Literature DB >> 29930885

Epidemiology and Survival of Esophageal Cancer Patients in an American Cohort.

Ammar Nassri1, Hong Zhu2, Mayssan Muftah3, Zeeshan Ramzan4.   

Abstract

Objectives This study seeks to delineate trends in esophageal cancer patients in an American cohort and, in particular, examine the impact of race and histology on survival. Methods The association between over 50 variables between histology and race subgroups was evaluated. Survival was calculated using Kaplan-Meier curves and a multivariable Cox regression analysis (MVA) was performed. Results Poorer survival was noted in black vs. white (193 ± 65 days vs. 254 ± 39, 95% CI 205-295, p=0.07) and squamous cell cancer (SCC) vs. adenocarcinoma (AC) (233 ± 24 days vs. 303 ± 48, 95% CI 197-339, p=0.01) patients. In patients with resectable cancer, blacks had poorer survival than whites (253 ± 46 days vs. 538 ± 202, 95% CI 269-603, p=0.03), and SCC had poorer survival than AC (333 ± 58 vs. 638 ± 152 days, 95% CI 306-634, p=0.006). A higher percentage of white patients received surgery compared to black patients (36% vs. 8%, p=0.08). MVA revealed that only surgery was an independent predictor of mortality (p=0.001). Conclusion Black race and SCC were associated with poorer survival. On MVA, surgery was an independent predictor of mortality. Clinicians should be aggressive in offering potentially curative procedures to patients and eliminating socioeconomic barriers.

Entities:  

Keywords:  epidemiology; esophageal cancer; ivor lewis esophagectomy; oncology; prognosis; surgery

Year:  2018        PMID: 29930885      PMCID: PMC6007500          DOI: 10.7759/cureus.2507

Source DB:  PubMed          Journal:  Cureus        ISSN: 2168-8184


Introduction

Esophageal cancer (EC) is one of the most common cancers diagnosed, with an estimated global incidence of 455,800 [1]. In the United States, it is estimated that there will be 17,290 new cases and 15,850 deaths in 2018 [2]. In addition to the rise in incidence over the past few decades [3], there appears to be a concurrent change in histological type, with studies reporting a 463% increase in the incidence of adenocarcinoma (AC) in Americans in 2000-2004 as compared to 1975-1979 [4]. Adenocarcinoma has replaced squamous cell carcinoma (SCC) as the most common type of esophageal carcinoma, in part due to an increase in risk factors for AC such as obesity and gastroesophageal reflux disease (GERD) [5]. The tumor biology of EC is still not fully understood, and patients with SCC have been shown to have significantly poorer survival than patients with AC [6]. Efforts at elucidating the underlying mechanisms as well as developing biomarkers for early detection and screening have proved daunting [7]. Moreover, there seems to be a racial disparity in survival between white and black patients with esophageal carcinoma for reasons that are still not fully clear, with the age-adjusted incidence and death for blacks almost twice that for whites [8]. This study uniquely analyzes symptoms and risk factors at presentation as well as various demographic, pathological, clinical, and laboratory variables. In addition to delineating trends in the presentation and treatment of esophageal cancer patients in an American cohort, it seeks to closely examine the impact of race and histology on survival in our veteran patient population.

Materials and methods

The variables assessed in the study are shown in Table 1.
Table 1

Variables Included in the Study

EMR: endoscopic mucosal resection; BMI: body mass index; WBC: white blood cell; ECOG: Eastern Cooperative Oncology Group

Demographic Variables Laboratory Values Clinical Variables Symptoms at Presentation Risk Factors Treatment
Age Albumin at Diagnosis Survival Days Hoarseness History of Alcohol Use Surgery
Race WBC at Diagnosis Age at Diagnosis Fatigue History of Tobacco Use EMR
Gender   Stage at Diagnosis Regurgitation History of GERD Symptoms Postop Adjuvant Therapy
BMI at Diagnosis   ECOG Functional Status Weight loss History of H pylori Neoadjuvant Therapy
   Histological Type Chest pain On PPI at time of Diagnosis Definitive Chemoradiation
   Anatomical Location of Cancer Dysphagia to solids History of Cholecystectomy Stent Placement
    Dysphagia to solids and liquids Prior Gastrectomy  Gastric/Jejunal Tube
    Heart Burn History of Atrophic gastritis Palliative Therapy
    Nausea/Vomiting History of Head/Neck Cancer Any Chemoradiation
    Hematemesis Family History  
    Hematochezia/Melena History of Achalasia  
    Anemia History of Esophagogastric Cancer  
    Abdominal Pain   
    Odynophagia   
    Neck mass   
    Abdominal mass   
      Neurological symptoms    

