Abstract
Purpose
Whether the therapeutic response of soft-tissue sarcoma to neoadjuvant treatment is predictive for clinical outcomes is unclear. Given the rarity of this disease and the confounding effects of chemotherapy, this study analyzes whether a favorable pathologic response (fPR) after neoadjuvant radiation therapy (RT) alone is associated with clinical benefits.
Methods and Materials
An institutional review board-approved retrospective review was conducted on a database of patients with primary soft-tissue sarcoma treated at our institution between 1987 and 2015 with neoadjuvant RT alone followed by surgical resection. Time-to-event outcomes estimated with a Kaplan–Meier analysis included overall survival, progression-free survival (PFS), locoregional control, and distant control (DC). Cox regression analyses were performed to determine prognostic variables associated with clinical outcomes.
Results
Of the overall cohort of 315 patients, 181 patients (57%) were included in the primary analysis with documented pathologic necrosis (PN) rates (mean: 59%) and a median follow up from diagnosis of 48 months (range, 4-170 months). The median neoadjuvant RT dose was 50 Gy (range, 40-60 Gy), and the majority of patients had negative surgical margins (79%). Only 35 patients (19%) achieved a fPR (PN ≥95%), which was associated with a higher R0 resection rate (94% vs. 75%; P = .013), a significant 5-year PFS benefit (74% vs. 43%; P = .014), and a nonsignificant 5-year DC benefit (76% vs. 62%; P = .12) compared with PN <95%. On multivariable analysis, fPR was an independent predictor for PFS (hazard ratio: 0.47; 95% confidence interval, 0.25-0.90; P = .022).
Conclusions
Achieving fPR with neoadjuvant RT alone is associated with a higher R0 resection rate and possible DC benefit, translating into a significant improvement in PFS. Further studies to improve pathologic response rates and prospectively validate this endpoint are warranted.
Introduction
In soft-tissue sarcoma (STS), there is uncertainty regarding the clinical significance of pathologic necrosis (PN) after neoadjuvant therapy. Retrospective studies of patients treated with predominately neoadjuvant chemoradiation have demonstrated improvements in overall survival (OS) associated with increased PN,1, 2, 3, 4 with another analysis showing improved freedom from distant metastases with PN ≥90%.5 Recently, a phase 2 trial of treatment escalation with NBTXR3 crystalline hafnium oxide demonstrated a statistically significant doubling in the primary endpoint of favorable pathologic response (fPR).6 In this study, fPR was defined as PN ≥95%, and associated with an improvement in the margin negative (R0) resection rate.6 Resection margins have, in turn, been associated with local control7 as well as distant recurrence and survival in large retrospective databases.8,9 Despite these findings, reports regarding tumor response to radiation therapy (RT) alone are limited, with a small retrospective analysis suggesting an improvement in 3-year distant recurrence-free survival. However, this result was not statistically significant.10
Nevertheless, the use of PN as a clinically meaningful surrogate is controversial, because other investigators have found no association between pathologic response and oncologic outcomes,11, 12, 13 even when stratified with the endpoints of PN ≥95%14, 15, 16 or ≥80%.17 However, these series were limited by smaller sample sizes and confounded by a number of patients receiving concurrent chemotherapy. A more recent retrospective study of 330 patients, with two-third of patient treated with neoadjuvant RT alone, demonstrated improvements in OS and disease-free survival associated with PN ≥95%.18 Treatment with neoadjuvant RT alone tends to be more easily tolerated than chemoradiation, and has been associated with a potential distant control (DC) benefit,10,19 suggesting a potential uncharacterized immunostimulatory quality that may affect oncologic outcomes. To this end, the aim of this single institution retrospective analysis was to assess the influence of fPR after neoadjuvant RT alone on R0 resection rates and patient outcomes.
Methods and Materials
Patients and treatment
After institutional review board approval, a retrospective institutional database of patients with a diagnosis of primary STS and treated with neoadjuvant RT, followed by surgical resection, between 1987 to 2015 was reviewed. Patients were staged according to the American Joint Committee on Cancer system, 8th edition. Neoadjuvant RT was recommended after multidisciplinary discussion with consideration of several factors, including risk of positive margin and anatomic location, tumor grade and size, and histopathologic subtype. The exclusion criteria included age <18 years, recurrent sarcoma, pathologically confirmed metastatic disease at the time of diagnosis, delivery of any neoadjuvant chemotherapy or concurrent chemoradiotherapy, uterine sarcoma, or any bone sarcomas derived from or involving the bone (eg, Ewing's sarcoma, chondrosarcoma, or osteosarcoma). Thus, patients whose standard treatment required neoadjuvant chemotherapy were excluded.
From this cohort of 315 patients, a total of 181 patients had documented pathologic necrosis rates and were included in the final analysis with outcomes of surgical margin status, OS, progression-free survival (PFS), locoregional control (LRC), and DC. In addition, the entire cohort (n = 315) was analyzed to identify factors associated with outcomes that may be underpowered in the subset analyses. Although no patients in this study received neoadjuvant/concurrent chemotherapy before surgery, a subset analysis (n = 148) was performed excluding patients who also received chemotherapy after surgery (eg, adjuvant or postoperative chemotherapy) to account for potential confounding.
