Sarculator: how to improve further prognostication of all sarcomas

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.

Extremity and Truncal Soft Tissue Sarcoma: Risk Assessment and Multidisciplinary Management

Extremity and truncal soft tissue sarcomas are a heterogeneous group of rare cancers that arise from mesenchymal tissues. Hence, the adoption of tailored risk assessment and prognostication tools plays a crucial role in optimizing the decision-making for which of the many possible treatment strategies to select. Management of these tumors requires a multidisciplinary strategy, which has seen significant development in recent decades. Surgery has emerged as the primary treatment approach, with the main goal of achieving microscopic negative tumor margins. To reduce the likelihood of local recurrence, loco-regional treatments such as radiation therapy and isolated limb perfusion are often added to the treatment regimen in combination with surgery. This approach also enables surgeons to perform limb-sparing surgery, particularly in cases where a positive tumor margin is expected. Chemotherapy may also provide a further benefit in decreasing the probability of local recurrence or reducing distant metastasis in selected patients. Selecting the optimal treatment strategy for these rare tumors is best accomplished by an experienced multi-disciplinary team.

Staging Systems and Nomograms for Soft Tissue Sarcoma

Reliable tools for prognosis prediction are crucially needed by oncologists so they can tailor individual treatments. However, the wide spectrum of histologies and prognostic behaviors of sarcomas challenges their development. In this field, nomograms could definitely better account for their granularity compared to the more widely used AJCC/UICC TNM staging system. Nomograms are predictive tools that incorporate multiple risk factors and return a numerical probability of a clinical event. Since the development of the first nomogram in 2002, several other nomograms have been built, either general, site-specific, histology-specific, or both. Recently, some new “dynamic” nomograms and prognostic tools have been developed, allowing doctors to “recalculate” a patient’s prognosis by taking into account the time since primary surgery, the event history, and the potential time-dependent effect of covariates. Due to these new tools, prognosis prediction is no longer limited to the time of the first computation but can be adapted and recalculated based on the occurrence (or not) of any event as time passes from the first computation. In this review, we aimed to give an overview of the available nomograms for STS and to help clinicians in the process of selecting the best tool for each patient.

Contemporary role of amputation for patients with extremity soft tissue sarcoma

INTRODUCTION

limb-sparing surgery is the mainstream treatment for primary extremity soft tissue sarcoma (ESTS) at referral centers, following advances in surgical reconstructions and multimodal management. However, amputation is still needed in selected patients and has not yet been described for a ESTS cohort in a contemporary scenario.

MATERIAL AND METHODS

consecutive patients who underwent surgery for primary ESTS from 2006 to 2018 were extracted from a prospectively collected database at our reference center. Patients receiving amputation for either primary tumor or local recurrence (LR) after limb-sparing surgery were selected for analysis.

RESULTS

Among 1628 primary ESTS, 29 patients underwent primary amputation (1.8%), 22/1159 (1.9%) for upper limb and 7/469 (1.5%) for lower limb ESTS. Patients were mainly affected by grade III FNCLCC (89.6%) of notable dimension (median size 16 cm, IQR 10-24). 65.5% of patients received preoperative treatments (systemic or regional chemotherapy, radiotherapy or chemo-radiation). Secondary amputation for LR was performed after a median of 23 months in 16/1599 patients (1%). Median survival time was 16.2 and 29.6 months after primary or secondary amputation respectively. Factors prompting the need for a primary amputation were most often a combination of multifocal disease, bone invasion and pain or neurovascular bundle involvement and relevant comorbidities, mainly for grade III tumors in elderly patients.

CONCLUSION

Contemporary rate of amputation for ESTS at a reference center is extremely low. Still, amputation is required in selected cases with advanced presentations, especially in elderly, frail patients.