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. 2024 Aug 2;24:945. doi: 10.1186/s12885-024-12724-6

Reduction in chemotherapy relative dose intensity decreases overall survival of neoadjuvant chemoradiotherapy in patients with locally advanced esophageal carcinoma

Li Jiang 1,3, Jie Zhu 1, Xue Chen 1, Yi Wang 1, Lei Wu 1, Gang Wan 1, Yongtao Han 2, Xuefeng Leng 2, Jun Zhang 3,✉, Lin Peng 2,✉, Qifeng Wang 1,✉
PMCID: PMC11297780  PMID: 39095767

Abstract

Background

Many patients undergo dose reduction or early termination of chemotherapy to reduce chemoradiotherapy-related toxicity, which may increase their risk of survival. However, this strategy may result in underdosing patients with locally advanced esophageal squamous cell carcinoma (LA-ESCC). This study aimed to analyze the relationship between the relative dose intensity (RDI) and survival outcomes in patients with LA-ESCC.

Methods

This retrospective study assessed patients with LA-ESCC (cT2N + M0, cT3-4NanyM0) receiving neoadjuvant chemoradiotherapy (NCRT) with curative-intent esophagectomy. The patients received 2 courses of paclitaxel plus carboplatin (TC) combination radiotherapy prior to undergoing surgery. During NCRT, RDI was computed, defined as the received dose as a percentage of the standard dose, and the incidence of dose delays was estimated (≥ 7 days in any course cycle). The best RDI cutoff value (0.7) was obtained using ROC curve. The Kaplan–Meier survival curves were compared using the log-rank test, the treatment effect was measured using hazard ratios (HR) and 95% confidence intervals (CI).

Results

We included 132 patients in this study, divided into RDI < 0.7 and RDI ≥ 0.7 groups using cut-off value of 0.7. RDI grade was an independent prognostic factor for OS. Baseline demographic and clinical characteristics were well balanced between the groups. There was no evidence that patients with RDI < 0.7 experienced less toxicity or those with RDI ≥ 0.7 resulted in more toxicity. However, patients with RDI < 0.7 who were given reduced doses had a worse overall survival [HR 0.49, 95% CI 0.27–0.88, P = 0.015]. The risk of a lower RDI increased with a longer dose delay time (P < 0.001).

Conclusion

The RDI below 0.7 for avoiding chemoradiotherapy toxicity administration led to a reduction in the dose intensity of treatment and decreased overall survival.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12885-024-12724-6.

Keywords: Esophageal cancer (ESCC), Locally advanced esophageal cancer (LA-ESCC), Neoadjuvant chemoradiotherapy (NCRT), Paclitaxel plus carboplatin regimen (TC), Relative dose intensity (RDI), Adverse events (AEs), Overall survival (OS)

Introduction

Esophageal cancer ranks as the eighth most common form of malignancy and the sixth leading cause of cancer-related deaths globally [1]. In Asian countries, notably China and Japan, esophageal squamous cell carcinoma (ESCC) is the predominant histological subtype, with locally advanced disease being the most prevalent stage among newly diagnosed patients [2]. Neoadjuvant chemoradiotherapy (NRCT) has become established as the standard treatment approach for non-metastatic but locally advanced esophageal squamous cell carcinoma (LA-ESCC) with curative intent [3–5].

Since the publication of the CROSS trial, the paclitaxel plus carboplatin (TC) chemotherapy regimen has been extensively utilized in neoadjuvant chemoradiotherapy for LA-ESCC [6]. The TC regimen has gained considerable popularity owing to its minimal toxicity. Our retrospective analysis demonstrated that the TC regimen is a safe and effective (equivalent) alternative to the paclitaxel plus cisplatin (TP) regimen for NCRT in patients with LA-ESCC [7]. Over the past decade, the focus of NCRT is the efficacy and safety of different chemotherapy regimens [7, 8]; however, little research has been conducted on chemotherapy dose in NCRT for patients with LA-ESCC.