Variables Included in the Study

EMR: endoscopic mucosal resection; BMI: body mass index; WBC: white blood cell; ECOG: Eastern Cooperative Oncology Group Survival was calculated based on the date of pathological diagnosis obtained from pathology records and the date of demise and, where unavailable, a cutoff date of September 01, 2013 was used. Presenting complaints and risk factors were abstracted from the medical provider notes on the patient’s computerized charts. Laboratory values and demographic values were obtained on the date closest to pathological diagnosis durin­g that hospital admission. Eastern Cooperative Oncology Group (ECOG) scores and treatment regimen were abstracted from the oncology notes and the location of cancer from the endoscopy notes. The location of the cancer was obtained from the endoscopy notes, and a value of 30 cm from the incisors was used as the demarcation point between upper and lower tumors. The association between each clinical, demographic, and laboratory factor between subgroups was evaluated by Fisher’s exact test or the chi-square test for categorical variables, and by the two sample t-tests for continuous variables. Survival was calculated using Kaplan-Meier curves, and survival between groups was compared using the log-rank test. All analyses were performed using SPSS (IBM, Armonk, New York, United States). Statistical significance was determined at p ≤ .05. A p-value of <0.1 was considered marginally significant. This study was approved by the Institutional Review Board (IRB) at our institution.

Results

Demographics and epidemiology A total of 122 patients with esophageal cancer were identified. Their features are presented in Table 2.
Table 2

Demographics

BMI: body mass index; ECOG: Eastern Cooperative Oncology Group; EMR: endoscopic mucosal resection; GERD: gastroesophageal reflux disease; PPI: proton pump inhibitor; SEM: standard error of the mean; WBC: white blood cell

  n (SEM/%)   n (SEM/%)
Mean Age at Diagnosis (years) 64.0 (0.9) Interventions  
Mean Age at Demise (years) 65.1 (1.0) Surgery 19 (16%)
Sex   EMR 7 (6%)
Male  119 (97.5%) Postop Adjuvant Therapy 2 (2%)
Female 3 (2.5%) Neoadjuvant Therapy 25 (20.5%)
Race   Definitive Chemoradiation 25 (20.5%)
White 92 (75.4%) Stent Placement 26 (21.3%)
Black 25 (20.5%) Gastric/Jejunal Tube 51 (41.8%)
Hispanic  4 (3.3%) Palliative therapy 39 (32%)
Unknown  1 (0.8%) Risk Factors  
Mean Weight Diagnosis (lbs) 178.3 (4.6) Alcohol 90 (73.8%)
Mean BMI Diagnosis 26.0 (0.7) Tobacco 101 (82.8%)
Mean Albumin at Diagnosis (g/dl) 3.6 (0.06) GERD 53 (43.4%)
Mean WBC at Diagnosis (K/µL) 8.7 (0.3) H pylori 5 (4.1%)
Histology   On PPI 35 (28.7%)
Adenocarcinoma  75 (61.5%) Cholecystectomy 11 (9.0%)
Squamous Cell Carcinoma 41 (33.6%) Prior gastrectomy 0
Undifferentiated 6 (4.9%) Atrophic gastritis 0
Location   Head/Neck cancer 4 (3.3%)
Upper 32 (26.2%) Family history Esophageal cancer 7 (5.7%)
Lower 90 (73.8%) Achalasia 3 (2.5%)
Stage at Diagnosis   Prior Esophageal/Gastric cancer 4 (3.3%)
 I 18 (14.8%) Symptoms at Presentation  
 II 19 (15.6%) Hoarseness 8 (6.6%)
 III 26 (21.3%) Fatigue 17 (13.9%)
 IV 50 (41.0%) Regurgitation 22 (18%)
 Unknown 9 (7.4%) Weight loss 68 (55.7%)
ECOG at Diagnosis   Chest pain 14 (11.5%)
0 23 (18.9%) Dysphagia to solids 49 (40.2%)
1 39 (32.0%) Dysphagia to solids & liquids 37 (30.3%)
2 19 (15.6%) Heart burn 21 (17.2%)
3 17 (13.9%) Nausea/Vomiting 12 (9.8%)
4 3 (2.5%) Hematemesis 8 (6.6%)
Unknown 21 (17.2%) Hematochezia/Melena 12 (9.8%)
Survival ( days)   Anemia 7 (5.7%)
Mean 591 ±(76 ) Abdominal pain 9 (7.4%)
Median 253± (28 ) Odynophagia 14 (11.5%)
   Neck mass 1 (0.8%)
   Abdominal mass 1 (0.8%)
   Neurological symptoms 1 (0.8%)

