The Impact of Molecularly Targeted Treatment on Direct Medical Costs in Patients with Advanced Non-small Cell Lung Cancer

June-Koo Lee; Dong-Wan Kim; Bhumsuk Keam; Tae Min Kim; Se-Hoon Lee; Young-Joo Kim; Dae Seog Heo

doi:10.4143/crt.2013.227

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Original Article The Impact of Molecularly Targeted Treatment on Direct Medical Costs in Patients with Advanced Non-small Cell Lung Cancer: June-Koo Lee, MD¹, Dong-Wan Kim, MD, PhD^1,2,, Bhumsuk Keam, MD^1,2, Tae Min Kim, MD, PhD^1,2, Se-Hoon Lee, MD, PhD^1,2, Young-Joo Kim, MSN³, Dae Seog Heo, MD, PhD^1,2; Cancer Research and Treatment : Official Journal of Korean Cancer Association 2015;47(2):182-188.
DOI: https://doi.org/10.4143/crt.2013.227
Published online: September 12, 2014

¹Department of Internal Medicine, Seoul National University Hospital, Seoul, Korea

²Cancer Research Institute, Seoul National University College of Medicine, Seoul, Korea

³Outcomes Research/Evidence Based Medicine Team, Pfizer Pharmaceuticals Korea Ltd., Seoul, Korea

Correspondence: Dong-Wan Kim, MD, PhD Department of Internal Medicine, Seoul National University Hospital, Seoul National University College of Medicine, 101 Daehak-ro, Jongno-gu, Seoul 110-744, Korea
Tel: 82-2-2072-2995 Fax: 82-2-764-2199 E-mail: kimdw@snu.ac.kr

• Received: November 7, 2013 • Accepted: March 20, 2014

This is an Open-Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Abstract

Purpose
To investigate the impact of targeted treatment on direct medical costs of patients with advanced non-small cell lung cancer (NSCLC).
Materials and Methods
Medical records of 108 stage IIIB/IV NSCLC patients treated in Seoul National University Hospital between 2003 and 2009, were reviewed to collect medical resources utilization data from the diagnosis of stage IIIB/IV NSCLC to the end of active anti-cancer treatment. The direct medical costs were calculated by multiplying the number of medical resources used by the unit price. All costs were expressed in US dollars for each patient.
Results
The mean total direct medical costs were $34,732 (standard deviation, 21,168) in the study cohort. The mean total direct medical costs were higher in epidermal growth factor receptor (EGFR) mutation (EGFR MT)–positive patients than EGFR wild-type (EGFR WT) patients ($41,403 vs. $30,146, p=0.005). However, the mean monthly direct medical costs did not differ significantly between EGFR MT–positive patients and EGFR WT patients ($2,120 vs. $2,702, p=0.119) because of the longer duration of active anti-cancer treatment in EGFR MT–positive patients. This discrepancy was mainly attributable to EGFR MT–positive patients’ lower non-chemotherapy costs ($948 vs. $1,522, p=0.007). The total and monthly direct medical costs of ALK fusion–positive patients who did not receive ALK inhibitors did not differ from WT/WT patients.
Conclusion
This study suggests that the availability of targeted agents for EGFR MT–positive patients lowers the mean monthly medical costs by prolonging survival and diminishing the use of other medical resources, despite the considerable drug costs.
Key words: Non-small cell lung carcinoma, Epidermal growth factor receptor, Anaplastic lymphoma kinase, Protein kinase inhibitors, Health care costs

Introduction

Lung cancer is the third most common cancer in the world and is responsible for the highest cancer mortality rate [1]. Non-small cell lung cancer (NSCLC), comprising 85% of total lung cancer cases, is a devastating disease with only a 10% 5-year survival rate in the advanced stage [2]. The significant economic burden of lung cancer is well documented. In 2004, the costs of lung cancer care in the United States were estimated at approximately 20% of total medicare expenditures on cancer care, greater than the total costs of colorectal and prostate cancer [3].