Relative dose intensity (RDI) has recently emerged as an important measure that reflects the tolerability and degree of adherence to chemotherapy regimens [9]. RDI is defined as the ratio of the received dose intensity to the prescribed dose intensity, measured as the amount of drug delivered per unit time [10]. Clinical evidence suggests that improved outcomes can be achieved by using standard chemotherapy regimens in a dose-dependent manner. Patients who receive higher dose intensities tend to experience improved overall survival (OS), progression-free survival (PFS), and disease-free survival compared to those who receive lower dose intensities than planned [11]. RDI less than 85% is considered to be a clinically significant reduction from standard or planned therapy [12]. However, dose delays and reductions are common methods for mitigating chemotherapy-induced side effects. Despite the fact that maintaining RDI is important to achieve improved outcomes, a substantial proportion of patients are administered less than 85% of the recommended dose, and research indicates that less than half of patients receive the 85% suggested RDI dose [13].

Sufficient chemotherapy dose improves the clinical outcomes of various malignancies [14, 15]. However, few studies have explored the optimal strategy for the dose intensity of NCRT chemotherapy in patients with LA-ESCC. To explore the rationale for chemotherapy RDI in ESCC, we retrospectively analyzed the survival and toxicity of TC chemotherapy regimens with different dose intensities as neoadjuvant treatment for patients with resectable LA-ESCC.

Method

Patients

We conducted a retrospective review of patients with LA-ESCC who underwent NCRT followed by surgery at Sichuan Cancer Hospital and Institute between May 2017 and June 2021. Inclusion criteria were as follows: (1) A resectable LA-ESCC (cT1-2N + M0 or cT3–cT4NanyM0) as determined by the American Joint Committee on Cancer8th edition [16]; (2) a score of 0 or 1 on the new Eastern Cooperative Oncology Group (ECOG) performance scale [17]; (3) following NCRT, resectional surgery was performed on patients; and (4) administration of TC chemotherapy regimen. Exclusion criteria were as follows: (1) prior treatment for primary tumors or nodes; (2) non-squamous cell carcinomas (including adenocarcinoma or small cell carcinoma); (3) patients who received chemotherapy alone, radiotherapy alone, or no treatment prior to surgery; and (4) patients did not complete standard chemotherapydue to personal reasons. The Institutional Review Board of Sichuan Cancer Hospital approved this retrospective study.

Chemoradiotherapy regimens

The chemotherapy regimen consisted of a paclitaxel dose of 135 mg/m2 (day 1), while carboplatin administered at an area under the curve of AUC = 4 mg/mL/min (day 1) at weeks one and four, spanning two cycles. Chemotherapy dosages and any necessary adjustments were determined under the supervision of medical oncologists. The delineation of the gross tumor volume (GTV) was based on clinical imaging modalities such as esophagoscopy, computed tomography (CT), and positron emission tomography-CT. In these 132 patients, 7 patients underwent positron emission tomography-CT. The clinical target volume (CTV) encompassed the GTV plus a 2–3 cm margin in the cranial-caudal direction and a 0.5 cm margin in the transverse plane, ensuring that the CTV boundary did not extend beyond anatomical constraints such as blood vessels. The median total radiotherapy dose was 40 Gy (2.0 Gy/fraction). Concurrently, intensity-modulated radiotherapy commenced with the initial chemotherapy cycle and continued for five days a week for 4–5 weeks of radiotherapy.

Calculation of relative dose intensity and dose delay

Dose intensity was defined as the amount of drug (paclitaxel at 135 mg/m2 and carboplatin at AUC = 4 delivered to a patient within a week of treatment. The achieved dose intensity was determined as the total dose of the individual drug received in the first two cycles for each individual agent per body surface area divided by the number of days from the beginning (cycle 1, day 1) to the end (cycle 2, day 21) of treatment for every patient. The RDI of paclitaxel and carboplatin was calculated for each patient using the following equation: actual dose intensity/standard dose intensity. The actual dose intensity was calculated by dividing the total dose delivered by the total chemotherapy duration. Average dose-intensity values for each individual drug and 95% confidence intervals (CIs) will not be detailed in this article. Statistical distributions of the RDI and treatment duration are provided. Dose delay was defined as the delay in the next treatment cycle by ≥ 7 days.

