Comparison of local therapy in patients with lung oligo-recurrence of non-small-cell lung cancer

Prognostic factors after radical local therapy for oligo-recurrence of non-small cell lung cancer

OBJECTIVE

Oligo-recurrence refers to the presence of a limited number of metachronous recurrences that can be treated with radical local therapy, and most patients have a good prognosis. However, the clinical course after local therapy for oligo-recurrence of non-small cell lung cancer (NSCLC) varies, and the prognostic factors are unclear. The aim of this study was to elucidate the prognostic factors of patients with oligo-recurrence of NSCLC who underwent radical local therapy.

METHODS

Between 2004 and 2015, 901 patients who underwent complete resection for NSCLC were included. We defined oligo-recurrence as two or fewer recurrences and retrospectively examined the factors that affected post-recurrence survival in patients who underwent radical local therapy for oligo-recurrence.

RESULTS

Recurrence was confirmed in 267 patients, and among them, 125 experienced oligo-recurrence. Eighty-five patients with oligo-recurrence received local therapy, and their 5-year post-recurrence survival rate was 42.8%. Multivariable analysis of the prognostic factors of these patients revealed that single recurrence (hazard ratio = 2.19, P = 0.005) and systemic therapy (hazard ratio = 1.75, P = 0.043) were significant favorable prognostic factors associated with post-recurrence survival. However, the presence or absence of epidermal growth factor gene mutations, which is generally a prognostic factor for NSCLC recurrence, did not affect the prognosis of these patients.

CONCLUSIONS

The number of recurrences and receiving systemic therapy are important prognostic factors for patients with oligo-recurrence who undergo radical local therapy, and these patients have a particularly favorable prognosis.

Complex situations in lung cancer: multifocal disease, oligoprogression and oligorecurrence

With the emergence of lung cancer screening programmes and newly detected localised and multifocal disease, novel treatment compounds and multimodal treatment approaches, the treatment landscape of non-small cell lung cancer is becoming increasingly complex. In parallel, in-depth molecular analyses and clonality studies are revealing more information about tumorigenesis, potential therapeutical targets and the origin of lesions. All can play an important role in cases with multifocal disease, oligoprogression and oligorecurrence. In multifocal disease, it is essential to understand the relatedness of separate lesions for treatment decisions, because this information distinguishes separate early-stage tumours from locally advanced or metastatic cancer. Clonality studies suggest that a majority of same-histology lesions represent multiple primary tumours. With the current standard of systemic treatment, oligoprogression after an initial treatment response is a common scenario. In this state of induced oligoprogressive disease, local ablative therapy by either surgery or radiotherapy is becoming increasingly important. Another scenario involves the emergence of a limited number of metastases after radical treatment of the primary tumour, referred to as oligorecurrence, for which the use of local ablative therapy holds promise in improving survival. Our review addresses these complex situations in lung cancer by discussing current evidence, knowledge gaps and treatment recommendations.

Computational modeling of locoregional recurrence with spatial structure identifies tissue-specific carcinogenic profiles

Introduction

Local and regional recurrence after surgical intervention is a significant problem in cancer management. The multistage theory of carcinogenesis precisely places the presence of histologically normal but mutated premalignant lesions surrounding the tumor - field cancerization, as a significant cause of cancer recurrence. The relationship between tissue dynamics, cancer initiation and cancer recurrence in multistage carcinogenesis is not well known.

Methods

This study constructs a computational model for cancer initiation and recurrence by combining the Moran and branching processes in which cells requires 3 or more mutations to become malignant. In addition, a spatial structure-setting is included in the model to account for positional relativity in cell turnover towards malignant transformation. The model consists of a population of normal cells with no mutation; several populations of premalignant cells with varying number of mutations and a population of malignant cells. The model computes a stage of cancer detection and surgery to eliminate malignant cells but spares premalignant cells and then estimates the time for malignant cells to re-emerge.

Results

We report the cellular conditions that give rise to different patterns of cancer initiation and the conditions favoring a shorter cancer recurrence by analyzing premalignant cell types at the time of surgery. In addition, the model is fitted to disease-free clinical data of 8,957 patients in 27 different cancer types; From this fitting, we estimate the turnover rate per month, relative fitness of premalignant cells, growth rate and death rate of cancer cells in each cancer type.

Discussion

Our study provides insights into how to identify patients who are likely to have a shorter recurrence and where to target the therapeutic intervention.