All patients underwent preoperative conventionally fractionated external beam RT alone, followed by wide local excision or limb-sparing resection, within 4 months of completing RT. Per institutional protocol, all sarcoma specimens were processed according to the standard practice of the College of American Pathologists20 with standardized grading between 3 specialty-trained sarcoma pathologists across the 30 years of the cohort. In brief, the treated tumor was sectioned by taking 1 full cross-sectional slab at its greatest cross-sectional area with tumor photograph documentation and mapping. Although PN is a component of grading, posttreatment necrosis cannot reliably be distinguished from pretreatment necrosis.21 Therefore, the term “pathologic necrosis” is commonly synonymous with “pathologic response” in this study, meant to depict the proportion of nonviable cancer cells, including necrosis, fibrotic/inflammatory changes, and hemorrhage by meticulous microscopic examination.
The pathologic necrosis/response was documented on the final pathologic report as the sum of all areas, excluding all viable cancer cells, divided by the total cross-sectional tumor. A fPR was defined as PN ≥95%.6,15,18 Only specimens that could be estimated accurately for overall pathologic response by our sarcoma pathologists were included in this cohort. Clinical data for this cohort included clinical tumor (T) stage, clinical nodal (N) stage, tumor grade, tumor location, histology, RT dose, patient age, and Karnofsky performance status (KPS) score.
Statistical analysis
OS, PFS, LRC, and DC were estimated using a Kaplan–Meier analysis, compared via a log-rank test. OS was calculated from the date of diagnosis to the date of last contact or death. PFS was calculated from the date of diagnosis to the first recurrence or death, censored at the date of the last follow up. LRC and DC were calculated from the date of treatment to the date of local or distant recurrence, respectively. Date of recurrence was recorded at the time of pathologic confirmation, if available. However, a radiographic recurrence or progression was recorded if clinically documented.
The association between PN and surgical margin status was assessed with an independent-samples Kruskal–Wallis test, and the association of fPR with surgical margin status was assessed with a Pearson ꭓ2 test. Univariable and multivariable (Cox proportional hazards model) analyses were performed to determine prognostic variables in correlation with the clinical outcomes. The multivariable analysis included clinical T stage, grade, surgical margins, fPR, age (continuous), and KPS (≥80). For all analyses, the type I error was set at 0.05, and all tests were 2-sided. The statistical analysis was performed in SPSS, version 25.0 (IBM Corp.; Armonk, NY).
Results
A total of 315 patients were identified with stage I to III resected STS treated with definitive intent neoadjuvant RT, followed by surgery, and with a documented margin status (Table E1). In this cohort, R0 resection was associated with a significant 5-year LRC benefit (91% vs. 80%; P = .018).
A documented pathologic necrosis rate was identified in 181 patients (57%) with a median follow up of 48 months from diagnosis (Table 1). The median age was 64 years (range, 25-89 years), patients were predominantly male (63%), and had a KPS score of ≥80 (94%; mean KPS: 93), tumor grade 2 to 3 (78%), and extremity tumor location (70%). The median clinical tumor size was 11 cm (range, 2-34 cm), and the preoperative median RT dose was 5000 cGy (range 4000-6000 cGy) with a median time from RT to surgery of 72 days (range: 38-129 days). The mean PN response for the cohort was 59% (range: 0%-100%), and fPR (PN ≥95%) was achieved in 35 patients (19%). A fPR was associated with a higher R0 resection rate (94% vs. 75%; P = .013) and extremity site (97% vs. 64%; P = .008) compared with a PN <95%. A lower stratification point of PN >90% was explored, and there was no association with 5-year DC (64% vs. 65%; P = .87) or PFS (53% vs. 47%; P = .80) in our cohort. There was no significant association between fPR and histologic grade (P = .4), and no significant difference in mean pathologic necrosis (P = .20) or fPR (P = .24) across grade for G1/G2/G3/GX with 39%/50%/64%/48% and 0.8%/17.2%/12.8/5.2%, respectively. There was no association between achieving a fPR and days to surgery from RT (72 vs. 73 days; P = .55).
Table 1.
