| Literature DB >> 33810165 |
Chiara Fabbroni1, Giovanni Fucà1, Francesca Ligorio1, Elena Fumagalli1, Marta Barisella2, Paola Collini2, Carlo Morosi3, Alessandro Gronchi4, Angelo Paolo Dei Tos5,6, Paolo Giovanni Casali1,7, Roberta Sanfilippo1.
Abstract
BACKGROUND: We previously showed that grading can prognosticate the outcome of retroperitoneal liposarcoma (LPS). In the present study, we aimed to explore the impact of pathological stratification using grading on the clinical outcomes of patients with advanced well-differentiated LPS (WDLPS) and dedifferentiated LPS (DDLPS) treated with trabectedin. PATIENTS: We included patients with advanced WDLPS and DDLPS treated with trabectedin at the Fondazione IRCCS Istituto Nazionale dei Tumori between April 2003 and November 2019. Tumors were categorized in WDLPS, low-grade DDLPS, and high-grade DDLPS according to the 2020 WHO classification. Patients were divided in two cohorts: Low-grade (WDLPS/low-grade DDLPS) and high-grade (high-grade DDLPS).Entities:
Keywords: chemotherapy; grading; liposarcoma; soft tissue sarcoma; trabectedin
Year: 2021 PMID: 33810165 PMCID: PMC8005098 DOI: 10.3390/cancers13061453
Source DB: PubMed Journal: Cancers (Basel) ISSN: 2072-6694 Impact factor: 6.639
Patients’ disease and treatment characteristics.
| Characteristics | Low-Grade Cohort | High-Grade Cohort | Total | |
|---|---|---|---|---|
| 0.763 | ||||
| 0.030 | ||||
| 0.039 | ||||
| 0.001 | ||||
| 0.960 | ||||
| 0.167 | ||||
| 0.008 |
* Chi-square test, Fisher’s exact test, or Wilcoxon test, as appropriate. Abbreviations. ECOG PS: Eastern Cooperative Oncology Group performance status.
Best response according to grading.
| Characteristic | Low-Grade Cohort | High-Grade Cohort | Total |
|---|---|---|---|
|
| 8 (47) | 3 (9.4) | 11 (22.4) |
|
| 16 (94.1) | 16 (50) | 32 (65.3) |
Abbreviations. PR: Partial response; MR: Minor response; SD: Stable disease; PD: Progressive disease.
Logistic regression analyses for objective response.
| Characteristics | Univariate Analysis | Multivariable Model | ||
|---|---|---|---|---|
| OR (95% CI) | OR (95% CI) | |||
| 0.031 | 0.030 | |||
| 0.520 | - | |||
| 0.319 | - | |||
| 0.044 | 0.135 | |||
| 0.593 * | - | |||
| 0.162 | - | |||
| 0.006 | 0.043 | |||
* Firth’s bias reduction method. Abbreviations. OR: Odds ratio; CI: Confidence interval; Ref: Reference; ECOG PS: Eastern Cooperative Oncology Group performance status.
Figure 1Kaplan–Meier curves for progression-free survival (PFS) (A) and OS (B) according to pathological stratification. Dark green lines indicate patients in the low-grade cohort whereas orange lines indicate patients in the high-grade cohort.
Cox proportional-hazards regression models for PFS.
| Characteristics | Univariate Analysis | Multivariable Model | ||
|---|---|---|---|---|
| HR (95% CI) | HR (95% CI) | |||
| 0.214 | - | |||
| 0.113 | - | |||
| 0.007 | 0.070 | |||
| 0.250 | - | |||
| 0.657 | - | |||
| 0.395 | - | |||
| 0.006 | 0.035 | |||
Abbreviations. HR: Hazard ratio; CI: Confidence interval; Ref: Reference; ECOG PS: Eastern Cooperative Oncology Group performance status.
Figure 2Anecdotal mixed response to trabectedin in a patient with double dedifferentiated liposarcoma (DDLPS) component. (A) shows the different dynamic of response to trabectedin of the low-grade, laterocervical component (low-grade DDLPS) vs. the high-grade, abdominal component (high-grade DDLPS). (B) (T2 weighted magnetic resonance imaging) and (C) (computerized tomography scan) show the RECIST tumor response at specific time-points of the low-grade, laterocervical component and of the high-grade, abdominal component, respectively.