The introduction of molecular biomarkers and targeted agents dramatically improved treatment outcomes of advanced NSCLC [4]. Administration of gefitinib (Iressa, AstraZeneca) and erlotinib (Tarceva, Hoffman-La Roche) resulted in prolonged progression-free survival (PFS) of stage IV NSCLC patients harboring drug-sensitive epidermal growth factor receptor (EGFR) mutation (MT) [5-8]. Crizotinib (Xalkori, Pfizer) recently demonstrated 4.7-month prolongation of PFS as a second-line agent in patients with NSCLC harboring ALK fusion, in a phase III randomized controlled trial [9]. These clinical trials improved quality of life, mainly by reduced side effects; there were more grade 3 or 4 adverse events in the chemotherapy group [6-8]. Broad application of these agents, however, has been impeded by expensive biomarker testing and drug costs. Although many studies investigated the economics of introducing targeted agents to treat unselected NSCLC populations, differences in medical cost among relevant molecular subgroups has not been thoroughly investigated [10-14].

To elucidate the economics of molecular targeted therapy in advanced NSCLC patients, we investigated the direct medical costs of stage IIIB/IV NSCLC patients treated at Seoul National University Hospital, from 2003 to 2009. During this period, EGFR tyrosine kinase inhibitor (TKI) was available but crizotinib was not (this drug was introduced in a phase I trial in 2008). By contrasting the economic burden of patients with EGFR MT, ALK fusion and both wild-types (WT/WT), we could estimate the possible impact of molecularly targeted treatment on direct medical costs of advanced NSCLC.

Materials and Methods

1. Study population

The population of this study includes the subjects from the final analysis of the previous study [15]. From the parent population of 1,166 patients with advanced, non-squamous NSCLC managed at Seoul National University Hospital between 2003 and 2009, 23 patients were diagnosed as ALK fusion–positive. Each ALK fusion–positive patient was identically matched to two EGFR MT–positive (n=46), and two WT/WT patients (n=46) by their age at diagnosis, gender, stage of cancer, and smoking status. From the final cohort comprising 115 subjects, seven patients who did not receive any active anti-cancer treatment were excluded. Forty-four EGFR MT–positive, 22 ALK fusion–positive, and 42 WT/WT patients were included in this analysis. Clinical and pathologic information, including histology and molecular subtypes, was utilized from the dataset of the previous study. Reason for termination of active anti-cancer treatment was abstracted as well.

2. Data collection and quantification of medical resource utilization

An oncologist (J.-K.L.) reviewed electronic medical records of individual patients to determine which items were related to cancer treatment. The items assessed for cost included hospital visits, surgery, chemotherapy, radiotherapy, diagnostic or laboratory studies, and other adjunct treatments. The details of each item are summarized in Table 1.

Investigators collected and captured individual data on medical resource utilization. Another oncologist (D.-W.K.) did a final validation after the entire data collection process.

The direct medical costs were calculated by multiplying the number of medical resources used by the unit price of each. The unit price of each medical resource was obtained from the National Health Insurance in Korea, based on the standard prices of 2011. For items not covered by the National Health Insurance, the actual costs paid by the patients were obtained from Seoul National University Hospital.

The total direct medical costs were analyzed throughout the duration of active anti-cancer treatment, a period defined between the date of stage IIIB/IV diagnosis and the end of active anti-cancer treatment. Active anti-cancer treatment was defined as surgery, chemotherapy or radiotherapy. Individual patients had different survival durations depending on molecular subtypes [15]. We assumed that the study population had different active anti-cancer treatment durations that led to different medical resource utilization. To adjust the total direct medical costs with active treatment duration, the mean monthly direct medical costs were calculated by dividing total direct medical costs by the active treatment duration. All costs are presented in 2012 US dollars (October 2012); this exchange rate approximately corresponds to the value of average exchange rate of US dollars during the past 10 years (1 USD=1,100 KRW).

