Applicability of the Sarculator and MSKCC nomograms to retroperitoneal sarcoma prognostication in an Asian tertiary center

Wong, Ru Xin; Koh, Yen Sin; Ong, Faith; Farid, Mohamad; Tay, Timothy Kwang Yong; Teo, Melissa Ching Ching

doi:10.1016/j.asjsur.2020.01.005

Cited by 10 publications

(17 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Furthermore, we demonstrated the ability of a five-gene dedifferentiation signature to stratify retroperitoneal DDLS into good and poor prognostic groups, and further showed that this prediction offers additional information beyond that provided by clinical information alone. This finding is complementary to work by other groups who developed nomograms utilising clinical data to predict recurrence and OS [ 22 , 23 , 24 ]. Potentially, a combination of both clinical and molecular information offers the best approach for the prognosis of patients as a clinical adjunct for more accurate patient counselling and improved identification of patients who may benefit from more aggressive treatment or adjuvant therapy for optimum disease control.…”

Section: Discussionsupporting

confidence: 62%

Gene Expression Changes Associated with Dedifferentiation in Liposarcoma Predict Overall Survival

Shannon

Tan

et al. 2021

Cancers

View full text Add to dashboard Cite

Up to 10% of well-differentiated liposarcoma (WDLS) progress to dedifferentiated liposarcoma (DDLS). We aimed to identify gene expression changes associated with dedifferentiation and whether these were informative of tumour biology of DDLS. We analysed datasets from the Gene Expression Omnibus (GEO, ID = GSE30929) database to identify differentially expressed genes between WDLS (n = 52) and DDLS (n = 39). We validated the signature on whole and laser-capture microdissected samples from patients with tumours consisting of mixed WDLS and DDLS components. A subset of this signature was applied to an independent dataset from The Cancer Genome Atlas (TCGA, n = 58 DDLS) database to segregate samples based on gene expression and compared for recurrence and overall survival (OS). A 15-gene signature consisting of genes with increased expression in DDLS compared to WDLS was generated. This signature segregated WDLS and DDLS samples from patients with mixed component tumours and across multiple recurrences. A further subset of this signature, consisting of five genes (AQP7, ACACB, FZD4, GPD1, LEP), segregated DDLS in a TCGA cohort with a significant difference in OS (p = 0.019) and recurrence-free survival (RFS) (p = 0.061). The five-gene model stratified DDLS into prognostic groups and outperformed clinical factors in existing models in retroperitoneal DDLS.

show abstract

Section: Discussionsupporting

confidence: 62%

Gene Expression Changes Associated with Dedifferentiation in Liposarcoma Predict Overall Survival

Shannon

Tan

et al. 2021

Cancers

View full text Add to dashboard Cite

show abstract

“…The authors concluded that the concordance indices of both the 7-year OS from the Sarculator and the 8-year specific sarcoma survival had good discriminative ability. The other time points had an acceptable discriminative ability, but their concordance was inferior, probably because of the patient characteristic differences between the reference and studied groups (97).…”

Section: Prognostic Factors and Specific Nomogramsmentioning

confidence: 91%

“…Finally, dedifferentiated LPS could relapse locally or distantly (8,12,13,30). In a study performed by Lewis et (97). For clinicians, evaluating patient prognosis is a key issue and is necessary for adapting treatment.…”

Section: Prognostic Factors and Specific Nomogramsmentioning

confidence: 99%

See 1 more Smart Citation

A critical narrative review of radiotherapy for retroperitoneal soft tissue sarcoma

