Esophageal cancer in young patients: does age affect treatment course and outcomes?
Original Article

Esophageal cancer in young patients: does age affect treatment course and outcomes?

Ethan Y. Song1^, Samer A. Naffouje2, Sabrina Saeed2, Alexander Glaser3, Miles Cameron4, Jacques Fontaine2, Luis Pena2, Mark Friedman2, Rutika Mehta2, Sarah E. Hoffe5, Jessica M. Frakes5, Jose M. Pimiento2

1University of South Florida Morsani College of Medicine, Tampa, FL, USA; 2Department of Gastrointestinal Oncology, Moffitt Cancer Center, Tampa, FL, USA; 3Department of Internal Medicine, University of South Florida College of Medicine, Tampa, FL, USA; 4University of Florida College of Medicine, Gainesville, FL, USA; 5Department of Radiation Oncology, Moffitt Cancer Center, Tampa, FL, USA

Contributions: (I) Conception and design: JM Pimiento; (II) Administrative support: None; (III) Provision of study materials or patients: J Fontaine, L Pena, M Friedman, R Mehta, SE Hoffe, JM Frakes, JM Pimiento; (IV) Collection and assembly of data: All authors; (V) Data analysis and interpretation: SA Naffouje, EY Song; (VI) Manuscript writing: All authors; (VII) Final approval of manuscript: All authors.

^ORCID: 0000-0001-8907-904X.

Correspondence to: Ethan Y. Song. USF Health Morsani College of Medicine, 12901 Bruce B Downs Blvd, Tampa, FL 33612, USA. Email: esong@usf.edu.

Background: Young patients with esophageal cancer (EC) are believed to have more aggressive disease, thus thought to have worse survival. Herein, we aim to study the impact of younger age on the short- and long-term outcomes of esophagectomy for EC.

Methods: Patients who underwent esophagectomy for EC at our institution between 1994–2019 were included. Age 50 was defined as the cutoff for “young” vs. “old”. Patients from each age group were propensity-score matched 1:1 to compare postoperative and survival outcomes.

Results: Our database reported 1,031 patients, 112 of whom were in the ‘young’ group. For the unmatched analysis, young patients were more likely to have squamous cell carcinoma, higher rates of locally advanced disease, and subsequently higher rates of neoadjuvant chemotherapy (79.5% vs. 68.3%; P=0.047). After matching for pre-treatment clinical factors, young patients were less likely to have pulmonary or cardiac complications after surgery, and three times more likely to receive AC despite matching for stage and response to treatment (26.7% vs. 7.9%; P=0.002). Then, we matched patients including receipt of AC to study survival. In the second match, median recurrence-free survival (RFS) for young patients was 49.0±26.0 vs. old 27.0±5.4 months (P=0.215). Median overall survival (OS) for young was 73.0±28.9 vs. old 31.0±6.3 months (P=0.073).

Conclusions: Young EC patients tend to present with more advanced disease. However, when matched for stage and response to therapies, young patients were three-times more likely to be offered AC. After adjusting for receipt of adjuvant therapy no difference was detected in RFS.

Keywords: Esophageal cancer (EC); adjuvant therapy; young patients


Received: 03 November 2020; Accepted: 25 February 2021; Published: 25 December 2021.

doi: 10.21037/aoe-20-92


Introduction

The incidence of esophageal cancer (EC) has been rising rapidly over the past 40 years (1-7). While EC is typically diagnosed in older patients in their sixth and seventh decades of life, there has been an evident uptrend within younger patients (2,6,7). This growth is particularly concerning as the prognosis for EC is poor, with 3- and 5-year survival rates ranging from 6–50% and 17–39%, respectively (1,8-13).

Within the literature, the common belief is that younger patients diagnosed with EC present at a later stage of the disease (2,3,7). A study by Boys et al. identified that patients under 40 were more likely to present at a later stage than those over 40 years and had a shorter median overall survival (OS) (2). It is also hypothesized that these patients may experience longer delays from their onset of symptoms to work-up of their cancer than older counterparts. Additionally, it has also been reported than younger patient may have tumors that exhibit a more aggressive biology, all factors that call for more effective treatment options for the younger population.

Currently, the standard of care for locally advanced EC, as delineated by the CROSS trial, is neoadjuvant chemoradiation followed by surgical resection, which demonstrated a clear survival benefit over surgical resection alone (14). However, there is an active debate on whether age plays a role in treatment selection and outcomes. Our group, among others, has reported that chronologic age may not entirely be a contraindication to esophagectomy, as octogenarians have been shown to tolerate surgery (15-17). As the body of literature expands for the older population, clinical characteristics and outcomes for EC in the young have not been well described. In this study, we seek to compare stage at diagnosis, treatment modalities and outcomes for patients ≤50 vs. >50 years of age diagnosed with EC.

We present the following article in accordance with the STROBE reporting checklist (available at http://dx.doi.org/10.21037/aoe-20-92).


Methods

All patients diagnosed with EC and treated with an Ivor-Lewis esophagectomy between 1994 and 2019 at our institution were included in the database. The study was conducted in accordance with the Declaration of Helsinki (as revised in 2013). The study was approved by institutional ethics board of H. Lee Moffitt Cancer Center (MCC15030) and individual consent for this retrospective analysis was waived. Demographics, perioperative, and long-term follow up data were collected under an IRB-approved institutional protocol. Patients with other histologic diagnosis aside from squamous cell carcinoma and adenocarcinoma were not included in this analysis.

The appropriate age cutoff for determination of ‘young’ versus ‘old’ in cancer epidemiology is an area of ongoing debate. Although studies have used the cutoff of <40 years as a reference for adolescents and young adults (AYA) in line with the SEER reporting (2), there are several other studies have set the precedent of utilizing 50 years as an age cutoff based on the distribution of the patients’ age groups (18,19). Furthermore, current American Cancer Society epidemiology reports indicate a <10-fold probability of EC occurrence and mortality inpatients <50 years of age (20). In line with our institutional practice of recommending genetic testing for patients with a new diagnosis of EC, we believe that the age cutoff of 50 years would reasonably differentiate genetic origin or biologic behavior of disease. As such, for purposes of our analysis, we used age 50 as the set limit between ‘young’ (≤50) and ‘old’ (>50) to establish two comparative age groups.

