The incidence and predictors of new brain metastases in patients with non–small cell lung cancer following discontinuation of systemic therapy

2021 ◽  
pp. 1-11
Author(s):  
Dennis London ◽  
Dev N. Patel ◽  
Bernadine Donahue ◽  
Ralph E. Navarro ◽  
Jason Gurewitz ◽  
...  

OBJECTIVE Patients with non–small cell lung cancer (NSCLC) metastatic to the brain are living longer. The risk of new brain metastases when these patients stop systemic therapy is unknown. The authors hypothesized that the risk of new brain metastases remains constant for as long as patients are off systemic therapy. METHODS A prospectively collected registry of patients undergoing radiosurgery for brain metastases was analyzed. Of 606 patients with NSCLC, 63 met the inclusion criteria of discontinuing systemic therapy for at least 90 days and undergoing active surveillance. The risk factors for the development of new tumors were determined using Cox proportional hazards and recurrent events models. RESULTS The median duration to new brain metastases off systemic therapy was 16.0 months. The probability of developing an additional new tumor at 6, 12, and 18 months was 26%, 40%, and 53%, respectively. There were no additional new tumors 22 months after stopping therapy. Patients who discontinued therapy due to intolerance or progression of the disease and those with mutations in RAS or receptor tyrosine kinase (RTK) pathways (e.g., KRAS, EGFR) were more likely to develop new tumors (hazard ratio [HR] 2.25, 95% confidence interval [CI] 1.33–3.81, p = 2.5 × 10−3; HR 2.51, 95% CI 1.45–4.34, p = 9.8 × 10−4, respectively). CONCLUSIONS The rate of new brain metastases from NSCLC in patients off systemic therapy decreases over time and is uncommon 2 years after cessation of cancer therapy. Patients who stop therapy due to toxicity or who have RAS or RTK pathway mutations have a higher rate of new metastases and should be followed more closely.

1990 ◽  
Vol 8 (6) ◽  
pp. 1042-1049 ◽  
Author(s):  
M P Dearing ◽  
S M Steinberg ◽  
R Phelps ◽  
M J Anderson ◽  
J L Mulshine ◽  
...  

In a study of 411 patients with small-cell lung cancer (SCLC) entered on therapeutic clinical trials between 1973 and 1987, we analyzed whether changes in the prognostic importance of pretreatment factors had occurred during the 14-year time period. After adjusting for other prognostic factors, brain involvement was associated with shorter survival in patients treated before December 1979 (P = .024) but not in patients treated thereafter (P = .54). The patients diagnosed before 1979 had brain metastases documented by radionuclide scan while computed cranial tomography (CCT) was more commonly used after 1979. Patients who had brain metastases diagnosed by radionuclide scan lived a shorter period of time than patients who had the diagnosis made by the more sensitive CCT scan (P = .031). In contrast, Cox proportional hazards modeling showed that liver metastases in patients were associated with shorter survival in patients treated after 1979 (P = .0007) but not in patients treated before then (P = .30). A larger proportion of patients had a routine liver biopsy before 1979 than after 1979 when more patients had the liver staged with less sensitive imaging studies and biochemical parameters. Patients with SCLC whose cancer was confined to the thorax but had medical or anatomic contraindications to intensive chest radiotherapy had similar survival compared with patients with limited-stage SCLC who were treated with combination chemotherapy alone (P = .68). From these data we conclude: (1) the sensitivity of the staging procedures used can affect the impact on survival of cancer involvement of a given site; and (2) patients with cancer confined to their chest with medical or anatomic contraindications to chest radiotherapy do not have a shorter survival than patients with limited-stage disease treated with chemotherapy alone.


