U133A microarray results were processed using the RMA method(11 (link)). The 140 primary liposarcoma samples were randomly split into a training set (n=95) and a test set (n=45) with stratification for length of follow-up and liposarcoma subtype. The supervised principal component method was used to generate the multi-gene predictor on a continuous scale from the training set data. The multi-gene predictor was then applied in the independent test set to calculate a genomic risk score (GRS) for each patient, using the R software and the superpc package (12 (link)). The statistical significance of GRS as predictor of DRFS was evaluated using proportional hazard regression in univariate analysis and in multivariate analysis adjusting for histologic subtype. The predictiveness of GRS was evaluated using the concordance probability computed using the phcpe package (13 ). The marginal effect of each gene in the multi-gene predictor was evaluated in the training set using proportional hazards regression and was dichotomized at the median for generating the Kaplan-Meier curves.
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Liposarcoma
Liposarcoma
Liposarcoma is a type of soft tissue sarcoma that originates from adipocytic precursor cells.
It is characterized by the proliferation of malignant adipocytes and can occur in various anatomical locations, most commonly in the extremities and retroperitoneum.
Liposarcomas are classified into several subtypes based on their histological features and clinical behavior, including well-differentiated, dedifferentiated, myxoid, round cell, and pleomorphic liposarcomas.
These subtypes have different prognoses and treatment approaches.
Liposarcoma can be a challenging disease to manage, and ongoing research aims to enhance reproducibility, accuracy, and the identification of effective therapies through innovative approaches like PubCompare.ai, which leverages artificial intelligence to optimize liposarcoma research.
It is characterized by the proliferation of malignant adipocytes and can occur in various anatomical locations, most commonly in the extremities and retroperitoneum.
Liposarcomas are classified into several subtypes based on their histological features and clinical behavior, including well-differentiated, dedifferentiated, myxoid, round cell, and pleomorphic liposarcomas.
These subtypes have different prognoses and treatment approaches.
Liposarcoma can be a challenging disease to manage, and ongoing research aims to enhance reproducibility, accuracy, and the identification of effective therapies through innovative approaches like PubCompare.ai, which leverages artificial intelligence to optimize liposarcoma research.
Most cited protocols related to «Liposarcoma»
Genes
Genome
Liposarcoma
Microarray Analysis
Multiple Birth Offspring
Patients
Cell Lines
Liposarcoma
Microarray Analysis
Streptococcal Infections
Carcinoma, Transitional Cell
Cells
Embryo
Gene Expression
Genes
Liposarcoma
Microarray Analysis
Neoplasms
Stem, Plant
Telomerase
SW872 (undifferentiated LPS) and SA-4 (classified as “liposarcoma”) were both purchased from ATCC. LISA-2, generated from a metastasis of a poorly differentiated liposarcoma [10 (link)], was provided by Dr. Möller. FU-DDLS-1 and LPS141, both established from DDLPS tumors [7 (link), 9 (link)], were gifts from Dr. Nishio and Dr. Fletcher, respectively. GOT-3, generated from a recurrence of a myxoid variant of a WDLPS [8 (link)], was provided by Dr. Åman. T449 and T778 were established from a primary WDLPS and its recurrence, respectively, and T1000 (from a WDLPS recurrence) were all gifts from Dr. Pedeutour. The cells were maintained in RPMI-1640 (Lonza); 10% fetal bovine serum (FBS) (PAA laboratories Gmbh, Pashing, Austria); GlutaMAX and penicillin/streptomycin (both from Life Technologies, Carlsbad, CA). Short-tandem-repeat- (STR-) DNA profiling of 15 loci and amelogenin was performed (Genetica DNA Laboratories, OH, USA). For SW872, the obtained STR-DNA profile was compared with the ATCC database, while T449 and T778 were compared to each other. Amelogenin status was compared to the patient gender, when known. Primary human mesenchymal stroma cells (hMSCs) (obtained from the hip of a healthy female donor), provided by Dr. Kvalheim and Mr. Wang (Norwegian Radium Hospital), were cultured in minimum essential medium alpha medium (Life Technologies); 20% FBS; GlutaMAX and penicillin/streptomycin. Informed consent and sample collection were approved by the Ethical Committee of Southern Norway (S-90128).