Our institutional protocol involved early adoption of delivering neoadjuvant therapy (NAT) for patients with locally advanced gastroesophageal cancers beginning in 1994. Specifically, over the course of this study, NAT was given to patients with T2 or nodal positive disease as defined by CT, PET, or endoscopic ultrasound that was performed starting in 1994 and becoming more routine for all patients starting in 2000.

Postoperative complications defined in our study are in concordance with the basic platform of complications defined by the esophageal complications consensus group (ECCG) guidelines (21). In addition, failure to thrive was included as a complication, which is defined by the United States National Institute of Aging as a syndrome of global decline characterized by weight loss, inactivity, decreased appetite and poor nutrition, often accompanied by dehydration, depressive symptoms, impaired immune function, and low cholesterol (22).

The first aim was to compare the outcomes of young and old patients when matching for clinical characteristics and treatment modalities. Therefore, a propensity score was calculated based on a multivariate regression model including all the variables that could influence the decision on adjuvant chemotherapy (AC) except for the patients’ age group. Patients from each group were matched 1:1 using the nearest neighbor method with a caliper width of 0.1 standard deviations with a conditional exact matching for clinical stage. Conditional logistic regression was applied to compare categorical variables between the groups, and mixed effect modeling was used for continuous variables. A logistic regression analysis was also conducted for overall complications.

The second aim was to compare long-term outcomes between young vs. old patients with respect to administration of AC. The match process was re-applied with the addition of AC into the regression model. Cox regression analysis was performed to confirm the influence of age on recurrence-free survival (RFS) and OS. Matching on a ratio of 1:1 was repeated in an identical fashion. Kaplan-Meier method was used to compare RFS and OS using the log-rank test. Of note, the ‘event’ in RFS was defined as evidence of recurrence or death. Statistical significance was set at <0.05 throughout the study. IBM SPSS v25 (Armonk, NY) with R Essentials plug-in (version 3.3.3) was used to perform data analysis.


Results

Our database included 1,031 patients with EC who were treated with Ivor-Lewis esophagectomy. Mean age was 63.8±28.0 and 86.5% were males. Mean BMI was 28.0±5.6. Nine-hundred thirty-nine patients (91.1%) had adenocarcinoma, whereas the remaining 92 (8.9%) had squamous cell carcinoma. Six-hundred seventeen patients (59.8%) had distal EC and 414 (40.2%) were classified as esophagogastric junction (EGJ) cancers. Six-hundred thirty-eight (61.9%) received neoadjuvant chemotherapy and 619 (60.0%) received neoadjuvant radiation with a median dose of 5,040 cGy. One third of the esophagectomies were performed using minimally-invasive techniques. Median hospitalization was 10 days, overall morbidity (all grades) was 65.5% and thirty-day mortality was 2.6%. Table 1 summarizes the demographics and perioperative characteristics of our EC population treated with Ivor-Lewis esophagectomy.

Table 1

Comparison of young (≤50 years) vs. old (>50 years) patients treated with Ivor-Lewis esophagectomy in the unmatched and matched datasets

Variables Unmatched dataset Matched dataset 1:1
≤50 years >50 years SD P <50 years ≥50 years SD P
N 112 919 101 101
Sex 0.045 0.151 0.053 0.452
   Males 92 (82.1%) 800 (87.1%) 82 (81.2%) 86 (58.1%)
   Females 20 (17.9%) 119 (12.9%) 19 (18.8%) 15 (14.9%)
Race 0.079 0.163 0.091 0.796
   White 102 (91.1%) 882 (96.0%) 95 (94.1%) 96 (95.0%)
   Black 3 (2.7%) 7 (0.8%) 1 (1.0%) 2 (2.0%)
   Hispanic 4 (3.6%) 17 (1.8%) 2 (2.0%) 2 (2.0%)
   Asian 1 (0.9%) 4 (0.4%) 1 (.0%) 0 (0.0%)
   Other 2 (1.8%) 9 (1.0%) 2 (2.0%) 1 (1.0%)
BMI 27.42±5.90 28.06±5.53 0.052 0.149 27.59±5.92 28.03±5.59 0.044 0.415
CCI 0.111 0.012 0.074 0.891
   0 14 (12.5%) 48 (5.2%) 11 (10.9%) 11 (10.9%)
   1 19 (17.0%) 126 (13.7%) 16 (15.8%) 18 (17.8%)
   2 28 (25.0%) 212 (23.1%) 25 (24.8%) 30 (29.7%)
   3+ 50 (44.6%) 528 (57.5%) 48 (47.5%) 41 (40.6%)
   Missing 1 (0.9%) 5 (0.5%) 1 (1.0%) 1 (1.0%)
Smoking 0.073 0.063 0.044 0.819
   No 41 (36.6%) 251 (27.3%) 36 (35.6%) 33 (32.7%)
   Yes 67 (59.8%) 648 (70.5%) 61 (60.4%) 65 (64.4%)
   Not reported 4 (3.6%) 20 (2.2%) 4 (4.0%) 3 (3.0%)
Histology 0.076 0.014 0.014 0.841
   Adenocarcinoma 95 (84.8%) 844 (91.8%) 86 (85.1%) 87 (86.1%)
   SCC 17 (15.2%) 75 (8.2%) 15 (14.9%) 14 (13.9%)
Clinical stage 0.134 0.004 0.000 1.000
   0 0 (0.0%) 16 (1.7%) 0 (0.0%) 0 (0.0%)
   I 10 (8.9%) 111 (12.1%) 10 (9.9%) 10 (9.9%)
   IIA 24 (21.4%) 173 (18.8%) 19 (18.8%) 19 (18.8%)
   IIB 10 (8.9%) 120 (13.1%) 10 (9.9%) 10 (9.9%)
   III 45 (40.2%) 335 (36.5%) 43 (42.6%) 43 (42.6%)
   IV 8 (7.1%) 15 (1.6%) 4 (4.0%) 4 (4.0%)
   Unstageable 15 (13.4%) 149 (16.2%) 15 (14.9%) 15 (14.9%)
Location 0.026 0.411 0.010 0.87
   Distal esophagus 63 (56.3%) 554 (60.3%) 58 (57.4%) 57 (56.4%)
   EGJ 49 (43.8%) 365 (39.7%) 43 (42.6%) 44 (43.6%)
Grade 0.082 0.071 0.050 0.300
   Well diff. 7 (6.3%) 79 (8.6%) 7 (6.9%) 9 (8.9%)
   Moderately diff. 50 (44.6%) 319 (34.7%) 45 (44.6%) 38 (37.6%)
   Poorly diff. 50 (44.6%) 426 (46.4%) 44 (43.6%) 45 (44.6%)
   Not reported 5 (4.5%) 95 (10.3%) 5 (5.0%) 9 (8.9%)
Neoadjuvant chemo 89 (79.5%) 627 (68.3%) 0.077 0.047 71 (70.3%) 70 (69.3%) 0.039 0.855
Neoadjuvant XRT 77 (68.8%) 542 (59.0%) 0.068 0.092 67 (66.3%) 70 (69.3%) 0.047 0.797
Response 0.076 0.109 0.057 0.882
   Complete response 26 (23.2%) 247 (26.9%) 24 (23.8%) 26 (25.7%)
   Partial response 36 (32.1%) 228 (24.8%) 32 (31.7%) 31 (30.7%)
   No response 18 (16.1%) 107 (11.6%) 14 (13.9%) 17 (16.8%)
   Not reported 32 (28.6%) 337 (36.7%) 31 (30.7%) 27 (26.7%)
Margin status 0.037 0.499 0.000 1.000
   Negative 100 (89.3%) 849 (92.4%) 94 (93.1%) 94 (93.1%)
   Positive 8 (7.1%) 44 (4.8%) 4 (4.0%) 4 (4.0%)
   Not reported 4 (3.6%) 26 (2.8%) 3 (3.0%) 3 (3.0%)
Surgical approach 0.064 0.038 0.086 0.218
   Open 85 (75.9%) 608 (66.2%) 75 (74.3%) 67 (66.3%)
   MIS 27 (24.1%) 311 (33.8%) 26 (25.7%) 34 (33.7%)
   Nodes retrieved 12.81±8.38 15.01±9.61 0.071 0.168 13.78±8.46 14.38±10.52 0.038 0.811