3. Statistical analysis

Descriptive analyses were performed to clarify the distributions of demographic, clinical characteristics and medical costs. The difference between the mean total direct medical costs by patients’ characteristics and total and monthly direct medical costs by molecular subtypes were determined by t tests or ANOVA with log transformation of the costs. When comparing the chemotherapy and non-chemotherapy costs between each molecular subgroup, the Kruskal-Wallis test was used because the distribution is right-skewed. Direct medical cost of each molecular subgroup was analyzed over time, at 6-month intervals until 1 year from the start of active treatment, and 12-month intervals thereafter. Data analyses were performed using SPSS ver. 20.0 (SPSS Inc. Chicago, IL).

4. Ethical considerations

The Institutional Review Board (IRB) of Seoul National University Hospital (IRB No. H-1104-109-359) reviewed and approved the study protocol, and exempted the study from the obligation to obtain informed consent. This study was performed in observance of the World Medical Association’s Declaration of Helsinki.

Results

1. Patient characteristics

One hundred and eight patients with stage IIIB/IV non-squamous NSCLC were included in this analysis. The median age was 51, with over 60% of patients being female, and over 80% having adenocarcinoma histology. The mean duration of active anti-cancer treatment in the study population was 20.1 months and the average number of treatment regimens was 3.3 (standard deviation, 1.7). The most common chemotherapy treatments were gemcitabine (69% of patients), pemetrexed (56%), cisplatin (56%), and gefitinib (54%) (Table 2). The most common reason for termination of active anti-cancer treatment was disease progression (57.4%), followed by patient refusal (19.4%), and adverse events or functional decline (14.8%).

2. Total direct medical costs

The mean total direct medical cost was $34,732. Chemotherapy costs comprised the largest portion (61.2%) of the direct medical costs, followed by diagnostic studies and adjunct medication (Fig. 1). The mean total direct costs were higher in patients under 55 than over 55 ($36,006 vs. $32,480), male than female ($40,446 vs. $30,953, p=0.004), stage IV than IIIB ($34,920 vs. $14,660; p-value, not acquired) and adenocarcinoma than non-small cell carcinoma, not otherwise specified ($35,770 vs. $29,545) (Table 3).

3. Direct medical costs by molecular subtypes

Out of 108 patients, 22 were ALK fusion–positive, 44 were EGFR MT and 42 were WT/WT. The mean duration of active anti-cancer treatment was 23.7 months in EGFR MT–positive, significantly longer than in ALK fusion–positive and WT/WT patients (p=0.011) (Table 4). Among the EGFR MT– positive patients, 42 (95.4%) received EGFR TKIs but none of the ALK fusion–positive patients received ALK inhibitors.

Total direct medical costs were significantly higher in EGFR MT–positive patients compared to the other two groups (p=0.003) (Table 4). Monthly direct medical costs, however, did not differ across the groups (p=0.294); non-chemotherapy costs in EGFR MT–positive patients were lower than the other two groups (p=0.026) although chemotherapy costs did not differ (p=0.234) among the three groups (Table 4).

The differences were highlighted when comparing EGFR MT–positive patients, who were treated using targeted therapies, and EGFRWT patients (including ALK fusion–positive and WT/WT patients), who were treated using conventional therapies. Total direct medical costs were significantly higher in EGFR MT–positive patients compared to EGFR WT patients ($41,403 vs. $30,146, p=0.005). However, monthly direct medical costs between EGFR MT–positive patients and EGFR WT patients did not significantly differ ($2,120 vs. $2,702, p=0.119).

For patients with ALK fusion, both the total direct medical costs ($22,463) and the monthly direct medical costs ($2,397) did not differ significantly compared to WT/WT patients (vs. $34,171 and $2,862, p=0.070 and p=0.656, respectively). Monthly direct medical cost and their components over time are plotted in Fig. 2. In all three groups, total medical cost was the highest at the start of the active treatment, gradually decreased, and increased again approaching termination of active treatment.