alpha minimal essential medium
Amelogenin
Cells
Fetal Bovine Serum
Gifts
Homo sapiens
Liposarcoma
Mesenchymal Stromal Cells
Neoplasm Metastasis
Neoplasms
Patients
Penicillins
Radium
Recurrence
Short Tandem Repeat
Specimen Collection
Streptomycin
Tissue Donors
Well Differentiated Liposarcoma
Alleles
Amelogenin
Amino Acids, Essential
Cell Lines
CHASE protocol
DNA Fingerprints
Eagle
Glutamine
HeLa Cells
HEPES
L15 culture medium
Liposarcoma
Liposarcoma, Pleomorphic
Malignant Neoplasms
Penicillins
Pyruvate
Sodium
Streptomycin
Telomere
Tetranucleotide Repeats
Vitamins
Well Differentiated Liposarcoma
Most recents protocols related to «Liposarcoma»
Staining was compared among UC, inflammatory non-neoplastic (cystitis), and normal urinary bladder samples. A histologically confirmed canine metastatic hemangiosarcoma served as a positive control for VEGFR2; a canine liposarcoma served as a positive control for KIT; a canine squamous cell carcinoma served as a positive control for PDGFR-β; and a canine mesenchymal neoplasm was used as a positive control for CDK4 (Suppl. Figs. 1–4 ). A negative control that omitted incubation with the primary antibody (antibody diluent with no antibody) was included for each sample.
Samples were evaluated for urothelial expression of VEGFR2, KIT, PDGFR-β, and CDK4 in an anonymized study by 3 veterinary pathologists, each from a different institution. A qualitative immunohistochemical assessment was performed to evaluate staining intensity. As described previously,32
staining intensity was assessed over the whole sample at 200 × magnification (0 = none, 1 = mild, 2 = moderate, 3 = intense). Staining distribution (% urothelial cells affected) was evaluated semi-quantitatively over 10 hpfs at 400 × magnification (0 = no staining, 1 = >0% to <10% positive, 2 = ≥10% to <25% positive, 3 = ≥25% to 50% positive, 4 = ≥50% to <75% positive, 5 = ≥75% positive). To calculate a score for every sample, the average scores were taken and called the standardized score. After averaging the 10 selected fields, a final immunohistochemical score for each sample was calculated by multiplying the intensity (qualitative) standardized score by the staining distribution (semi-quantitative) standardized score, as described previously.3 (link),22 (link)
Samples were evaluated for urothelial expression of VEGFR2, KIT, PDGFR-β, and CDK4 in an anonymized study by 3 veterinary pathologists, each from a different institution. A qualitative immunohistochemical assessment was performed to evaluate staining intensity. As described previously,32
staining intensity was assessed over the whole sample at 200 × magnification (0 = none, 1 = mild, 2 = moderate, 3 = intense). Staining distribution (% urothelial cells affected) was evaluated semi-quantitatively over 10 hpfs at 400 × magnification (0 = no staining, 1 = >0% to <10% positive, 2 = ≥10% to <25% positive, 3 = ≥25% to 50% positive, 4 = ≥50% to <75% positive, 5 = ≥75% positive). To calculate a score for every sample, the average scores were taken and called the standardized score. After averaging the 10 selected fields, a final immunohistochemical score for each sample was calculated by multiplying the intensity (qualitative) standardized score by the staining distribution (semi-quantitative) standardized score, as described previously.3 (link),22 (link)
Canis familiaris
Cells
Cystitis
Figs
Hemangiosarcoma
Immunoglobulins
Inflammation
Liposarcoma
Mesenchyma
Neoplasms
Pathologists
Platelet-Derived Growth Factor beta Receptor
Squamous Cell Carcinoma
Urinary Bladder
Urothelium
Vascular Endothelial Growth Factor Receptor-2
Statistical analysis will be performed at the JCOG Data Center. The primary analysis will be performed 6 months after the end of accrual, when collection of the primary endpoint data for all enrolled patients is expected to be complete. The treatment protocol with the best point estimate of the HR for PFS, which is the primary endpoint of this study, will be the test treatment arm in a subsequent phase III trial. However, the treatment arm for the phase III trial will be decided comprehensively if the following results are obtained, taking into consideration endpoints other than PFS. First, the PFS obtained is substantially lower than expected (insufficient results for promising therapy). Second, the overall survival results differ significantly from those of PFS. Third, the frequency of adverse events among the arms differs significantly from the expected frequency.
