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. 2021 Mar 3;13(5):1074. doi: 10.3390/cancers13051074

Pathologic Response Rates after Neoadjuvant Therapy for Sarcoma: A Single Institution Study

Crystal Seldon 1, Gautam Shrivastava 1, Melanie Fernandez 1, John Jarboe 1, Sheila Conway 2, Juan Pretell 2, Laura Freedman 1, Aaron Wolfson 1, Wei Zhao 3, Deukwoo Kwon 3,4, Andrew Rosenberg 5, Ty Subhawong 6, Jonathan Trent 7, Raphael Yechieli 1,*
Editors: Michiel A J van de Sande, Rick Haas, Aykut Uren
PMCID: PMC7959282  PMID: 33802383

Abstract

Simple Summary

For high-grade soft tissue sarcomas (STS), combined modality treatment with surgery and radiation therapy is the standard of care. The addition of chemotherapy has been shown to decrease the risk of local recurrence and improve survival. Evaluating treatment response with surrogate modalities such as MRI, CT and PET imaging have substantial limitations. Pathologic necrosis of the surgical specimen is a direct indicator of the effect of treatment on tumor cells. Studies in STS and other malignancies have shown that increasing rates of treatment-induced tumor necrosis correlate with improvement of oncological outcomes and survival. However, the relationship between pathologic response and outcomes of specific neoadjuvant treatments for STS remains indeterminate. We hypothesized that sequential neoadjuvant chemotherapy and radiation yields higher rates of pathologic complete response (pCR) than neoadjuvant radiation or chemotherapy alone. Our results indicate that neoadjuvant chemotherapy and radiation yields superior pCR compared to other neoadjuvant regimens.

Abstract

(1) Background: Pathologic necrosis of soft tissue sarcomas (STS) has been used to determine treatment response, but its relationship to neoadjuvant treatments remains indeterminate. In this retrospective, single institution study, we hypothesized that neoadjuvant chemoradiation (NA-CRT) yields higher rates of pathologic complete response (pCR) than neoadjuvant radiation (NA-XRT) or chemotherapy (NA-CT) alone. (2) Methods: Patients with extremity STS between 2011–2020 who received neoadjuvant treatment were included. pCR was defined as percent necrosis of the surgical specimen greater than or equal to 90%. (3) Results: 79 patients were analyzed. 51.9% of the population were male with a mean age of 58.4 years. 49.4% identified as Non-Hispanic White. Twenty-six (32.9%) patients achieved pCR while 53 (67.1%) did not. NA-CT (OR 15.82, 95% CI = 2.58–96.9, p = 0.003 in univariate (UVA) and OR 24.7, 95% CI = 2.88–211.2, p = 0.003 in multivariate (MVA), respectively) and NA-XRT (OR 5.73, 95% CI = 1.51–21.8, p = 0.010 in UVA and OR 7.95, 95% CI = 1.87–33.7, p = 0.005 in MVA, respectively) was significantly associated with non- pCR when compared to NA-CRT. The analysis also demonstrated that grade 3 tumors, when using grade 2 as reference, also had significantly higher odds of achieving pCR (OR 0.23, 95% CI = 0.06–0.80, p = 0.022 in UVA and OR 0.16, 95% CI = 0.04–0.70, p = 0.015 in MVA, respectively). (4) Conclusion: NA-CRT yields superior pCR compared to other neoadjuvant regimens. This extends to higher grade tumors.

Keywords: soft tissue sarcoma, neoadjuvant therapy, pathologic complete response

1. Introduction

Soft tissue sarcomas (STS) are rare tumors derived from mesenchymal cells [1]. STS involve less than 1% of all adult malignancies with an expected incidence of 13,130 new cases in the United States in 2020 [2]. Localized STS have a five-year relative survival rate of 81%, however the survival rate drops to 16% with distant spread of disease [3].