BMI, body mass index; CCI, Charlson Comorbidity Index; Chemo, chemotherapy; Diff., differentiated; EGJ, Esophagogastric junction; MIS, minimally invasive surgery; SCC, squamous cell carcinoma; SD, standard difference; XRT, radiation therapy.

One hundred and twelve patients fell in the young group and 919 in the old group. Upon comparison of the unmatched patients, there were statistically significant differences detected in histology, distribution of clinical stage, neoadjuvant treatment, and surgical approach. Young patients were more likely to have squamous cell carcinoma than old patients (15.2% vs. 8.2%; P=0.014), higher rates of locally advanced disease, and subsequently higher rates of neoadjuvant chemotherapy (79.5% vs. 68.3%; P=0.047). In addition, older patients were more likely to have minimally invasive Ivor-Lewis esophagectomy, likely as a reflection of their earlier stages at diagnosis. Presence of Barrett’s esophagus was not statistically significant between young and old groups for both unmatched (41.4% vs. 44.4%, P=0.838) and matched (42% vs. 40%, P=0.335) patients. In the unmatched patients, there was no significant difference between the young and old groups for positive nodes (1.37±2.43 vs. 1.02±2.44, P=0.160), but there was a significant difference in ratio (0.14±0.25 vs. 0.08±0.19, P=0.010). However, after matching, the ratio became insignificant between young and old groups (0.11±0.21 vs. 0.12±0.23, P=0.752).

The first propensity score was calculated as described above to include all the clinical, pathological and survival variables except the patients’ age group. One hundred and one patients were matched 1:1 from each group. The matched dataset demonstrated excellent balance as demonstrated by standard difference (SD) values <0.1 across all the variables and the significant differences resolved (P>0.05). Table 2 demonstrates the comparative analysis of the unmatched and matched datasets.

Table 2

Comparison of surgical outcomes and receipt of adjuvant chemotherapy in young (≤50 years) vs. old (>50 years) patients treated with esophagectomy in the matched dataset

Variables Young (≤50 years) Old (>50 years) HR (95% CI) P
N 101 101
Pneumonia 4 (4.0%) 10 (9.9%) 2.665 (0.807–8.797) 0.164
Aspiration 0 (0.0%) 7 (6.9%) 0.482 (0.417–0.558) 0.014*
Pulmonary effusion 9 (8.9%) 16 (15.8%) 1.924 (0.808–4.585) 0.199
ICU admission 8 (7.9%) 10 (9.9%) 1.277 (0.483–3.382) 0.806
Acute kidney injury 6 (5.9%) 5 (5.0%) 0.825 (0.243–2.794) 0.998
Ileus 1 (1.0%) 2 (2.0%) 2.020 (0.180–6.639) 0.561
Delayed gastric emptying 8 (7.9%) 7 (6.9%) 0.866 (0.302–2.484) 0.788
Myocardial infarction 0 (0.0%) 2 (2.0%) 0.895 (0.430–1.569) 0.155
Arrhythmia 5 (5.0%) 24 (23.8%) 5.984 (2.182–16.416) <0.001*
Atrial fibrillation 5 (5.0%) 10 (9.9%) 2.110 (0.695–6.410) 0.180
Deep venous thrombosis 1 (1.0%) 3 (3.0%) 3.061 (0.313–29.936) 0.621
Pulmonary embolism 3 (3.0%) 2 (2.0%) 0.660 (0.108–4.036) 0.651
Anastomotic leak 6 (5.9%) 9 (8.9%) 1.551 (0.530–4.535) 0.592
Severe reflux 6 (5.9%) 3 (3.0%) 0.474 (0.115–1.952) 0.328
Anastomotic stricture 13 (12.9%) 9 (8.9%) 0.646 (0.263–1.590) 0.373
Superficial wound infection 10 (9.9%) 9 (8.9%) 0.890 (0.346–2.293) 0.810
Bleeding requiring transfusion 1 (1.0%) 1 (1.0%) 1.000 (0.062–10.210) 1.000
Failure to thrive 6 (5.9%) 6 (5.9%) 1.000 (0.311–3.212) 1.000
Overall complications 64 (63.4%) 66 (65.3%) 1.090 (0.613–1.939) 0.883
Reoperation 6 (5.9%) 4 (4.0%) 0.653 (0.179–2.387) 0.748
Discharge on tube feeds 73 (72.3%) 76 (75.2%) 1.137 (0.558–1.987) 0.566
Discharge on TPN 1 (1.0%) 2 (2.0%) 1.011 (0.157–3.861) 0.513
30-day mortality 3 (3.0%) 3 (3.0%) 1.000 (0.197–5.076) 1.000
Receipt of adjuvant therapy 27 (26.7%) 8 (7.9%) 0.366 (0.108–8.294) 0.002*