Clinical and pathologic characteristics of patients with documented pathologic necrosis and comparison of variables between patients achieving fPR (≥95% pathologic necrosis) versus non-fPR (<95% pathologic necrosis)
| Total |
Non-fPR |
fPR |
P | ||||||
|---|---|---|---|---|---|---|---|---|---|
| N = 181 | % | n = 146 | % | n = 35 | % | ||||
| Age | <50 y | 42 | 23.2 | 33 | 22.6 | 9 | 25.7 | .7 | |
| ≥50 y | 139 | 76.8 | 113 | 77.% | 26 | 74.3 | |||
| Sex | Female | 67 | 37.0 | 51 | 34.9 | 16 | 45.7 | .24 | |
| Male | 114 | 63.0 | 95 | 65.1 | 19 | 54.3 | |||
| Histologic grade | Grade 1 | 13 | 7.2 | 12 | 8.2 | 1 | 2.9 | .4 | |
| Grade 2-3 | 141 | 77.9 | 111 | 76.0 | 30 | 85.7 | |||
| Grade unknown | 27 | 14.9 | 23 | 15.8 | 4 | 11.4 | |||
| Tumor location | Extremity | 127 | 70.2 | 93 | 63.7 | 34 | 97.1 | .01 | |
| Retroperitoneal | 25 | 13.8 | 25 | 17.1 | 0 | 0.0 | |||
| Pelvis | 11 | 6.1 | 10 | 6.8 | 1 | 2.9 | |||
| Thorax | 4 | 2.2 | 4 | 2.7 | 0 | 0.0 | |||
| Head/neck | 2 | 1.1 | 2 | 1.4 | 0 | 0.0 | |||
| Abdomen | 12 | 6.6 | 12 | 8.2 | 0 | 0.0 | |||
| Histology type | Chondrosarcoma, NOS | 1 | 0.6 | 1 | 0.7 | 0 | 0.0 | .023 | |
| Extraskeletal chondrosarcoma | Dedifferentiated chondrosarcoma | 1 | 0.6 | 1 | 0.7 | 0 | 0.0 | ||
| Myxoid chondrosarcoma | 3 | 1.6 | 3 | 2.1 | 0 | 0.0 | |||
| Liposarcoma | Dedifferentiated liposarcoma | 14 | 7.7 | 14 | 9.6 | 0 | 0.0 | ||
| Liposarcoma, NOS | 3 | 1.6 | 3 | 2.1 | 0 | 0.0 | |||
| Mixed liposarcoma | 3 | 1.6 | 0 | 0.0 | 3 | 8.6 | |||
| Myxoid liposarcoma | 11 | 6.1 | 6 | 4.1 | 5 | 14.2 | |||
| Pleomorphic liposarcoma | 5 | 2.8 | 4 | 2.7 | 1 | 2.9 | |||
| Well differentiated liposarcoma | 6 | 3.3 | 6 | 4.1 | 0 | 0.0 | |||
| Other | Angiosarcoma | 2 | 1.1 | 2 | 1.3 | 0 | 0.0 | ||
| Dermatofibrosarcoma, NOS | 1 | 0.6 | 1 | 0.7 | 0 | 0.0 | |||
| Ewing sarcoma (extraskeletal) | 2 | 1.1 | 1 | 0.7 | 1 | 2.9 | |||
| Fibrosarcoma, NOS | 3 | 1.6 | 3 | 2.1 | 0 | 0.0 | |||
| Leiomyosarcoma, NOS | 11 | 6.1 | 11 | 7.5 | 0 | 0.0 | |||
| Malignant hemangiopericytoma | 4 | 2.2 | 4 | 2.7 | 0 | 0.0 | |||
| Malignant peripheral nerve sheath tumor | 4 | 2.2 | 4 | 2.7 | 0 | 0.0 | |||
| Malignant solitary fibrous tumor | 2 | 1.1 | 2 | 1.4 | 0 | 0.0 | |||
| Myxofibrosarcoma | 16 | 8.9 | 15 | 10.3 | 1 | 2.9 | |||
| Osteosarcoma, NOS (extraskeletal) | 1 | 0.6 | 1 | 0.7 | 0 | 0.0 | |||
| Rhabdomyosarcoma, NOS | 2 | 1.1 | 2 | 1.3 | 0 | 0.0 | |||
| Synovial sarcoma | 7 | 3.9 | 6 | 4.1 | 1 | 2.9 | |||
| Undifferentiated pleomorphic sarcoma/undifferentiated sarcoma | 46 | 25.4 | 33 | 22.6 | 13 | 37.2 | |||
| Unclassified | Myxoid sarcoma, NOS | 2 | 1.1 | 1 | 0.7 | 1 | 2.9 | ||
| Sarcoma, NOS | 13 | 7.2 | 9 | 6.2 | 4 | 11.3 | |||
| Spindle cell sarcoma, NOS | 18 | 9.9 | 13 | 8.9 | 5 | 14.2 | |||
| Clinical T stage | T1 | 12 | 6.6 | 10 | 6.8 | 2 | 5.7 | .3 | |
| T2 | 63 | 34.8 | 46 | 31.3 | 17 | 48.6 | |||
| T3 | 58 | 32.0 | 47 | 32.0 | 11 | 31.4 | |||
| T4 | 40 | 22.1 | 36 | 24.5 | 4 | 11.4 | |||
| Unknown | 8 | 4.4 | 7 | 4.8 | 1 | 2.9 | |||
| Clinical N stage | 0 | 178 | 98.3 | 143 | 97.3 | 35 | 100.0 | .39 | |
| 1 | 3 | 1.7 | 3 | 2.0 | 0 | 0.0 | |||
| SM status | SM negative | 143 | 79.0 | 110 | 74.8 | 33 | 94.3 | .01 | |
| SM positive | 38 | 21.0 | 36 | 24.5 | 2 | 5.7 | |||
| Karnofsky performance status score | <80 | 9 | 5.0 | 5 | 3.4 | 4 | 11.4 | .12 | |
| ≥80 | 170 | 93.9 | 139 | 94.6 | 31 | 88.6 | |||
| Unknown | 2 | 1.1 | 2 | 1.4 | 0 | 0.0 | |||
| Time to surgery | Days, median (range) | 72 | 38-129 | 73 | 38-129 | 72 | 58-105 | .55 | |
| Radiation therapy dose | Gy, median (range) | 50 | 40-60 | 50 | 40-60 | 50 | 45-60 | .46 | |
fPR, favorable pathologic response (<95% pathologic necrosis); NOS, not otherwise specified; SM, surgical margin
A fPR was associated with a statistically significant 5-year PFS benefit (74% vs. 43%; P = .014; Fig. 1A) and nonstatistically significant improvements in 5-year LRC (94% vs. 85%; P = .24; Fig. 1B), DC (76% vs. 62%; P = .12; Fig. 1C), and OS (76% vs. 61%; P = .27; Fig. 1D) compared with PN <95%. A negative surgical margin, defined as no tumor on ink, was achieved in 143 patients (79%), and associated with a higher PN rate compared with R1 resection (75% vs. 45%; P < .001). R0 resection demonstrated a trend toward association with improved 5-year LRC (89% vs. 79%; P = .14). On multivariable analysis, fPR (hazard ratio: 0.47; 95% confidence interval, 0.25-0.90; P = .022) and high KPS score independently predicted for PFS (Table 2).
