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. 2017 Feb;23(2):10.18553/jmcp.2017.23.2.195. doi: 10.18553/jmcp.2017.23.2.195

Treatment Patterns and Overall Survival Associated with First-Line Systemic Therapy for Patients with Advanced Non-Small Cell Lung Cancer

Michele M Spence 1,*, Rita L Hui 4, Jennifer T Chang 2, Joanne E Schottinger 5, Mirta Millares 3, Nazia Rashid 1
PMCID: PMC10397706  PMID: 28125366

Abstract

BACKGROUND:

A variety of regimens are used as first-line treatment in patients with advanced non-small cell lung cancer (NSCLC), which may include combination regimens and single agents, depending on histology, molecular profile, and performance status.

OBJECTIVE:

To describe the types of first-line therapies and compare overall survival between therapies used for patients with advanced NSCLC in an integrated health care system.

METHODS:

This retrospective cohort study included patients aged 18 years or older from Kaiser Permanente California with a diagnosis of stage IIIB/IV NSCLC. First systemic treatment date occurred from January 1, 2008, through September 30, 2013. Overall survival was measured as the number of months from initial treatment until death, end of enrollment, or September 30, 2014. Treatment regimens were categorized into 6 mutually exclusive groups: platinum doublets; pemetrexed-based, bevacizumab-based, and pemetrexed + bevacizumab-based combinations; singlets; and tyrosine-kinase inhibitors (TKIs). Survival was compared using Kaplan-Meier curves and adjusted Cox proportional hazard models. Subgroup analyses were performed by age group and by nonsquamous histology.

RESULTS:

Of 2,081 patients, approximately half (52.3%) received platinum doublets, followed by TKIs (19.0%), pemetrexed-based regimens (13.4%), bevacizumab-regimens (8.0%), singlets (5.5%), and pemetrexed + bevacizumab-based combinations (1.8%). Median survival was longest for pemetrexed + bevacizumab-based combinations (18.5 months), followed by bevacizumab-based regimens (14.5), TKIs (12.7), pemetrexed-based regimens (10.4), doublets (9.2), and singlets (5.3). There was a significantly reduced risk of mortality for pemetrexed + bevacizumab-based combinations (HR = 0.64; 95% CI = 0.42-0.94) and TKIs (HR = 0.83; 95% CI = 0.73-0.94) compared with doublets. Singlets were associated with an increased risk of mortality (HR = 1.50; 95% CI = 1.22-1.84). Subgroup analysis among patients aged 65 years and over found no significant differences among treatment groups, with the exception of singlets, which were associated with an increased risk of mortality compared with doublets (HR = 1.51; 95% CI = 1.20-1.90). Among patients under aged 65 years, pemetrexed + bevacizumab-based combinations (HR = 0.36; 95% CI = 0.21-0.64) and TKIs (HR = 0.76; 95% CI = 0.59-0.97) were associated with a reduced risk of mortality, and singlets were associated with an increased risk (HR = 1.85; 95% CI = 1.17-2.92).

CONCLUSIONS:

In this cohort of patients with advanced NSCLC, patients received a platinum agent with or without bevacizumab or pemetrexed, a TKI, or a single agent. Younger patients (aged < 65 years) receiving bevacizumab + pemetrexed-based combinations had a survival advantage over those receiving platinum doublets, and this finding merits further investigation. Younger patients receiving TKIs also had longer survival. Compared with platinum doublets, we found no survival advantage for older patients receiving bevacizumab or pemetrexed, which suggests that combination therapy of a platinum agent and taxane, such as carboplatin and paclitaxel, could be a reasonable option for older patients who are not candidates for targeted therapy.


What is already known about this subject

  • Lung cancer is the second most commonly diagnosed cancer in the United States and the leading cause of cancer death among men and women.

  • About 80%-85% of lung cancers are non-small cell lung cancer (NSCLC).

  • There are many possible treatment options for NSCLC, depending on histology, molecular targeting, oncogenic mutations, performance status, and other clinical factors.

What this study adds

  • This study examined differences in overall survival between first-line systemic regimens among patients with advanced NSCLC in a real-world setting.

  • Patients aged younger than 65 years who used bevacizumab + pemetrexed-based combinations had a survival advantage over those using platinum doublets. Younger patients using tyrosine-kinase inhibitors also had longer sur v ival compared w ith platinum doublets.

  • None of the regimens produced a sur v ival advantage over platinum doublets among patients aged 65 years or older.

An estimated 224,390 patients were diagnosed with lung cancer in 2016, which represents 13.3% of all new newly diagnosed cancers and is the second most commonly diagnosed cancer.1 Non-small cell lung cancer (NSCLC) is the most common form of lung cancer and accounts for 85% of all lung cancer cases.2 The overall 5-year survival rate for NSCLC is 17. 7 %. 1 Most patients with NSCLC are diagnosed at an advanced stage where survival rates continue to be dismally low.1

For years, platinum-based chemotherapy, such as carboplatin in combination with paclitaxel, has been the mainstay of first-line treatment of advanced NSCLC. However, newer regimens are now optimally defined by histology, molecular targeting of vascular endothelial growth factor (VEGF), or oncogenic driver mutations. The Eastern Cooperative Oncology Group’s (ECOG) 4599 trial demonstrated that the addition of bevacizumab, a monoclonal antibody against VEGF, to carboplatin and paclitaxel improved overall survival by 2 months compared with carboplatin and paclitaxel alone.3 This trial was conducted among patients with nonsquamous histology, and a subsequent analysis by age found that elderly patients did not benefit from the addition of bevacizumab and had increased side effects.4 Retrospective studies have found similar results, although 1 study reported longer survival and fewer hospitalizations among a cohort of Medicare patients.5-7 In a secondary analysis of the ECOG 4599 and PointBreak trials, a survival benefit associated with the addition of bevacizumab was found for patients aged less than 75 years, but not for those aged 75 years or older.8