*, statistically significant. HR, hazard ration; ICU, intensive care unit; TPN, total parenteral nutrition.

Upon comparison of postoperative outcomes in the matched dataset, rates of overall morbidity did not differ between young and old patients in the matched dataset (63% vs. 65%; P=883). Young patients were shown to have lower rates of aspiration (0% vs. 6.9%; P=0.014), lower rates of cardiac arrhythmia other than atrial fibrillation (5.0% vs. 23.8%; P<0.001), and were three times more likely to be offered AC despite identical clinical staging and response to NAT (26.7% vs. 7.9%; P=0.002). However, old patients demonstrated higher rates of aspiration (6.9% vs. 0%; P=0.014) and cardiac arrhythmia (23.8% vs. 5%; P<0.001) which are considered severe. Mortality was also similar between the groups (3% vs. 3%; P=1.000). By accounting for all major complications combined (Clavien-Dindo III/IV), no difference was noted between the two groups. No differences were noted in other pulmonary or cardiac complications, anastomotic leak or stenosis, overall morbidity, or mortality.

Table 3 shows the comparison between the young and old patients in the matched dataset matched for adjuvant therapies. Young patients had higher rates of stage IV (7.1% vs. 1.6%), and somewhat comparable rates of other stage distribution. However, a definitive conclusion could not be drawn on the more advanced disease presentation within the younger group. Variability in clinical stage was adjusted in the matched dataset to mitigate the impact of clinical stage on disease-free survival (DFS) and OS.

Table 3

Ivor-Lewis esophagectomy cohort matched for adjuvant therapies

Variables Unmatched dataset Matched dataset 1:1
≤50 years >50 years SD P <50 years ≥50 years SD P
N 112 919 92 92
Sex 0.045 0.151 0.029 0.697
   Males 92 (82.1%) 800 (87.1%) 75 (81.5%) 77 (83.7%)
   Females 20 (17.9%) 119 (12.9%) 17 (18.5%) 15 (16.3%)
Race 0.079 0.163 0.112 0.674
   White 102 (91.1%) 882 (96.0%) 87 (94.6%) 88 (95.7%)
   Black 3 (2.7%) 7 (0.8%) 1 (1.1%) 0 (0.0%)
   Hispanic 4 (3.6%) 17 (1.8%) 2 (2.2%) 2 (2.2%)
   Asian 1 (0.9%) 4 (0.4%) 1 (1.1%) 2 (2.2%)
   Other 2 (1.8%) 9 (1.0%) 1 (1.1%) 0 (0.0%)
BMI 27.42±5.90 28.06±5.53 0.052 0.149
CCI 0.111 0.012 0.053 0.916
   0 14 (12.5%) 48 (5.2%) 8 (8.7%) 7 (7.6%)
   1 19 (17.0%) 126 (13.7%) 15 (16.3%) 12 (13.0%)
   2 28 (25.0%) 212 (23.1%) 20 (21.7%) 21 (22.8%)
   3+ 50 (44.6%) 528 (57.5%) 49 (53.3%) 52 (56.5%)
   Missing 1 (0.9%) 5 (0.5%) 0 (0.0%) 0 (0.0%)
Smoking 0.073 0.063 0.039 0.263
   No 41 (36.6%) 251 (27.3%) 32 (34.8%) 28 (30.4%)
   Yes 67 (59.8%) 648 (70.5%) 57 (62.0%) 62 (67.4%)
   Not reported 4 (3.6%) 20 (2.2%) 3 (3.3%) 2 (2.2%)
Histology 0.076 0.014 0.062 0.397
   Adenocarcinoma 95 (84.8%) 844 (91.8%) 77 (83.7%) 81 (88.0%)
   SCC 17 (15.2%) 75 (8.2%) 15 (16.3%) 11 (12.0%)
Clinical stage 0.134 0.004 0 1.000
   0 0 (0.0%) 16 (1.7%) 0 (0.0%) 0 (0.0%)
   I 10 (8.9%) 111 (12.1%) 10 (10.9%) 10 (10.9%)
   IIA 24 (21.4%) 173 (18.8%) 19 (20.7%) 19 (20.7%)
   IIB 10 (8.9%) 120 (13.1%) 9 (9.8%) 9 (9.8%)
   III 45 (40.2%) 335 (36.5%) 38 (41.3%) 38 (41.3%)
   IV 8 (7.1%) 15 (1.6%) 3 (3.3%) 3 (3.3%)
   Unstageable 15 (13.4%) 149 (16.2%) 13 (14.1%) 13 (14.1%)
Location 0.026 0.411 0.076 0.300
   Distal esophagus 63 (56.3%) 554 (60.3%) 54 (58.7%) 47 (51.1%)
   EGJ 49 (43.8%) 365 (39.7%) 38 (41.3%) 45 (48.9%)
Grade 0.082 0.071 0.117 0.466
   Well diff. 7 (6.3%) 79 (8.6%) 7 (7.6%) 8 (8.7%)
   Moderately diff. 50 (44.6%) 319 (34.7%) 40 (43.5%) 36 (39.1%)
   Poorly diff. 50 (44.6%) 426 (46.4%) 40 (43.5%) 39 (42.4%)
   Not reported 5 (4.5%) 95 (10.3%) 5 (5.4%) 9 (9.8 %)
Neoadjuvant chemo 89 (79.5%) 627 (68.3%) 0.077 0.047 63 (68.5%) 57 (62.0%) 0.081 0.468
Neoadjuvant XRT 77 (68.8%) 542 (59.0%) 0.068 0.092 62 (67.4%) 57 (62.0%) 0.057 0.742
Response 0.076 0.109 0.091 0.530
   Complete response 26 (23.2%) 247 (26.9%) 25 (27.2%) 21 (22.8%)
   Partial response 36 (32.1%) 228 (24.8%) 29 (31.5%) 23 (25.0%)
   No response 18 (16.1%) 107 (11.6%) 10 (10.9%) 13 (14.1%)
   Not reported 32 (28.6%) 337 (36.7%) 28 (30.4%) 35 (38.0%)
Margin status 0.037 0.499 0.019 0.855
   Negative 100 (89.3%) 849 (92.4%) 86 (93.5%) 87 (94.6%)
   Positive 8 (7.1%) 44 (4.8%) 3 (3.3%) 3 (3.3%)
   Not reported 4 (3.6%) 26 (2.8%) 3 (3.3%) 2 (2.2%)
Surgical approach 0.064 0.038 0.036 0.625
   Open 85 (75.9%) 608 (66.2%) 67 (72.8%) 64 (69.6%)
   MIS 27 (24.1%) 311 (33.8%) 25 (27.2%) 28 (30.4%)
Nodes retrieved 12.81±8.38 15.01±9.61 0.071 0.168
Adjuvant therapy 33 (29.5%) 114 (12.4%) 0.150 <0.001 19 (20.7%) 21 (22.8%) 0.04 0.588