2020 ◽  
Author(s):  
Linlin Wang ◽  
Lihui Ge ◽  
Guofeng Zhang ◽  
Yi Ren ◽  
Yongyu Liu

Abstract Background: Whether lung segmentectomy is a safe and effective surgical treatment in patients with early non-small cell lung cancer (NSCLC) remains controversial. We have therefore reviewed the clinicopathologic characteristics and survival outcomes of patients receiving a lobectomy vs. segmentectomy to treat early T (>2 cm and ≤3 cm) N0M0 NSCLC.Methods: We obtained data from the Surveillance, Epidemiology, and End Results (SEER) database for patients who underwent lobectomy or segmentectomy between 2004 and 2015. To reduce bias and imbalance between the treatment groups, propensity score matching (PSM) analysis was performed. We used Kaplan-Meier curves to estimate overall survival (OS) and lung cancer-specific survival (LCSS), performed univariate and multivariate Cox proportional hazards regression analyses to identify independent prognostic factors for OS and CSS, and applied the Cox proportional hazards model to create forest plots. Results: A total of 5783 patients from the SEER database were included. Of these, 5531 patients underwent lobectomy, and 252 patients underwent segmentectomy. Before matching, both univariate and multivariate Cox regression analyses showed that patients who underwent lobectomy had better OS (hazard ratio [HR]: 1.561; 95% confidence interval [CI] 1.292-1.885; P <0.001) and LCSS (HR: 1.551; 95% CI 1.198-2.009; P=0.001) than patients who underwent segmentectomy. However, survival differences between the groups were not significant; OS (P=0.160) and LCSS (P=0.097) after matching. Regression analyses revealed that age, sex, lymph node dissection, and grade were independent predictors of OS and LCSS (P <0.05).Conclusions: For patients with stage T (>2 cm and ≤3 cm) N0M0 non-small cell lung cancer, segmentectomy can achieve the same OS and LCSS compared with lobectomy. A large number of patients require further long-term follow-up analyses.


2021 ◽  
Vol 3 (Supplement_3) ◽  
pp. iii22-iii22
Author(s):  
Dennis London ◽  
Dev Patel ◽  
Bernadine Donahue ◽  
Ralph Navarro ◽  
Jason Gurewitz ◽  
...  

Abstract Purpose Patients with non-small cell lung cancer (NSCLC) metastatic to the brain increasingly are living longer due to improvements in systemic therapy and local modalities. The risk of new brain metastases when these patients stop systemic therapy is unknown. Recognizing patterns of new tumor occurrence is necessary to determine the frequency of follow-up and the need for further treatment. Methods We included patients in a prospective registry who had non-small cell lung cancer (NSCLC) brain metastases, discontinued systemic therapy for at least 90 days, and underwent active surveillance. 63 patients with 73 off-periods were studied. The risk factors for the development of new tumors were determined using Cox regression and multi-state Markov modeling. Results The median time to new brain metastases off systemic therapy was 16.0 months. The probability of developing an additional new tumor at 6, 12, and 18 months was 26%, 40%, and 53%, respectively. There were no additional new tumors 22 months after stopping therapy. Patients who discontinued therapy due to intolerance or progression of the disease and those with mutations in RAS or receptor tyrosine kinase pathways (e.g. KRAS, EGFR) were more likely to develop new tumors (HR: 2.21, 95% CI: 1.25–3.91, p=6.3 x 10–3; HR: 2.03, 95% CI: 1.09–3.77, p=0.026, respectively). Conclusion The rate of new brain metastases from NSCLC in patients off systemic therapy decreases over time and is uncommon 2 years after cessation of cancer therapy. Patients who stop therapy due to toxicity or who have RAS or receptor tyrosine kinase pathway mutations have a higher rate of new metastases and should be followed more closely.


2016 ◽  
Vol 19 (1) ◽  
pp. i1-i24 ◽  
Author(s):  
Marc C. Chamberlain ◽  
Christina S. Baik ◽  
Vijayakrishna K. Gadi ◽  
Shailender Bhatia ◽  
Laura Q.M. Chow

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Tomoyuki Hida ◽  
Akinori Hata ◽  
Junwei Lu ◽  
Vladimir I. Valtchinov ◽  
Takuya Hino ◽  
...  