Efficacy evaluation

Effectiveness was evaluated through key metrics, including the pathological complete response (pCR) rate, R0 resection rate, OS, and PFS. pCR was defined as the absence of any residual invasive tumor in the surgical resection specimen (GR0). R0 was defined as microscopically negative surgical margins. Defined the quality of resection (R) using the surgical and pathological report, resection status was characterized as R0, R1 (microscopic tumor at any margin), and R2 (macroscopically incomplete resection). OS was calculated from the date of neoadjuvant therapy initiation to the date of death from any cause, or censored until the date of last follow-up. PFS was calculated from the start date of therapy to the date of progression or death, whichever is earlier. For PFS, chest chest CT or MRI or esophagoscopy scan were repeated at least every 3 to 6 months for 2 years, then every 12 weeks until disease progression. Laboratory blood examination were tested at each visit, including routine blood test, liver and renal function, coagulation tests and tumor markers were completely tested.

Statistical analysis

Statistical analyses were performed using the R software (R version 4.0.3; http://www.R-project.org, The R Foundation). The best RDI cut‐off value of 0.7 was obtained using the Cox proportional hazard model according to OS, R package involved: timeROC (for analysis), ggplot2 package (for visualization). Cut-off values to dichotomize the risk factors were calculated with receiver operating characteristics (ROC) curve analysis, with the best cutoff value selected from the point of the ROC curve with the shorter orthogonal distance to the optimum cutoff value. Meanwhile, LA-ESCC patients were classified into the RDI < 0.7 group and RDI ≥ 0.7 group based on the optimal cutoff from the ROC curve analysis. Univariate and multivariate Cox regression analyses were used to analyze the effects of risk factors and clinicopathological features on the prognosis of patients with LA-ESCC. Survival times were analyzed by Kaplan–Meier survival analysis using a log-rank test for curve comparisons. Continuous variables are presented as mean (SD) if normally distributed or median (interquartile range [IQR]) if not normally distributed. Categorical variables are expressed as counts (percentages). Comparisons were made using two-tailed unpaired Student’s t-tests and p values < 0.05 were considered statistically significant. Survival benefits were measured using hazard ratios (HR) and its 95% CI.

Result

Population characteristics

Among 321 eligible patients, 132 met the inclusion criteria. The median RDI was 0.74 (range 0.45–1.05). The ROC curve revealed 0.7 as the optimal cutoff value for the RDI. RDI was < 0.7% in 38.6% of the patients. Patients were split into two groups, with RDI < 0.7 and RDI ≥ 0.7 levels, according to the best cut-off value.

A total of 132 patients were assigned between July 7, 2017, and June 21, 2021, to the RDI < 0.7 (n = 51) or RDI ≥ 0.7 (n = 81) groups. Baseline characteristics (Table 1) were well balanced between the two groups. The majority of patients were ≤ 65 years (RDI < 0.7 group, 70.6%; RDI ≥ 0.7 group, 72.4%). There were more males than females (84.8% versus 15.2%), with a mean age of 59.9 ± 6.9 years. According to the TNM stage, most patients (73.9%) were classified as stage III. Based on clinical records, we further contrast comorbidities before the treatment such as diabetes, chronic obstructive pulmonary disease (COPD), hypertension, coronary heart disease (CHD) and hepatitis B mellitus were also investigated. There were no statistical difference in comorbidities between the RDI < 0.7 and RDI ≥ 0.7 groups (sTable 5).

Table 1.

