Different prognostic implications of hepatic metastasis according to front-line treatment in non-small cell lung cancer: a real-world retrospective study
Introduction
Non-small cell lung cancer (NSCLC) accounts for 85% of all cases of lung cancer, which is the leading cause of cancer deaths worldwide (1-3) despite improvements in the prognosis of metastatic lung cancer due to the development of targeted therapy and immunotherapy (4-6). The stage of lung cancer at diagnosis affects prognosis (7,8), and distant metastasis is found at initial diagnosis with a frequency of approximately 40% (8-10). Additionally, prognosis varies depending on the metastatic sites. Previous studies have shown that metastasis to the liver, bone, and adrenal glands in patients with NSCLC are associated with poor outcomes (11,12).
Among the various types of metastasis, liver metastasis occurs in approximately 15% of metastatic NSCLC patients with the worst prognosis (11-13). Several studies have evaluated the effect of liver metastasis on treatment response. The results of these studies have generally indicated that patients with liver metastasis had poor outcomes (14-16). However, unlike cytotoxic chemotherapy and targeted therapy, there is still debate about the effect of liver metastasis on the prognosis of patients who receive immunotherapy. Some studies have identified liver metastasis as an independent poor prognostic factor in patients who received immunotherapy (17,18); conversely, the presence of liver metastasis did not affect prognosis in other studies (19,20).
Until now, there has been no comprehensive analysis of outcomes or clinical characteristics according to both the type of first-line chemotherapy and the presence of liver metastasis in NSCLC patients. Therefore, this study aimed to verify the effects of liver metastasis on the prognosis of stage 4 NSCLC patients according to their first-line treatment using real-world clinical data. We present the following article in accordance with the STROBE reporting checklist (available at http://dx.doi.org/10.21037/tlcr-21-206).
Methods
Study design and definition
This study was a single-center retrospective real-world data-based study. Patients who were diagnosed with NSCLC from January 2015 to December 2019 were analyzed. The patients had stage 4 cancer with distant metastasis at initial diagnosis and were over 18 years old. The patients’ demographic and baseline clinical data including epidermal growth factor receptor (EGFR), anaplastic lymphoma kinase (ALK), and programmed death-ligand 1 (PD-L1) statuses at the time of diagnosis were collected. All patients received first-line systemic treatment during the analysis period. The patients were divided into three groups depending on the type of first-line chemotherapy they received: cytotoxic, targeted, and immunotherapy. The immunotherapy group included patients who received either immunotherapy alone or the combination of immunotherapy and cytotoxic chemotherapy.
The study was conducted in accordance with the Declaration of Helsinki (as revised in 2013). The study was approved by the institutional review board of Asan Medical Center (IRB No. 2020-0921) and individual consent for this retrospective analysis was waived.
Selection flow of study population
Diagnostic codes from medical records were used to extract NSCLC patients. The diagnostic codes included “adenocarcinoma”, “squamous cell carcinoma”, “adenosquamous cell carcinoma”, “large cell carcinoma”, “other non-small cell carcinoma”, “unspecified lung cancer”, and “malignant neoplasm of lung” from the International Classification of Disease-10 code C34. When evaluating metastatic sites, the results of the initial chest and/or abdominal pelvic computed tomography, positron emission tomography-computed tomography, or brain magnetic resonance imaging were used, and patients with the words “metastasis”, “metastatic”, and “metastases” in the results were extracted. The metastatic sites were then classified using these extracted results.
The exclusion criteria were patients with recurrence; patients who were stage 4 at diagnosis but had not undergone chemotherapy; patients with types of cancer other than NSCLC; or patients with other malignancies during the analysis period (Figure 1).
Measurement of prognostic outcomes
The primary outcome was a comparison of overall survival (OS) and progression-free survival (PFS) depending on the presence of liver metastasis in each treatment group, particularly in the immunotherapy group. The secondary outcomes were the distribution of metastatic sites in stage 4 NSCLC, the difference in prognosis according to metastatic sites, and other factors affecting OS and PFS in patients with stage 4 NSCLC.