Demographics

BMI: body mass index; ECOG: Eastern Cooperative Oncology Group; EMR: endoscopic mucosal resection; GERD: gastroesophageal reflux disease; PPI: proton pump inhibitor; SEM: standard error of the mean; WBC: white blood cell The mean age was 64 ± 0.9 years and the mean body mass index (BMI) at diagnosis was 26 ± 0.7. The cohort was predominantly male (97.5%) and white (75.4%). AC was found in 61.5% of the patients and 33.6% had SCC. The majority of the cancers were in the lower esophagus (73.8%) as compared to the upper esophagus (26.2%). The patients presented mostly with advanced stage carcinoma with almost half (41%) presenting with metastatic disease. The vast majority of patients had a documented history of tobacco (82.8%) and alcohol (73.8%) use. A significant number also had gastroesophageal reflux disease (GERD) (43.4%), whereas only 28.7% were on a proton pump inhibitor. The most common complaint at presentation was weight loss (55.7%) followed by dysphagia to solids (40.2%). In terms of interventions, 41.8% patients received a gastric or jejunal feeding tube, 21.3% received esophageal stents, 15.6% patients had an esophagectomy, and 66.4% patients received some form of chemotherapy or radiation. Survival On a Kaplan-Meier analysis, overall median survival for the entire cohort was 253 ± 28 days. Histology When the cohort was stratified by histology, patients with AC had longer median survival than those with SCC (303 ± 48 days vs. 233 ± 24, 95% CI 197-339, p=0.01). In patients with potentially resectable cancer (Stage I-III), SCC patients had significantly poorer survival than AC (333 ± 58 vs. 638 ± 152 days, 95% CI 306-634, p=0.006) Race When only black and white patients were compared, whites had a longer median survival (254 ± 39 vs. 193 ± 65 days, 95% CI 205-295, p=0.07). However, when black and whites with potentially resectable cancers (Stage I-III) were compared, there was a statistically significant difference in survival between whites and blacks (538 ± 202 vs. 253 ± 46 days, 95% CI 269-603, p=0.03). Stage As expected, there was an inverse relationship between stage of disease at presentation and survival with a median survival of 1447 ± 651 days, 402 ± 137 days, 292 ± 53 days, and 134 ± 35 days for Stage I, II, III, and IV patients, respectively (95% CI 199-307, p<0.0001). Resectability Patient survival was stratified by resectability. Stage IV patients were considered to have nonresectable tumors (NR). Patients that had potentially resectable disease (defined as Stage I-III) were grouped into patients that received an esophagectomy (R+SURG), endoscopic mucosal resection (R+EMR), and patients that did not receive surgical/endoscopic intervention (R-). Patients with an unknown stage were not included in the analysis. Patients with NR cancer had poorer survival compared to patients with resectable cancer (stage I-III) (134 ± 45 vs. 470 ± 84 days, 95% CI 193-343, p<0.0001). There was a clinically and statistically significant difference in survival between the NR (stage IV) group (134 ± 35 days) and resectable (I-III) groups (R-:364 ± 81 days, R+SURG: 733 ± 342 days, R+EMR: 2212 ± 625 days, p<0.0001). Among the group that was potentially resectable (stages I-III), the median survival for R- patients compared with patients who received any kind of surgical/endoscopic intervention (R+Surg and R+EMR) was 364 ± 81 days vs. 1044 ± 278 days (95% CI 193-343, p<0.0001). This data is represented in Figure 1.
Figure 1

Kaplan-Meier Survival Curves

Univariate analysis By Race A univariate analysis was conducted to elucidate any differences in any of the measured variables between white and black patients (Table 3).
Table 3

Univariate Analysis by Race

* mean (+SEM); BMI: body mass index; ECOG: Eastern Cooperative Oncology Group; EMR: endoscopic mucosal resection; GERD: gastroesophageal reflux disease; SEM: Standard error of the mean; WBC: white blood cells