Treatment approaches for STS vary across sarcoma centers of excellence [4]. For high-grade tumors, combined modality treatment with surgery and radiation therapy is the standard of care [5], preferably with neoadjuvant radiation (NA-XRT) to reduce late toxicities of fibrosis, edema, and joint stiffness [6,7]. Although the addition of adjuvant chemotherapy to surgery with or without radiation decreases the risk of local recurrence and improves survival [8], this approach has not been globally implemented. Recently, neoadjuvant chemotherapy (NA-CT) and neoadjuvant sequential chemoradiation (NA-CRT) have been explored as treatment regimens. A large meta-analysis identified benefits in survival, distant recurrence (DR), and local recurrence (LR) with the addition of chemotherapy to localized therapy for STS. These benefits were further improved with the addition of ifosfamide to doxorubicin-based regimens [8]. Additional trials evaluating NA-CRT have shown benefits in overall survival (OS) and local control [9,10]. At our institution, patients with high-grade extremity sarcomas are treated with sequential neoadjuvant chemotherapy and radiation therapy followed by an oncologic resection.

Surrogate modalities to measure tumor treatment response such as MRI, CT, and PET imaging, remain with substantial limitations. Pathologic necrosis of the surgical specimen is a direct indicator of the effect of treatment on tumor cells. Studies in STS and other malignancies have shown that increasing rates of treatment-induced tumor necrosis correlate with prognostic oncological outcomes and survival [11,12,13,14]. However, the relationship between pathologic response and outcomes of specific neoadjuvant treatments remains indeterminate. In this retrospective single institution study, we sought to determine whether sequential NA-CRT yields higher rates of pathologic response and superior oncologic outcomes than either NA-XRT or NA-CT alone.

2. Materials and Methods

A retrospective review was conducted on 289 patients diagnosed with extremity STS between 2011 and 2020 at the University of Miami. This analysis was approved by the University of Miami Institutional Review Board 20190880 and due to the retrospective nature of this study, informed consent was waived. All patients were older than 18 and treated with NA-CT, NA-XRT, or NA-CRT followed by oncologic resection performed by the Orthopedic oncology team.

Exclusion criteria included patients who did not receive neoadjuvant therapy followed by an oncologic resection. Patients with low-grade sarcoma, rhabdomyosarcoma, extraosseous Ewing, primitive neuroectodermal tumors, osteosarcoma, chondrosarcoma, Kaposi’s sarcoma, angiosarcoma of the scalp/face, or any sarcoma of the head and neck were excluded based on RTOG 0630 [15] and RTOG 9514 [10] criteria. Neoadjuvant radiation therapy was delivered in 25 fractions to a dose of 50 Gy in 2 Gy per day increments. Resection was performed an average of 10 weeks after completion of radiation therapy.

Age was calculated from date of birth to date of tissue diagnosis. Survival status was taken from the medical record as was gender, race, and ethnicity. Patients identified their gender as male or female. Ethnicity was classified as Hispanic or non-Hispanic. For race, patients identified as White, Black, Asian, multiracial, or unknown. The date of diagnosis was the date of pathologic confirmation of STS. Tumor location was classified as originating in the upper or lower extremity. Tumor grade and histology were identified on the pre-operative pathology report. The following data were obtained from the surgical pathology report: percent necrosis, margin status, distance from closest margin, tumor size, treatment effect, and number of positive nodes. Status at last follow-up was categorized as alive without recurrence, alive with local regional recurrence, alive with distant recurrence, or deceased. All staging for analysis was based on the American Joint Committee on Cancer (AJCC) Staging System for STS of the trunk and extremities, 8th edition. Pathologic complete response (pCR) was defined as percent necrosis of the surgical specimen greater than or equal to 90% based on criteria from the ARST1321 trial [16]. Recurrences were listed as local if they occurred in the same region as the primary tumor or distant if they occurred outside of the primary location. Date of recurrence was listed as the date of pathological confirmation of recurrent disease or radiologic confirmation in the absence of a biopsy. Local recurrence free interval is defined as the time from surgery to the time of latest follow-up.