Discussion

Tumor histopathology has long been a standard parameter for treatment selection for NSCLC patients. The efficacy of various chemotherapeutic agents used in the treatment of NSCLC was similar among the different histologic subtypes [16]. The treatment of NSCLC has evolved substantially with the advances of therapy specifically targeting molecular biomarkers. Several clinical trials find that targeted therapy enhances therapeutic efficacy, reduces toxicity and leads to an improved quality of life [6-8], but with increased drug and diagnosis costs. Through this study, we show the potential value of molecularly targeted treatment on the reduction of economic burdens in patients with advanced non-small cell lung cancer.

EGFR MT–positive patients’ total direct medical costs were the highest among the three groups. When considering treatment duration, the monthly costs of EGFR MT–positive patients were significantly lower. The difference was mainly due to their low non-chemotherapy costs. This suggests that the availability of targeted treatment for EGFR MT–positive patients lowers the mean monthly medical costs by prolongation of survival and reducing use of other medical resources, despite the considerable drug cost and cost for EGFR mutation analysis ($164 in Seoul National University Hospital, direct sequencing of EGFR exon 18-21). The monthly costs of adjunct medication were significantly lower in EGFR MT–positive group ($211 vs. $287, p=0.008) similar to the results of the INTEREST trial [17]. This can be partly explained by superior safety outcomes.

ALK fusion–positive patients’ total and monthly direct medical costs did not differ from those of WT/WT patients. The ALK inhibitor was not available for the ALK fusion– positive patients in this study. They received the same conventional anti-cancer treatment as WT/WT patients, resulting in no difference in the direct medical costs. After 2008, a significant portion of advanced NSCLC patients harboring ALK fusion received crizotinib. Targeted treatment may be economically preferable for these patients for the same reason. Further economic analysis can provide additional insight into the impact of targeted treatment on medical costs.

In this study, the medical cost for male patients was significantly higher. We could not find the reason for this difference in our analyses. Findings are inconsistent on medical cost difference by gender in lung cancer patients [18]. Female lung cancer patients were more likely to be never-smokers [19], and tended to be less symptomatic [20] compared with male patients with lung cancer. This may partly explain the gender difference in direct medical cost in our study.

There are several limitations to this study. First, the characteristics of this study population reflect the characteristics of ALK fusion–positive patients, not regular NSCLC population due to the sampling methods used. Second, medical costs were only collected during the active treatment period but not throughout the entire survival period of patients. Medical cost at the end of life could not be collected largely because of referral to hospice/palliative care facilities or loss. Medical cost in the final month is disproportionally high because of life-sustaining care [21]. Medical resource use in the end-of-life is closely related to end-of-life discussions between patient, caregiver, and physician [22], another factor determining the direct medical cost of advanced NSCLC patients. Third, adjunct medication data was collected only from prescribed medications but not itemized by the side effects that were treated. This study, therefore, should not be generalized to all NSCLC cases. Last, monthly-basis cost analysis has limited value especially for the aspect of health care system, although this analysis provided information on the medical cost per unit time.

Despite these limitations, the study contributes valuable information to the economic characterization of NSCLC treatment. While previous studies examined the economics of molecular targeted therapies in general NSCLC populations [10-14], this is the first study investigating the difference of direct medical cost among molecular subgroups of NSCLC. The results pinpointed the impact of targeted therapies on a potential reduction of medical resource utilization and associated cost, while precisely collecting cost data from individual patients and individually selected items, under an oncologist’s recommendation. The study results reflect standard clinical practice and will result in a better refinement of treatment selection parameters.

Conclusion

This study quantified medical resource utilization and associated costs for treatment of advanced NSCLC compared across molecular subgroups. EGFR MT–positive patients had a definite molecular target and received appropriately targeted agents. Their monthly medical costs were the lowest among the three groups, by reducing use of other medical resources despite high drug costs. However, ALK fusion– positive patients did not have available targeted agents and their monthly medical costs were no different from WT/WT patients. In conclusion, molecular targeted therapy can lower monthly direct medical cost by diminishing the use of medical resources other than chemotherapy, which results from their better clinical outcomes.

NOTES

Dong-Wan Kim has acted as a consultant and has received honorarium from Pfizer. Se-Hoon Lee has acted as a consultant and has received honorarium from Pfizer. Young-Joo Kim is an employee of Pfizer.