Figure 1.
Kaplan–Meier survival analyses comparing time to event for patients achieving favorable pathologic response (≥95% pathologic necrosis) versus those not achieving favorable pathologic response (<95% pathologic necrosis), showing A, progression-free survival, B, locoregional control, C, distant control, and D, overall survival.
Table 2.
Multivariable Cox proportional hazards analyses evaluating clinical and pathologic variables associated with overall survival and PFS
| Overall survival |
PFS |
|||
|---|---|---|---|---|
| Variable | Hazard ratio (95% confidence interval) | P-value | Hazard ratio (95% confidence interval) | P-value |
| cT stage | .182 | |||
| 1 | ref | ref | ref | ref |
| 2 | 1.4 (0.4-4.7) | .6 | 1.0 (0.4-2.7) | 1 |
| 3 | 1.7 (0.5-5.9) | .4 | 1.7 (0.7-4.4) | .3 |
| 4 | 1.5 (0.5-5.4) | .5 | 1.0 (0.4-2.7) | 1 |
| X | 1.6 (0.3-8.0) | .6 | 1.0 (0.3-3.9) | 1 |
| Grade | ||||
| 1 | ref | ref | ref | ref |
| 2 | 1.4 (0.3-8.1) | .7 | 1.3 (0.4-4.8) | .7 |
| 3 | 3.4 (0.8-14.5) | .1 | 2.6 (0.9-7.3) | .07 |
| Unknown | 1.9 (0.4-8.9) | .4 | 1.5 (0.5-4.6) | .5 |
| Surgical margin | ||||
| Negative | ref | ref | ref | ref |
| Positive | 1.3 (0.7-2.3) | .4 | 1.4 (0.8-2.3) | .19 |
| Favorable pathologic response | ||||
| <95% | ref | ref | ref | ref |
| ≥95% | 0.7 (0.3-1.4) | .3 | 0.47 (0.3-0.9) | .022 |
| Patient age | 1.00 (0.99-1.02) | .8 | 1.0 (0.98-1.01) | .77 |
| Karnofsky performance status score | ||||
| <80 | ref | ref | ref | ref |
| ≥80 | 0.4 (0.2-0.98) | .045 | 0.44 (0.2-1.0) | .046 |
| Unknown | 0.8 (0.1-7.4) | .8 | 0.41 (0.05-3.8) | .44 |
PFS, progression-free survival; ref, reference
Although no patients received chemotherapy before surgery, a subset analysis of patients (n = 148) who also did not receive chemotherapy after surgery (eg, adjuvant/postoperative) continued to show an association between fPR and improved 5-year PFS (77% vs. 47%; P = .043).
Discussion
Neoadjuvant RT is increasingly used in the treatment of STS22 with advantages in tumor cytoreduction and capsule fibrosis,23 translating into lower positive margin resection rates,24,25 improved outcomes after marginal excisions,26 and decreased late toxicity, compared with postoperative treatment.27 We present the first data to show that achieving fPR with neoadjuvant RT alone is associated with a lower risk for positive margin resections, and demonstrated a 22% nonsignificant improvement in DC, translating into a significant 31% absolute PFS improvement. On multivariable analysis, fPR was the only variable associated with PFS (more than twice as likely to survive without disease recurrence), suggesting a significant mechanism independent of surgical margins, stage, or performance status.
The influence of tumor response after neoadjuvant RT alone has been unclear, because many studies that show an oncologic benefit of neoadjuvant treatment are confounded by systemic therapy, such as ifosfamide-based regimens, which are associated with improved PN and thought to drive the DC benefit.1,5 However, the widespread adoption of neoadjuvant chemotherapy has been limited by significant toxicity burden,28 and matched-pair analyses comparing neoadjuvant RT alone versus chemoradiation have demonstrated no difference in OS, local control, or DC with the addition of concurrent chemotherapy.29,30 To account for any confounding effects of chemotherapy in our study, a subset analysis of patients who did not receive any chemotherapy (eg, neoadjuvant, concurrent, or adjuvant) showed that achieving a fPR from RT alone was associated with a 30% improvement in 5-year PFS, suggesting the distant DC seen with fPR may be from other unknown mechanisms.