Statistical analysis
T-tests were used to compare continuous variables, and Chi-square tests were used to compare categorical variables between two groups with or without liver metastasis. All values were denoted as the mean ± standard deviation or number (percentage). Kaplan-Meier curves and the log-rank test were used to compare OS and PFS. The PFS analysis was based on the Response Evaluation Criteria in Solid Tumors guidelines (version 1.1). We used a Cox regression analysis to obtain the hazard ratio (HR) of each variable for the OS and PFS. A p-value of less than 0.05 was considered statistically significant. The statistical analyses were performed using IBM SPSS version 25.0 (IBM Corp., Armonk, NY, USA).
Results
Baseline characteristics of the study population
During the analysis period, 5,199 patients met the inclusion criteria. A total of 1,470 patients were finally analyzed after excluding 3,729 patients who met the exclusion criteria. Among them, 723 patients received cytotoxic chemotherapy, 678 received targeted therapy, and 69 received immunotherapy as their first-line chemotherapy (Figure 1 and Table 1). In particular, 30 and 39 patients in the immunotherapy group received immunotherapy alone and combination therapy, respectively. Baseline characteristics in each treatment group are presented in Table S1. Of the total population, 234 (15.9%) patients had liver metastasis at the initial diagnosis. Bone accounted for the largest percentage of metastatic sites, followed by the pleura and extra thoracic lymph nodes. A total of 31.4% of patients had a single metastatic site and 68.6% had two or more metastatic sites (Table 2). The mean patient age was 63.7 years, and 59.1% were male. Adenocarcinoma and squamous cell carcinoma comprised 82.9% and 13.2% of the cancers, respectively. The molecular test results at diagnosis showed that 42.9% of patients had EGFR gene mutations and 6.4% had ALK gene rearrangement (Table 1). Additionally, 55% of the patients who received first-line immunotherapy were PD-L1 positive (PD-L1 expression ≥1%) and 18.8% were PD-L1 negative (Table S2). There were no statistical differences in the baseline characteristics between the groups with and without liver metastasis.
Full table
Full table
Prognostic differences according to hepatic metastasis
The median OS of the patients with liver metastasis was 9.4 months and that of the patients without liver metastasis was 18.4 months (P<0.001). In the cytotoxic chemotherapy group and the targeted therapy group, the OS of patients with liver metastasis was shorter than that of patients without liver metastasis (4.4 vs. 10.8 months, P<0.001; 15.6 vs. 29.5 months, P<0.001; respectively). However, there was no difference in OS depending on the presence of liver metastasis in the immunotherapy group (11.7 vs. 13.0 months, P=0.968; Figure 2). Similar results were observed for subgroups within each group (Figure S1).
The presence or absence of liver metastasis resulted in PFS findings that were similar to the OS findings (Figure S2). The PFS of all patients without liver metastasis was longer, and even in the cytotoxic and targeted therapy groups, patients without liver metastasis had a better PFS. Similar to OS, there was no difference in PFS in the immunotherapy group in the patients with or without liver metastasis.
Prognostic differences according to first-line treatment
According to the treatment type, the median OS of the targeted therapy group was significantly longer than that of the other treatment groups (P<0.001). However, there was no difference in the survival curve between the cytotoxic and immunotherapy groups (9.7 and 13.0 months, P=0.361). Conversely, in the patients with liver metastasis, the immunotherapy group had a longer OS than the cytotoxic chemotherapy group did (11.7 vs. 4.4 months, P<0.001), and the survival curve between the targeted and immunotherapy groups did not differ significantly (P=0.506; Figure 3).
In patients with liver metastasis, the cytotoxic chemotherapy group had a significantly worse PFS than that of the targeted or immunotherapy groups, and the PFS of the targeted therapy group was longer than that of the immunotherapy group, but this difference was not statistically significant (Figure S3).
Prognostic differences according to the number and location of metastatic sites
Although there was no difference in OS between the patients with one or two metastatic sites when considering the entire study population, patients with three or more metastatic sites had worse outcomes than patients with one or two metastatic sites (P<0.001). Meanwhile, there was no association between the number of metastatic sites and OS in patients with liver metastasis (Figure 4).