Patient demographics and disease characteristics were summarized using descriptive statistics. For continuous variables, mean, standard deviation, median, minimum, and maximum values were reported. For categorical variables, frequencies were reported. Univariable and multivariable analyses (UVA and MVA) were performed to examine association between covariates and pCR using logistic regression. Stepwise variable selection was used for identifying independent variables in MVA. Overall survival analysis was performed using Cox proportional hazards regression for univariable analysis only due to small number of deaths. Kaplan Meier approach was used to evaluate survival curves among categorical groupings. Associations between distant recurrence and covariates were examined using Fine-Gray competing risks regression due to presence of competing risks (local recurrence and death without any recurrence). Pre- and post-treatment tumor size in centimeters (cm) was examined using logistic regression analysis. All statistical analyses were conducted using statistical software SAS version 9.4 and R version 3.6.3. Statistical significance was considered when p < 0.05.

3. Results

3.1. Clinical Characteristics

Clinical characteristics of the entire cohort by pathologic response are depicted in Table 1. Seventy-nine patients were included in the analysis and 51.9% of the population identified as male. The mean age of the cohort was 58.4 years. In addition, 49.4% of the cohort identified as Non-Hispanic White and 35.4% identified as Hispanic. Most STS were in the lower extremity (83.5%). There were many histologic subtypes represented in the cohort, however fibrosarcoma and fibroblastic sarcomas (57.0%) were the most common histology identified followed by synovial cell sarcomas (13.9%). Most tumors were grade 3 based on histologic interpretation (69.6%). Four patients had metastatic disease to the lung, however their disease was considered low volume. Two patients had nodal involvement on diagnosis.

Table 1.

Baseline characteristic in all and by pCR.

Category All Pathologic Complete Response
pCR Non-pCR
N % N % N %
All 79 100.0 26 32.9 53 67.1
Gender
Female 38 48.1 12 31.6 26 68.4
Male 41 51.9 14 34.1 27 65.9
Age
Mean (SD) 58.4 (14.4) 59.4 (10.7) 57.9 (15.9)
Median (Min, Max) 58.0 (23.0–83.0) 63.5 (32.0–75.0) 56.0 (23.0–83.0)
Race/Ethnicity
Non-Hispanic White 39 49.4 13 33.3 26 66.7
Non-Hispanic Black 10 12.7 4 40.0 6 60.0
Hispanic 28 35.4 8 28.6 20 71.4
Asian/Unknown 2 2.5 1 50.0 1 50.0
Location
Upper extremity 13 16.5 4 30.8 9 69.2
Lower extremity 66 83.5 22 33.3 44 66.7
Histology
Fibrosarcoma/Fibroblastic sarcoma 45 57.0 16 35.6 29 64.4
Leiomyosarcoma 6 7.6 1 16.7 5 83.3
Myxoid cell/round cell liposarcoma 5 6.3 2 40.0 3 60.0
Synovial cell sarcoma 11 13.9 1 9.1 10 90.9
Spindle cell sarcoma 6 7.6 4 66.7 2 33.3
Dedifferentiated liposarcoma 6 7.6 2 33.3 4 66.7
Grade
2 24 30.4 3 12.5 21 87.5
3 55 69.6 23 41.8 32 58.2
Clinical T stage
1 9 11.4 1 11.1 8 88.9
2 34 43.0 11 32.4 23 67.6
3 19 24.1 8 42.1 11 57.9
4 16 20.3 6 37.5 10 62.5
x 1 1.3 - - 1 100.0
Clinical N stage
0 76 96.2 26 34.2 50 65.8
1 2 2.5 - - 2 100.0
x 1 1.3 - - 1 100.0
Clinical M stage
0 74 93.7 25 33.8 49 66.2
1 4 5.1 1 25.0 3 75.0
x 1 1.3 - - 1 100.0
Clinical stage
2 9 11.4 1 11.1 8 88.9
3 63 79.7 24 38.1 39 61.9
4 6 7.6 1 16.7 5 83.3
x 1 1.3 - - 1 100.0

SD: standard deviation; Min = minimum; Max = maximum.