Acknowledgements

This study was sponsored in part by Pfizer Pharmaceuticals Korea Limited.

Fig. 1.

Proportion of each item comprising mean total direct medical costs.

Fig. 2.

Monthly total direct medical cost over time, in each molecular subgroup. EGFR, epidermal growth factor receptor; MT, mutation; ALK, anaplastic lymphoma kinase; WT, wild-type.

Table 1.

Sources used in calculation of direct medical costs

Medical resources utilized	Details
Hospital visits	Outpatient or emergency department visit, hospitalization
Surgery	Name of surgery, date of surgery
Chemotherapy	Anticancer agent, route and dose of administration
Radiotherapy	Irradiated site and dose
Diagnostic studies	Imaging studies (X-ray, computed tomography, etc.)
	Biochemical studies (tumor marker, biomarkers, etc.)
Laboratory tests	Blood (complete blood count, chemistry, blood culture, etc.)
	Urine or other body specimen (urinalysis, microscopy, etc.)
Adjunctive medication	Antibiotics, antiemetics, steroids, etc.
Other treatments	Nutrition (oral, enteral or parenteral), oxygen therapy, etc.

Table 2.

Characteristics of study patients

Characteristic	No. (%) (n=108)
Age (yr)
< 55	69 (63.9)
≥ 55	39 (36.1)
Gender
Male	43 (39.8)
Female	65 (60.2)
Stage
IIIB	1 (0.9)
IV	107 (99.1)
Pathology
Adenocarcinoma	90 (83.3)
NSCC, NOS	18 (16.7)
Molecular subtypes
EGFR MT–positive	44 (40.7)
ALK fusion–positive	22 (20.4)
WT/WT	42 (38.9)
Duration of active treatment (mean±SD)	20.1±16.0
No. of treatment regimens (mean±SD)	3.3±1.7
Chemotherapy
Gemcitabine	75 (69)
Pemetrexed	61 (56)
Cisplatin	60 (56)
Gefitinib	58 (54)
Paclitaxel	55 (51)
Carboplatin	48 (44)
Erlotinib	41 (38)
Vinorelbine	39 (36)
Docetaxel	35 (32)
Methotrexate	13 (12)
Others	17 (16)

NSCC, NOS, non-small cell carcinoma, not otherwise specified; EGFR, epidermal growth factor receptor; MT, mutation; ALK, anaplastic lymphoma kinase; WT, wild-type.

Table 3.

Total direct medical costs for study patients

Characteristic	No. (%)	Total direct medical cost^a)	p-value
Total	108 (100)	34,732±21,168
Age (yr)			0.238
< 55	69 (63.9)	36,006±21,260
≥ 55	39 (36.1)	32,480±21,089
Gender			0.004
Male	43 (39.8)	40,446±20,798
Female	65 (60.2)	30,953±20,708
Stage
IIIB	1 (0.9)	14,660
IV	107 (99.1)	34,920±21,177
Pathology			0.128
Adenocarcinoma	90 (83.3)	35,770±20,342
NSCC, NOS	18 (16.7)	29,546±24,892

NSCC, NOS, non-small cell carcinoma, not otherwise specified.

^a) Mean±standard deviation (US dollar per person).

Table 4.

Direct medical costs by molecular subtypes

	EGFR MT–postivie (n=44)	ALK fusion–positive (n=22)	WT/WT (n=42)	EGFR WT^a) (n=64)	p-value^b)	p-value^c)
Active anti-cancer treatment duration (mo)	23.7±15.5	13.4±12.9	19.9±17.2	17.7±16.0	0.011	0.009
Total cost	41,403±22,718	22,463±11,442	34,171±20,788	30,146±18,876	0.003	0.005
Chemotherapy	27,253±18,105	11,805±9,397	19,957±16,281	17,155±14,737	0.010	0.011
Non-chemotherapy	14,150±7,896	10,657±3,967	14,214±8,932	12,991±7,750	0.026	0.007
Monthly cost^d)	2,120±1,188	2,397±1,220	2,862±2,128	2,702±1,869	0.294	0.119
Chemotherapy	1,172±452	1,021±404	1,265±1,155	1,181±968	0.234	0.861
Non-chemotherapy	948±1,123	1,376±1,079	1,598±1,911	1,522±1,666	0.026	0.007

Values are presented mean±standard deviation. EGFR, epidermal growth factor receptor; MT, mutation; ALK, anaplastic lymphoma kinase; WT, wild-type.