The National Comprehensive Cancer Network (NCCN) Guidelines Panel endorses broader molecular testing for epidermal growth factor receptor (EFGR) mutation and the anaplastic lymphoma kinase (ALK) gene.9 For patients that are not positive for either test and have a good performance status of 0 or 1, two-drug chemotherapy is preferred. The NCCN guidelines note that many drugs are useful for stage IV NSCLC, including platinum agents such as carboplatin and cisplatin; taxanes such as paclitaxel and docetaxel; and vinorelbine, etoposide, pemetrexed, and gemcitabine. Bevacizumab may be added if the NSCLC is of nonsquamous histology, and the patient has no recent history of hemoptysis. Pemetrexed, an antifolate agent, is now one of the most frequently used chemotherapies for nonsquamous NSCLC. A phase III study showed that overall survival was better with cisplatin + pemetrexed than with cisplatin + gemcitabine among patients with nonsquamous NSCLC, with fewer grade 3 or 4 drug-related toxicities.10 Consequently, many patients now receive pemetrexed-based regimens rather than taxanes because of better tolerability. Pemetrexed is not indicated for the treatment of squamous cell NSCLC. For patients with squamous cell NSCLC and good performance status (and are not candidates for targeted therapy), the NCCN recommends doublet regimens without pemetrexed or bevacizumab. There is superior efficacy for cisplatin + gemcitabine in comparison with cisplatin + pemetrexed for patients with squamous cell NSCLC.10 For patients with poor performance status, the NCCN recommends single-agent chemotherapy or platinum-based doublets. Single-agent chemotherapy is often used because of concerns about toxicity. Best supportive palliative care is recommended for patients with a performance status of 3 or 4.

Oral tyrosine-kinase inhibitors (TKIs) include erlotinib, gefitinib, afatinib, crizotinib, ceritinib, and alectinib. The NCCN recommends erlotinib, gefitinib, or afatinib for patients with metastatic nonsquamous NSCLC who are EGFR positive, regardless of their performance status. Quality of life is improved for patients using TKIs compared with chemotherapy, and they have fewer side effects.9 Crizotinib is recommended for patients who are positive for the ALK gene rearrangement.

Most first-line systemic therapies for NSCLC have been shown to produce 1-year survival rates of 30%-40%.9 However, integrating the data from numerous trials and selecting the most appropriate therapy for patients remains challenging, especially for patients with nonsquamous histology and no known oncogenic driver mutations. Few studies have used real-world data to compare the clinical outcomes associated with more than 2 or 3 different first-line regimens. This study aims to describe the types of first-line therapies and compare overall survival between therapies used for patients with advanced NSCLC in an integrated health care system.

Methods

Data Sources

A retrospective cohort design was used to compare treatment regimens among patients from Kaiser Permanente (KP) California, an integrated health care system that serves over 8 million members in California.11 We identified all patients with a diagnosis of stage IIIB or stage IV NSCLC from the KP Southern California Cancer Registry and the KP Northern California Cancer Registry. Both registries document invasive and in situ cancer, including all solid tumors and systemic malignancies. Cases are reported to the California Cancer Registry and the National Surveillance, Epidemiology and End-Results Program.1 Pharmacy and chemotherapy infusion data were extracted from electronic health records and databases, as were coded inpatient and outpatient encounters. Codes were based on the International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) system. Demographic and enrollment data were taken from administrative membership databases. Death data were derived from the cancer registry, membership data, and state death certificates from the Social Security Administration. This study was approved by the institutional review boards of KP Southern California (KPSC) and KP Northern California (KPNC).

Study Sample

Patients had to have the initial treatment for stage IIIB or stage IV NSCLC after the diagnosis of NSCLC from January 1, 2008, through September 30, 2013, and were followed until death, disenrollment from the health plan, or September 30, 2014, whichever came first. The initial first-line treatment was defined as the index date. Patients were also required to have continuous health plan enrollment and a drug benefit at least 12 months before the index date. Patients were excluded if they were aged younger than 18 years, died within 1 month of the index date, or initiated treatment more than 120 days after diagnosis of NSCLC. Based on the 1-year survival rates of 30%-40% for patients using first-line systemic therapies for NSCLC, we estimated that we would need about 350 patients in each treatment group to detect a 10% difference in survival between groups at 80% power and an alpha level of 0.05.

Identification of First-Line Treatment Groups

First-line treatment was defined as initiation of systemic or oral chemotherapy within 120 days of NSCLC diagnosis. We identified all the initial treatment regimens and then grouped the most frequently used agents into 6 categories. Because we initially identified over 28 different regimens for first-line treatment, we decided to group them into similar categories that were clinically meaningful and that allowed analysis. The most frequently used agents were categorized in these 6 groups: (1) platinum doublets, which included any platinum chemotherapy in combination with a single agent, excluding pemetrexed and bevacizumab; (2) pemetrexed-based regimen using pemetrexed alone or in combination with platinum chemotherapy; (3) bevacizumab-based regimen, which included bevacizumab alone or in combination with a single agent or platinum chemotherapy; (4) pemetrexed+bevacizumab, which included pemetrexed and bevacizumab with or without a platinum agent; (5) single nonplatinum agents; and (6) TKIs (Appendix A, available in online article).

Outcomes

Overall survival was the primary outcome, defined as the number of months from the start of first-line therapy until death. Death data were captured until September 30, 2014. Patients who were disenrolled from the health plan or who were alive at the end of the study period were censored. We also described the most common chemotherapy-related adverse events, which were identified from package inserts and classified using ICD-9-CM diagnosis codes and diagnosis-related groups after the initiation of chemotherapy (Appendix B, available in online article).