et al. 2020

View full text Add to dashboard Cite

Retroperitoneal sarcomas (RPSs) are rare diseases, and the 5-year overall survival rate remains low. Management of RPSs is challenging, and the quality of treatment strategy is a crucial prognostic factor.Treatment decisions and the treatment department to which the patients is referred must be centralized.Overall survival rate is positively correlated with the number of patients treated in the centers. En bloc surgery is the standard of care for effective treatment and potential for cure, whereas perioperative chemotherapy or radiotherapy has not yet been validated. Pre-or postoperative radiotherapy was considered controversial, but the STRASS trial publication illustrated that preoperative radiation could be useful in some conditions.Retroperitoneal liposarcoma might become a future target of prospective trials. Furthermore, some retrospective studies have shown that preoperative radiotherapy increases the rate of R0-R1 resections. This article reviews the role of external beam radiotherapy in the management of RPS and highlights the optimal volumes, doses, and radiotherapy techniques for the treatment of RPS. As accurately predicting prognosis in patients with RPS is challenging, we also emphasize the utility of nomograms in the field of radiotherapy.However, these nomograms do not include radiotherapy as a predictive factor. Although some authors could conclude that use of radiotherapy should be avoided based on the results of the STRASS trial, some data argue that radiotherapy still has utility in select cases.

show abstract

“…Considering the various clinicopathologic characteristics that could affect the prognosis of patients with extremity liposarcoma, an instrument integrating the relevant prognostic predictors is urgently needed to facilitate therapeutic invention and enhance patient quality of life. The nomogram is a pictorial representation of a multivariable model in which the relative contribution of each covariate on the outcome of interest is considered, and nomograms are a practical tool in oncology and medicine [3,[18][19][20]. However, no extremity liposarcoma-specific nomogram has been established for estimating individual patient outcomes by integrating all relevant predictors.…”

Section: Introductionmentioning

confidence: 99%

Nomogram for predicting the overall survival and cancer-specific survival of patients with extremity liposarcoma: a population-based study

Wang

et al. 2020

BMC Cancer

View full text Add to dashboard Cite

Background Extremity liposarcoma represents 25% of extremity soft tissue sarcoma and has a better prognosis than liposarcoma occurring in other anatomic sites. The purpose of this study was to develop two nomograms for predicting the overall survival (OS) and cancer-specific survival (CSS) of patients with extremity liposarcoma. Methods A total of 2170 patients diagnosed with primary extremity liposarcoma between 2004 and 2015 were extracted from the Surveillance, Epidemiology, and End Results (SEER) database. Univariate and multivariate Cox analyses were performed to explore the independent prognostic factors and establish two nomograms. The area under the curve (AUC), C-index, calibration curve, decision curve analysis (DCA), Kaplan-Meier analysis, and subgroup analyses were used to evaluate the nomograms. Results Six variables were identified as independent prognostic factors for both OS and CSS. In the training cohort, the AUCs of the OS nomogram were 0.842, 0.841, and 0.823 for predicting 3-, 5-, and 8-year OS, respectively, while the AUCs of the CSS nomogram were 0.889, 0.884, and 0.859 for predicting 3-, 5-, and 8-year CSS, respectively. Calibration plots and DCA revealed that the nomogram had a satisfactory ability to predict OS and CSS. The above results were also observed in the validation cohort. In addition, the C-indices of both nomograms were significantly higher than those of all independent prognostic factors in both the training and validation cohorts. Stratification of the patients into high- and low-risk groups highlighted the differences in prognosis between the two groups in the training and validation cohorts. Conclusion Age, sex, tumor size, grade, M stage, and surgery status were confirmed as independent prognostic variables for both OS and CSS in extremity liposarcoma patients. Two nomograms based on the above variables were established to provide more accurate individual survival predictions for extremity liposarcoma patients and to help physicians make appropriate clinical decisions.

show abstract

Applicability of the Sarculator and MSKCC nomograms to retroperitoneal sarcoma prognostication in an Asian tertiary center

Cited by 10 publications

References 14 publications

Gene Expression Changes Associated with Dedifferentiation in Liposarcoma Predict Overall Survival

Gene Expression Changes Associated with Dedifferentiation in Liposarcoma Predict Overall Survival

A critical narrative review of radiotherapy for retroperitoneal soft tissue sarcoma

Nomogram for predicting the overall survival and cancer-specific survival of patients with extremity liposarcoma: a population-based study

Contact Info

Product

Resources

About