3.2. Treatment and Post-Therapy Response Chracteristics

Treatment and post-therapy characteristics of the entire cohort by pathologic response are depicted in Table 2. Twenty-six (32.9%) patients achieved pCR while 53 (67.1%) did not. Of those who received NA-CRT, 22 (55.0%) patients had tumor necrosis rates greater than 90% while 18 did not (45.0%). Of the NA-CT arm, 1 patient (5.0%) achieved pCR and 19 (95.0%) did not. Of the NA-XRT group, 3 patients achieved pCR (15.8%) while 16 (84.2%) did not. The median pre-treatment tumor size was 10.4 cm and post-treatment size was 9.7 cm based on radiographic interpretation. Of note, 66.7% of spindle cell sarcomas achieved pCR (Table 1). On comparing the pre- and post-treatment size of the tumors with paired T-tests, there was a significant difference among the patients that achieved pCR (p = 0.010) but not among the entire cohort (p = 0.161) or among patients who did not achieve pCR (0.997) (Figure 1). Pathology revealed negative margins for 70 patients (88.6%). 71 patients (89.9%) were alive at the time of the analysis. Of these 71 patients, 55 (69.6%) were without local or distant recurrence. Of the entire cohort, 23 patients developed a local or distant recurrence at the time of analysis. 19 (82.6%) of these patients did not achieve pCR. Seven of the eight patients who were deceased at the time of analysis had a local or distant recurrence at time of death. Of the patients who received chemotherapy, Adriamycin ifosfamide (AI) was the most common regimen used (34.2%).

Table 2.

Treatment and response characteristics.

Category All Pathologic Complete Response
pCR Non-pCR
N % N % N %
All 79 100.0 26 32.9 53 67.1
Neoadjuvant treatment
NA-CRT 40 50.6 22 55.0 18 45.0
NA-CT 20 25.3 1 5.0 19 95.0
NA-XRT 19 24.1 3 15.8 16 84.2
Pre-treatment tumor size (cm)
<5 10 12.7 1 10.0 9 90.0
5–10 36 45.6 12 33.3 24 66.7
>10 33 41.8 13 39.4 20 60.6
Mean (SD) 10.4 (5.0) 11.1 (4.4) 10.0 (5.4)
Mean (Min, Max) 9.6 (1.7–29.0) 10.2 (2.7–20.0) 8.8 (1.7–29.0)
Post-treatment tumor size (cm)
<5 14 17.7 6 42.9 8 57.1
5–10 32 40.5 10 31.3 22 68.8
>10 29 36.7 9 31.0 20 69.0
Unknown 4 5.1 1 25.0 3 75.0
Mean (SD) 9.7 (5.7) 9.3 (5.3) 10.0 (6.0)
Mean (Min, Max) 8.0 (0.6–28.0) 8.1 (2.5–20.0) 8.0 (0.6–28.0)
Margins
Negative 70 88.6 26 37.1 44 62.9
Positive 9 11.4 - - 9 100.0
Chemotherapy
AI 27 34.2 14 51.9 13 48.1
MAI 11 13.9 4 36.4 7 63.6
Adriamycin/Cytoxan 3 3.8 1 33.3 2 66.7
Adriamycin/Cisplatin 4 5.1 - - 4 100.0
Other 15 19.0 4 26.7 11 73.3
Unknown 19 24.1 3 15.8 16 84.2
Cycles
Mean (SD) 3.7 (1.4) 33.6 (1.3) 3.7 (1.4)
Mean (Min, Max) 4.0 (1.0–7.0) 4.0 (1.0–6.0) 4.0 (2.0–7.0)
Vital status
Alive 71 89.9 26 36.6 45 63.4
Dead 8 10.1 - - 8 100.0
Event of first failure
Alive without recurrence 55 69.6 22 40.0 33 60.0
Local regional/distance recurrence 23 29.1 4 17.4 19 82.6
Dead without recurrence 1 1.3 - - 1 100.0

NA-CRT: Neoadjuvant chemoradiation; NA-CT: Neoadjuvant chemotherapy; NA-XRT: Neoadjuvant radiation therapy; SD: Standard deviation; Min = maximum; Max = maximum; AI: Adriamycin ifosfamide; MAI: Mesna doxorubicin ifosfamide.

Figure 1.