BMI, body mass index; CCI, Charlson Comorbidity Index; Chemo, chemotherapy; Diff., differentiated; EGJ, esophagogastric junction; MIS, minimally invasive surgery; SCC, squamous cell carcinoma; SD, standard difference; XRT, radiation therapy.

To study long-term survival outcomes, a second propensity score was performed using all the previous variables in addition to matching for the receipt of AC to reflect a similar treatment course. Ninety-two patients were matched from each group following the abovementioned matching conditions.

Logistic regression was performed for overall complications (Table 4), revealing that higher CCI, active smoking (P=0.032), and longer operations (P<0.001) are significant predictors of increased morbidity. Increasing age (P=0.077) showed a trend but did not reach significance in the univariate model. Cox regression analysis was also performed to confirm the influence of age on RFS and OS (Table 5). The significant predictors of RFS were clinical stage (P<0.001), postoperative morbidity (P=0.006), pathologic N+ disease (P<0.001), and AC (P=0.048), whereas the predictors of OS were age (P=0.001), higher CCI, higher clinical stage, postoperative morbidity (P=0.004), and N+ disease (P<0.001).

Table 4

Results of the univariate and multivariate logistic regression analysis for predictors of overall complications in our patient population

Variables Univariate analysis Multivariate analysis
Hazard ratio (95% CI) P Hazard ratio (95% CI) P
Age 1.012 (0.999–1.025) 0.077
Race
   White Referent
   Other 1.767 (0.888–3.515) 0.105
BMI 1.016 (0.992–1.040) 0.204
CCI
   0 Referent Referent
   1 1.753 (1.061–3.596) 0.032* 1.753 (1.190–3.414) 0.037*
   2 1.971 (1.116–4.483) 0.019* 1.987 (1.359–3.329) 0.018*
   3+ 2.599 (1.944–3.709) 0.001* 2.565 (1.877–3.791) 0.001*
   NR 0.879 (0.164–4.698) 0.88 0.201 –0.019–2.127) 0.182
Smoking
   No Referent Referent
   Yes 1.227 (1.024–1.629) 0.024* 1.230 (1.103–1.677) 0.032*
   Not reported 0.846 (0.363–1.970) 0.699 0.457 (0.149–1.405) 0.172
Histology
   Adenocarcinoma Referent
   SCC 0.890 (0.571–1.388) 0.608
Clinical stage
   0 N/A
   I Referent
   IIA 0. 775 (0.485–1.237) 0.285
   IIB 0.864 (0.515–1.449) 0.58
   III 0.716 (0.470–1.090) 0.119
   IV 0.801 (0.315–2.035) 0.641
   Unstageable 0.920 (0.563–1.504) 0.739
Location
   Distal esophagus Referent
   EGJ 0.882 (0.679–1.145) 0.346
Grade
   Well diff. Referent
   Moderately diff. 0.563 (0.221–1.432) 0.227
   Poorly diff. 0.546 (0.212–1.410) 0.212
   Not reported 0.433 (0.167–1.124) 0.085
Neoadjuvant chemo 1.131 (0.848–1.507) 0.402
Neoadjuvant XRT 0.989 (0.747–1.310) 0.939
Response
   Complete response Referent
   Partial response 0.874 (0.610–1.253) 0.465
   No response 0.805 (0.391–1.236) 0.124
   Not reported 0.898 (0.643–1.254) 0.527
Surgical approach
   Open Referent
   MIS 0.830 (0.373–1.441) 0.446
Operative time 1.002 (1.001–1.004) 0.002* 1.004 (1.002–1.005) <0.001*
Blood loss 1.001 (0.997–1.005) 0.983
Nodes retrieved 1.002 (1.985–1.019) 0.826

*, statistically significant. BMI, body mass index; CCI, Charlson Comorbidity Index; SCC, squamous cell carcinoma; EGJ, esophagogastric junction; MIS, minimally invasive surgery; XRT, radiation therapy.