The prognosis in patients with metastasis occurring at sites other than the liver tended to differ from that of patients with liver metastasis. Within each treatment group, particularly within patients who received immunotherapy, bone, adrenal, or soft tissue metastasis had a significant negative effect on prognosis, unlike liver metastasis. There was no statistical difference in the prognosis of those who received immunotherapy and cytotoxic chemotherapy according to the presence or absence of these types of metastasis (Figure S4).
Cox regression analysis for OS and PFS
In the multivariate Cox regression analysis for OS, the HR of age was 1.024 and the HR of male sex was 1.243. Furthermore, the HR for EGFR mutations was 0.457 and the HR for ALK rearrangement was 0.352, with good prognosis. Along with liver metastasis (HR =1.438), bone, adrenal gland, and soft tissue metastasis were significantly associated with poor outcomes. Conversely, lymph node, brain, collateral lung, and pleura metastasis did not affect prognosis. Although two metastatic sites did not statistically affect OS when compared with a single metastatic site, three or more metastatic sites were associated with poor outcomes (HR =1.466; Table 3). Similar results were found in terms of PFS, in which age, male sex, and squamous cell carcinoma were associated with poor outcomes. No EGFR mutation, no ALK rearrangement, three or more metastatic sites, and metastasis to the liver, bone, and adrenal glands were also associated with a poor PFS (Table S3).
Full table
Discussion
This is the first study that used large real-world data to perform a comprehensive, multidimensional analysis of survival outcomes according to the presence of liver metastasis in each treatment group. NSCLC patients with liver metastasis generally had a worse prognosis than patients without liver metastasis did. However, in the immunotherapy group, liver metastasis did not significantly affect survival. While there is no doubt regarding the use of tyrosine kinase inhibitor (TKI) or immune checkpoint inhibitor (ICI) with/without cytotoxic chemotherapy as first-line treatment depending on the presence of driver mutation in this era, we could emphasize the need for certain mechanisms to be revealed wherein liver metastasis does not affect prognosis in patients who have undergone immunotherapy, which could serve as another basis for developing treatment strategies for patients with liver metastasis.
Prior to the use of targeted therapy, liver metastasis had been identified as a factor associated with poor outcomes in NSCLC patients who received cytotoxic chemotherapy (21). The findings are not much different for patients receiving targeted therapy such as TKI. Some studies have reported significantly shorter PFS and OS in NSCLC patients with liver metastasis who receive TKIs as the first-line treatment after confirming the presence of EGFR mutations (14,16). The results of these studies support our findings.
However, in this present study, there was no difference in OS in patients with or without liver metastasis in the immunotherapy group. Thus far, the effect of liver metastasis on the response to immunotherapy remains controversial. Some studies have shown that the response to immunotherapy is poor if liver metastasis is present in patients receiving immunotherapy (22,23). These results are thought to be due to the relationship between the liver and immune tolerance. Since the liver is responsible for immunity, liver metastasis can reduce the activation of CD8+ T-cells and increase the immunologic tolerance against cancer (15,22). However, some studies have shown opposite results. Recently, a meta-analysis showed that there was no difference in outcome depending on liver metastasis in patients who received both immunotherapy and conventional chemotherapy (24). Furthermore, liver metastasis was not an independent prognostic factor for OS or PFS in a multivariate analysis of patients who received ICIs in previous studies (19,20).
Several reasons can be inferred regarding why liver metastasis does not affect the prognosis of patients who receive immunotherapy. In one meta-analysis involving five clinical trials, ICIs significantly improved the OS of patients with liver metastasis (25). Another previous study showed that the anti-angiogenesis effect of conventional chemotherapy combined with immunotherapy increases the response of immunotherapy by blocking vascular endothelial growth factor (VEGF)-related immunosuppression and augmenting T-cell activation (26). In this current study, in patients with liver metastasis, the outcome of immunotherapy was better than that of conventional chemotherapy. Although there were few patients who received VEGF inhibitors, as previous studies inferred, it is assumed that some benefits of immunotherapy with/without chemotherapy in patients with liver metastasis reduce the negative effect of liver metastasis on the response to immunotherapy. Further large-scale studies are required to reveal the mechanism responsible for this finding.