Baseline Covariates

Demographic and clinical data included age at index date, gender, race, geographic region (KPSC or KPNC), stage of tumor at diagnosis, histology, comorbidities, and smoking status. Race was identified from the electronic medical record and was categorized as non-Hispanic white, non-Hispanic black, Asian/Pacific Islander, Hispanic, or other/unknown. Tumor stage IIIB or IV was defined using the American Joint Committee on Cancer from the cancer registry, as was squamous or nonsqua-mous NSCLC. We measured the comorbidity level of patients using the Deyo modification of the Charlson Comorbidity Index, which excludes cancer diagnoses from the score.12 This modification uses inpatient and outpatient diagnosis 12 months before the index date (excluding the first month before the index date) to calculate a score for each patient in the study. Scores can range from 0 to 15, with higher scores indicating greater morbidity. Smoking status was identified from patients’ medical records and classified as current smoker, past smoker, or never smoked.

Statistical Analysis

Analyses were performed by comparing each of the 5 treatment groups with the platinum doublets group (reference group). Baseline characteristics were compared using the chi-square test or Fisher’s exact text for differences in percentages and t-tests for differences in means. The Kaplan-Meier method was used to characterize the contour of survival over time and estimate differences in median survival between the 6 groups using the log-rank test. We conducted unadjusted and adjusted multivariable Cox proportional hazards models controlling for demographic and clinical characteristics to examine the effect of the 5 treatment regimens on doublets for overall survival and to examine patient characteristics related to survival. The models were adjusted for age, sex, race, region, stage, histology, Charlson Comorbidity Index, smoking, and subsequent therapy. The proportional hazards assumption was tested during the modeling process by adding an interaction term for each covariate by time. We also conducted subgroup analyses by age group (65 years or over and under 65 years) and by nonsquamous histology.

Because this was a retrospective study, there is the potential for bias caused by confounders that can predispose patients to be selected for a particular treatment group. To minimize this potential bias, we used a propensity score approach to balance any systematic differences in observed confounders between the treatment groups. This propensity score is the conditional probability of each patient receiving a particular treatment based on pretreatment variables. Multivariate logistic regression was employed to calculate the propensity scores for each treatment group. We then used the inverse probability of treatment weight (IPTW) to weight the observations for better control of confounding. These weights were then normalized to reflect the sample size for each of the treatment groups. Chi-square tests and P values were used to assess whether baseline characteristics were balanced across the 6 treatment groups after weighting. Finally, Cox proportional hazards models were rerun using the IPTW normalized weights to assess overall survival. Statistical significance was set at P < 0.05, and all tests were 2-tailed. The SAS statistical package, version 9.2, was used for all analysis (SAS Institute, Cary, NC).

Results

There were 2,081 patients in the cohort. Approximately half (52.3%) were using platinum doublets, followed by TKIs (19.0%), pemetrexed-based regimens (13.4%), bevacizumab-based regimens (8.0%), singlets (5.5%), and pemetrexed + bevacizumab-based combinations (1.8%). Appendix A describes the specific regimens and agents that were used in each of the 6 treatment groups. The most common regimen was carboplatin + paclitaxel, used by 739 (35.5%) patients. There were 395 (19.0%) patients receiving TKIs; erlotinib was the only TKI agent used.

There were significant differences between the treatment groups in demographic and clinical characteristics (Table 1). Compared with doublets, patients receiving bevacizumab-based or pemetrexed + bevacizumab-based regimens were younger, and those taking singlets were older and had significantly higher Charlson comorbidity scores. Those receiving a TKI were more likely to be female, Asian, diagnosed at stage IV, had nonsquamous histology, and had never smoked. Patients on pemetrexed, bevacizumab, or pemetrexed + bevacizumab combinations were also more likely to have never smoked and were more likely to have nonsquamous histology than those on doublets. Patients receiving pemetrexed-based or bevacizumab-based regimens were more likely to go on to subsequent therapy compared with platinum doublets, whereas those receiving a TKI were less likely to receive subsequent therapy.

TABLE 1.