Although chemotherapy frequently induces lymphopenia and an immunosuppressed state, RT has documented immunostimulatory qualities with resulting abscopal and bystander effects.31, 32, 33 In our series, achieving fPR resulted in a 22% relative improvement in DC, which may be related to the immunomodulatory effects of RT, as previously described in sarcoma.34,35 To this end, there has been growing interest in integrating immunomodulatory agents with RT, with the hope of a synergistic immunogenic effect.36,37 Further understanding of the drivers behind the immunomodulatory effects of RT in sarcoma are required, appropriately selecting patients based on gene profiling38 and improved understanding of the influence of tumor-infiltrating lymphocytes.39
Understanding the prognostic value of fPR in STS has been limited by the rarity of the disease, the PN stratification point used in previous experiences, and the heterogeneity in treatment regimens. Notably, PN ≥80% has been shown to have no significant effect on oncologic outcomes in historical experiences with twice daily17 or daily40 neoadjuvant RT. Prior studies have shown that PN ≥90% was associated with improved freedom from distant metastases,5 but in our current study, achieving a 90% response had no association with 5-year DC (64% vs. 65%; P = .87) or PFS (53% vs. 47%; P = .80). In a small analysis of 25 patients, the use of a higher stratification point of PN ≥95% after neoadjuvant RT alone showed an association with improved 3-year event-free survival at 100% versus 59%, but was underpowered to reach statistical significance.14 Analogous to our results, another retrospective analysis of 30 patients after neoadjuvant RT alone showed a nonstatistically significant 37% improvement in 3-year distant recurrence-free survival with an fPR, as well as no differences if stratified at PN 80%.10 Although the statistical power in these experiences was limited by smaller numbers, a larger report of 113 patients treated with chemoradiation with a mesna, adriamycin, ifosfamide, and dacarbazine regiment and a split course RT to 4400 cGy achieved a median PN of 90%, but found no difference in oncologic outcomes at 5 years, likely driven by the excellent outcomes in the PN <95% cohort (5-year LRC and OS ≥85%).15
Local control in STS remains imperative, because recurrences have been associated with poor survival.41,42 Historically, surgical margin status in STS (reviewed by Harati and Lehnhardt43) has been associated with improved locoregional control,44,45 survival,8,46 as well as metastasis-free survival.47 The effect of surgical margins in our comprehensive cohort (n = 315) was consistent with the results of these previous studies, showing that a margin-negative resection offers an 11% LRC benefit after preoperative RT alone. Our study is underpowered to show a significant LRC association with fPR, but a profound improvement in R0 resection rates (19%) contributed to improved LRC and potentially DC.
Finally, significant heterogeneity exists in PN rates between histologic phenotypes. Myxoid liposarcoma has been shown to be particularly radiosensitive with increased rates of PN after neoadjuvant treatment.14,48 This is consistent with our findings, where fPR had a higher proportion of myxoid liposarcoma (14% vs. 4%) than PN <95%. Teasing out the biologic susceptibilities between histologies may be critical in future investigations, because there is now growing evidence of heterogenous radiation sensitivities49 and benefits (eg, STRASS trial)50 within STS.
The limitations of this study include its retrospective nature, and the relatively low incidence of fPR poses difficulty in achieving statistical significance, particularly for modest benefits in LRC and DC. Our institutional practice is for our sarcoma-specialized pathologist to evaluate the specimens for pathologic response, but unfortunately, this not always possible. As a retrospective study, accounting for biases that may have influenced the missing pathologic response data in this study (eg, inadequate processing or documentation) is difficult. Classically, the presence of tumor necrosis is a component of STS grading; however, the pretreatment overall necrosis is difficult to estimate based on biopsy testing alone, potentially confounding the final pathologic response. With a higher baseline necrosis/grade, we would expect a higher pathologic response, which we see from grade 1 versus 2 versus 3 (39% vs. 50% vs. 64%) in this cohort, but the ability to achieve a fPR >95% was lower for grade 3 versus 2 (12.8% vs. 17%). This suggests that higher initial necrosis in grade 3 tumors may affect their average pathologic response, but achieving a 95% response threshold is unlikely affected because the remaining viable tissue may be innately radioresistant/hypoxic.
Conclusions
Achieving an fPR (pathologic necrosis ≥95%) with neoadjuvant RT alone is associated with an improved R0 resection rate, as well as a relative DC benefit, leading to a profound PFS benefit on multivariable analysis. Prospective studies are required to validate this endpoint, and determine the mechanisms responsible for the potential benefit in disease control.
Footnotes
Sources of support: None.
Disclosures: None.
Data sharing statement: Research data are stored in an institutional repository, and will be shared upon request to the corresponding author.
Supplementary material associated with this article can be found in the online version at doi:10.1016/j.adro.2022.101086.