Patient characteristics

Variables Total (n = 132) RDI < 0.7 (n = 51) RDI ≥ 0.7 (n = 81) P
Age, years, n(%) 0.779
  < 65 95 (72.0) 36 (70.6) 59 (72.8)
  ≥ 65 37 (28.0) 15 (29.4) 22 (27.2)
Sex, n (%) 0.174
 Male 112 (84.8) 46 (90.2) 66 (81.5)
 Female 20 (15.2) 5 (9.8) 15 (18.5)
BMI Grade, n (%) 0.763
  < 18.5 5 ( 3.8) 1 (2) 4 (4.9)
 18.5 ≤ BMI ≤ 24 82 (62.1) 33 (64.7) 49 (60.5)
  > 14 45 (34.1) 17 (33.3) 28 (34.6)
ECOG, n (%) 1
 0 120 (90.9) 46 (90.2) 74 (91.4)
 1 12 ( 9.1) 5 (9.8) 7 (8.6)
Smoking, n (%) 0.098
 Yes 87 (65.9) 38 (74.5) 49 (60.5)
 No 45 (34.1) 13 (25.5) 32 (39.5)
Drinking, n (%) 0.157
 Yes 86 (65.2) 37 (72.5) 49 (60.5)
 No 46 (34.8) 14 (27.5) 32 (39.5)
Tumor location, n (%) 0.173
 Uper 23 (17.4) 5 (9.8) 18 (22.2)
 Midle 45 (34.1) 18 (35.3) 27 (33.3)
 Lower 64 (48.5) 28 (54.9) 36 (44.4)
Clinical T stage, n (%) 0.075
 T2 6 ( 4.5) 0 (0) 6 (7.4)
 T3 109 (82.6) 44 (86.3) 65 (80.2)
 T4a 11 ( 8.3) 3 (5.9) 8 (9.9)
 T4b 6 ( 4.5) 4 (7.8) 2 (2.5)
Clinical N stage, n (%) 0.202
 N0 3 ( 2.3) 1 (2) 2 (2.5)
 N1 44 (33.3) 12 (23.5) 32 (39.5)
 N2 68 (51.5) 29 (56.9) 39 (48.1)
 N3 17 (12.9) 9 (17.6) 8 (9.9)
Stage, n (%)
 II 5 ( 3.8) 1 (2) 4 (4.9) 0.566
 III 96 (72.7) 36 (70.6) 60 (74.1)
 IVA 31 (23.5) 14 (27.5) 17 (21)

BMI Body mass index, ECOG Eastern Cooperative Oncology Group performance

Independent prognostic factor for OS and PFS

To study the prognosis-related factors, univariate and multivariate independent prognostic Cox analyses was performed. Univariate and multivariate analyses demonstrated that RDI grade was an independent prognostic factor for OS (HR = 0.513, 95% CI = 0.284–0.926, P = 0.027). None of the other factors such as age, sex, or ECOG score were independent predictors (P > 0.05) (Table 2). Supplementary Table 1 shows the univariate analysis for PFS. The results demonstrated that neither RDI nor other clinical characteristics were associated with PFS.

Table 2.

Univariate and multivariate Cox hazard regression analysis of OS

Characteristics Univariate analysis Multivariate analysis
Hazard ratio (95% CI) P value Hazard ratio (95% CI) P value
Age
  < 65 Reference
  ≥ 65 0.86 (0.43,1.7) 0.658 0.71 (0.33, 1.54) 0.383
Sex
 Male Reference
 Female 1.1 (0.49,2.47) 0.815 1.5 (0.4, 5.6) 0.545
BMI Grade
  < 18.5 Reference
 18.5 ≤ BMI ≤ 24 0.42 (0.13,1.4) 0.16 0.33 (0.08, 1.39) 0.131
  > 14 0.44 (0.13,1.54) 0.201 0.38 (0.09, 1.54) 0.175
ECOG
 0 Reference
 1 1.9 (0.74,4.86) 0.18 1.51 (0.55, 4.14) 0.423
Smoking
 Yes Reference
 No 1.1 (0.58,2.08) 0.763 1.05 (0.28, 3.87) 0.943
Drinking
 Yes Reference
 No 1.18 (0.63,2.24) 0.602 1.43 (0.42, 4.96) 0.568
Tumor location
 Uper Reference
 Midle 1.64 (0.69,3.89) 0.258 1.42 (0.53, 3.75) 0.485
 Lower 0.87 (0.36,2.09) 0.752 0.58 (0.2, 1.67) 0.309
Clinical T stage
 T2 Reference
 T3 1.21 (0.29,5.05) 0.795 0.76 (0.16, 3.51) 0.722
 T4a 1.81 (0.37,8.99) 0.466 1.3 (0.24, 6.97) 0.76
 T4b 2.71 (0.45,16.36) 0.278 1.3 (0.17, 9.72) 0.796
Clinical N stage
 N0 Reference
 N1 1.08 (0.14,8.14) 0.941 0.54 (0.07, 4.52) 0.572
 N2 0.71 (0.09,5.35) 0.742 0.28 (0.03, 2.39) 0.243
 N3 2.48 (0.32,19.5) 0.388 1 (0.11, 8.95) 0.999
Dose delay
 No Reference
 Yes 1.16 (0.63,2.13) 0.632
RDI
 RDI < 0.7 Reference
 RDI ≥ 0.7 0.49 (0.27,0.88) 0.015 0.4 (0.201, 0.793) 0.007