  White (n=92) % Black (n=25) % p-value
Demographics & Clinical Variables      
Adenocarcinoma (AC) 70 76% 3 12% <0.0001
Squamous Cell Carcinoma (SCC) 18 20% 20 80%  
Upper Esophagus 21 23% 10 40% 0.08
Lower Esophagus 71 77% 15 60%  
Hypoalbuminemia 31 34% 8 32% 0.9
WBC* 9.0+0.4 . 7.5+0.5 . 0.6
Albumin * 3.64+0.07 . 3.46+0.1 . 0.2
Age* 64.4+1.1 . 63.6+2 . 0.7
BMI* 26.42+0.8 . 23.5+1.3 . 0.8
ECOG* 1.38+0.12 . 1.48+0.25 . 0.7
Stage I 13 14% 3 12% 0.6
Stage II 16 17% 2 8% .
Stage III 18 20% 7 28% .
Stage IV 39 42% 10 40% .
Interventions      
Surgery 17 18% 1 4% 0.1
EMR 5 5% 2 8% 0.6
Postop Adjuvant Therapy 1 1% 0 0% 0.8
Neoadjuvant Therapy 20 22% 5 20% 0.9
Definitive Chemoradiation 19 21% 6 24% 0.7
Stent Placement 19 21% 7 28% 0.4
Gastric/Jejunal Tube 40 43% 10 40% 0.8
Palliative therapy 29 32% 9 36% 0.7
Any Chemo/Rad 62 67% 17 68% 1.0
Risk Factors      
Alcohol 69 75% 18 72% 0.8
Tobacco 79 86% 20 80% 0.5
GERD 40 43% 10 40% 0.8
H pylori 4 4% 1 4% 0.7
On Proton Pump Inhibitor 24 26% 8 32% 0.6
Cholecystectomy 8 9% 2 8% 0.6
Prior Gastrectomy 0 0% 0 0% .
Atrophic Gastritis 0 0% 0 0% .
Head/Neck Cancer 3 3% 1 4% 0.6
Family History Esophageal Cancer 6 7% 1 4% 0.5
Achalasia 2 2% 1 4% 0.5
Prior Esophageal/Gastric Cancer 2 2% 1 4% 0.5
Symptoms at Presentation      
Hoarseness 7 8% 1 4% 0.5
Fatigue 16 17% 1 4% 0.1
Regurgitation 16 17% 6 24% 0.5
Weight Loss 51 55% 16 64% 0.4
Chest Pain 10 11% 4 16% 0.5
Dysphagia to Solids 32 35% 16 64% 0.008
Dysphagia to Solids and Liquids 32 35% 4 16% 0.1
Heart Burn 17 18% 3 12% 0.5
Nausea/Vomiting 9 10% 2 8% 0.6
Hematemesis 5 5% 2 8% 0.6
Hematochezia/Melena 7 8% 4 16% 0.2
Anemia 6 7% 0 0% 0.3
Abdominal Pain 8 9% 0 0% 0.2
Odynophagia 9 10% 5 20% 0.2
Neck Mass 0 0% 1 4% 0.2
Abdominal Mass 0 0% 1 4% 0.2
Neurological Symptoms 1 1% 0 0% 0.8

Univariate Analysis by Race

* mean (+SEM); BMI: body mass index; ECOG: Eastern Cooperative Oncology Group; EMR: endoscopic mucosal resection; GERD: gastroesophageal reflux disease; SEM: Standard error of the mean; WBC: white blood cells Hispanic patients were excluded due to low sample size. There were similar rates of smoking (86% vs. 80%, p=0.47) and alcohol use (75% vs. 72%, p=0.8) between whites and blacks. The majority of white patients presented with AC compared to black patients (76% vs. 12%, p<0.0001), whereas black patients were more likely to present with SCC compared to whites (80% vs. 20%, p<0.0001). Black patients with SCC compared to white patients with SCC had similar rates of alcohol (80% vs. 83%) and tobacco use (80% vs. 100%). There was no significant difference in the stage of presentation at diagnosis between races, with 62% of white patients presenting with advanced stage disease (III+IV) compared to 68% of black patients. A higher percentage of white patients received surgery compared to black patients (18% vs. 4%, p=0.1). Among patients with potentially resectable cancer, whites again received surgery more often than blacks (36% vs. 8%, p=0.08). Out of all variables assessed, only histology (AC: 12% black vs. 76% white, p<0.0001) and dysphagia to solids (64% black vs. 35% white, p=0.008) proved to be statistically significant between whites and blacks. By Histology A univariate analysis was conducted to elucidate any differences in any of the measured variables between patients with differing histological subtypes (Table 4).
Table 4

Univariate Analysis by Histology

* mean (+SEM); BMI: body mass index; ECOG: Eastern Cooperative Oncology Group; EMR: endoscopic mucosal resection; GERD: gastroesophageal reflux disease; SEM: standard error of the mean; WBC: white blood cell