Appendix. Supplementary materials
References
- 1.Eilber FC, Rosen G, Eckardt J, et al. Treatment-induced pathologic necrosis: A predictor of local recurrence and survival in patients receiving neoadjuvant therapy for high-grade extremity soft tissue sarcomas. J Clin Oncol. 2001;19:3203–3209. doi: 10.1200/JCO.2001.19.13.3203. [DOI] [PubMed] [Google Scholar]
- 2.Huth JF, Mirra JJ, Eilber FR. Assessment of in vivo response to preoperative chemotherapy and radiation therapy as a predictor of survival in patients with soft-tissue sarcoma. Am J Clin Oncol. 1985;8:497–503. doi: 10.1097/00000421-198512000-00009. [DOI] [PubMed] [Google Scholar]
- 3.Donahue TR, Kattan MW, Nelson SD, Tap WD, Eilber FR, Eilber FC. Evaluation of neoadjuvant therapy and histopathologic response in primary, high-grade retroperitoneal sarcomas using the sarcoma nomogram. Cancer. 2010;116:3883–3891. doi: 10.1002/cncr.25271. [DOI] [PubMed] [Google Scholar]
- 4.Vaynrub M, Taheri N, Ahlmann ER, et al. Prognostic value of necrosis after neoadjuvant therapy for soft tissue sarcoma. J Surg Oncol. 2015;111:152–157. doi: 10.1002/jso.23775. [DOI] [PubMed] [Google Scholar]
- 5.MacDermed DM, Miller LL, Peabody TD, et al. Primary tumor necrosis predicts distant control in locally advanced soft-tissue sarcomas after preoperative concurrent chemoradiotherapy. Int J Radiat Oncol Biol Phys. 2010;76:1147–1153. doi: 10.1016/j.ijrobp.2009.03.015. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Bonvalot S, Rutkowski PL, Thariat J, et al. NBTXR3, a first-in-class radioenhancer hafnium oxide nanoparticle, plus radiotherapy versus radiotherapy alone in patients with locally advanced soft-tissue sarcoma (Act.In.Sarc): A multicentre, phase 2-3, randomised, controlled trial. Lancet Oncol. 2019;20:1148–1159. doi: 10.1016/S1470-2045(19)30326-2. [DOI] [PubMed] [Google Scholar]
- 7.Trovik CS. Scanadinavian Sarcoma Group Project. Local recurrence of soft tissue sarcoma. A Scandinavian Sarcoma Group Project. Acta Orthop Scand Suppl. 2001;72:1–31. [PubMed] [Google Scholar]
- 8.Pisters PW, Leung DH, Woodruff J, Shi W, Brennan MF. Analysis of prognostic factors in 1041 patients with localized soft tissue sarcomas of the extremities. J Clin Oncol. 1996;14:1679–1689. doi: 10.1200/JCO.1996.14.5.1679. [DOI] [PubMed] [Google Scholar]
- 9.Stojadinovic A, Leung DHY, Hoos A, Jaques DP, Lewis JJ, Brennan MF. Analysis of the prognostic significance of microscopic margins in 2084 localized primary adult soft tissue sarcomas. Ann Surg. 2002;235:424–434. doi: 10.1097/00000658-200203000-00015. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Shah D, Borys D, Martinez SR, et al. Complete pathologic response to neoadjuvant radiotherapy is predictive of oncological outcome in patients with soft tissue sarcoma. Anticancer Res. 2012;32:3911–3915. [PMC free article] [PubMed] [Google Scholar]
- 11.Tsagozis P, Brosjö O, Skorpil M. Preoperative radiotherapy of soft-tissue sarcomas: Surgical and radiologic parameters associated with local control and survival. Clin Sarcoma Res. 2018;8:19. doi: 10.1186/s13569-018-0106-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Cates JMM. Histologic response to neoadjuvant therapy is not predictive of favorable outcomes in high-grade pleomorphic soft tissue sarcoma. Am J Surg Pathol. 2019;43:564–572. doi: 10.1097/PAS.0000000000001214. [DOI] [PubMed] [Google Scholar]
- 13.DeLaney TF, Spiro IJ, Suit HD, et al. Neoadjuvant chemotherapy and radiotherapy for large extremity soft-tissue sarcomas. Int J Radiat Oncol Biol Phys. 2003;56:1117–1127. doi: 10.1016/s0360-3016(03)00186-x. [DOI] [PubMed] [Google Scholar]
- 14.Canter RJ, Martinez SR, Tamurian RM, et al. Radiographic and histologic response to neoadjuvant radiotherapy in patients with soft tissue sarcoma. Ann Surg Oncol. 2010;17:2578–2584. doi: 10.1245/s10434-010-1156-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Mullen JT, Hornicek FJ, Harmon DC, et al. Prognostic significance of treatment-induced pathologic necrosis in extremity and truncal soft tissue sarcoma after neoadjuvant chemoradiotherapy. Cancer. 2014;120:3676–3682. doi: 10.1002/cncr.28945. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Bedi M, King DM, Shivakoti M, et al. Prognostic variables in patients with primary soft tissue sarcoma of the extremity and trunk treated with neoadjuvant radiotherapy or neoadjuvant sequential chemoradiotherapy. Radiat Oncol. 2013;8:60. doi: 10.1186/1748-717X-8-60. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Willett CG, Schiller AL, Suit HD, Mankin HJ, Rosenberg A. The histologic response of soft tissue sarcoma to radiation therapy. Cancer. 1987;60:1500–1504. doi: 10.1002/1097-0142(19871001)60:7<1500::aid-cncr2820600716>3.0.co;2-1. [DOI] [PubMed] [Google Scholar]