BMI Body mass index, ECOG Eastern Cooperative Oncology Group performance, RDI Relative dose intensity

Toxicity of concurrent chemoradiotherapy

As shown in Table 3, all patients completed chemotherapy; of these, 23 patients received a second cycle of chemotherapy by adjusting the dose, which was compared to the first cycle of chemotherapy. No significant differences in second-cycle dose reductions were observed between the two groups (P = 0.374), mainly because the patients could not tolerate chemoradiotherapy-related adverse events (AEs).

Table 3.

Grade 3 and higher chemoradiotherapy relative adverse events

Variables Total RDI < 0.7 RDI ≥ 0.7 p
(n = 132), n (%) (n = 51), n (%) (n = 81), n (%)
Dose adjustment 23 (17.4) 7 (13.7) 16 (19.8) 0.374
Hematologic 38 (28.8) 11 (21.6) 27 (33.3) 0.118
Leukopenia 34 (25.8) 12 (23.5) 22 (27.2) 0.642
Anemia 0( 0) 0(0) 0 (0) 1
Thrombocytopenia 1 ( 0.8) 1 (2) 0 (0) 0.386
Neutropenia 29 (22.0) 9 (17.6) 20 (24.7) 0.341
Non-hematologic 21(15.9) 8 (15.7) 13 (16) 0.956
Nauseau 8 ( 6.1) 2 (3.9) 6 (7.4) 0.484
Vomiting 4 ( 3.0) 1 (2) 3 (3.7) 1
Esophagitis 3 ( 2.3) 1 (2) 2 (2.5) 1
Febrile neutropenia 1 ( 0.8) 1 (2) 0 (0) 0.386
Radiation pneumonitis 1 ( 0.8) 1 (2) 0 (0) 0.386

Acute AEs (occurring within 3 months of NCRT) during chemoradiotherapy were graded according to the Common Terminology Criteria for Adverse Events version 4.0. The severity of RT-induced esophagitis and pneumonitis was graded according to the Radiation Therapy Oncology Group Acute Radiation Morbidity Scoring criteria [18]. Hematologic and non-hematologic AEs of grade ≥ 3 were observed in 39 (29.5%) and 21 (15.9%) patients, respectively, in the intention-to-treat population (Table 4). Patients treated with RDI ≥ 0.7 (33.3%) had a higher incidence tendency to hematologic grade ≥ 3 AEs than those in the RDI < 0.7 (23.5%) group, but the difference was not statistically significant (P = 0.229). There was no evidence that patients with RDI ≥ 0.7 experienced more toxicity or that patients with RDI < 0.7 resulted in less toxicity (all P > 0.05). All the AE grades are presented in Supplementary Table 2.

Table 4.

Pathological findings and surgical outcomes

Variables Total (n = 132) RDI < 0.7 (n = 51) RDI ≥ 0.7 (n = 81) p
Perineural invasion, n (%) 0.526
Negative 20 (15.2%) 9 (17.6%) 11 (13.6%)
Positive 112 (84.8%) 42 (82.4%) 70 (86.4%)
Lymphovascular invasion, n (%) 0.732
Negative 14 (10.6%) 6 (11.8%) 8 (9.9%)
Positive 118 (89.4%) 45 (88.2%) 73 (90.1%)
Resection margins, n (%) 0.287
R0 126 (95.5%) 48 (94.1%) 78 (96.3%)
R1 4 ( 3.0%) 1 (2%) 3 (3.%7)
R2 2 ( 1.5%) 2 (3.9%) 0 (0%)
pCR, n (%) 0.951
Yes 41 (31.1%) 16 (31.4%) 25 (30.9%)
No 91 (68.9%) 35 (68.6%) 56 (69.1%)
TRG, n(%) 0.307
TRG 1a 52 (39.4%) 20 (39.2%) 32 (39.5%)
TRG 1b 30 (22.7%) 8 (15.7%) 22 (27.2%)
TRG 2 41 (31.1%) 20 (39.2%) 21 (25.9%)
TRG 3 9 ( 6.8%) 3 (5.9%) 6 (7.4%)
Postop.T, n (%) 0.82
T0 82 (40.8) 21 (42) 61 (40.4)
T1-2 64 (31.8) 17 (34) 47 (31.1)
T3-4 55 (27.4) 12 (24) 43 (28.5)
Postop.N, n (%) 0.097
N0 140 (69.7) 40 (80) 100 (66.2)
N +  61 (30.3) 10 (20) 51 (33.8)