Demographic and Clinical Characteristics of NSCLC Cohort by Treatment Group

Characteristic Doublets n = 1,088 Pem-based n = 279 P Valuea Pem + Bev-based n = 38 P Value Bev-based n = 167 P Value Singlets n = 114 P Value TKI n = 395 P Value
Age, mean (SD) 66.3 (± 9.5) 66.3(± 10.3) 0.924 60.7 (± 9.0) < 0.001 64.4 (± 9.6) 0.019 73.1 (± 9.9) < 0.001 69.6(± 12.0) < 0.001
Gender, n (%)
 Male 597 (54.9) 145 (52.0) 0.386 20 (52.6) 0.785 95 (56.9) 0.626 63 (55.3) 0.936 144 (36.5) < 0.001
 Female 491 (45.1) 134 (48.0) 18 (47.4) 72 (43.1) 51 (44.7) 251 (63.5)
Race, n (%)
 White 734 (67.5) 172 (61.7) 0.254 21 (55.3) 0.089 106 (63.5) 0.024 81 (71.1) 0.563 209 (52.9) < 0.001
 Black 135 (12.4) 42 (15.1)   6 (15.8)   16 (9.6)   14 (12.3)   27 (6.8)  
 Asian 113 (10.4) 35 (12.5)   9 (23.7)   30 (18.0)   13 (11.4)   120 (30.4)  
 Hispanic 94 (8.6) 29 (10.4)   2 (5.3)   11 (6.6)   6 (5.3)   36 (9.1)  
Other/unknown 12 (1.1) 1 (0.4)   0 (0.00)   4 (2.4)   0 (0.00)   3 (0.8)  
Region, n (%)
 South 378 (34.7) 127 (45.5) 0.001 21 (55.3) 0.009 72 (43.1) 0.036 39 (34.2) 0.910 154 (39.0) 0.132
 North 710 (65.3) 152 (54.5)   17 (44.7)   95 (56.9)   75 (65.8)   241 (61.0)  
AJCC stage, n (%)
 IIIB 229 (21.1) 20 (7.2) < 0.001 4 (10.5) 0.116 20 (12.0) 0.006 17 (14.9) 0.122 41 (10.4) < 0.001
 IV 859 (79.0) 259 (92.8)   34 (89.5)   147 (88.0)   97 (85.1)   354 (89.6)  
Histology, n (%)
 Squamous 272 (25.0) 2 (0.7) < 0.001 1 (2.6) 0.002 4 (2.4) < 0.001 19 (16.7) 0.048 16 (4.1) < 0.001
 Nonsquamous 816 (75.0) 277 (99.3)   37 (97.4)   163 (97.6)   95 (83.3)   379 (96.0)  
Subsequent therapy, n (%)
 No 538 (49.5) 113 (40.5) 0.008 14 (36.8) 0.127 55 (32.9) < 0.001 65 (57.0) 0.124 254 (64.3) < 0.001
 Yes 550 (50.6) 166 (59.5)   24 (63.2)   112 (67.1)   49 (43.0)   141 (35.7)  
 Charlson score, mean (SD) 1.06 (± 1.5) 0.98 (± 1.5) 0.420 0.79 (± 1.5) 0.266 0.83 (± 1.4) 0.059 1.47 (± 1.8) 0.020 1.11 (± 1.6) 0.622
Smoking status, n (%)
 Current smoker 133 (12.2) 20 (7.2) 0.005 1 (2.6) < 0.001 11 (6.6) < 0.001 8 (7.0) 0.160 19 (4.8) < 0.001
 Never smoked 161 (14.8) 59 (21.2)   15 (39.5)   43 (25.8)   14 (12.3)   198 (50.1)  
 Past smoker 794 (73.0) 200 (71.7)   22 (57.9)   113 (67.7)   92 (80.7)   178 (45.1)  

aP values are compared with doublets.

AJCC = American Joint Committee on Cancer; Bev = bevacizumab; NSCLC = non-small cell lung cancer; Pem = pemetrexed; TKI = tyrosine-kinase inhibitor; SD = standard deviation.

Kaplan-Meier curves (Figure 1) showed an early separation for the pemetrexed + bevacizumab-based group, whose median survival was 18.5 months, followed by the bevacizumab-based group with a median survival of 14.5 months, TKIs (12.7 months), pemetrexed-based regimens (10.4 months), and doublets (9.2 months). Singlets had the shortest median survival of 5.3 months.

FIGURE 1.

FIGURE 1

Kaplan-Meier Survival Curves of 6 Chemotherapy Groups for Overall Survival

Propensity score adjusted models in Table 2 indicate that pemetrexed + bevacizumab-based regimens were associated with a reduced risk of mortality (hazard ratio [HR] = 0.63; 95% confidence interval [CI] = 0.42-0.94; P = 0.023), as were TKIs (HR = 0.83; 95% CI = 0.73-0.94; P = 0.004). Singlets were associated with an increased risk (HR = 1.50; 95% CI = 1.22-1.84; P < 0.001). Patient characteristics related to an increased risk of mortality included a diagnosis of stage IV (HR = 1.86; 95% CI = 1.62-2.14; P < 0.001), squamous histology (HR = 1.19; 95% CI = 1.04-1.35; P = 0.010), and higher Charlson comorbidity score (HR = 1.04; 95% CI = 1.01-1.07; P = 0.021). Subsequent treatment for NSCLC was associated with a reduced risk of mortality (HR = 0.44; 95% CI = 0.40-0.49; P < 0.001).

TABLE 2.

Hazard Ratios for Overall Survival for Study Treatment Groups

  Unadjusted Adjusted Propensity Score Adjusted
Characteristic HR 95% CI P Value HR 95% CI P Value HR 95% CI P Value
Treatment group
 Doublets 1.0 [Ref] 1.0 [Ref] 1.0 [Ref] 1.0 [Ref] 1.0 [Ref] 1.0 [Ref]
 Pem-based 0.96 0.84-1.11 0.602 0.98 0.84-1.13 0.754 1.04 0.90-1.20 0.590
 Pem+Bev-based 0.48 0.32-0.72 0.001 0.50 0.33-0.76 0.001 0.63 0.42-0.94 0.023
 Bev-based 0.85 0.71-1.01 0.066 0.97 0.81-1.16 0.741 1.04 0.88-1.24 0.653
 Singlets 1.55 1.26-1.89 < 0.001 1.53 1.25-1.87 < 0.001 1.50 1.22-1.84 <0.001
 TKI 0.88 0.78-1.00 0.045 0.85 0.74-0.98 0.028 0.83 0.73-0.94 0.004
Age, years
< 65       1.0 [Ref] 1.0 [Ref] 1.0 [Ref] 1.0 [Ref]
 ≥ 65       1.00 0.91-1.11 0.947 0.98 0.89-1.08 0.674
Gender
 Female       1.0 [Ref] 1.0 [Ref] 1.0 [Ref] 1.0 [Ref]
 Male       1.11 1.00-1.22 0.045 1.09 0.99-1.20 0.071
Race
 White       1.0 [Ref] 1.0 [Ref] 1.0 [Ref] 1.0 [Ref]
 Black       0.95 0.82-1.11 0.538 0.90 0.77-1.04 0.146
 Asian       0.89 0.77-1.03 0.131 0.92 0.80-1.06 0.231
 Hispanic       0.89 0.75-1.06 0.202 0.88 0.74-1.04 0.133
 Other/unknown       1.05 0.66-1.65 0.843 1.03 0.65-1.63 0.891
Region
 North       1.0 [Ref] 1.0 [Ref] 1.0 [Ref] 1.0 [Ref]
 South       1.01 0.92-1.12 0.803 1.09 0.99-1.20 0.091
AJCC stage
 IIIB       1.0 [Ref] 1.0 [Ref] 1.0 [Ref] 1.0 [Ref]
 IV       1.78 1.56-2.04 < 0.001 1.86 1.62-2.14 < 0.001
Histology
 Nonsquamous       1.0 [Ref] 1.0 [Ref] 1.0 [Ref] 1.0 [Ref]
 Squamous       1.07 0.94-1.23 0.319 1.19 1.04-1.35 0.010
Subsequent therapy
 No       1.0 [Ref] 1.0 [Ref] 1.0 [Ref] 1.0 [Ref]
 Yes       0.50 0.45-0.55 < 0.001 0.44 0.40-0.49 < 0.001
 Charlson score       1.04 1.01-1.07 0.019 1.04 1.01-1.07 0.021
Smoking status
 Past       1.0 [Ref] 1.0 [Ref] 1.0 [Ref] 1.0 [Ref]
 Current       1.13 0.96-1.33 0.129 1.09 0.93-1.29 0.280
 Never       0.89 0.78-1.01 0.069 0.93 0.82-1.05 0.249

