2.136 (1.721–2.652) <0.001
Stage <0.001
   Distant Ref Ref
   Localized 0.172 (0.146–0.202) <0.001 0.236 (0.194–0.287) <0.001
   Regional 0.390 (0.338–0.451) <0.001 0.425 (0.362–0.499) <0.001
Chemotherapy
   No/unknown Ref Ref
   Yes 2.577 (2.274–2.920) <0.001 1.220 (1.050–1.417) 0.009

OS, overall survival; HR, hazard ratio; 95% CI, 95% confidence interval; SRCC, signet ring cell carcinoma.

Table 4

Univariate and multivariate analysis of prognostic factors associated with CSS

Variable Univariate analysis Multivariate analysis
HR (95% CI) P value HR (95% CI) P value
Age at diagnosis, years <0.001 <0.001
   <35 Ref Ref
   35–69 4.700 (3.094–7.141) <0.001 1.477 (0.952–2.291) <0.001
   >69 9.994 (6.498–15.370) <0.001 3.058 (1.931–4.845) <0.001
Sex
   Female Ref NI
   Male 1.003 (0.867–1.161) 0.966
Race 0.002 0.025
   Black Ref Ref
   White 0.770 (0.606–0.979) 0.033 0.682 (0.532–0.874) 0.002
   Other 1.004 (0.723–1.394) 0.981 0.702 (0.502–0.982) 0.039
   Unknown 0.089 (0.012–0.637) 0.016 0.452 (0.064–3.392) 0.452
Tumor size, cm 0.180
   <3 Ref Ref
   ≥3 3.482 (2.891–4.194) <0.001 1.209 (0.991–1.474) 0.061
   Unknown 2.766 (2.267–3.375) <0.001 1.179 (0.955–1.454) 0.126
Marital status 0.902
   Single Ref Ref
   Married 1.714 (1.382–2.126) <0.001 0.971 (0.774–1.218) 0.799
   Other 1.773 (1.383–2.273) <0.001 1.010 (0.779–1.309) 0.939
Histologic type <0.001 <0.001
   Colonic-type adenocarcinoma Ref Ref
   Mucinous neoplasm 0.864 (0.724–1.032) 0.107 0.684 (0.563–0.830) <0.001
   Neuroendocrine neoplasm 0.179 (0.095–0.338) <0.001 0705 (0.365–1.363) 0.299
   SRCC 2.184 (1.732–2.755) <0.001 1.094 (0.854–1.403) 0.477
   Malignant carcinoid 0.224 (0.180–0.280) <0.001 0.519 (0.402–0.669) <0.001
Grade <0.001
   I Ref Ref
   II 3.181 (2.517–4.020) <0.001 2.213 (1.738–2.818) <0.001
   III 7.850 (6.182–9.969) <0.001 3.774 (2.888–4.932) <0.001
   IV 8.770 (5.938–12.951) <0.001 3.982 (2.654–5.976) <0.001
   Unknown 1.871 (1.444–2.42) <0.001 2.514 (1.912–3.305) <0.001
Stage <0.001
   Distant Ref Ref
   Localized 0.078 (0.062–0.099) <0.001 0.132 (0.101–0.172) <0.001
   Regional 0.325 (0.276–0.383) <0.001 0.391 (0.327–0.468) <0.001
Chemotherapy
   No/unknown Ref Ref
   Yes 3.912 (3.371–4.541) <0.001 1.321 (1.111–1.570) 0.002

CSS, cancer-specific survival; HR, hazard ratio; 95% CI, 95% confidence interval; SRCC, signet ring cell carcinoma.


Discussion

Primary appendiceal cancer often presents with symptoms similar to acute appendicitis, and postoperative pathology is the gold-standard test for its diagnostic confirmation (16-18). However, the prognosis of patients with primary appendiceal cancer after surgery and whether chemotherapy is required in these patients are unknown. Furthermore, as a rare tumor, primary appendiceal cancer can be more accurately assessed using a large database than by conducting a single-cohort study. Therefore, we aimed to identify factors that influence the postoperative prognosis of patients with primary appendiceal cancer using the SEER database.

One earlier study that used data from 2000 to 2009 reported that the incidence of primary appendiceal cancer was increasing annually, with the most common histologic type being mucinous adenocarcinoma (1). The present work similarly found that the incidence of primary appendiceal cancer continued to increase in the period under study, with the overall age-adjusted incidence rate per 100,000 population steadily increasing from 0.58 to 1.63 between 2004 and 2015. However, unlike the earlier study, we found that malignant carcinoid was the most common histologic type. Research has shown that the incidence of primary appendiceal cancer is higher in older people than in younger people (19). Consistent with this, our study found that patients aged 69 and over had the highest risk of death among all the age groups in the analysis. We also found that the risk of death was higher for Black patients than for White patients. In a previous study, McCusker et al. reported that the OS rate was significantly worse in patients with SRCC than in patients with other tumor types (15). Lowly differentiated adenocarcinoma and SRCC histopathology are negative prognostic indicators (20-23). In line with this, in our analysis, patients with low-grade tumors (grade 1 or 2), who accounted for 80.3% of patients whose histological grade was known, had a favorable prognosis.