pCR Pathologic complete remission, TRG Tumor regression grade

Surgical and pathological outcomes

Among the 51 patients in the RDI < 0.7 group, 48 (96%), 1 (2%), and 2 (3.9%) achieved R0, R1, and R2 resections, respectively. Eighty-seven patients (96.6%) in the RDI ≥ 0.7 group achieved R0 resection, and 3 patient (3.4%) achieved R1 resection. Overall, 66 of 201 patients achieved pCR (33.3%). The pCR rate did not differ significantly between the lower- and higher-RDI groups (31.4% vs. 34.5%, P = 0.708). No statistically significant intergroup differences were noted in perineural invasion, lymphovascular invasion, resection margins, or pCR rates (all P > 0.05) (Table 4). The postoperative complications were not significantly different between the two groups (Supplementary Table 3).

The pathological response was assessed using the tumor regression grade (TRG) of the Becker criteria. As shown in the Supplementary Table 3, 52 (39.4%), 30 (22.7%), 41 (31.1%), and 9 (6.8%) patients had no residual tumor (TRG 1a), < 10% residual tumor per tumor area (TRG 1b), 10%–50% residual tumor per tumor area (TRG 2), and > 50% residual tumor per tumor area (TRG 3), respectively. The differences in the TRG scores between the two groups were not statistically significant (P = 0.31).

Survival

The median follow-up was 37.29 months in the censored patients. OS and PFS for recurrence in patients grouped according to various average RDI are shown in Figs. 1 and 2. OS was significantly higher in the high group than in the low group when the RDI cut-off points of 0.7 was used. In the RDI ≥ 0.7 group, the 3- and 5-year OS was 77.9% and 63%, and the 5-year PFS was 51.1%. In the RDI < 0.7 group, the 3- and 5-year OS was 57.7% and 51.9%, and the 5-year PFS was 46.7%. Patients with RDI < 0.7 who were given reduced doses had a worse OS (HR 0.49, 95% CI 0.27–0.88, P = 0.015) and a slightly worse PFS (HR 0.68, 95% CI 0.41–1.13, P = 0.138).

Fig. 1.

Fig. 1

OS curve of two RDI groups

Fig. 2.

Fig. 2

PFS curve of two RDI groups

Correlation analyses of RDI and patient characteristics

We further explored the association between RDI and patients’ clinical characteristics. As shown in Supplementary Table 4, dose delay was the only factor associated with an RDI < 0.7. The mean delay time was 3.8 ± 0.8. The RDI < 0.7 group average dose-delay time was 4.3 ± 0.9. The RDI ≥ 0.7 group average dose-delay time was 3.5 ± 0.6 (Supplementary Table 3). 60.8% patients in the RDI < 0.7 group and 12.3% in the RDI ≥ 0.7 group experienced dose-delay (P < 0.001).

Patient clinical characteristics such as age, sex, body mass index (BMI), tumor location, and tumor stage were not significantly associated (Table 1). In addition, no correlation was found between the RDI and chemoradiation-related AEs such as leukopenia, anemia, neutropenia, nausea, and vomiting (all P > 0.05) (Table 3). There was no statistical correlation between the RDI and other surgical and pathological outcomes, such as R0 resection rate, TRG grade, pCR rate, perineural invasion, and lymphovascular invasion (Table 4).