Figure 1

Comparing pre- and post-treatment tumor size in cm.

3.3. Effect of Treatment on pCR

Logistic regression analysis was performed to determine the effect of treatment on pCR (Table 3). Variables examined were treatment, age, sex, race/ethnicity, location of primary tumor, histology, tumor size, and clinical T and N staging. On univariate and multivariate analysis, NA-CT (OR 15.82, 95% CI = 2.58–96.9, p = 0.003 in UVA and OR 24.7, 95% CI = 2.88–211.2, p = 0.003 in MVA, respectively) and NA-XRT (OR 5.73, 95% CI = 1.51–21.8, p = 0.010 in UVA and OR 7.95, 95% CI = 1.87–33.7, p = 0.005 in MVA, respectively) was significantly associated with non- pCR when compared to NA-CRT. Grade 3 disease was also significantly associated with achieving pCR in UVA when compared to Grade 2 disease (OR 0.23, 95% CI = 0.06–0.80, p = 0.022 in UVA and OR 0.16, 95% CI = 0.04–0.70, p = 0.015 in MVA, respectively).

Table 3.

Logistic regression: Effect of treatment on pCR vs. Non-pCR.

Variable Category UVA MVA
OR (95% CI) p-Value OR (95% CI) p-Value
Treatment NA-CRT Reference Reference
NA-CT 15.8 (2.58, 96.9) 0.003 24.7 (2.88,211.2) 0.003
NA-XRT 5.73 (1.51, 21.8) 0.010 7.95 (1.87, 33.7) 0.005
Age in years One year increased 0.99 (0.96, 1.03) 0.678
Sex Female Reference
Male 0.89 (0.35, 2.28) 0.816
Race/ethnicity Non-Hispanic White Reference
Non-Hispanic Black 0.74 (0.18, 3.06) 0.673
Hispanic 1.23 (0.43, 3.51) 0.701
Asian/Unknown 0.51 (0.03, 8.80) 0.643
Histology Leiomyosarcoma 2.05 (0.27, 15.8) 0.491
Myxoid cell/round cell liposarcoma 0.78 (0.12, 5.13) 0.799
Synovial cell sarcoma 3.92 (0.59, 25.9) 0.156
Spindle cell sarcoma 0.31 (0.05, 1.84) 0.197
Dedifferentiated liposarcoma 1.01 (0.17, 5.96) 0.994
Location Lower extremity Reference
Upper extremity 1.07 (0.30, 3.80) 0.920
Pre-treatment tumor size in <5 Reference
cm 5–10 0.31 (0.04, 2.14) 0.234
>10 0.24 (0.03, 1.66) 0.148
Post-treatment tumor size <5 Reference
in cm 5–10 1.64 (0.45, 5.97) 0.454
>10 1.65 (0.44, 6.15) 0.455
Unknown 1.78 (0.16, 19.37) 0.635
Grade 2 Reference Reference
3 0.23 (0.06, 0.80) 0.022 0.16 (0.04, 0.7) 0.015
Clinical T stage 1 Reference
2 0.36 (0.05, 2.57) 0.309
3 0.24 (0.03, 1.84) 0.169
4 0.29 (0.04, 2.30) 0.239
x 0.72 (0.00, 137.1) 0.901
Clinical N stage 0 Reference
1 2.62 (0.06, 111.4) 0.614
x 1.65 (0.02, 164.9) 0.831

NA-CT: Neoadjuvant chemotherapy; NA-CRT: Neoadjuvant chemoradiation; NA-XRT: Neoadjuvant radiation; NA: Not applicable. NE: Not estimable.

3.4. Predictors of OS and Recurrence

Univariable Cox models for OS were performed. (Table 4). No variables were found to be significantly associated with overall survival. The five-year OS rate for patients who achieved pCR was 100.0% compared to 81.2% for those who did not achieve pCR. Although there was a trend toward pCR correlation with superior OS when compared to non-pCR, the association was not significant, (p = 0.1809) (Figure 2). The five-year OS rates for patients who received NA-XRT, NA-CRT, and NA-CT were 100%, 77.9%, and 84.0%, respectively, which did not achieve statistical significance (p = 0.9353) as represented on Kaplan–Meier curve (Figure 3). At two years, the risk of cumulative distant recurrence was 20.7% (95% CI: 11.8–31.4%) (Figure 4).