  AC (n=75) % SCC (n=41) % p value
Demographic & Clinical Variables      
White 70 93% 18 44% <0.0001
Black 3 4% 20 49% .
Upper Esophagus 6 8% 24 59% <0.0001
Lower Esophagus 69 92% 17 41% .
Hypoalbuminemia 23 31% 16 39% 0.4
WBC * 8.5+0.3 . 8.91+4.6 . 0.6
Albumin * 3.7+0.1 . 3.4+0.1 . 0.3
Age* 64.2+1.2 . 65.0+1.7 . 0.7
BMI* 27.7+ 0.9 . 23.0 + 0.9 . 0.002
ECOG* 1.27 + 0.1 . 1.57+ 0.2 . 0.2
Stage I 13 17% 5 12% 0.2
Stage II 15 20% 4 10% .
Stage III 13 17% 13 32% .
Stage IV 31 41% 13 32% .
Interventions      
Surgery 16 21% 3 7% 0.07
EMR 5 7% 2 5% 0.5
Postop Adjuvant Therapy 2 3% 0 0% 0.5
Neoadjuvant Therapy 15 20% 9 22% 0.8
Definitive Chemoradiation 15 20% 10 24% 0.6
Stent Placement 12 16% 11 27% 0.1
Gastric/Jejunal Tube 30 40% 17 41% 0.9
Palliative Therapy 26 35% 9 22% 0.1
Any Chemo/Rad 52 69% 24 59% 0.2
Risk Factors      
Alcohol 53 71% 33 80% 0.2
Tobacco 62 83% 36 88% 0.5
GERD 35 47% 15 37% 0.3
H pylori 3 4% 2 5% 0.8
On Proton Pump Inhibitor 23 31% 10 24% 0.5
Cholecystectomy 9 12% 1 2% 0.1
Prior Gastrectomy 0 0% 0 0% .
Atrophic Gastritis 0 0% 0 0% .
Head/Neck Cancer 2 3% 2 5% 0.6
Family History Esophageal Cancer 6 8% 1 2% 0.4
Achalasia 0 0% 3 7% 0.04
Prior Esophageal/Gastric Cancer 3 4% 1 2% 0.6
Symptoms at Presentation      
Hoarseness 1 1% 6 15% 0.008
Fatigue 15 20% 2 5% 0.03
Regurgitation 14 19% 8 20% 0.9
Weight Loss 38 51% 26 63% 0.2
Chest Pain 8 11% 4 10% 0.6
Dysphagia to Solids 24 32% 22 54% 0.02
Dysphagia to Solids and Liquids 23 31% 13 32% 0.9
Heart Burn 14 19% 5 12% 0.4
Nausea/Vomiting 10 13% 2 5% 0.2
Hematemesis 6 8% 2 5% 0.7
Hematochezia/Melena 7 9% 5 12% 0.6
Anemia 5 7% 2 5% 0.5
Abdominal Pain 8 11% 1 2% 0.2
Odynophagia 6 8% 6 15% 0.3
Neck Mass 0 0% 1 2% 0.4
Abdominal Mass 1 1% 0 0% 0.6
Neurological Symptoms 1 1% 0 0% 0.6

Univariate Analysis by Histology

* mean (+SEM); BMI: body mass index; ECOG: Eastern Cooperative Oncology Group; EMR: endoscopic mucosal resection; GERD: gastroesophageal reflux disease; SEM: standard error of the mean; WBC: white blood cell Both smoking (83% vs. 88%, p=0.5) and alcohol use (71% vs. 80%, p=0.2) were equally prevalent in both the AC and SCC groups. There were fewer patients overall with SCC who underwent surgery compared with AC (7% vs. 21%, p=0.07). When looking at patients with potentially resectable cancers, fewer patients in the SCC group received surgery compared with the AC group (14% vs. 45%, p=0.02). There was no significant difference in interventions such as chemotherapy, radiation, enteral tube feeding, or esophageal stenting between AC and SCC patients (see Table 4). Of the patients in our cohort who had a history of achalasia, all presented had SCC. More patients with SCC complained of dysphagia to solids (p=0.02) and hoarseness (p=0.008) whereas more patients with AC presented complaining of fatigue (p=0.03). Patients with AC had a higher BMI at presentation compared with SCC (27.7+ 0.9 vs. 23.0 + 0.9, p=0.002). Multivariable analysis All variables with a univariate analysis p-value < 0.1 obtained on a comparison between the histology and race subgroups were included in a multivariable Cox regression analysis to elucidate predictors of mortality (Table 5).
Table 5

Variables Included in the Multivariate Model

Variables Univariate p value
Race <0.0001
Surgery 0.07
Histology <0.0001
Anatomic Location <0.0001
History of Achalasia 0.04
History of Cholecystectomy 0.1
Hoarseness 0.008
Fatigue 0.03
Dysphagia to Solids and Liquids 0.02
Of the variables included, only surgery (p=0.001) was statistically significant.

Discussion

Although there was a higher percentage of SCC in blacks as well as a poorer survival rate for SCC compared with AC, the multivariable analysis revealed that histology and race did not play a role in overall survival. The receipt of an esophagectomy was an independent predictor of survival. Esophagectomy for locally advanced esophageal cancer is currently the standard of care, and neoadjuvant chemoradiation has been shown in several studies to confer a survival advantage [8-10]. Definitive chemoradiation alone has generally not been recommended, although a recent Cochrane meta-analysis suggested that survival outcomes for definitive chemoradiation may be equal to surgery in SCC patients [11]. Several studies have suggested that surgical resection for esophageal cancer is underused [12], likely due to a combination of factors, including limited access to high-volume centers and patient reluctance to undergo surgery. In our study, on a Kaplan-Meier analysis, there was a statistically and clinically apparent survival benefit of receiving an esophagectomy (p<0.0001). However, in our cohort, there was a total of 52% patients that had potentially resectable tumors (R+ surgery/EMR), but less than half of them (41%) underwent resection. When analyzing causes for not receiving surgery in potentially resectable patients (R-) (Table 6), 16% of the patients were found to have cancer that advanced after neoadjuvant treatment that precluded them from surgery. Almost one-third of the patients (11/38, 29%) refused surgery and were treated solely with chemoradiation despite having a good (ECOG 0-1) functional status. Given the significant survival advantage in patients who received surgery, it seems prudent to be aggressive in offering surgery to patients early and highlighting the survival benefits clearly as well as identifying and eliminating potential socioeconomic barriers.
Table 6