Table 5

Results of the multivariate Cox regression analyses for predictors of RFS and OS in our patient population

Variables Multivariate Cox regression (RFS) Multivariate Cox regression (OS)
Hazard ratio (95% CI) P Hazard ratio (95% CI) P
Age 1.004 (1.002–1.005) 0.001*
Race
   White
   Other
BMI
CCI Referent
   0 1.102 (0.922–1.437) 0.437
   1 1.558 (1.285–1.992) 0.010*
   2 1.939 (1.648–2.312) 0.001*
   3+ 0.910 (0.258–3.228) 0.881
   NR
Smoking
   No
   Yes
   Not reported
Histology
   Adenocarcinoma
   SCC
Clinical Stage
   0 N/A N/A
   I Referent Referent
   IIA 1.519 (0.935–2.466) 0.091 1.589 (0.970–2.603) 0.066
   IIB 1.506 (0.844–2.688) 0.166 1.575 (0.871–2.848) 0.133
   III 2.605 (1.671–4.063) <0.001* 2.475 (1.570–3.903) <0.001*
   IV 3.271 (1.928–5.551) <0.001* 3.237 (1.890–5.544) <0.001*
   Unstageable 1.408 (0.484–4.094) 0.53 1.304 (0.448–3.798) 0.627
Location
   Distal esophagus
   EGJ
Grade
   Well diff.
   Moderately diff.
   Poorly diff.
   Not reported
Neoadjuvant chemo
Neoadjuvant XRT
Response
   Complete response
   Partial response
   No response
   Not reported
Surgical approach
   Open
   MIS
Nodes retrieved
Postop morbidity 1.474 (1.119–1.942) 0.006* 1.503 (1.136–1.988) 0.004*
Pathologic N status
   Node negative Referent Referent
   Node positive 2.155 (1.657–2.802) <0.001* 2.203 (1.682–2.885) <0.001*
   Missing 1.388 (0.193–9.986) 0.745 1.173 (0.163–8.448) 0.874
Adjuvant therapy 0.674 (0.448–0.998) 0.048*

*, statistically significant. BMI, body mass index; CCI, Charlson Comorbidity Index; SCC, squamous cell carcinoma; EGJ, esophagogastric junction; MIS, minimally invasive surgery; XRT, radiation therapy.

Kaplan-Meier method was followed to compare RFS and OS between these groups (Figure 1). The median length of follow up for the entire cohort was 32 months and did not differ between the young or the old groups (32 vs. 34 months; P=0.882). Young patients had comparable RFS (median 49.00±26.03 vs. 27.00±5.44 months; P=0.215) and a trend toward improved OS compared to their older counterparts (median 73.0±28.9 vs. 31.0±6.3 months; log-rank test P=0.073). Life tables suggest a comparable five-year cumulative OS between young vs. old patients (50% vs. 42%). Of note, the majority of recurrences in both age groups occurred within two years of the surgical resection.

Figure 1 Kaplan-Meier survival curves comparing outcomes between young (≤50 years) vs. old (>50 years) patients treated with Ivor-Lewis esophagectomy in the matched dataset. (A) Recurrence-free survival. Median RFS for young patients 49.00±26.03 months vs. old 27.00±5.44 months; mean OS for young patients 122.08±13.45 vs. old patients 86.53±11.23 months; log-rank test P=0.215. (B) Overall survival. Median OS for young patients 73.00±28.87 months vs. old patients 31.00±6.31 months; mean OS for young patients 130.46±13.35 vs. old patients 89.09±11.09 months; log-rank test P=0.073. RFS, recurrence-free survival; OS, overall survival.

Discussion

The incidence of EC is rising, more rapidly in younger than older patients (2,3,9,23). Previously, it has been suggested that younger patients have a later stage at diagnosis and subsequently have worse outcomes (2,3,7). A SEER analysis from 2004–2013 of EC patients <50 years of age reported a higher likelihood of presenting with stage III/IV disease compared to the older group (23). Similarly, a study of a nationwide cancer registry in the Netherlands from 2000 to 2011 by van Nistelrooij et al. identified that EC patients ≤50 years of age presented with more advanced disease stage (19). Younger patients in their cohort also presented with more positive lymph node status (70.1% vs. 66.4%, P=0.010) and distant metastasis (50.5% vs. 44.7%, P=0.047). Hashemi et al. suggests that this delay in diagnosis may be due to a postponement of invasive diagnostic measures in young patients presenting with common symptoms such as dysphagia (7). Similarly, our analysis shows that younger patients indeed present with more advanced disease as they had higher rates of stage III/IV disease, and subsequently higher rates of receipt of NAT.

Postoperative morbidity and complications have been associated with poorer outcomes. In a Swedish prospective population-based study of 275 esophageal patients, Viklund and colleagues analyzed risk factors for complications after resection. Although patient age was not a significant risk factor for developing postoperative complications, pulmonary and cardiac complications were most common (24). Similarly, we find that age does not play a role in overall complication rate (63.4% vs. 65.3%, P=0.883). However, older patients were more likely to have aspiration (0% vs. 6.9%, P=0.014) and cardiac arrhythmia (5.0% vs. 23.8%, P<0.001).

In the same nationwide study by van Nistelrooij et al., they assessed clinical outcomes between patients ≤50 and >50 years of age. Although they did identify that younger patients with EC underwent surgery with or without NAT more often as compared to patients >50 years (40.6% vs. 37.9%, P=0.047), there were no significant differences in 5-year survival rates after resection (37.6% vs. 34.1%, P>0.05) (19). Given the advanced tumor staging in younger patients, more extensive therapeutic efforts are usually justified in clinical practice as younger patients tend to have less comorbidities and, therefore, are considered more fit to receive additional therapy. Our study demonstrates that, despite matching for clinical stage and receipt/response of neoadjuvant therapies, younger patients were three-times more likely to be offered AC over their older peers (26.7% vs. 7.9% P=0.002) even after having undergone NAT.

Recent studies have portended the use of AC after esophagectomy stemming from a historical use of perioperative chemotherapy. However, the utility of AC has been debated. Past studies have shown that AC offers improved survival to patients with residual nodal disease (25-28). A NCDB study identified 2,046 esophageal adenocarcinoma patients with lymph node metastases after NAT and esophagectomy, 295 of which received adjuvant therapy. In this propensity-matched cohort, the median survival was 2.6 years with adjuvant therapy and 2.0 years with observation only (28). These results are contrasted by those found by Yerramilli et al., who in a retrospective study of 81 patients, treated with or without chemotherapy following neoadjuvant chemoradiation and esophagectomy found that there were similar rates of three-year OS and RFS (74% vs. 70% and 60% vs. 64%, respectively) (29). Patients who experienced a complete pathologic response (pCR) on final specimen followed by AC had improved three-year OS, but this was not statistically significant. Another study by Pouliquen et al. examined the utility of 5-FU and cisplatin following esophagectomy for squamous cell carcinoma. There was no significant difference in overall survival between the group receiving chemotherapy after surgery compared to those receiving surgery alone (30). Moreover, patients undergoing AC displayed greater renal, neurologic, and hematologic toxicity. Our analysis shows that administration of AC did not necessarily lead to better RFS. While there is a trend towards improved OS in the younger cohort, the survival curves have split far out from surgery, which suggests an age effect rather than disease specific survival. Furthermore, our group has previously found that even when controlling for multiple patient characteristics such as nodal involvement, administration of AC did not provide a survival benefit in all age groups (31). Given the contradicting conclusions, the role of postoperative chemotherapy remains uncertain and requires further elucidation.