AJCC = American Joint Committee on Cancer; Bev = bevacizumab; CI = confidence interval; HR = hazard ratio; Pem = pemetrexed; Ref = reference group; SD = standard deviation; TKI = tyrosine-kinase inhibitor.

Subgroup analysis for patients aged less than 65 years revealed similar results as the model for all ages (Table 3). Pemetrexed + bevacizumab-based combinations (HR = 0.36; 95% CI = 0.21-0.64; P < 0.001) and TKIs (HR = 0.76; 95% CI = 0.59-0.97; P = 0.030) were associated with a reduced risk of mortality, while singlets had an increased risk (HR = 1.85; 95% CI = 1.17-2.92; P = 0.009). For patients aged 65 years or older, however, only singlets were significantly associated with an increased risk of mortality (HR = 1.51; 95% CI = 1.20-1.90; P < 0.001). The subgroup analysis of patients with nonsqua-mous histology also showed a reduced risk of mortality for the pemetrexed + bevacizumab-based group (HR = 0.47; 95% CI = 0.30-0.72; P < 0.001) and TKIs (HR = 0.83; 95% CI = 0.72-0.96; P = 0.013) and increased risk for singlets (HR = 1.40; 95% CI = 1.11-1.75; P = 0.004).

TABLE 3.

Hazard Ratios for Overall Survival by Subgroup

Subgroup Number Adjusted HRa 95% CI P Value
Age under 65 years
Doublets 449 1.0 [Ref]
 Pem-based 123 0.84 0.67-1.07 0.157
 Pem + Bev-based 26 0.36 0.21-0.64 < 0.001
 Bev-based 82 0.87 0.67-1.15 0.329
 Singlets 21 1.85 1.17-2.92 0.009
 TKI 131 0.76 0.59-0.97 0.030
Age 65 years and older
 Doublets 639 1.0 [Ref]
 Pem-based 156 1.07 0.88-1.30 0.475
 Pem + Bev-based 12 0.83 0.44-1.55 0.550
 Bev-based 85 1.05 0.82-1.34 0.705
 Singlets 93 1.51 1.20-1.90 < 0.001
 TKI 264 0.91 0.76-1.08 0.265
Nonsquamous histology
 Doublets 816 1.0 [Ref]
 Pem-based 277 0.95 0.81-1.10 0.468
 Pern + Bev-based 37 0.47 0.30-0.72 < 0.001
 Bev-based 163 0.95 0.79-1.15 0.603
 Singlets 95 1.40 1.11-1.75 0.004
 TKI 379 0.83 0.72-0.96 0.013

aAdjusted for age, sex, race, region, stage, histology, Charlson Comorbidity Index, smoking, and subsequent therapy.

Bev = bevacizumab; CI = confidence interval; HR = hazard ratio; Pem = pemetrexed; Ref = reference group; TKI = tyrosine-kinase inhibitor.

Table 4 shows the distribution of adverse events by treatment group. Over 76% of patients taking doublets experienced at least 1 adverse event, with the majority having anemia (44.1%). Compared with doublets, only TKIs had a significantly lower rate of adverse events (66.3%; P < 0.001). Patients taking TKIs had lower rates of anemia, bone marrow depression, leukopenia, neutropenia, thrombocytopenia, and venous and arterial thrombosis. However, they had a higher rate of skin rash compared with doublets (14.9% vs. 9.0%; P = 0.001). Patients using pemetrexed-based regimens had a higher rate of pulmonary embolism than those taking doublets (13.6% vs. 6.5%; P = 0.0 02).

TABLE 4.