Patients with Potentially Resectable Cancer: Reasons for Not Receiving Surgery

ECOG: Eastern Cooperative Oncology Group

Reason n=38 % (/38)
Tumors not amenable to surgery due to local invasion after neoadjuvant 6 16%
Tumor too locally advanced at diagnosis 3 8%
Later found to have metastases and plans for surgery were aborted 3 8%
Lost to follow-up 8 21%
Refused surgery/treated with chemoradiation despite good ECOG 11 29%
Poor performance status 4 11%
Previous gastrointestinal surgery that precluded esophagectomy 3 8%

Patients with Potentially Resectable Cancer: Reasons for Not Receiving Surgery

ECOG: Eastern Cooperative Oncology Group Although randomized prospective trials are lacking, the use of endoscopic methods instead of surgery for the treatment of early mucosal esophageal cancer have become ubiquitous, with EMR for T1a the most common approach in the United States and increasing in frequency for T1b tumors [13]. Observational studies have demonstrated equal survival rate at one, three, and five years for patients with T1a treated with either endoscopic resection or esophagectomy, although endoscopic therapy is associated with a slightly higher recurrence rate [14]. Similarly, when comparing patients with Stage I cancer who received endoscopic treatment vs. surgery in our study, there was no statistically significant difference in survival noted although this may have been secondary to the limited population size of this subgroup. Several population-based studies have reported a poorer survival of black patients compared to whites [15-17]. In earlier studies, this was sometimes proposed to be secondary to the increased incidence of SCC (which has poorer survival) in blacks. However, several epidemiological studies have demonstrated that there may be other factors at play. One study demonstrated worse five-year survival rates for blacks compared to whites (37% vs. 60%, p<0.001). However, on a multivariate analysis and controlling for histology among other factors, the relationship between race and survival was not significant when surgery was taken into consideration [15]. Similarly, a subsequent large analysis of the surveillance, epidemiology, and end results (SEER) database confirmed the disparity in survival and incidence in SCC between black and white patients. However, on a multivariate analysis, the survival disparity disappeared after adjusting for the receipt of esophagectomy [16]. Conversely, in a recent study, Taoili et al. confirmed that blacks had a lower rate of esophagectomy; however, the differences in survival persisted even when adjusting for cancer-directed surgery. Interestingly, independent of stage, white and black patients who did not have surgery experienced similar survival, although among patients who did undergo surgery, there was still a poorer overall survival for blacks compared to whites [17]. Possible explanations for this disparity in esophagectomy rates among blacks may be poorer health care delivery, less access to specialized surgeons, poor access to high-volume centers, or secondary to patient refusal. It is also possible that a proportion of these cancers may be less resectable due to the preponderance of SCC in these patients, and thus the location of cancers in the mid-esophagus [15-18]. In our study, there was a significant difference in survival between white and black patients with potentially resectable cancers (Stage I-III), with whites surviving twice as long as blacks (median survival 538 ± 202 vs. 253 ± 46 days, p=0.03, 95% CI 269-603). When comparing overall survival rates between histology groups, we noted differences in survival, with AC patients having superior survival than SCC patients (303 ± 48 days vs. 233 ± 24, 95% CI 197-339, p=0.01). AC has been shown to have superior survival to SCC in the literature [19-20]. In one study that evaluated survival between AC and SCC patients who underwent curative resection, the five-year survival rate was 42.3% vs, 30.3%, p<0.01. This disparity in survival was consistent even in patients who had a complete macroscopic and microscopic resection as well as negative lymph nodes (R0N0) [21]. This poorer survival may be secondary to the higher rate of occult micro-metastases [21], the histology-specific aggressiveness of cancer, or other confounding factors and exposure relating to the patient population, including race. In our study, almost 80% of blacks presented with SCC compared with 20% of whites (p<0.0001). The higher incidence of SCC in blacks compared to whites has been documented in large population studies [7], but the causes are not fully apparent. Proposed etiologies have involved the lower socioeconomic class (SEC), lower intake of fruits and vegetables, and increased rates of alcohol and tobacco usage [22-23]. However, it is not clear why these factors, while definite risk factors for SCC, result in a higher incidence of SCC in blacks compared with whites. It may be secondary to increased amounts of tobacco and alcohol consumed compared to whites, something hard to accurately quantify in large studies. Furthermore, while lower SEC has been reported to be a risk factor in many studies [22,24-25], it is not exactly clear what the underlying exposures causing these associations are, as low SEC can be considered a surrogate for various lifestyle and environmental exposures, including poor nutrition, poor access to health care, and poor housing [22]. Underlying genetic polymorphisms and race-specific genetic susceptibility may prove to play a significant role in the pathogenesis of SCC. Many recent studies have found various single nucleotide polymorphisms (SNPs) in micro RNA (miRNA) sequences in SCC patients compared with controls [26-27]. These mutations, under the potential effects of factors like alcohol and tobacco, may lead to an alteration of miRNA expression and contribute to carcinogenesis. Others have reported polymorphic mutations in genes coding for metabolic enzymes, Deoxyribonucleic acid (DNA) repair enzymes and cytokines, which may contribute toward SCC susceptibility [28-30]. While the majority of these studies were done investigating the particularly high incidence of SCC in China and the so-called “esophageal cancer belt,” it may help to explain the increased incidence of SCC in blacks compared to whites. This study benefits from several strengths. To our knowledge, this is the only cohort of esophageal cancer patients in the United States where such detailed variables, such as potential risk factors and symptoms at presentation, were included, in addition to various laboratory clinical and pathological data across all stages and treatment modalities. In addition, this study’s detailed survival analysis presented in days and stratified by various variables gives providers a better idea of realistic median survival as compared to the five-year survival rates presented elsewhere in the literature. All patients in this cohort were veterans and the VA North Texas Health Care System (VANTHCS) was their primary hospital. All follow-up and treatment were conducted there. This fact, along with the comprehensive and centralized computerized health records, allowed us to collect accurate data endpoints and calculate reliable survival times. There were a few weaknesses in this study. First, the cohort was of a relatively small sample size and the findings must be interpreted in light of the inherent bias in a retrospective study with a sample of this size. Our population was predominantly male, and of white or black race, and findings cannot be generalizable to other races or women. In addition, it is possible that our patient population had a higher incidence of baseline risks factors (e.g. smoking), which may affect our findings and make them not generalizable to other patient populations.