In our study, the death risk was highest in patients with SRCC (HR =1.976; 95% CI: 1.599–2.443). Among patients who undergo colon cancer surgery, those with SRCC have a roughly 50% increased risk of death compared to those with classical adenocarcinoma (24).

For surgically resectable appendiceal cancer, cytoreductive surgery and hyperthermic intraperitoneal chemotherapy are widely accepted treatments (25). In terms of 5-year recurrence-free survival and 5-year OS, laparoscopic surgery is comparable to open surgery and can be considered as a treatment option for primary appendiceal cancer (26). Appendectomy alone offers a survival advantage over colectomy for patients with carcinoid tumors (27). Anti-vascular endothelial growth factor (anti-VEGF) agents should be seriously considered in the treatment of individuals with higher-grade appendiceal tumors who are not potential candidates for curative surgical resection (28). Previous studies have shown that chemotherapy benefits patients with appendiceal cancer who have high-grade or poorly differentiated tumors (29,30). However, there was no significant benefit from chemotherapy in analysis of all the patients included in this study. Furthermore, chemotherapy did not have a prolonged survival effect for patients with distant metastases. This observation was likely due to patients with “no chemotherapy” and “unknown” chemotherapy status being grouped together in the SEER database, which might have led to some deviation.

The inherent limitations of using data obtained from the SEER database were also limitations of this study. The SEER database does not provide detailed chemotherapy information such as drugs, dose, and duration; therefore, it is unclear whether the chemotherapy received by patients was given before, during, or after their surgery. Moreover, information regarding underlying diseases, genomics, postoperative complications and chemotherapy side effects is not available from the database.

Many clinical trials related to immunotherapy and targeted therapy in gastric and colorectal cancers have been conducted, and significant progress has been made in these areas. For example, the phase III ToGA (Trastuzumab for Gastric Cancer) trial found that the median OS of patients with HER2-positive locally advanced, recurrent, or metastatic gastric or gastroesophageal junction adenocarcinoma is improved by the addition of trastuzumab to first-line chemotherapy (31). At the 2020 ASCO Gastrointestinal Cancers Symposium, Boku et al. reported that the 3-year OS rate was higher in the nivolumab group than in the placebo group (5.6% vs. 1.9%) (32). As a result, nivolumab was approved in Japan as a third-line treatment for gastric cancer. As early as 2004, the United States Food and Drug Administration approved cetuximab, a monoclonal antibody targeted to epidermal growth factor receptor (EGFR), and bevacizumab, a humanized IgG monoclonal antibody targeted to VEGF-A, for the treatment of metastatic colorectal cancer (33,34). However, at present, the efficacy of these targeted agents against appendiceal tumors is unknown, and there is a lack of evidence from large clinical trials. Therefore, large-scale clinical trials for appendiceal cancer are required immediately.


Conclusions

Although primary appendiceal cancer is rare, an increasing trend in the incidence of appendiceal cancer occurred from 2004 to 2015. Age, race, tumor size, marital status, histologic type, grade, stage, and treatment with chemotherapy were found to significantly affect the postoperative prognosis of patients with primary appendiceal cancer. However, chemotherapy failed to prolong survival after surgery for patients with distant metastases. Although this was only a retrospective study and our findings are not conclusive, our results still provide valuable insight into the diagnosis of primary appendiceal cancer. In the immediate future, large clinical trials of chemotherapy and targeted therapy for appendiceal cancer are urgently needed.


Acknowledgments

Funding: This study was supported by the National Natural Science Foundation of China (Grant No. 82002479).


Footnote

Reporting Checklist: The authors have completed the STROBE reporting checklist. Available at https://jgo.amegroups.com/article/view/10.21037/jgo-22-454/rc

Conflicts of Interest: All authors have completed the ICMJE uniform disclosure form (available at https://jgo.amegroups.com/article/view/10.21037/jgo-22-454/coif). The 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. The study was conducted in accordance with the Declaration of Helsinki (as revised in 2013).

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/.


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(English Language Editor: J. Reynolds)

Cite this article as: Wang Y, Geng Y, Hu W. Survival and prognostic factors for postoperative primary appendiceal cancer: a retrospective cohort study based on the Surveillance, Epidemiology, and End Results database. J Gastrointest Oncol 2022;13(3):1433-1443. doi: 10.21037/jgo-22-454

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