Adverse Events by Treatment Group

Adverse Drug Event Doublets n = 1,088 n (%) Pem-based n = 279 n (%) P Value Pem + Bev-based n = 38 n (%) P Value Bev-based n = 167 n (%) P Value Singlets n = 114 n (%) P Value TKI n = 395 n (%) P Value
Acute myocardial infarction 39 (3.6) 3 (1.1) 0.030 0 (0.0) 0.235 3 (1.8) 0.102 2 (1.8) 0.150 7 (1.8) 0.075
Anemia 480 (44.1) 121 (43.4) 0.822 17 (44.7) 0.940 65 (38.9) 0.207 42 (36.8) 0.136 107 (27.1) < 0.001
Angina 35 (3.2) 10 (3.6) 0.759 0 (0.0) 0.261 3 (1.8) 0.134 3 (2.6) 0.223 7 (1.8) 0.138
Bleeding events 220 (20.2) 57 (20.4) 0.938 9 (23.7) 0.602 42 (25.2) 0.145 19 (16.7) 0.366 78 (19.8) 0.841
Bone marrow depression 234 (21.5) 51 (18.3) 0.236 3 (7.9) 0.043 35 (21.0) 0.872 26 (22.8) 0.749 40 (10.1) < 0.001
Cerebrovascular stroke 43 (4.0) 13 (4.7) 0.595 1 (2.6) 0.343 8 (4.8) 0.610 4 (3.5) 0.202 21 (5.3) 0.253
Deep vein thrombosis 7 (0.6) 2 (0.7) 0.892 0 (0.0) 0.786 0 (0.0) 0.367 0 (0.0) 0.497 0 (0.0) 0.114
Delay in wound healing 4 (0.4) 0 (0.0) 0.401 0 (0.0) 0.872 2 (1.2) 0.150 0 (0.0) 0.671 2 (0.5) 0.309
Diarrhea 156 (14.3) 43 (15.4) 0.650 7 (18.4) 0.482 22 (13.2) 0.688 15 (13.2) 0.731 71 (18.0) 0.086
Fistula 4 (0.4) 1 (0.1) 0.410 0 (0.0) 0.872 2 (1.2) 0.150 0 (0.0) 0.671 1 (0.3) 0.386
Gastrointestinal perforations 1 (0.1) 0 (0.00) 0.796 0 (0.0) 0.966 1 (0.6) 0.231 0 (0.0) 0.905 0 (0.0) 0.734
Heart failure 101 (9.3) 22 (7.9) 0.467 3 (7.9) 0.227 10 (6.0) 0.163 16 (14.0) 0.103 36 (9.1) 0.921
Hepatotoxicity 17 (1.6) 8 (2.9) 0.147 1 (2.6) 0.343 4 (2.4) 0.167 5 (4.4) 0.036 11 (2.8) 0.126
Leukopenia 52 (4.8) 13 (4.7) 0.933 1 (2.6) 0.302 8 (4.8) 0.995 4 (3.5) 0.169 5 (1.3) 0.002
Neutropenia 171 (15.7) 31 (11.1) 0.053 6 (15.8) 0.990 29 (17.4) 0.588 17 (14.9) 0.822 21 (5.3) < 0.001
Peripheral neuropathy 14 (1.3) 5 (1.8) 0.520 0 (0.0) 0.617 3 (1.8) 0.219 1 (0.9) 0.354 2 (0.5) 0.198
Pruritus, skin rash 98 (9.0) 26 (9.3) 0.872 3 (7.9) 0.230 21 (12.6) 0.143 12 (10.5) 0.593 59 (14.9) 0.001
Pulmonary embolism 83 (7.6) 38 (13.6) 0.002 3 (7.9) 0.237 13 (7.8) 0.944 10 (8.8) 0.664 26 (6.6) 0.495
Thrombocytopenia 135 (12.4) 27 (9.7) 0.208 3 (7.9) 0.160 24 (14.4) 0.478 10 (8.8) 0.257 19 (4.8) < 0.001
Transient cerebral ischemia 7 (0.6) 1 (0.4) 0.578 0 (0.0) 0.786 4 (2.4) 0.038 1 (0.9) 0.379 3 (0.8) 0.260
Venous or arterial thrombosis 226 (20.7) 64 (22.9) 0.430 6 (15.8) 0.455 31 (18.6) 0.510 21 (18.4) 0.555 63 (16.0) 0.038
Visual disturbance 36 (3.3) 5 (1.8) 0.185 1 (2.6) 0.367 3 (1.8) 0.125 2 (1.8) 0.174 8 (2.0) 0.064
Any adverse event 833 (76.6) 220 (78.9) 0.417 27 (71.1) 0.432 130 (77.8) 0.715 81 (71.1) 0.189 262 (66.3) < 0.001

Bev = bevacizumab; Pem = pemetrexed; TKI = tyrosine-kinase inhibitor.

Discussion

In this study, a majority of patients with advanced NSCLC received platinum doublets. Carboplatin-based doublets (n = 910; 43.7%) were more commonly used than cisplatin-based doublets (n = 178; 8.5%), perhaps because of concerns about greater toxicity associated with cisplatin.13 The most common first-line regimen was carboplatin + paclitaxel, which is similar to a study conducted at 8 NCCN institutions, where the most common regimen among off-trial patients was also carboplatin + paclitaxel.14 Pemetrexed combined with either carboplatin or cisplatin was also frequently used in both the NCCN study and our study. Among regimens containing bevacizumab, the combination of carboplatin + paclitaxel + bevacizumab was the most frequently used, although there was slightly lower use in our cohort (7%) compared with the NCCN institutions (11%). Another similarity found was that regimens containing pemetrexed and bevacizumab were not commonly used: 2% in our study and 4% in the NCCN study. Erlotinib was also the only TKI used, and use was higher in our study (19%) compared with the NCCN study (13%), possibly because of the longer and more recent time frame of our study, which took place 2008-2013, whereas the NCCN study time frame was 2006-2009. Singlets were used in about 5% of both cohorts, most likely among patients with poor prognosis.

Patient characteristics that were associated with the various regimens appear to be consistent with NCCN guidelines. Two drug regimens are preferred, and patients with squamous histology do not benefit from either bevacizumab or pemetrexed.9 Most patients in our cohort were on 2 drug regimens, and very few patients with squamous NSCLC were taking any combination with bevacizumab or pemetrexed. Those with squamous histology in our cohort were also less likely to be using a TKI (erlotinib), perhaps because patients with squamous cell carcinoma are unlikely to have sensitizing EGFR mutations.15 Although we were not able to determine EGFR mutation testing results from our databases, we found that patients on TKIs in our cohort were more likely to be never smokers, female, or Asian—3 characteristics that are associated with a higher prevalence of EGFR mutations.16 Patients who were given singlet chemotherapy were older and had higher Charlson comorbidity scores, which may indicate that these patients had higher performance status. The NCCN recommends that single-agent chemotherapy may be appropriate in select patients who have a performance status of 2 and are not candidates for targeted therapies.

