Innate inflammatory markers for predicting survival in retroperitoneal sarcoma

Netanyahu, Yael; Gerstenhaber, Fabian; Shamai, Sivan; Sher, Osnat; Merimsky, Ofer; Klausner, Joseph M.; Lahat, Guy; Nizri, Eran

doi:10.1002/jso.26178

Cited by 5 publications

(4 citation statements)

References 28 publications

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“…Our results align with previous findings. 17,18,[72][73][74][75][76][77] Furthermore, our observation suggests that hypoalbuminemia identifies a high-risk cohort that may derive greater benefits from enhanced nutritional support preoperatively. The omission of descriptive statistical analysis for serum albumin and NLR, in term of patients' outcome, limits the depth of our data exploration.…”

Section: Discussionmentioning

confidence: 66%

Influence of nutritional status and body composition on postoperative events and outcome in patients treated for primary localized retroperitoneal sarcoma

Ramanovic,

Novak,

Perhavec

et al. 2024

Radiology and Oncology

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Background Retroperitoneal sarcomas (RPS) are rare tumours of mesenchymal origin, commonly presented as a large tumour mass at time of diagnosis. We investigated the impact of body composition on outcome in patients operated on for primary localized RPS. Patients and methods We retrospectively analysed data for all patients operated on for primary RPS at our institution between 1999 and 2020. Preoperative skeletal muscle area (SMA), visceral and subcutaneous adipose tissue area (VAT and SAT) and muscle radiation attenuation (MRA) were calculated using computed tomography scans at the level of third lumbar vertebra. European Working Group on Sarcopenia in Older People (EWGSOP2) criteria were applied to define myopenia. Using maximum log-rank statistic method we determined the optimal cut-off values of body composition parameters. Myosteatosis was defined based on determined MRA cut-offs. Results In total 58 patient were eligible for the study. With a median follow-up of 116 months, the estimated 5-year overall survival (OS) and local-recurrence free survival (LRFS) were 66.8% and 77.6%, respectively. Patients with myopenia had significantly lower 5-year OS compared to non-myopenic (p = 0.009). Skeletal muscle index and subcutaneous adipose tissue index predicted LRFS on univariate analysis (p = 0.052 and p = 0.039, respectively). In multivariate analysis high visceral-to-subcutaneous adipose tissue area ratio (VSR) independently predicted higher postoperative complication rate (89.2% vs. 10.8%, p = 0.008). Myosteatosis was associated with higher postoperative morbidity. Conclusions Myopenia affected survival, but not postoperative outcome in RPS. Visceral obesity, VSR (> 0.26) and myosteatosis were associated with higher postoperative morbidity. VSR was better prognostic factor than VAT in RPS.

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Section: Discussionmentioning

confidence: 66%

Influence of nutritional status and body composition on postoperative events and outcome in patients treated for primary localized retroperitoneal sarcoma

Ramanovic,

Novak,

Perhavec

et al. 2024

Radiology and Oncology

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“…Therefore, novel molecular indicators are required to forecast STS patients’ prognosis and create tailored treatment regimens that guide efficient antitumor responses. Some inflammatory response markers have previously been used to predict prognosis in STS patients ( 26 , 27 ). The prognosis of retroperitoneal sarcoma can be determined by serum markers of the innate inflammatory response [e.g., neutrophil-to-lymphocyte ratio (NLR) and C-reactive protein (CRP)] ( 26 ).…”

Section: Discussionmentioning

confidence: 99%

“…Some inflammatory response markers have previously been used to predict prognosis in STS patients ( 26 , 27 ). The prognosis of retroperitoneal sarcoma can be determined by serum markers of the innate inflammatory response [e.g., neutrophil-to-lymphocyte ratio (NLR) and C-reactive protein (CRP)] ( 26 ). Moreover, Kobayashi et al.…”

Section: Discussionmentioning

confidence: 99%

A novel inflammatory signature for evaluating immune microenvironment status in soft tissue sarcoma

Zheng²,

Liu³

et al. 2022

Front. Oncol.