There are a few possible explanations for the contradicting survival outcomes in younger patients. Younger patients may indeed have more aggressive tumor biology, as previously suggested, and a more aggressive therapy with the inclusion of AC was necessary to achieve survival outcomes comparable to older patients. Alternatively, there may not be a difference in tumor biology, in which case the additional AC treatment the younger patients received was without benefit. Furthermore, seeing an esophagectomy is a highly morbid procedure, even in younger patients, the addition AC may hinder their post-operative recovery, leading to a higher morbidity and negating the survival benefit of AC.

Naturally, our study has shortcomings including its retrospective and single institution nature, patient referral, selection bias, and long study period. Our institutional protocol on selecting for patients receiving adjuvant therapy may differ from other places and are not necessarily stated in NCCN guidelines. Nevertheless, it is important to note that despite these considerations, 55% of the young cohort and 63% of older cohort received all non-surgical therapy in the community setting, revealing additional practitioner and patient factors that cannot be adequately captured in a database. Furthermore, we did not explore additional risk factors that may be contributing to time of presentation, treatment options or disease progression. For example, factors such as reflux disease and diet may contribute to disease pathology. There may also be intrinsic genetic components to disease progression, which should be investigated in the future. Shifting focus more towards underlying molecular and genetic mechanisms contributing to both response to therapy and long-term outcomes may add granularity (32,33). Developing work has suggested that intratumoral heterogeneity can serve as a potential marker for better response to platinum-based therapy (33). Another challenge is that our surgical dataset is not properly equipped to answer why younger patients may present with more metastatic disease. This question may be better addressed using a NCDB analysis. Despite these limitations, the large power of our study allows us to better understand the natural course of EC. However, the most reliable method of further understanding the relationship between adjuvant therapy in young EC patients would be to perform a prospective study.

In summary, our study supports the notion that younger patients more often present with more advanced EC when compared to an older cohort (2,7,13). Despite matching for stages at presentation, younger patients were more likely to receive adjuvant therapy after esophagectomy compared to older patients, yet that did not necessarily equate to improved outcomes. It is our hope that future projects shed more light on outcomes for younger patients as well as identify more effective therapy options for them.


Conclusions

Younger patients with EC are three-times more likely to be offered AC even when matched for comorbidities, stage, and response to neoadjuvant therapies with their older peers. Survival analysis after matching for receipt of AC demonstrated no difference in RFS between young and old patients, suggesting that AC can be considered for older patients (>50 years) following the same judgment for the younger one, without accounting for chronological age as a limitation.


Acknowledgments

Material from this manuscript was presented at 14th Annual Academic Surgical Congress, Houston, TX.

Funding: None.


Footnote

Reporting Checklist: The authors have completed the STROBE reporting checklist. Available at http://dx.doi.org/10.21037/aoe-20-92

Data Sharing Statement: Available at http://dx.doi.org/10.21037/aoe-20-92

Peer Review File: Available at http://dx.doi.org/10.21037/aoe-20-92

Conflicts of Interest: All authors have completed the ICMJE uniform disclosure form (available at http://dx.doi.org/10.21037/aoe-20-92). JMP serves as an unpaid editorial board member of Annals of Esophagus from June 2020 to May 2022. The other authors have no conflicts of interest to declare.

Ethical Statement: The authors are accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved. The study was conducted in accordance with the Declaration of Helsinki (as revised in 2013). The study was approved by institutional ethics board of H. Lee Moffitt Cancer Center (MCC15030) and individual consent for this retrospective analysis was waived.

Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0/.