In addition to liver metastasis, soft tissue, adrenal gland, and bone metastases have been confirmed as poor prognostic factors. These findings are similar to the results of previous studies (11,12,27). Although the reason is not yet clear, the HR for the OS of soft tissue metastasis was the highest among all metastatic sites. If cancer cells spread to uncommon sites such as soft tissue, which is usually a difficult site for cancer cells to survive, such cells are likely aggressive and might have already spread to other various organs (27). Interestingly, some metastatic sites including the brain and extra thoracic lymph nodes did not affect prognosis in the multivariate analysis. This might have been caused by the ease of local treatment, such as radiotherapy, on these sites compared with other metastatic sites. Patients with oligo metastatic NSCLC who received local consolidative therapy had significantly better outcomes (28,29). For these metastatic sites, we can consider aggressive local treatment in addition to systemic treatment.
There are several limitations in this study. First, this study was a single-center retrospective study. However, the Asan Medical Center is the largest tertiary-care hospital in Korea, and this current study is meaningful enough because real-world data from this large center have been used to analyze prognosis according to the first-line treatment and metastatic sites. Second, since the data were collected from 2015, the effect of immunotherapy as a first-line treatment, which has been proven by recent randomized controlled trials (30-32), has not yet been reflected. Moreover, immunotherapy with/without chemotherapy as first-line treatment is currently approved in Korea, but some patients refuse immunotherapy as first-line treatment due to financial burden as insurance does not cover it. We believe that this may be the reason for the low number of patients (n=69) who underwent immunotherapy as their first-line treatment, which includes only 11 patients with liver metastasis. There might also be different selections of immunotherapy with/without chemotherapy according to PD-L1 status or tumor mutational burden in the analysis period; hence, there may have been no difference in prognosis between the patients who received cytotoxic chemotherapy and immunotherapy in the present study. Nevertheless, it is notable that liver metastasis has different effects on prognosis in patients undergoing immunotherapy and those undergoing other treatments.
Third, the immunotherapy regime was also heterogeneous and patients with immunotherapy alone and combination therapy were analyzed together. Although, subgroup analysis showed results similar to those of the total immunotherapy group, further study is warranted to compare these subgroups with liver metastasis. In addition, outcomes were compared according to only the type of first-line chemotherapy. The treatment after first-line therapy may have affected the outcome; thus, further analysis according to subsequent treatment is necessary. Tumor burden or performance status, which could affect prognosis, should also be considered in future studies.
Conclusions
In conclusion, liver metastasis was associated with poor outcomes. Patients who received cytotoxic or targeted therapy had a poor prognosis if liver metastasis was present. However, liver metastasis did not affect prognosis in patients who received immunotherapy.
Acknowledgments
The authors would like to thank Enago (
Funding: This work was supported by Asan Institute for Life Sciences and Corporate Relations of Asan Medical Center, Seoul, Korea (grant number 2019IL0840 to W. Ji).
Footnote
Reporting Checklist: The authors have completed the STROBE reporting checklist. Available at http://dx.doi.org/10.21037/tlcr-21-206
Data Sharing Statement: Available at http://dx.doi.org/10.21037/tlcr-21-206
Peer Review File: Available at http://dx.doi.org/10.21037/tlcr-21-206
Conflict of Interest: All authors have completed the ICMJE uniform disclosure form (available at http://dx.doi.org/10.21037/tlcr-21-206). The authors have no conflicts of interest to declare.
Ethical Statement: The authors are accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved. The study was conducted in accordance with the Declaration of Helsinki (as revised in 2013). The study was approved by the institutional review board of Asan Medical Center (IRB No. 2020-0921) and individual consent for this retrospective analysis was waived.
Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0/.
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