For the primary analysis of PFS, the respective HRs of arms A to B and A to C will be calculated using an unstratified Cox proportional-hazards model for all enrolled patients, and the treatment with the best HR will be judged to be the most promising regimen. Since this study does not make judgments based on hypothesis testing, no significance level is set a priori, and no adjustment will be made for multiplicity.
Subgroup analyses based on the factors mentioned below are to be conducted, as necessary. The factors for which subgroup analyses are planned include age group 1 (< 40/ ≥ 40 years), age group 2 (< 70/ ≥ 70 years), sex (male/female), PS (0/1 and 2), histological type (liposarcoma/leiomyosarcoma/translocation-related sarcoma/other), distant metastasis 1 [(M1 and/or N1)/other], distant metastasis 2 [M1/(N1 and M0)/other], and doxorubicin (perioperative chemotherapy/palliative chemotherapy).
For the primary analysis of PFS, the respective HRs of arms A to B and A to C will be calculated using an unstratified Cox proportional-hazards model for all enrolled patients, and the treatment with the best HR will be judged to be the most promising regimen. Since this study does not make judgments based on hypothesis testing, no significance level is set a priori, and no adjustment will be made for multiplicity.
Subgroup analyses based on the factors mentioned below are to be conducted, as necessary. The factors for which subgroup analyses are planned include age group 1 (< 40/ ≥ 40 years), age group 2 (< 70/ ≥ 70 years), sex (male/female), PS (0/1 and 2), histological type (liposarcoma/leiomyosarcoma/translocation-related sarcoma/other), distant metastasis 1 [(M1 and/or N1)/other], distant metastasis 2 [M1/(N1 and M0)/other], and doxorubicin (perioperative chemotherapy/palliative chemotherapy).
Age Groups
Arm, Upper
Doxorubicin
Leiomyosarcoma
Liposarcoma
Males
Neoplasm Metastasis
Patients
Pharmacotherapy
Sarcoma
Translocation, Chromosomal
Treatment Protocols
Woman
Kaplan–Meier analysis was performed to evaluate the endpoints of overall survival (OS), disease-free survival (DFS), distant metastasis-free survival (DMFS), and local relapse-free survival (LRFS). OS was defined as the time from initial pathologic diagnosis (date of biopsy) to death. DFS was defined as time to tumor relapse (local, regional, or distant), time to second malignancy, or time to death; DMFS was defined as time to systemic relapse or time to death; LRFS was defined as time to local or regional lymphatic relapse or time to death.
Multivariable proportional hazard models were used to examine the associations between OS and various clinical and imaging features. To avoid overfitting due to a limited number of events, we included three clinically relevant variables as covariates to define OS, LRFS, and DMFS. These were age at diagnosis, gender, and histology (UPS, Liposarcoma, myxofibrosarcoma, synovial sarcoma, others). For the definition of DFS, we observed more events and additionally included T-status, region of tumor involvement, and radiation sequence as covariates in our proportional hazards model.
All methods were performed in accordance with the relevant guidelines and regulations and informed consent was obtained from all participants and/or their legal guardians.
Multivariable proportional hazard models were used to examine the associations between OS and various clinical and imaging features. To avoid overfitting due to a limited number of events, we included three clinically relevant variables as covariates to define OS, LRFS, and DMFS. These were age at diagnosis, gender, and histology (UPS, Liposarcoma, myxofibrosarcoma, synovial sarcoma, others). For the definition of DFS, we observed more events and additionally included T-status, region of tumor involvement, and radiation sequence as covariates in our proportional hazards model.
All methods were performed in accordance with the relevant guidelines and regulations and informed consent was obtained from all participants and/or their legal guardians.