References

  1. Blot WJ, McLaughlin JK. The changing epidemiology of esophageal cancer. Semin Oncol 1999;26:2-8. [PubMed]
  2. Boys JA, Oh DS, Lewis JS, et al. Esophageal Adenocarcinoma in Patients Younger than 40 Years: A Two-Decade Experience at a Public and Private Hospital. Am Surg 2015;81:974-8. [Crossref] [PubMed]
  3. Portale G, Peters JH, Hsieh CC, et al. Esophageal adenocarcinoma in patients < or = 50 years old: delayed diagnosis and advanced disease at presentation. Am Surg 2004;70:954-8. [PubMed]
  4. Scott Bolton J, Wu TT, Yeo CJ, et al. Esophagectomy for adenocarcinoma in patients 45 years of age and younger. J Gastrointest Surg 2001;5:620-5. [Crossref] [PubMed]
  5. Pennathur A, Gibson MK, Jobe BA, et al. Oesophageal carcinoma. Lancet 2013;381:400-12. [Crossref] [PubMed]
  6. Pohl H, Sirovich B, Welch HG. Esophageal adenocarcinoma incidence: are we reaching the peak? Cancer Epidemiol Biomarkers Prev 2010;19:1468-70. [Crossref] [PubMed]
  7. Hashemi N, Loren D, DiMarino AJ, et al. Presentation and prognosis of esophageal adenocarcinoma in patients below age 50. Dig Dis Sci 2009;54:1708-12. [Crossref] [PubMed]
  8. Bosset JF, Gignoux M, Triboulet JP, et al. Chemoradiotherapy followed by surgery compared with surgery alone in squamous-cell cancer of the esophagus. N Engl J Med 1997;337:161-7. [Crossref] [PubMed]
  9. Eloubeidi MA, Mason AC, Desmond RA, et al. Temporal trends (1973-1997) in survival of patients with esophageal adenocarcinoma in the United States: a glimmer of hope? Am J Gastroenterol 2003;98:1627-33. [Crossref] [PubMed]
  10. Kelsen DP, Ginsberg R, Pajak TF, et al. Chemotherapy followed by surgery compared with surgery alone for localized esophageal cancer. N Engl J Med 1998;339:1979-84. [Crossref] [PubMed]
  11. Tepper J, Krasna MJ, Niedzwiecki D, et al. Phase III trial of trimodality therapy with cisplatin, fluorouracil, radiotherapy, and surgery compared with surgery alone for esophageal cancer: CALGB 9781. J Clin Oncol 2008;26:1086-92. [Crossref] [PubMed]
  12. Urba SG, Orringer MB, Turrisi A, et al. Randomized trial of preoperative chemoradiation versus surgery alone in patients with locoregional esophageal carcinoma. J Clin Oncol 2001;19:305-13. [Crossref] [PubMed]
  13. Walsh TN, Noonan N, Hollywood D, et al. A comparison of multimodal therapy and surgery for esophageal adenocarcinoma. N Engl J Med 1996;335:462-7. [Crossref] [PubMed]
  14. van Hagen P, Hulshof MC, van Lanschot JJ, et al. Preoperative chemoradiotherapy for esophageal or junctional cancer. N Engl J Med 2012;366:2074-84. [Crossref] [PubMed]
  15. Pultrum BB, Bosch DJ, Nijsten MW, et al. Extended esophagectomy in elderly patients with esophageal cancer: minor effect of age alone in determining the postoperative course and survival. Ann Surg Oncol 2010;17:1572-80. [Crossref] [PubMed]
  16. Ellis FH Jr, Williamson WA, Heatley GJ. Cancer of the esophagus and cardia: does age influence treatment selection and surgical outcomes? J Am Coll Surg 1998;187:345-51. [Crossref] [PubMed]
  17. Song EY, Frakes JM, Extermann M, et al. Clinical Factors and Outcomes of Octogenarians Receiving Curative Surgery for Esophageal Cancer. J Surg Res 2020;251:100-6. [Crossref] [PubMed]
  18. Donohoe CL, MacGillycuddy E, Reynolds JV. The impact of young age on outcomes in esophageal and junctional cancer. Dis Esophagus 2011;24:560-8. [Crossref] [PubMed]
  19. van Nistelrooij AM, van Steenbergen LN, Spaander MC, et al. Treatment and outcome of young patients with esophageal cancer in the Netherlands. J Surg Oncol 2014;109:561-6. [Crossref] [PubMed]
  20. Siegel RL, Miller KD, Jemal A. Cancer statistics, 2019. CA Cancer J Clin 2019;69:7-34. [Crossref] [PubMed]
  21. Low DE, Alderson D, Cecconello I, et al. International Consensus on Standardization of Data Collection for Complications Associated With Esophagectomy: Esophagectomy Complications Consensus Group (ECCG). Ann Surg 2015;262:286-94. [Crossref] [PubMed]
  22. Sarkisian CA, Lachs MS. "Failure to thrive" in older adults. Ann Intern Med 1996;124:1072-8. [Crossref] [PubMed]
  23. Zeng Y, Ruan W, Liu J, et al. Esophageal cancer in patients under 50: a SEER analysis. J Thorac Dis 2018;10:2542-50. [Crossref] [PubMed]
  24. Viklund P, Lindblad M, Lu M, et al. Risk factors for complications after esophageal cancer resection: a prospective population-based study in Sweden. Ann Surg 2006;243:204-11. [Crossref] [PubMed]
  25. Kim GJ, Koshy M, Hanlon AL, et al. The Benefit of Chemotherapy in Esophageal Cancer Patients With Residual Disease After Trimodality Therapy. Am J Clin Oncol 2016;39:136-41. [Crossref] [PubMed]
  26. Gao SJ, Park HS, Corso CD, et al. Role of Adjuvant Treatment in Esophageal Cancer With Incidental Pathologic Node Positivity. Ann Thorac Surg 2017;104:267-74. [Crossref] [PubMed]
  27. Burt BM, Groth SS, Sada YH, et al. Utility of Adjuvant Chemotherapy After Neoadjuvant Chemoradiation and Esophagectomy for Esophageal Cancer. Ann Surg 2017;266:297-304. [Crossref] [PubMed]
  28. Drake J, Tauer K, Portnoy D, et al. Adjuvant chemotherapy is associated with improved survival in patients with nodal metastases after neoadjuvant therapy and esophagectomy. J Thorac Dis 2019;11:2546-54. [Crossref] [PubMed]
  29. Yerramilli D, Sohal D, Teitelbaum UR, et al. Adjuvant chemotherapy after trimodality therapy in locally advanced esophageal cancer. J Clin Oncol 2014;32:144. [Crossref]
  30. Pouliquen X, Levard H, Hay JM, et al. 5-Fluorouracil and cisplatin therapy after palliative surgical resection of squamous cell carcinoma of the esophagus. A multicenter randomized trial. French Associations for Surgical Research. Ann Surg 1996;223:127-33. [Crossref] [PubMed]
  31. Saeed NA, Mellon EA, Meredith KL, et al. Adjuvant chemotherapy and outcomes in esophageal carcinoma. J Gastrointest Oncol 2017;8:816-24. [Crossref] [PubMed]
  32. Atay SM, Blum M, Sepesi B. Adjuvant chemotherapy following trimodality therapy for esophageal carcinoma-Is the evidence sufficient? J Thorac Dis 2017;9:3626-9. [Crossref] [PubMed]
  33. Findlay JM, Castro-Giner F, Makino S, et al. Differential clonal evolution in oesophageal cancers in response to neo-adjuvant chemotherapy. Nat Commun 2016;7:11111. [Crossref] [PubMed]
doi: 10.21037/aoe-20-92
Cite this article as: Song EY, Naffouje SA, Saeed S, Glaser A, Cameron M, Fontaine J, Pena L, Friedman M, Mehta R, Hoffe SE, Frakes JM, Pimiento JM. Esophageal cancer in young patients: does age affect treatment course and outcomes? Ann Esophagus 2021;4:35.

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