Table 4.

Univariate Cox models for OS.

Variable Category HR (95%CI) p
Treatment NA-CRT Reference
Neoadjuvant treatment NA-CT 0.49 (0.07,3.54) 0.476
NA-XRT 0.59 (0.06,6.36) 0.667
Age One year increased 0.99 (0.93,1.05) 0.745
Sex Female Reference
Male 0.12 (0.01,1.03) 0.054
Race/Ethnicity Non-Hispanic White Reference
Non-Hispanic Black 1.32 (0.14,12.2) 0.807
Hispanic 0.35 (0.04,3.05) 0.342
Asian/Unknown NE
Location Lower extremity Reference
Upper extremity 2.34 (0.42,12.9) 0.330
Pre-treatment tumor (cm) <5 Reference
5–10 0.44 (0.06,3.11) 0.410
>10 0.35 (0.04,2.92) 0.331
Post treatment tumor (cm) <5 NE
5–10
>10
Unknown
Histology Fibrosarcoma/Fibroblastic sarcoma Reference
Leiomyosarcoma NE
Myxoid cell/round cell liposarcoma NE
Synovial cell sarcoma 3.96 (0.65,24.3) 0.137
Spindle cell sarcoma NE
Grade 2 Reference
3 0.56 (0.11,2.79) 0.476
Clinical T stage 1 Reference
2 0.37 (0.03,4.65) 0.440
3 1.04 (0.09,12.7) 0.977
4 0.32 (0.02,6.60) 0.462
x 1.91 (0.11,33.0) 0.656
Clinical N stage 0 Reference
1 NE
x 3.63 (0.32,41.5) 0.299
Clinical M stage 0 Reference
1 NE
x 3.23 (0.30,34.7) 0.332
Clinical stage 2 Reference
3 0.41 (0.04,4.16) 0.452
4 2.81 (0.16,50.3) 0.483
x 1.92 (0.11,33.0) 0.652
Pathology complete response pCR NE
(pCR) Non-pCR

NA-CT: Neoadjuvant chemotherapy; NA-CRT: Neoadjuvant chemoradiation; NA-XRT: Neoadjuvant radiation; NE: Not estimable.

Figure 2.

Figure 2

Kaplan–Meier curves of overall survival (OS) by pCR.

Figure 3.

Figure 3

Kaplan–Meier curves of OS by treatment type.

Figure 4.

Figure 4

Cumulative incidence of distant recurrence.

4. Discussion

Within the different treatment groups, we determined that over half of those treated with NA-CRT (55.0%) achieved a level of pathologic necrosis of at least 90%, whereas in the groups with NA-CT and NA-XRT, only 5.0% and 15.8% achieved at least 90% necrosis, respectively. Our results demonstrate that the odds of achieving a pCR are significantly decreased with NA-CT (OR 15.82, 95% CI = 2.58–96.9, p = 0.003 in UVA and OR 24.7, 95% CI = 2.88–211.2, p = 0.003 in MVA, respectively) and NA-XRT (OR 5.73, 95% CI = 1.51–21.8, p = 0.010 in UVA and OR 7.95, 95% CI = 1.87–33.7, p = 0.005 in MVA, respectively) when compared to NA-CRT. The analysis also demonstrated that grade 3 tumors, when using grade 2 as reference, also had significantly higher odds of achieving pCR (OR 0.23, 95% CI = 0.06–0.80, p = 0.022 in UVA and OR 0.16, 95% CI = 0.04–0.70, p = 0.015 in MVA, respectively). These findings suggest that sequential neoadjuvant chemotherapy and radiation confer significantly greater degrees of pCRupon surgical resection as well as combined neoadjuvant therapy is effective for higher grade tumors compared to NA-CT or NA-XRT alone at achieving pCR.