Biopsy
Diagnosis
Gender
Legal Guardians
Liposarcoma
Neoplasm Metastasis
Neoplasms
Neoplasms, Second Primary
Radiotherapy
Relapse
Synovial Sarcoma
PrognoScan (http://www.prognoscan.org/ ) is an online meta-analysis tool [25 (link)]. We used it to analyze three datasets including GSE14333, GSE9195 and GSE30929. GSE14333 contained 290 primary colorectal cancer samples [26 (link)]. GSE9195 with 77 breast cancers samples from Canada was included for overall survival (OS) prediction [27 (link)]. GSE14333 contained 140 human liposarcoma specimens [2 (link)]. The relationships of gene expression with the OS and progression-free survival (PFS) of patients were further investigated. Survival analysis (p < 0.05) for each cancer type was performed using the Kaplan–Meier method, with the “survival” and “survminer” in R. In addition, we explored the relationship between SNX29 expression and pan-cancer prognosis by performing Cox regression analysis, and the results were visualized using the “survival” and “forestplot” in R. Clinicopathological correlations were performed using the “limma” and “ggpubr” packages. To explore the association of SNX29, age, stage and gender linked with survival status, we performed multivariate Cox regression survival analysis with the “survival” package. We used receiver operating characteristic (ROC) curves to assess the diagnostic value of SNX29 expression in various tumors.
Colorectal Carcinoma
Diagnosis
Gender
Gene Expression
Homo sapiens
Liposarcoma
Malignant Neoplasm of Breast
Malignant Neoplasms
Neoplasms
Patients
Prognosis
Participants were recruited by two global recruitment companies and were included if they were aged ≥ 18 years, had a current diagnosis of one of the following STS types (liposarcoma, leiomyosarcoma, undifferentiated pleomorphic sarcoma, synovial sarcoma, or myxofibrosarcoma) or had been in remission for 6 months or less, were able to participate in a 1-h-long online interview, and were fluent in English. These specific STS subtypes were targeted due to murine double minute clone 2 (MDM2) amplification. Participants were excluded if they had any impairment that would prevent participation in interviews. All criteria were self-reported.
Open-ended, semi-structured interviews consisting of concept elicitation and cognitive debriefing were conducted, audio recorded and transcribed verbatim. Concept elicitation aimed to gather information about participants’ experiences of pain and fatigue, including descriptions, severity, and variation in concepts from their perspectives. Cognitive debriefing, which is used to ascertain if a patient understands the items of an instrument as intended by the developers [27 ], aimed to identify any issues spontaneously reported by participants and those specifically probed by the interviewer (see supplementary material, Table S1, for further details on the interview questions).
Open-ended, semi-structured interviews consisting of concept elicitation and cognitive debriefing were conducted, audio recorded and transcribed verbatim. Concept elicitation aimed to gather information about participants’ experiences of pain and fatigue, including descriptions, severity, and variation in concepts from their perspectives. Cognitive debriefing, which is used to ascertain if a patient understands the items of an instrument as intended by the developers [27 ], aimed to identify any issues spontaneously reported by participants and those specifically probed by the interviewer (see supplementary material, Table S1, for further details on the interview questions).
Clone Cells
Cognition
Diagnosis
Fatigue
Interviewers
Leiomyosarcoma
Liposarcoma
Malignant Fibrous Histiocytoma
MDM2 protein, human
Mus
Pain
Patients
Synovial Sarcoma
Top products related to «Liposarcoma»
Sourced in United States, Germany
The SW872 is a laboratory centrifuge designed for high-speed separation of biological samples. It features a maximum speed of 22,000 RPM and a maximum relative centrifugal force (RCF) of 60,000 x g. The SW872 is capable of handling a variety of sample volumes and tube sizes to accommodate diverse research and testing needs.
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Fetal Bovine Serum (FBS) is a cell culture supplement derived from the blood of bovine fetuses. FBS provides a source of proteins, growth factors, and other components that support the growth and maintenance of various cell types in in vitro cell culture applications.
Sourced in United States
The SW982 is a cell line derived from a synovial sarcoma tumor. It is a useful in vitro model for studying synovial sarcoma, a rare type of soft tissue cancer.
Sourced in United States, United Kingdom, Germany
The HT1080 is a laboratory instrument designed for cell culture applications. It is a fibroblast-like cell line derived from a human fibrosarcoma. The HT1080 cell line is commonly used in research and testing.