- 18.Bonvalot S, Wunder J, Gronchi A, et al. Complete pathological response to neoadjuvant treatment is associated with better survival outcomes in patients with soft tissue sarcoma: Results of a retrospective multicenter study. Eur J Surg Oncol. 2021;47:2166–2172. doi: 10.1016/j.ejso.2021.02.024. [DOI] [PubMed] [Google Scholar]
- 19.Sampath S, Schultheiss TE, Hitchcock YJ, Randall RL, Shrieve DC, Wong JYC. Preoperative versus postoperative radiotherapy in soft-tissue sarcoma: Multi-institutional analysis of 821 patients. Int J Radiat Oncol Biol Phys. 2011;81:498–505. doi: 10.1016/j.ijrobp.2010.06.034. [DOI] [PubMed] [Google Scholar]
- 20.Wei S, Bui M. In: Grossing, staging, and reporting: An integrated manual of modern surgical pathology. Zhai J, editor. College of American Pathologists; Northfield, IL: 2021. Chapter 49: Soft tissue; pp. 249–253. [Google Scholar]
- 21.Wardelmann E, Haas RL, Bovée JVMG, et al. Evaluation of response after neoadjuvant treatment in soft tissue sarcomas; the European Organization for Research and Treatment of Cancer-Soft Tissue and Bone Sarcoma Group (EORTC-STBSG) recommendations for pathological examination and reporting. Eur J Cancer. 2016;53:84–95. doi: 10.1016/j.ejca.2015.09.021. [DOI] [PubMed] [Google Scholar]
- 22.Lazarev S, McGee H, Moshier E, Ru M, Demicco EG, Gupta V. Preoperative vs postoperative radiation therapy in localized soft tissue sarcoma: Nationwide patterns of care and trends in utilization. Pract Radiat Oncol. 2017;7:e507–e516. doi: 10.1016/j.prro.2017.04.010. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Grabellus F, Podleska LE, Sheu SY, et al. Neoadjuvant treatment improves capsular integrity and the width of the fibrous capsule of high-grade soft-tissue sarcomas. Eur J Surg Oncol. 2013;39:61–67. doi: 10.1016/j.ejso.2012.10.009. [DOI] [PubMed] [Google Scholar]
- 24.Gingrich AA, Bateni SB, Monjazeb AM, et al. Neoadjuvant radiotherapy is associated with R0 resection and improved survival for patients with extremity soft tissue sarcoma undergoing surgery: A National Cancer Database analysis. Ann Surg Oncol. 2017;24:3252–3263. doi: 10.1245/s10434-017-6019-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Robinson MH, Ball AB, Schofield J, Fisher C, Harmer CL, Thomas JM. Preoperative radiotherapy for initially inoperable extremity soft tissue sarcomas. Clin Oncol (R Coll Radiol) 1992;4:36–43. doi: 10.1016/s0936-6555(05)80772-1. [DOI] [PubMed] [Google Scholar]
- 26.Dagan R, Indelicato DJ, McGee L, et al. The significance of a marginal excision after preoperative radiation therapy for soft tissue sarcoma of the extremity. Cancer. 2012;118:3199–3207. doi: 10.1002/cncr.26489. [DOI] [PubMed] [Google Scholar]
- 27.O'Sullivan B, Davis AM, Turcotte R, et al. Preoperative versus postoperative radiotherapy in soft-tissue sarcoma of the limbs: A randomised trial. Lancet. 2002;359:2235–2241. doi: 10.1016/S0140-6736(02)09292-9. [DOI] [PubMed] [Google Scholar]
- 28.Kraybill WG, Harris J, Spiro IJ, et al. Phase II study of neoadjuvant chemotherapy and radiation therapy in the management of high-risk, high-grade, soft tissue sarcomas of the extremities and body wall: Radiation Therapy Oncology Group Trial 9514. J Clin Oncol. 2006;24:619–625. doi: 10.1200/JCO.2005.02.5577. [DOI] [PubMed] [Google Scholar]
- 29.Greto D, Loi M, Terziani F, et al. A matched cohort study of radio-chemotherapy versus radiotherapy alone in soft tissue sarcoma patients. Radiol Med. 2019;124:301–308. doi: 10.1007/s11547-018-0939-7. [DOI] [PubMed] [Google Scholar]
- 30.Hazell SZ, Hu C, Alcorn SR, et al. Neoadjuvant chemoradiation compared with neoadjuvant radiation alone in the management of high-grade soft tissue extremity sarcomas. Adv Radiat Oncol. 2020;5:231–237. doi: 10.1016/j.adro.2019.08.015. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Lhuillier C, Rudqvist NP, Elemento O, Formenti SC, Demaria S. Radiation therapy and anti-tumor immunity: Exposing immunogenic mutations to the immune system. Genome Med. 2019;11:40. doi: 10.1186/s13073-019-0653-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Portella L, Scala S. Ionizing radiation effects on the tumor microenvironment. Semin Oncol. 2019;46:254–260. doi: 10.1053/j.seminoncol.2019.07.003. [DOI] [PubMed] [Google Scholar]