^a) EGFRWT were EGFR MT–negative and ALK fusion–positive,

^b) EGFR MT–positive versus ALK fusion–positive, versus WT/WT,

^c) EGFR MT–positive versus EGFR WT,

^d) Total monthly medical costs were calculated by dividing total direct medical costs by the duration of active treatment in each patient.

REFERENCES

1. Jemal A, Bray F, Center MM, Ferlay J, Ward E, Forman D. Global cancer statistics. CA Cancer J Clin. 2011;61:69–90. Article PubMed
2. Siegel R, Naishadham D, Jemal A. Cancer statistics, 2012. CA Cancer J Clin. 2012;62:10–29. Article PubMed
3. Yabroff KR, Lamont EB, Mariotto A, Warren JL, Topor M, Meekins A, et al. Cost of care for elderly cancer patients in the United States. J Natl Cancer Inst. 2008;100:630–41. Article PubMed
4. Ettinger DS, Akerley W, Bepler G, Blum MG, Chang A, Cheney RT, et al. Non-small cell lung cancer. J Natl Compr Canc Netw. 2010;8:740–801. Article PubMed
5. Mok TS, Wu YL, Thongprasert S, Yang CH, Chu DT, Saijo N, et al. Gefitinib or carboplatin-paclitaxel in pulmonary adenocarcinoma. N Engl J Med. 2009;361:947–57. Article PubMed
6. Maemondo M, Inoue A, Kobayashi K, Sugawara S, Oizumi S, Isobe H, et al. Gefitinib or chemotherapy for non-small-cell lung cancer with mutated EGFR. N Engl J Med. 2010;362:2380–8. Article PubMed
7. Mitsudomi T, Morita S, Yatabe Y, Negoro S, Okamoto I, Tsurutani J, et al. Gefitinib versus cisplatin plus docetaxel in patients with non-small-cell lung cancer harbouring mutations of the epidermal growth factor receptor (WJTOG3405): an open label, randomised phase 3 trial. Lancet Oncol. 2010;11:121–8. Article PubMed
8. Rosell R, Carcereny E, Gervais R, Vergnenegre A, Massuti B, Felip E, et al. Erlotinib versus standard chemotherapy as firstline treatment for European patients with advanced EGFR mutation-positive non-small-cell lung cancer (EURTAC): a multicentre, open-label, randomised phase 3 trial. Lancet Oncol. 2012;13:239–46. Article PubMed
9. Shaw AT, Kim DW, Nakagawa K, Seto T, Crino L, Ahn MJ, et al. Crizotinib versus chemotherapy in advanced ALK-positive lung cancer. N Engl J Med. 2013;368:2385–94. Article PubMed
10. Bongers ML, Coupe VM, Jansma EP, Smit EF, Uyl-de Groot CA. Cost effectiveness of treatment with new agents in advanced non-small-cell lung cancer: a systematic review. Pharmacoeconomics. 2012;30:17–34. Article PubMed
11. Cromwell I, van der Hoek K, Malfair Taylor SC, Melosky B, Peacock S. Erlotinib or best supportive care for third-line treatment of advanced non-small-cell lung cancer: a real-world cost-effectiveness analysis. Lung Cancer. 2012;76:472–7. Article PubMed
12. Vergnenegre A, Ray JA, Chouaid C, Grossi F, Bischoff HG, Heigener DF, et al. Cross-market cost-effectiveness analysis of erlotinib as first-line maintenance treatment for patients with stable non-small cell lung cancer. Clinicoecon Outcomes Res. 2012;4:31–7. Article PubMed PMC
13. Chouaid C, Le Caer H, Corre R, Crequit J, Locher C, Falchero L, et al. Cost analysis of erlotinib versus chemotherapy for first-line treatment of non-small-cell lung cancer in frail elderly patients participating in a prospective phase 2 study (GFPC 0505). Clin Lung Cancer. 2013;14:103–7. Article PubMed
14. Walleser S, Ray J, Bischoff H, Vergnenegre A, Rosery H, Chouaid C, et al. Maintenance erlotinib in advanced nonsmall cell lung cancer: cost-effectiveness in EGFR wild-type across Europe. Clinicoecon Outcomes Res. 2012;4:269–75. PubMed PMC
15. Lee JK, Park HS, Kim DW, Kulig K, Kim TM, Lee SH, et al. Comparative analyses of overall survival in patients with anaplastic lymphoma kinase-positive and matched wild-type advanced nonsmall cell lung cancer. Cancer. 2012;118:3579–86. Article PubMed
16. Gadgeel SM, Cote ML, Schwartz AG, Matherly LH, Wozniak A, Bepler G. Parameters for individualizing systemic therapy in non-small cell lung cancer. Drug Resist Updat. 2010;13:196–204. Article PubMed PMC
17. Horgan AM, Bradbury PA, Amir E, Ng R, Douillard JY, Kim ES, et al. An economic analysis of the INTEREST trial, a randomized trial of docetaxel versus gefitinib as second-/third-line therapy in advanced non-small-cell lung cancer. Ann Oncol. 2011;22:1805–11. Article PubMed
18. Bouwes N. The cost of illness handbook [Internet]. Washington, DC: U.S. Environmental Protection Agency; 2010 [cited 2014 Jan 21]. Available from: http://www.epa.gov/oppt/coi/pubs/toc.html
19. McDuffie HH, Klaassen DJ, Dosman JA. Female-male differences in patients with primary lung cancer. Cancer. 1987;59:1825–30. Article PubMed
20. de Perrot M, Licker M, Bouchardy C, Usel M, Robert J, Spiliopoulos A. Sex differences in presentation, management, and prognosis of patients with non-small cell lung carcinoma. J Thorac Cardiovasc Surg. 2000;119:21–6. Article PubMed
21. Emanuel EJ, Ash A, Yu W, Gazelle G, Levinsky NG, Saynina O, et al. Managed care, hospice use, site of death, and medical expenditures in the last year of life. Arch Intern Med. 2002;162:1722–8. Article PubMed
22. Zhang B, Wright AA, Huskamp HA, Nilsson ME, Maciejewski ML, Earle CC, et al. Health care costs in the last week of life: associations with end-of-life conversations. Arch Intern Med. 2009;169:480–8. Article PubMed PMC