Conclusions

In conclusion, there was a significant difference in survival between AC and SCC patients and between White and Black patients with resectable cancer. However, histology and race did not play a role in survival when other factors were controlled in a multivariate analysis. Surgery was found to be an independent predictor of mortality. Given the improved survival benefit of surgery as well as its underuse, clinicians should be more aggressive in offering potentially curative esophagectomies to patients.
  30 in total

1.  Surgical resection for locoregional esophageal cancer is underutilized in the United States.

Authors:  Attila Dubecz; Boris Sepesi; Renato Salvador; Marek Polomsky; Thomas J Watson; Daniel P Raymond; Carolyn E Jones; Virginia R Litle; Juan P Wisnivesky; Jeffrey H Peters
Journal:  J Am Coll Surg       Date:  2010-10-25       Impact factor: 6.113

2.  Cancer statistics, 2018.

Authors:  Rebecca L Siegel; Kimberly D Miller; Ahmedin Jemal
Journal:  CA Cancer J Clin       Date:  2018-01-04       Impact factor: 508.702

3.  Racial disparities in esophageal cancer treatment and outcomes.

Authors:  Alexander J Greenstein; Virginia R Litle; Scott J Swanson; Celia M Divino; Stuart Packer; Thomas G McGinn; Juan P Wisnivesky
Journal:  Ann Surg Oncol       Date:  2007-11-07       Impact factor: 5.344

Review 4.  The use of imaging and biomarkers in diagnosing Barrett's esophagus and predicting the risk of neoplastic progression.

Authors:  Zeeshan Ramzan; Ammar B Nassri; Sergio Huerta
Journal:  Expert Rev Mol Diagn       Date:  2014-05-16       Impact factor: 5.225

5.  Racial disparities in esophageal cancer survival after surgery.

Authors:  Emanuela Taioli; Andrea S Wolf; Marlene Camacho-Rivera; Andrew Kaufman; Dong-Seok Lee; Faiz Bhora; Raja M Flores
Journal:  J Surg Oncol       Date:  2016-02-11       Impact factor: 3.454

6.  Socioeconomic indicators, tobacco and alcohol in the aetiology of digestive tract neoplasms.

Authors:  M Ferraroni; E Negri; C La Vecchia; B D'Avanzo; S Franceschi
Journal:  Int J Epidemiol       Date:  1989-09       Impact factor: 7.196

7.  Underuse of esophagectomy as treatment for resectable esophageal cancer.

Authors:  E Carter Paulson; Jin Ra; Katrina Armstrong; Christopher Wirtalla; Francis Spitz; Rachel Rapaport Kelz
Journal:  Arch Surg       Date:  2008-12

8.  Treatment trends, risk of lymph node metastasis, and outcomes for localized esophageal cancer.

Authors:  Ryan P Merkow; Karl Y Bilimoria; Rajesh N Keswani; Jeanette Chung; Karen L Sherman; Lawrence M Knab; Mitchell C Posner; David J Bentrem
Journal:  J Natl Cancer Inst       Date:  2014-07-16       Impact factor: 13.506

Review 9.  Epidemiology of esophageal cancer.