- 33.Menon H, Chen D, Ramapriyan R, et al. Influence of low-dose radiation on abscopal responses in patients receiving high-dose radiation and immunotherapy. J Immunother Cancer. 2019;7:237. doi: 10.1186/s40425-019-0718-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Orton A, Wright J, Buchmann L, Randall L, Hitchcock YJ. A case of complete abscopal response in high-grade pleiomorphic sarcoma treated with radiotherapy alone. Cureus. 2016;8:e821. doi: 10.7759/cureus.821. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Brenneman RJ, Sharifai N, Fischer-Valuck B, et al. Abscopal effect following proton beam radiotherapy in a patient with inoperable metastatic retroperitoneal sarcoma. Front Oncol. 2019;9 doi: 10.3389/fonc.2019.00922. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Mowery YM, Ballman KV, Riedel RF, et al. SU2C-SARC032: A phase II randomized controlled trial of neoadjuvant pembrolizumab with radiotherapy and adjuvant pembrolizumab for high-risk soft tissue sarcoma. J Clin Oncol. 2018;36:TPS11588. [Google Scholar]
- 37.le Guevelou J, Debaigt C, Saada-Bouzid E, et al. Phase II study of concomitant radiotherapy with atezolizumab in oligometastatic soft tissue sarcomas: STEREOSARC trial protocol. BMJ Open. 2020;10 doi: 10.1136/bmjopen-2020-038391. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Merry E, Thway K, Jones RL, Huang PH. Predictive and prognostic transcriptomic biomarkers in soft tissue sarcomas. NPJ Precis Oncol. 2021;5:17. doi: 10.1038/s41698-021-00157-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Mullinax JE, Hall M, Beatty M, et al. Expanded tumor-infiltrating lymphocytes from soft tissue sarcoma have tumor-specific function. J Immunother. 2021;44:63–70. doi: 10.1097/CJI.0000000000000355. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Hew L, Kandel R, Davis A, O'Sullivan B, Catton C, Bell R. Histological necrosis in soft tissue sarcoma following preoperative irradiation. J Surg Oncol. 1994;57:111–114. doi: 10.1002/jso.2930570208. [DOI] [PubMed] [Google Scholar]
- 41.Eilber FC, Rosen G, Nelson SD, et al. High-grade extremity soft tissue sarcomas: Factors predictive of local recurrence and its effect on morbidity and mortality. Ann Surg. 2003;237:218–226. doi: 10.1097/01.SLA.0000048448.56448.70. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Gronchi A, Lo Vullo S, Colombo C, et al. Extremity soft tissue sarcoma in a series of patients treated at a single institution: Local control directly impacts survival. Ann Surg. 2010;251:506–511. doi: 10.1097/SLA.0b013e3181cf87fa. [DOI] [PubMed] [Google Scholar]
- 43.Harati K, Lehnhardt M. The changing paradigm of resection margins in sarcoma resection. Innov Surg Sci. 2017;2:165–170. doi: 10.1515/iss-2017-0043. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Gronchi A, Casali PG, Mariani L, et al. Status of surgical margins and prognosis in adult soft tissue sarcomas of the extremities: A series of patients treated at a single institution. J Clin Oncol. 2005;23:96–104. doi: 10.1200/JCO.2005.04.160. [DOI] [PubMed] [Google Scholar]
- 45.Bonvalot S, Levy A, Terrier P, et al. Primary extremity soft tissue sarcomas: Does local control impact survival? Ann Surg Oncol. 2017;24:194–201. doi: 10.1245/s10434-016-5462-2. [DOI] [PubMed] [Google Scholar]
- 46.Zagars GK, Ballo MT, Pisters PWT, et al. Prognostic factors for patients with localized soft-tissue sarcoma treated with conservation surgery and radiation therapy: An analysis of 1225 patients. Cancer. 2003;97:2530–2543. doi: 10.1002/cncr.11365. [DOI] [PubMed] [Google Scholar]
- 47.Harati K, Goertz O, Pieper A, et al. Soft tissue sarcomas of the extremities: Surgical margins can be close as long as the resected tumor has no ink on it. Oncologist. 2017;22:1400–1410. doi: 10.1634/theoncologist.2016-0498. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.de Vreeze RSA, de Jong D, Haas RL, Stewart F, van Coevorden F. Effectiveness of radiotherapy in myxoid sarcomas is associated with a dense vascular pattern. Int J Radiat Oncol Biol Phys. 2008;72:1480–1487. doi: 10.1016/j.ijrobp.2008.03.008. [DOI] [PubMed] [Google Scholar]
- 49.Yang G, Yuan Z, Ahmed K, et al. Genomic identification of sarcoma radiosensitivity and the clinical implications for radiation dose personalization. Transl Oncol. 2021;14 doi: 10.1016/j.tranon.2021.101165. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Bonvalot S, Gronchi A, Le Pechoux C, et al. STRASS (EORTC 62092): A phase III randomized study of preoperative radiotherapy plus surgery versus surgery alone for patients with retroperitoneal sarcoma. J Clin Oncol. 2019;37:11001. [Google Scholar]
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