scholarly journals Gene expression identifies heterogeneity of metastatic propensity in high-grade soft tissue sarcomas

Cancer ◽  
2012 ◽  
Vol 118 (17) ◽  
pp. 4235-4243 ◽  
Author(s):  
Keith M. Skubitz ◽  
Princy Francis ◽  
Amy P. N. Skubitz ◽  
Xianghua Luo ◽  
Mef Nilbert
2013 ◽  
Vol 14 (12) ◽  
pp. r137 ◽  
Author(s):  
Marcus Renner ◽  
Thomas Wolf ◽  
Hannah Meyer ◽  
Wolfgang Hartmann ◽  
Roland Penzel ◽  
...  

2013 ◽  
Vol 31 (15_suppl) ◽  
pp. 10561-10561
Author(s):  
Keith M. Skubitz ◽  
Amy Skubitz ◽  
Wayne Xu ◽  
Xianghua Luo ◽  
Pauline Lagarde ◽  
...  

10561 Background: The biologic heterogeneity of soft tissue sarcomas (STS) complicates treatment. Metastatic propensity may be determined by gene expression patterns that do not correlate well with morphology. In earlier studies, gene expression patterns were identified that distinguish 2 subsets of clear cell renal carcinoma (RCC), serous ovarian carcinoma (OVCA), and aggressive fibromatosis (AF). We reported the use of a gene set derived from these three studies to separate 73 high grade STS into groups with different probabilities of developing metastatic disease (PrMet). We wished to confirm our findings using an independent data set. Methods: We utilized these gene sets, hierarchical clustering (HC), Kaplan-Meier, and log-rank analyses to examine the Affymetrix HU_133 expression profiles of 309 STS. Results: HC using a pooled gene set derived from the AF-, RCC-, and OVCA-gene sets identified subsets of the STS samples. Kaplan-Meier analysis revealed differences in PrMet between the clusters defined by the first branch point of the clustering dendrogram (p=0.048), and also among the 4 different clusters defined by the second branch points (p<0.0001). Analysis also revealed differences in PrMet between the leiomyosarcomas (LMS), dedifferentiated liposarcomas (LipoD), and undifferentiated pleomorphic sarcomas (UDS) (p=0.0004). HC of the LipoD and UDS samples with the pooled probe set divided the samples into 2 groups with different PrMet (p=0.013, and 0.0002, respectively). HC of the UDS samples also showed 4 groups with different PrMet (p=0.0007). In contrast, HC found no subgroups of the LMS samples. Each individual gene set (AF-, RCC-, and OVCA-) separated the UDS samples into subsets of different metastatic outcome, but only the AF- gene set separated the LipoD samples, and no gene set identified LMS subsets. Conclusions: These data confirm our earlier studies and suggest that this approach may allow the identification of more than 2 subsets of high grade STS, each with distinct clinical behavior, and may be useful to stratify STS in clinical trials and in patient management.


2014 ◽  
Vol 12 (1) ◽  
pp. 176 ◽  
Author(s):  
Keith M Skubitz ◽  
Amy PN Skubitz ◽  
Wayne W Xu ◽  
Xianghua Luo ◽  
Pauline Lagarde ◽  
...  

Author(s):  
Paolo Spinnato ◽  
Andrea Sambri ◽  
Tomohiro Fujiwara ◽  
Luca Ceccarelli ◽  
Roberta Clinca ◽  
...  

: Myxofibrosarcoma is one of the most common soft tissue sarcomas in the elderly. It is characterized by an extremely high rate of local recurrence, higher than other soft tissue tumors, and a relatively low risk of distant metastases.Magnetic resonance imaging (MRI) is the imaging modality of choice for the assessment of myxofibrosarcoma and plays a key role in the preoperative setting of these patients.MRI features associated with high risk of local recurrence are: high myxoid matrix content (water-like appearance of the lesions), high grade of contrast enhancement, presence of an infiltrative pattern (“tail sign”). On the other hand, MRI features associated with worse sarcoma specific survival are: large size of the lesion, deep location, high grade of contrast enhancement. Recognizing the above-mentioned imaging features of myxofibrosarcoma may be helpful to stratify the risk for local recurrence and disease-specific survival. Moreover, the surgical planning should be adjusted according to the MRI features


1989 ◽  
Vol 7 (9) ◽  
pp. 1217-1228 ◽  
Author(s):  
A E Chang ◽  
S M Steinberg ◽  
M Culnane ◽  
M H Lampert ◽  
A J Reggia ◽  
...  

We have documented functional and psychosocial changes in patients with extremity soft tissue sarcomas who have undergone multimodality limb-sparing treatments. In 88 patients, parameters related to economic status, sexual activity, pain, limb function, and global quality of life (QOL) were recorded prior to surgery and every 6 months postoperatively. Changes from the preoperative assessment for every parameter were analyzed in each patient. Six months after surgery, there was a decrease in employment status, sexual activity, and in limb function in a significant number of patients. At 12 months, these decreases were still evident. Despite these changes, global QOL measured by a standardized test showed at least some improvement in a significant proportion of patients at 12 months. These findings highlight the difficulty in defining QOL. It could not be ascertained if radiation therapy and/or chemotherapy were causative factors in specific changes because of the small numbers of patients in each subgroup. However, among 60 patients with high-grade sarcomas, significant wound problems developed in 10 of 33 who received postoperative radiation therapy in combination with adjuvant doxorubicin and cyclophosphamide chemotherapy compared with one of 27 patients who received adjuvant chemotherapy alone (P = .016). Also, among high-grade sarcoma patients with 12-month follow-up, six of 19 patients who received radiation therapy and chemotherapy developed joint contractures compared with zero of 15 patients who received chemotherapy alone (P less than .04). The combination of postoperative radiation therapy and chemotherapy appeared to be associated with significantly more tissue-related injury in patients with high-grade sarcomas compared with chemotherapy alone.


2003 ◽  
Vol 237 (2) ◽  
pp. 218-226 ◽  
Author(s):  
Fritz C. Eilber ◽  
Gerald Rosen ◽  
Scott D. Nelson ◽  
Michael Selch ◽  
Frederick Dorey ◽  
...  

2010 ◽  
Vol 21 (11-12) ◽  
pp. 577-582 ◽  
Author(s):  
Jennifer A. Mahoney ◽  
Julie C. Fisher ◽  
Stacey A. Snyder ◽  
Marlene L. Hauck

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