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GlutaMAX is a chemically defined, L-glutamine substitute for cell culture media. It is a stable source of L-glutamine that does not degrade over time like L-glutamine. GlutaMAX helps maintain consistent cell growth and performance in cell culture applications.
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Penicillin is a type of antibiotic used in laboratory settings. It is a broad-spectrum antimicrobial agent effective against a variety of bacteria. Penicillin functions by disrupting the bacterial cell wall, leading to cell death.
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Streptomycin is a broad-spectrum antibiotic used in laboratory settings. It functions as a protein synthesis inhibitor, targeting the 30S subunit of bacterial ribosomes, which plays a crucial role in the translation of genetic information into proteins. Streptomycin is commonly used in microbiological research and applications that require selective inhibition of bacterial growth.
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RPMI 1640 medium is a commonly used cell culture medium developed at Roswell Park Memorial Institute. It is a balanced salt solution that provides essential nutrients, vitamins, and amino acids to support the growth and maintenance of a variety of cell types in vitro.
Sourced in United States
The SW-872 is a laboratory centrifuge designed for general-purpose applications. It features a maximum speed of 4,000 RPM and can accommodate rotors for a variety of sample sizes. The centrifuge is compact and suitable for use in standard laboratory settings.
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Dulbecco's Modified Eagle Medium (DMEM) is a cell culture medium commonly used in laboratory research. It is a nutrient-rich solution that supports the growth and maintenance of various cell types, including adherent and suspension cells. DMEM provides essential amino acids, vitamins, and other components necessary for cell proliferation and survival.
More about "Liposarcoma"
Liposarcoma is a type of soft tissue sarcoma that originates from adipocytic precursor cells.
It is characterized by the proliferation of malignant adipocytes and can occur in various anatomical locations, most commonly in the extremities and retroperitoneum.
Liposarcomas are classified into several subtypes based on their histological features and clinical behavior, including well-differentiated, dedifferentiated, myxoid, round cell, and pleomorphic liposarcomas.
These subtypes have different prognoses and treatment approaches.
Liposarcoma can be a challenging disease to manage, but advances in research are helping to enhance reproducibility, accuracy, and the identification of effective therapies.
One innovative approach is PubCompare.ai, which leverages artificial intelligence to optimize liposarcoma research.
This powerful tool allows researchers to locate the best protocols from literature, pre-prints, and patents, using AI-driven comparisons to identify the most effective products and enhance their liposarcoma research.
In addition to PubCompare.ai, other resources and tools can be valuable in liposarcoma research.
For example, cell lines like SW872, SW982, HT1080, and SW-872 are commonly used to study liposarcoma.
These cell lines are often cultured in media such as RPMI 1640, Dulbecco's Modified Eagle Medium (DMEM), and supplemented with additives like FBS, GlutaMAX, Penicillin, and Streptomycin.
By leveraging these resources and the insights gained from PubCompare.ai, researchers can advance the understanding and treatment of this challenging disease.
It is characterized by the proliferation of malignant adipocytes and can occur in various anatomical locations, most commonly in the extremities and retroperitoneum.
Liposarcomas are classified into several subtypes based on their histological features and clinical behavior, including well-differentiated, dedifferentiated, myxoid, round cell, and pleomorphic liposarcomas.
These subtypes have different prognoses and treatment approaches.
Liposarcoma can be a challenging disease to manage, but advances in research are helping to enhance reproducibility, accuracy, and the identification of effective therapies.
One innovative approach is PubCompare.ai, which leverages artificial intelligence to optimize liposarcoma research.
This powerful tool allows researchers to locate the best protocols from literature, pre-prints, and patents, using AI-driven comparisons to identify the most effective products and enhance their liposarcoma research.
In addition to PubCompare.ai, other resources and tools can be valuable in liposarcoma research.
For example, cell lines like SW872, SW982, HT1080, and SW-872 are commonly used to study liposarcoma.
These cell lines are often cultured in media such as RPMI 1640, Dulbecco's Modified Eagle Medium (DMEM), and supplemented with additives like FBS, GlutaMAX, Penicillin, and Streptomycin.
By leveraging these resources and the insights gained from PubCompare.ai, researchers can advance the understanding and treatment of this challenging disease.