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The Impact of Molecularly Targeted Treatment on Direct Medical Costs in Patients with Advanced Non-small Cell Lung Cancer

Cancer Res Treat. 2015;47(2):182-188. Published online September 12, 2014

DOI: https://doi.org/10.4143/crt.2013.227

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Abstract
Introduction
Materials and Methods
Results
Discussion
Conclusion
NOTES
REFERENCES

The Impact of Molecularly Targeted Treatment on Direct Medical Costs in Patients with Advanced Non-small Cell Lung Cancer

Fig. 1. Proportion of each item comprising mean total direct medical costs.

Fig. 2. Monthly total direct medical cost over time, in each molecular subgroup. EGFR, epidermal growth factor receptor; MT, mutation; ALK, anaplastic lymphoma kinase; WT, wild-type.

Fig. 1.

Fig. 2.

The Impact of Molecularly Targeted Treatment on Direct Medical Costs in Patients with Advanced Non-small Cell Lung Cancer

Medical resources utilized	Details
Hospital visits	Outpatient or emergency department visit, hospitalization
Surgery	Name of surgery, date of surgery
Chemotherapy	Anticancer agent, route and dose of administration
Radiotherapy	Irradiated site and dose
Diagnostic studies	Imaging studies (X-ray, computed tomography, etc.)
	Biochemical studies (tumor marker, biomarkers, etc.)
Laboratory tests	Blood (complete blood count, chemistry, blood culture, etc.)
	Urine or other body specimen (urinalysis, microscopy, etc.)
Adjunctive medication	Antibiotics, antiemetics, steroids, etc.
Other treatments	Nutrition (oral, enteral or parenteral), oxygen therapy, etc.