Authors:  Yuwei Zhang
Journal:  World J Gastroenterol       Date:  2013-09-14       Impact factor: 5.742

10.  Are racial differences in squamous cell esophageal cancer explained by alcohol and tobacco use?

Authors:  L M Brown; R N Hoover; R S Greenberg; J B Schoenberg; A G Schwartz; G M Swanson; J M Liff; D T Silverman; R B Hayes; L M Pottern
Journal:  J Natl Cancer Inst       Date:  1994-09-07       Impact factor: 13.506

View more
  9 in total

1.  Modified Docetaxel, Cisplatin, and Fluorouracil (mDCF) as a Neoadjuvant Chemotherapy for Non-metastatic Esophageal Cancer (nMEC).

Authors:  Adedayo A Onitilo; Trista J Stankowski-Drengler; Oyewale Shiyanbola; Jessica Engel; Sabo Tanimu; Seth O Fagbemi; Ya-Huei Li
Journal:  Clin Med Res       Date:  2021-03-31

Review 2.  Endoscopic Screening for Barrett's Esophagus and Esophageal Adenocarcinoma: Rationale, Candidates, and Challenges.

Authors:  Amrit K Kamboj; David A Katzka; Prasad G Iyer
Journal:  Gastrointest Endosc Clin N Am       Date:  2020-10-21

3.  Vacuolar H+-ATPase Subunit V0C Regulates Aerobic Glycolysis of Esophageal Cancer Cells via PKM2 Signaling.

Authors:  Sung Wook Son; Gia Cac Chau; Seong-Tae Kim; Sung Hee Um
Journal:  Cells       Date:  2019-09-24       Impact factor: 6.600

4.  Racial and ethnic disparities in mortality from gastric and esophageal adenocarcinoma.

Authors:  Monika Laszkowska; Angela C Tramontano; Judith Kim; M Constanza Camargo; Alfred I Neugut; Julian A Abrams; Chin Hur
Journal:  Cancer Med       Date:  2020-06-23       Impact factor: 4.452

5.  DEK overexpression is predictive of poor prognosis in esophageal squamous cell carcinoma.

Authors:  Huochun Yi; Hongbing Duan; Wensheng Shi; Zhengjin Liu; Yali Liu
Journal:  Arch Med Sci       Date:  2019-04-05       Impact factor: 3.318

6.  Chemotherapy predictors and a time-dependent chemotherapy effect in metastatic esophageal cancer.

Authors:  Lauren Midthun; Sungjin Kim; Andrew Hendifar; Arsen Osipov; Samuel J Klempner; Joseph Chao; May Cho; Michelle Guan; Veronica R Placencio-Hickok; Alexandra Gangi; Miguel Burch; De-Chen Lin; Kevin Waters; Katelyn Atkins; Mitchell Kamrava; Jun Gong
Journal:  World J Gastrointest Oncol       Date:  2022-02-15

Review 7.  Effects of Ion-Transporting Proteins on the Digestive System Under Hypoxia.

Authors:  Yiwei Xiang; Dongdong Fan; Qimin An; Ting Zhang; Xianli Wu; Jianhong Ding; Xiaolin Xu; Gengyu Yue; Siqi Tang; Qian Du; Jingyu Xu; Rui Xie
Journal:  Front Physiol       Date:  2022-09-14       Impact factor: 4.755

8.  Neoadjuvant strategies in resectable carcinoma esophagus: a meta-analysis of randomized trials.

Authors:  Tarun Kumar; Esha Pai; Rajesh Singh; Neville J Francis; Manoj Pandey
Journal:  World J Surg Oncol       Date:  2020-03-21       Impact factor: 2.754

9.  Surveillance of Esophageal Cancer in the Republic of Uzbekistan from 2000 to 2018.

Authors:  Abror Yusupbekov; Mitsuro Kanda; Bekhzod Usmanov; Otabek Tuychiev; Sayfiddin Baymakov; Junichi Sakamoto; Akhrorbek Yusupbekov
Journal:  Asian Pac J Cancer Prev       Date:  2020-08-01
  9 in total

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