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BackgroundTumorigenesis and progression are intimately associated with inflammation. However, the inflammatory landscape in soft tissue sarcoma (STS) and its clinical consequences are yet unknown, and more investigation is needed.MethodsRNA-seq expression data for STS and corresponding normal tissues were downloaded from The Cancer Genome Atlas database and the Genotype-Tissue Expression Portal. Differential and prognostic analyses were performed based on known inflammatory response genes from Gene Set Enrichment Analysis (GSEA). We utilized LASSO-Cox analysis to determine hub genes and built an inflammatory score (INFscore) and risk stratification model. Furthermore, a nomogram, including the risk stratification model, was established to predict the prognosis. We further elucidated the characteristics among different risk STS patients by GSEA, gene set variation analysis, and detailed immune infiltration analysis. Finally, the INFscore and risk stratification model in predicting prognosis and depicting immune microenvironment status were verified by pan-cancer analysis.ResultsFive hub genes (HAS2, IL1R1, NMI, SERPINE1, and TACR1) were identified and were used to develop the INFscore. The risk stratification model distinguished the immune microenvironment status and evaluated the efficacy of immunotherapy and chemotherapy in STS. The novel nomogram had good efficacy in predicting the prognosis of STS patients. Finally, a pan-cancer investigation verified the association of INFscore with prognosis and immunity.ConclusionsAccording to the present study, the risk stratification model can be used to evaluate STS prognosis, tumor microenvironment status, immunotherapy, and chemotherapy efficacy. The novel nomogram has an excellent predictive value. Thus, the INFscore and risk stratification model has potential value in assessing the prognosis and immune status of multiple malignancies.

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“…NLR has also demonstrated predictive value in STS, although further investigation is needed to understand variations among tumor locations and histologies [29][30][31]. Data on NLR are available for sarcomas of the extremities/trunk [32], head and neck [33], and retroperitoneum [34,35].…”

Section: How To Improve Further Prognostication Of All Sarcomas: Inte...mentioning

confidence: 99%

Sarculator: how to improve further prognostication of all sarcomas

Borghi,

Gronchi

2024

Current Opinion in Oncology

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Purpose of review Prognostication of soft tissue sarcomas is challenging due to the diversity of prognostic factors, compounded by the rarity of these tumors. Nomograms are useful predictive tools that assess multiple variables simultaneously, providing estimates of individual likelihoods of specific outcomes at defined time points. Although these models show promising predictive ability, their use underscores the need for further methodological refinement to address gaps in prognosis accuracy. Recent findings Ongoing efforts focus on improving prognostic tools by either enhancing existing models based on established parameters or integrating novel prognostic markers, such as radiomics, genomic, proteomic, and immunologic factors. Artificial intelligence is a new field that is starting to be explored, as it has the capacity to combine and analyze vast and intricate amounts of relevant data, ranging from multiomics information to real-time patient outcomes. Summary The integration of these innovative markers and methods could enhance the prognostic ability of nomograms such as Sarculator and ultimately enable more accurate and individualized healthcare. Currently, clinical variables continue to be the most significant and effective factors in terms of predicting outcomes in patients with STS. This review firstly introduces the rationale for developing and employing nomograms such as Sarculator, secondly, reflects on some of the latest and ongoing methodological refinements, and provides future perspectives in the field of prognostication of sarcomas.

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Innate inflammatory markers for predicting survival in retroperitoneal sarcoma

Cited by 5 publications

References 28 publications

Influence of nutritional status and body composition on postoperative events and outcome in patients treated for primary localized retroperitoneal sarcoma

Influence of nutritional status and body composition on postoperative events and outcome in patients treated for primary localized retroperitoneal sarcoma

A novel inflammatory signature for evaluating immune microenvironment status in soft tissue sarcoma

Sarculator: how to improve further prognostication of all sarcomas

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