Prior studies have suggested NA-CRT is superior to solely preoperative radiotherapy, with NA-CRT increasing the likelihood of R0 resection [17]. A meta-analysis showed significantly greater five-year survival when comparing CRT to XRT (72.0% vs. 56.1%; p < 0.001) [18]. Smaller studies have contrasted survival outcomes between combined neoadjuvant chemotherapy/radiation and historical controls. One such study reported that the NA-CRT group had significantly better outcomes in survival (87% to 58%), disease-free survival (70% vs. 42%), and metastasis-free survival (75% vs. 44%) at 5 years [9]. Our study supports the record for NA-CRT by establishing its superiority to pre-operative chemotherapy or radiation therapy alone in the context of achieving pCR upon resection.

The prognostic value of necrosis within a resected tumor has been the center of much debate as it continues being assessed in association with survival metrics. A study examining 113 individuals with sarcoma treated to achieve a median necrosis of 90% across samples found no difference in groups who had >95% necrosis and <95% necrosis in five-year follow-up for local control, disease-specific survival, and overall survival [19]. Other studies challenged the use of necrosis as a measure of treatment response entirely. In a study of 162 patients with STS treated with neoadjuvant therapy, a median follow-up of 4.5 years, and a median necrosis of 27%, the group found that higher rates of necrosis predicted worse outcomes for distant-metastasis-free, progression free, and OS [20,21]. On the contrary, the use of pCR across several other cancer types—including breast and head and neck cancer—is widely associated with improved outcomes including OS [22]. Our analyses corroborate the debate in the literature, showing that pCR as defined by greater than or equal to 90% necrosis was not significantly associated with OS when compared to non-pCR.

Limitations of retrospective studies apply to our single center study. Chief among the limitations is the rarity of STS, accounting for the small sample size accrued over the nine-year time frame. Additionally, the lack of availability of comparable data across all 289 screened patients factored into the findings. Many patients went to different hospital systems for their surgeries and as a result did not have pathologic necrosis reported in their pathology and were excluded on that basis. Another limitation is the selection bias. Larger tumors (greater than 5 cm) are more likely to receive chemotherapy than smaller tumors due to higher risk of local and distant recurrence. In addition, patients with poor performance status are more likely to receive NA-XRT due to inability to tolerate chemotherapy. Additionally, challenges associated with follow-up led to exclusions due to incomplete records, limiting potential survival analyses.

Our findings indicate that the use of sequential neoadjuvant chemotherapy and radiotherapy before surgical resection yields superior pCR. This finding extends to higher-grade tumors. Further prospective research into this approach will examine toxicity associated with greater therapeutic load, utilize the percentage decrease in tumor size in calculating percent necrosis, as well as apply correlative imaging through PET/CT or advanced MRI techniques to further quantify reductions in tumor burden and viability. Expanding the number of eligible patients for study could also add power to the study in determining whether pathologic complete response could serve as a surrogate for measures of survival outcomes.

5. Conclusions

Sequential NA-CRT before surgical resection yields superior pCR when compared to NA-XRT and NA-CT. This finding extends to higher grade tumors. Although there was a trend toward pCR correlation with superior OS when compared to non-pCR, the association was not significant.

Author Contributions

Conceptualization, all authors; methodology, all authors; software, W.Z. and D.K.; validation, C.S.; D.K., W.Z., and R.Y.; formal analysis, D.K. and W.Z.; investigation, all authors; resources, all authors; data curation, all authors; writing—original draft preparation, C.S. and G.S.; writing—review and editing, all authors; supervision, R.Y.; project administration, R.Y. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

This analysis was approved by the University of Miami Institutional Review Board 20190880 on 22 October 2019 and due to the retrospective nature of this study, informed consent was waived.

Informed Consent Statement

Patient consent was waived due to retrospective nature of this study.

Data Availability Statement

The data presented in this study are available on request from the corresponding author. The data are not publicly available due to patient privacy.

Conflicts of Interest

The authors declare no conflict of interest.

Footnotes

Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

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Associated Data

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

Data Availability Statement

The data presented in this study are available on request from the corresponding author. The data are not publicly available due to patient privacy.


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