We found a decreased risk of mortality associated with pemetrexed + bevacizumab-based regimens, mainly in combination with cisplatin and carboplatin. Although this was a small group (n = 34), the results also held for the subgroup analysis among those patients aged less than 65 years and those with nonsquamous NSCLC. The PointBreak trial found that pemetrexed + bevacizumab and carboplatin followed by pemetrexed + bevacizumab maintenance therapy resulted in significantly longer progression-free survival compared with paclitaxel + bevacizumab + carboplatin, but with no difference in overall survival.17 Similarly, the AVAPERL trial compared pemetrexed + bevacizumab + cisplatin as first-line therapy, followed by bevacizumab with or without pemetrexed and found prolonged progression-free survival for the pemetrexed + bevacizumab group, but the study was not powered to show a statistically significant improvement in overall survival.18 The NCCN guidelines do have bevacizumab + pemetrexed with either carboplatin or cisplatin regimens listed as possible first-line options for selected patients, but it is not a category 1 recommendation. Our results must be interpreted with caution, but an explanation may be that these were patients with good performance status who were enrolled in a clinical trial. A post hoc chart review of the 34 patients revealed that none were participating in a clinical trial, and the prescribing oncologists noted that the patients had excellent performance status and would be able to tolerate the regimen. In addition, many of the prescribers were early adopters of this regimen based on emerging data and initial results from the PointBreak trial.19 This result highlights the importance of early research results and demonstrates the incorporation of new evidence into clinical practice.

Patient characteristics associated with reduced overall survival included stage IV, squamous histology, and higher Charlson comorbidity scores. Patients diagnosed at later stages and those who were sicker and had a greater burden of comorbidities had a poorer survival outlook. We also found that patients moving to subsequent therapy after first-line treatment had improved survival. Although we could not tell whether patients were put on continuous or switch maintenance, longer survival among these patients may be because of a “survivor effect,” in other words, they survived long enough to receive maintenance therapy. We conducted a sensitivity analysis among patients who did not use subsequent therapy (n = 1,039) and found similar results for most treatment groups compared with doublets, with the exception that the TKI group no longer had a significantly decreased risk of mortality (pemetrexed-based regimens [HR = 0.89; 95% CI = 0.71-1.12; P = 0.318]; pemetrexed + bevacizumab-based combinations [HR = 0.53; 95% CI = 0.282-0.99; P = 0.053]; bevacizumab-based regimens [HR = 1.29; 95% CI = 0.96-1.73; P = 0.092]; singlets [HR = 1.61; 95% CI = 1.23-2.10; P ≤ 0.001]; and TKIs [HR = 1.01; 95% CI = 0.84-1.21; P = 0.931]).

Among patients aged 65 years and older, the subgroup analysis showed no survival advantage for any of the treatment groups compared with platinum doublets. This is congruent with previous findings; for example, the ECOG 4599 trial found no advantage for the use of bevacizumab in this population, as did several retrospective studies.4-6,8 The NCCN guidelines, however, do not make specific recommendations by age; performance status is a more important risk factor than age alone. Phase III trials have shown improved overall survival in first-line treatment for elderly patients taking platinum doublets compared with singlets. For example, 2 trials showed that platinum doublets of either carboplatin + paclitaxel or carboplatin + pemetrexed improve overall survival in those patients aged 70 years and older who had a performance status of 2, compared with single-agent treatments.20,21 We found similar results for patients using single agents. Singlets had the lowest median months of survival, and in all models, singlets were associated with reduced survival compared with platinum doublets.

Patients taking TKIs had the lowest rate of adverse events. However, the TKI group had a higher rate of skin rash. The most common adverse events from the package insert (> 20%) associated with erlotinib are rash-like events and diarrhea.22 Pemetrexed-based regimens were associated with a higher rate of pulmonary embolism compared with platinum doublets.

Limitations

This study has several limitations. Selection bias is a possible source of confounding in retrospective studies. Patients may receive one systemic first-line therapy over another based on performance status and other patient characteristics or according to prescriber preferences. We were not able to include performance status, but we did include the Deyo modification of the Charlson comorbidity score and other covariates to act as a proxy for performance status in our propensity score models. While we had enough sample size for the platinum doublet and TKI groups, other treatment groups, especially the pemetrexed + bevacizumab-based group and the singlets group, did not reach adequate sample size. We, therefore, cannot exclude the possibility that a larger sample would produce different results.

Other limitations include the lack of information on molecular biomarker status (EGFR or ALK), severity of adverse events, weight loss, disease progression, tumor response, radiotherapy, surgical procedures, and whether the patient was enrolled in a clinical trial; if available, information in these areas could potentially affect the choice of and response to first-line therapy. This study did not assess therapy duration and dosing of systemic therapies; in addition, we were not able to capture information on the more subjective measures such as pain and quality of life. Other than subsequent therapy for NSCLC, we did not include other treatments or medications (e.g., drugs for pain or steroids) that were given to patients at the same time or after first-line therapy. Finally, all data were obtained from a single managed care organization in California, so the results might not be generalizable to other settings or uninsured populations.