Abstract Background Interstitial lung abnormalities (ILA) can be detected on computed tomography (CT) in lung cancer patients and have an association with mortality in advanced non-small cell lung cancer (NSCLC) patients. The aim of this study is to demonstrate the significance of ILA for mortality in patients with stage I NSCLC using Boston Lung Cancer Study cohort. Methods Two hundred and thirty-one patients with stage I NSCLC from 2000 to 2011 were investigated in this retrospective study (median age, 69 years; 93 males, 138 females). ILA was scored on baseline CT scans prior to treatment using a 3-point scale (0 = no evidence of ILA, 1 = equivocal for ILA, 2 = ILA) by a sequential reading method. ILA score 2 was considered the presence of ILA. The difference of overall survival (OS) for patients with different ILA scores were tested via log-rank test and multivariate Cox proportional hazards models were used to estimate hazard ratios (HRs) including ILA score, age, sex, smoking status, and treatment as the confounding variables. Results ILA was present in 22 out of 231 patients (9.5%) with stage I NSCLC. The presence of ILA was associated with shorter OS (patients with ILA score 2, median 3.85 years [95% confidence interval (CI): 3.36 – not reached (NR)]; patients with ILA score 0 or 1, median 10.16 years [95%CI: 8.65 - NR]; P <  0.0001). In a Cox proportional hazards model, the presence of ILA remained significant for increased risk for death (HR = 2.88, P = 0.005) after adjusting for age, sex, smoking and treatment. Conclusions ILA was detected on CT in 9.5% of patients with stage I NSCLC. The presence of ILA was significantly associated with a shorter OS and could be an imaging marker of shorter survival in stage I NSCLC.


2021 ◽  
Vol 1 (3) ◽  
pp. 173-177
Author(s):  
MINEHIKO INOMATA ◽  
NAOKI TAKATA ◽  
ISAMI MIZUSHIMA ◽  
KENJI AZECHI ◽  
KANA HAYASHI ◽  
...  

Background/Aim: We conducted a retrospective analysis of the survival durations of 25 patients diagnosed as having non-squamous cell non-small cell lung cancer with negative or low tumor programmed death-ligand 1 (PD-L1) expression treated with immune checkpoint inhibitor (ICI) monotherapy. Patients and Methods: The progression-free (PFS) and overall (OS) survival were calculated from the initiation of ICI monotherapy. The association between the patient characteristics and the PFS was analyzed using Cox proportional hazards model. Results: The median PFS was 2.6 months, and the 12-month PFS rate was 9.3%. The median OS was 5.5 months, and the 12-month OS rate was 39.8%. A Cox proportional hazards model identified the neutrophil/lymphocyte ratio and presence of liver metastasis as being significantly associated with PFS. Conclusion: Our findings suggest that a subset of patients with non-squamous cell non-small cell lung cancer who show negative or low tumor PD-L1 expression could benefit from ICI monotherapy.


2020 ◽  
Vol 38 (15_suppl) ◽  
pp. e21041-e21041
Author(s):  
JUN WANG ◽  
Bicheng Zhang ◽  
Jianguo Sun ◽  
Jing Liang ◽  
Xiaolin Liu ◽  
...  

e21041 Background: As a subgroup of lung cancer, small cell lung cancer (SCLC) is characterized by a short tumor doubling time, high rates of early occurred distant cancer spread, and poor outcome. Despite its exquisite sensitivity to chemotherapy and radiotherapy, acquired drug resistance and tumor progression was impossibly avoided. This study aimed to develop a robust signature based on immune-related genes to predict the outcome of patients with SCLC. Methods: The expression data of 77 SCLC patients from George’s cohort were divided into training and testing set, and 1,534 immune-related genes from ImmPort database were used to generate and validate the signature. The Cox proportional hazards model was developed to determine the best gene model and construct the signature. The Kaplan-Meier survival analysis and Cox proportional hazards were used to test the prognostic significance of the signature. Results: A 10-genes model comprising NR3C1, NR1D2, TANK, ARAF, HDGF, INHBE, LRSAM1, PLXNA1, PML and SP1 with the highest frequency after 1,000 interactions, was chosen to construct an immune-related signature. This signature showed robust predictive value for SCLC patients’ survival in both training and testing set. This signature was closely associated with the activation of immune signal pathways, but not TNM stage. Furthermore, patients with high immune risk score presented with poor survival, whereas had high specific tumor-infiltrating immune cells such as NK CD56 bright cells. Conclusions: The present developed immune-related signature could predict the prognosis of SCLC patients, which to some extent reflect individual immune microenvironment phenotype in this highly lethal cancer type.


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