Discussion

Previously, our research group assessed whether the TC regimen was superior to the TP regimen, and demonstrated that the TC regimen was a safe and equivalent alternative to the TP regimen for NCRT in patients with LA-ESCC [7]. To further explore the effects of the chemotherapy dose, we analyzed 132 patients with complete TC regimen chemotherapy doses and grouped them using a cutoff RDI of 0.7. Our study indicated that patients who received higher doses did not experience more toxicity and those who received lower doses experienced less toxicity. Patients who were administered reduced doses had a worse significantly OS (HR 1.947, 95% CI 1.079–3.542, P = 0.015) and a worse tendency PFS (HR 1.471, 95% CI 0.883–2.45, P = 0.14). The two groups showed no significant differences in perineural invasion, lymphovascular invasion, or resection margins. The relationship between the RDI and short-term efficacy was further analyzed. Dose-delay was the only factor associated with low RDI. To the best of our knowledge, this is the first study to compare the chemotherapy RDI in patients with LA-ESCC undergoing NCRT.

The importance of RDI in advanced unresectable solid tumors has been well recognized in recent years [11, 19]. A recent meta-analysis evaluated the impact of the RDI on survival in adult patients with solid tumor cancer receiving non-adjuvant-based chemotherapy regimens. Significantly shorter OS at RDI < 80% vs. ≥ 80% and < 85% vs. ≥ 85% was observed upon meta-analysis of four carboplatin-based studies for breast, non-small cell lung, or ovarian cancer, and three FOLFOX-/FOLFIRI-/FOLFIRINOX-based studies for colorectal or pancreatic cancer [11]. The results suggested longer OS with RDI ≥ 80% or ≥ 85% for both regimens, indicating longer OS with higher-RDI in advanced solid tumors. In our study, the best cut-off value of RDI calculated using the ROC curve was 70%, which was used as the criterion for subgrouping. The RDI ≥ 0.7 group had significantly higher OS than the RDI < 0.7 group. Cox regression analysis further confirmed that the RDI was an independent prognostic factor affecting survival. Therefore, it can be preliminarily deduced that an RDI of 70% can satisfy the balance of survival benefits. Patients with lower-RDI who were administered reduced doses had worse OS (P = 0.015). Thus, the results of the current study, as well as earlier studies, suggest that maintaining the RDI has a positive impact on survival.

Considering patient tolerance, continuation of chemotherapy, and the reduction of chemotherapy-related side effects, dose reduction is commonly used in clinical practice for patients with LA-ESCC receiving NCRT. At present, studies on RDI chemotherapy in NCRT for LA-ESCC are scarce. The impact of the average RDI in neoadjuvant chemotherapy with docetaxel, cisplatin, and 5-fluorouracil (DCF-NAC) for resectable LA-ESCC has shown that an average RDI of ≥ 80% improved prognosis in patients receiving DCF-NAC for ESCC [20]. To explore whether the same results were obtained when neoadjuvant radiation was added, we retrospectively analyzed 132 patients with LA-ESCC who underwent radical esophagectomy and lymphadenectomy after NCRT. Our findings indicated that when combined with neoadjuvant chemotherapy and radiotherapy, in patients who had reduced RDI > 30%, chemotherapy not only led to significantly worse OS, but also could not decrease the risk of hematologic and non-hematologic AEs.

Several factors are associated with chemotherapy RDI. Schraa et al. found that RDI < 85% was predicted by patients’ age, febrile neutropenia, and hypersensitivity reactions to taxanes in patients with breast cancer receiving adjuvant chemotherapy treatment [21]. A multicenter analysis in the United States demonstrated that malnutrition was an independent predictor of chemotherapy dose reduction due to toxicity [22]. Ilana et al. retrospectively analyzed 237 patients with breast cancer and found that the RDI was not associated with BMI (P = 0.71) or pCR (P = 0.31); however, fewer dose delays were associated with pCR (P = 0.02) [23]. In our study, we performed a univariate logistic regression model correlation analysis to explore the association between the RDI and patients’ clinical characteristics. Our results showed that 47 (35.6%) patients experienced dose delays due to personal reasons, whether initiated by the patient or the physician. Dose delay was the only factor associated with RDI < 0.7; BMI, pCR rate, TRG grade, and chemoradiation-related AEs were not significantly associated with RDI reduction (all P > 0.05). Thus, avoiding dose delays can effectively avoid dose intensity reduction.