The treatment of NSCLC has rapidly evolved over the past few years. The addition of targeted therapies to standard chemotherapy and the approval of immune checkpoint inhibitors such as nivolumab, atezolizumab, and pembrolizumab represent important milestones in the treatment of NSCLC. Because we used data only through 2014, we were not able to include newer therapies. Survival outcomes and analyses around the potentially serious complications associated with newer therapies are important areas for future comparative effectiveness research.

Conclusions

This study explored treatment patterns and overall survival for first-line systemic therapies in patients with advanced NSCLC in a large, integrated health care system. These results provide insight on the types of therapies being prescribed to patients with advanced stage NSCLC and factors associated with overall survival between these therapies.

In this cohort of patients with advanced NSCLC, most patients received a platinum agent with or without bevacizumab or pemetrexed, a TKI such as erlotinib, or a single agent such as gemcitabine. Younger patients (aged < 65 years) using bevacizumab + pemetrexed-based combinations had a survival advantage over those using platinum doublets, and this finding merits further investigation. Younger patients using TKIs also had a survival advantage, and TKIs were associated with fewer adverse events. Compared with platinum doublets, we found no survival advantage for older patients using bevacizumab or pemetrexed, which suggests that combination therapy of a platinum agent and taxane, such as carboplatin and paclitaxel, is a reasonable option for older patients who are not candidates for targeted therapy.

Acknowledgments

The authors thank Fang Niu, MS, for statistical consultation and advice, and Tim Chiu, PharmD, BCPS, for clinical information and advice.

APPENDIX A. Description of 6 Mutually Exclusive Chemotherapy Groups

Chemotherapy Group, N (% of 2,081 in Cohort) Regimen Number of Patients in Regimen (% of Chemotherapy Group)
Doublets, 1,088 (52.3) Carboplatin + paclitaxel 739 (67.9)
Carboplatin + gemcitabine 171 (15.7)
Cisplatin + etoposide 103 (9.5)
Cisplatin + gemcitabine 47 (4.3)
Cisplatin + vinorelbine 28 (2.6)
Pemetrexed-based regimens, 279 (13.4) Carboplatin + pemetrexed 155 (55.6)
Cisplatin + pemetrexed 83 (29.7)
Pemetrexed 41 (14.7)
Pemetrexed + bevacizumab-based combinations, 38 (1.8) Bevacizumab + carboplatin + pemetrexed 21 (55.3)
Bevacizumab + cisplatin + pemetrexed 13 (34.2)
Bevacizumab + pemetrexed 4 (10.5)
Bevacizumab-based regimens, 167 (8.0) Bevacizumab + carboplatin + paclitaxel 140 (83.8)
Bevacizumab + carboplatin + gencitabine 13 (7.8)
Bevacizumab 10 (6.0)
Bevacizumab + cisplatin + gemcitabine 2 (1.2)
Bevacizumab + gemcitabine 2 (1.2)
Singlets, 114 (5.5) Gemcitabine 38 (33.3)
Vinorelbine 37 (32.5)
Paclitaxel 28 (24.6)
Docetaxel 11 (9.6)
Tyrosine-kinase inhibitors, 395 (19.0) Erlotinib 395 (100.0)

APPENDIX B. Adverse Events with Corresponding ICD-9-CM Diagnosis and Diagnosis-Related Group Codes

Diagnosis/Adverse Event DRG Codes ICD-9-CM Diagnosis Codes
Acute myocardial infarction 121-123, 280 - 285 410.xx
Anemia 808, 809, 810 283.0, 283.9, 285.22, 285.3, 285.9
Angina 140, 311 411.1, 411.8, 413.xx
Bleeding events 360.43, 362.81, 364.41, 430, 459.0, 511.89, 569.3, 578, 578.1, 599.7, 623.8, 626.2, 626.6, 784.7, 786.3
Bone marrow depression 574, 808-810 284.11, 284.12, 284.19, 284.9
Cerebrovascular stroke 014, 015, 559, 061-068 430.xx-432.xx
Deep vein thrombosis 128, 294, 295 451.1, 451.2, 451.81, 453.2
Delay in wound healing 872-897
Diarrhea 182-184, 391, 392 787.91
Fistulas 510.0, 530.84, 576.4, 593.89, 596.2, 619.8
Gastrointestinal perforations 174-177, 569, 570, 330, 331, 377-382 530.4, 531.1, 531.2, 531.5, 531.6, 532.1, 532.2, 532.5, 532.6, 533.1, 533.2, 533.5, 533.6, 534.1, 534.2, 534.5, 534.6, 569.83
Heart failure 127, 291, 292, 293 428
Hepatotoxicity 205, 206, 441-443 570, 794.8, 864.0
Leukopenia 398, 399, 814-816 288.5
Neutropenia 288.0, 288.9, 780.61
Peripheral neuropathy 018, 019, 073, 074 337, 357.89
Pruritus, skin rash 283, 284, 606, 607 698.9, 782.1
Pulmonary embolism 078, 175, 176 415.1
Thrombocytopenia 397, 813 287.49, 287.5
Transient cerebral ischemia 524, 069 435, 437
Venous or arterial thrombosis 130, 131, 299, 300, 301 250.7, 440.0, 440.2, 440.3, 440.8, 440.9, 441, 442.0, 442.2, 442.3, 442.8, 442.9, 443.1, 443.2, 443.8, 443.9, 444, 445, 447.0, 447.1, 447.2, 447.5, 447.8, 447.9, 448.0, 448.9, 451.0, 451.8, 451.9, 453.1, 453.4, 453.8, 453.9, 454, 456.3, 456.8, 459.1, 459.2, 459.81, 785.4, 908.3, 908.4, 997.2, 997.79
Visual disturbance 043, 046-048, 124, 125 368.1, 368.2, 368.3, 368.8, 368.9

DRG = diagnosis-related group; ICD-9-CM = International Classification of Diseases, Ninth Revision, Clinical Modification.

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