Characteristic	No. (%) (n=108)
Age (yr)
< 55	69 (63.9)
≥ 55	39 (36.1)
Gender
Male	43 (39.8)
Female	65 (60.2)
Stage
IIIB	1 (0.9)
IV	107 (99.1)
Pathology
Adenocarcinoma	90 (83.3)
NSCC, NOS	18 (16.7)
Molecular subtypes
EGFR MT–positive	44 (40.7)
ALK fusion–positive	22 (20.4)
WT/WT	42 (38.9)
Duration of active treatment (mean±SD)	20.1±16.0
No. of treatment regimens (mean±SD)	3.3±1.7
Chemotherapy
Gemcitabine	75 (69)
Pemetrexed	61 (56)
Cisplatin	60 (56)
Gefitinib	58 (54)
Paclitaxel	55 (51)
Carboplatin	48 (44)
Erlotinib	41 (38)
Vinorelbine	39 (36)
Docetaxel	35 (32)
Methotrexate	13 (12)
Others	17 (16)

Characteristic	No. (%)	Total direct medical cost^a)	p-value
Total	108 (100)	34,732±21,168
Age (yr)			0.238
< 55	69 (63.9)	36,006±21,260
≥ 55	39 (36.1)	32,480±21,089
Gender			0.004
Male	43 (39.8)	40,446±20,798
Female	65 (60.2)	30,953±20,708
Stage
IIIB	1 (0.9)	14,660
IV	107 (99.1)	34,920±21,177
Pathology			0.128
Adenocarcinoma	90 (83.3)	35,770±20,342
NSCC, NOS	18 (16.7)	29,546±24,892

	EGFR MT–postivie (n=44)	ALK fusion–positive (n=22)	WT/WT (n=42)	EGFR WT^a) (n=64)	p-value^b)	p-value^c)
Active anti-cancer treatment duration (mo)	23.7±15.5	13.4±12.9	19.9±17.2	17.7±16.0	0.011	0.009
Total cost	41,403±22,718	22,463±11,442	34,171±20,788	30,146±18,876	0.003	0.005
Chemotherapy	27,253±18,105	11,805±9,397	19,957±16,281	17,155±14,737	0.010	0.011
Non-chemotherapy	14,150±7,896	10,657±3,967	14,214±8,932	12,991±7,750	0.026	0.007
Monthly cost^d)	2,120±1,188	2,397±1,220	2,862±2,128	2,702±1,869	0.294	0.119
Chemotherapy	1,172±452	1,021±404	1,265±1,155	1,181±968	0.234	0.861
Non-chemotherapy	948±1,123	1,376±1,079	1,598±1,911	1,522±1,666	0.026	0.007

Table 1. Sources used in calculation of direct medical costs

Table 2. Characteristics of study patients

NSCC, NOS, non-small cell carcinoma, not otherwise specified; EGFR, epidermal growth factor receptor; MT, mutation; ALK, anaplastic lymphoma kinase; WT, wild-type.

Table 3. Total direct medical costs for study patients

NSCC, NOS, non-small cell carcinoma, not otherwise specified.

Mean±standard deviation (US dollar per person).

Table 4. Direct medical costs by molecular subtypes

Values are presented mean±standard deviation. EGFR, epidermal growth factor receptor; MT, mutation; ALK, anaplastic lymphoma kinase; WT, wild-type.

EGFRWT were EGFR MT–negative and ALK fusion–positive,

EGFR MT–positive versus ALK fusion–positive, versus WT/WT,

EGFR MT–positive versus EGFR WT,

Total monthly medical costs were calculated by dividing total direct medical costs by the duration of active treatment in each patient.