RDI is a crucial metric for assessing the intensity of chemotherapy. Management of chemotherapy time and avoidance of dose delay across treatment modalities could contribute to the maintenance of a higher RDI and benefit survival in patients with LA-ESCC for NCRT. The chemotherapy dose can be appropriately reduced to ensure the safety profile of NCRT. However, we do not support the policy of reducing chemotherapy doses > 30% in patients with LA-ESCC. Dose reductions or delays in the administration of chemotherapy owing to toxicity, or with the intention of avoiding toxicity, lead to a reduction in the dose intensity of treatment and may decrease its therapeutic effect. Avoiding toxicity can cost them months (if not years) of survival.

This study has some limitations. First, this was a retrospective cohort study with potential selection bias compared to prospective randomized controlled studies. We considered propensity score matching for comparison but did not perform it due to the small number of subjects after matching. In addition, the follow-up duration was relatively short and the median OS was not reached. Moreover, in our cohort, episodes of AEs were underreported, given that this information was not prospectively gathered and that these mild events would not have warranted intervention or a change in treatment. Further large prospective studies with a systematic evaluation of the chemotherapy RDI in patients with LA-ESCC undergoing NCRT are needed. Our results can provide the fundamental for prospective explore optimal strategies for dose adjustment and toxicity management in LA-ESCC patients undergoing NCRT.

Conclusion

RDI below 0.7 for avoiding chemoradiotherapy toxicity administration led to a reduction in the dose intensity of treatment and decreased overall survival.

Supplementary Information

Supplementary Material 1. (34.9KB, docx)

Acknowledgements

We thanked Professor Jinyi Lang and Professor Tao Li, Department of Radiation Oncology, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China for their general support.

Abbreviations

AEs

Adverse events

CI

Instrumental activities of daily living

CT

Computed tomography

CTV

Clinical target volume

DCF-NAC

Neoadjuvant chemotherapy with docetaxel, cisplatin, and 5-fluorouracil

ESCC

Esophageal squamous cell carcinoma

GTV

Gross tumor volume

HR

Hazard ratio

ROC

Receiver operating characteristic

LA-ESCC

Locally advanced esophageal squamous cell carcinoma

NRCT

Neoadjuvant chemoradiotherapy

OS

Overall survival

pCR

Pathological complete response

PFS

Progression-free survival

RDI

Relative dose intensity

TC

Paclitaxel plus carboplatin

TP

Paclitaxel plus cisplatin

TRG

Tmor regression grade

Authors’ contributions

Li Jiang: Data collection, statistics, original draft. Jie Zhu: Conceptualization, review and editing the manuscript. Yi Wang: conducted the data analysis and developed the tracking and data collection programs. Xue Chen, Lei Wu and Gang Wan: data collection. Yongtao Han, Xuefeng Leng, Lin Peng: Executed esophagectomy. Qifeng Wang, Lin Peng and Jun Zhang: Monitor the clinical trial.

Funding

This work was supported by the Science and Technology Department of Sichuan Province (2020YFH0169, 2023YFS0488 and 2023YFQ0055), Sichuan Province Clinical Key Specialty Construction Project.

Availability of data and materials

All data generated and analyzed in this study are included in this published article.

Declarations

Ethics approval and consent to participate

According to the ethical guide-lines of the Helsinki Declaration and was approved by the institutional review board of Sichuan Cancer Hospital & Institute. Written informed consents were obtained from all patients prior to treatment.

Consent for publication

All patients in the study provided written informed consent.

Competing interests

The authors declare no confict of interest.

Footnotes

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Contributor Information

Jun Zhang, Email: zhj316316@163.com.

Lin Peng, Email: penglinms@126.com.

Qifeng Wang, Email: littlecancer@163.com.

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Associated Data

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

Supplementary Materials

Supplementary Material 1. (34.9KB, docx)

Data Availability Statement

All data generated and analyzed in this study are included in this published article.


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