Literature DB >> 30821083

Evaluation of osimertinib efficacy according to body surface area and body mass index in patients with non-small cell lung cancer harboring an EGFR mutation: A prospective observational study.

Taihei Ono1, Satoshi Igawa1, Takahiro Ozawa1, Masashi Kasajima1, Mikiko Ishihara1, Yasuhiro Hiyoshi1, Seiichiro Kusuhara1, Noriko Nishinarita1, Tomoya Fukui1, Masaru Kubota1, Jiichiro Sasaki2, Mitsufuji Hisashi3, Masato Katagiri4, Katsuhiko Naoki1.   

Abstract

BACKGROUND: Osimertinib is recommended for non-small cell lung cancer (NSCLC) patients with EGFR mutation; however, it is unclear whether body size variables affect the efficacy of osimertinib in such patients. This study assessed the potential effect of body surface area (BSA) and body mass index (BMI) on osimertinib chemotherapy in patients with T790M-positive advanced NSCLC who progress on prior EGFR-tyrosine kinase inhibitors (TKIs).
METHODS: We conducted a prospective observational cohort study. Median BSA and BMI were used as cut-off values to evaluate the impact of body size variables on osimertinib chemotherapy.
RESULTS: The median BSA and BMI of 47 patients were 1.50 m2 and 21.5 kg/m2 , respectively. Clinical outcomes did not significantly differ between the high and low BSA groups, with response rates of 59.1% and 56.0% (P = 0.83) and progression-free survival (PFS) of 7.6 and 9.1 months (P = 0.69), respectively. Similarly, there were no significant differences between the high and low BMI groups relative to response rates, which were 60.8% and 54.1% (P = 0.64), respectively, and PFS, which was 7.6 months in both groups (P = 0.38). No significant differences were observed among toxicity profiles in relation to BSA or BMI. Multivariate analysis identified better performance status, young age, and EGFR exon 19 deletion as independent favorable predictors of PFS.
CONCLUSION: The efficacy of osimertinib does not significantly vary relative to body size variables of patients with T790M-positive NSCLC who progress on prior EGFR-TKIs.
© 2019 The Authors. Thoracic Cancer published by China Lung Oncology Group and John Wiley & Sons Australia, Ltd.

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Keywords:  Body mass index; body surface area; non-small cell lung carcinoma; osimertinib; progression-free survival

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Year:  2019        PMID: 30821083      PMCID: PMC6590234          DOI: 10.1111/1759-7714.13018

Source DB:  PubMed          Journal:  Thorac Cancer        ISSN: 1759-7706            Impact factor:   3.500


Introduction

Lung cancer is a major cause of cancer death. Non‐small cell lung cancer (NSCLC) accounts for approximately 85% of all lung cancers.1 Targeted therapies are currently being developed to improve efficacy in driver‐oncogene positive NSCLC patient populations. Small‐molecule tyrosine kinase inhibitors (TKIs) that target EGFR have been introduced clinically for the treatment of NSCLC. Meta‐analyses have clearly indicated improved progression‐free survival (PFS) and response rates in patients with EGFR mutations administered EGFR‐TKI therapy including gefitinib, erlotinib, and afatinib, compared to patients administered chemotherapy with cytotoxic drugs.2, 3, 4, 5 Based on these results, EGFR‐TKIs have become the standard regimen for patients with advanced NSCLC harboring an EGFR mutation. In addition, EGFR‐TKIs combined with chemotherapy in NSCLC patients with EGFR mutations is reported achieve longer survival and tolerable side effects.6, 7, 8 However, despite initial responses to EGFR‐TKI, the majority of patients will experience disease progression within two years as a result of acquired resistance.9, 10, 11, 12, 13, 14, 15, 16, 17 In approximately 60% of patients, the mechanism of acquired resistance is the development of an additional EGFR mutation, EGFR T790M.16 Osimertinib is a mono‐anilino‐pyrimidine compound that irreversibly and selectively targets EGFR‐TKI‐sensitizing and T790M resistant mutant forms of EGFR, while sparing wild‐type EGFR.18, 19, 20 A Phase I/II AURA trial was conducted to determine the safety and efficacy of osimertinib in patients with advanced NSCLC who experience disease progression after previous treatment with EGFR‐TKIs.21 Osimertinib showed high efficacy in patients with T790M mutation, with an objective response rate (ORR) of 61% and median PFS of 9.6 months. To confirm results of the single‐arm, Phase I/II AURA trial, a randomized, Phase III trial (AURA3) was conducted that demonstrated the superiority of osimertinib treatment over standard chemotherapy with platinum and pemetrexed in patients with EGFR‐mutated and centrally confirmed T790M‐positive advanced NSCLC who experienced disease progression after first‐line EGFR‐TKI therapy.22 Analysis of the primary endpoint indicated a significantly longer PFS in patients administered osimertinib compared to those treated with platinum chemotherapy. This result established the role of osimertinib as the standard‐of‐care for patients harboring the T790M resistance mutation who progress on first‐line EGFR‐TKIs. Because the standard dose of osimertinib was determined as 80 mg/day, a uniform dosage of 80 mg/day is prescribed, regardless of body size. Although dose adjustments based on body surface area (BSA) have been made in chemotherapy with cytotoxic agents, it is unknown whether body size variables, such as BSA or body mass index (BMI), affect the efficacy of osimertinib therapy in NSCLC patients who carry an EGFR mutation. The objective of this study was to determine whether BSA and BMI affect the efficacy of osimertinib in patients with advanced NSCLC harboring a T790M mutation.

Methods

Patient selection

We conducted a prospective observational cohort study at Kitasato University Hospital between January 2017 and April 2018 to evaluate the efficacy and safety of osimertinib in patients with T790M‐positive advanced NSCLC who experienced disease progression after first‐line EGFR‐TKI therapy including gefitinib, erlotinib, and afatinib. The eligibility criterion of this study was histologically or cytologically confirmed NSCLC and stage IIIB/IV disease or recurrence according to the new Union for International Cancer Control criteria, version 8. We excluded patients who did not have at least one measurable lesion according to Response Evaluation Criteria in Solid Tumors (RECIST) version 1.1.23 Patient characteristics, including age at diagnosis, gender, Eastern Cooperative Oncology Group performance status (PS) at the start of the osimertinib treatment, smoking status, clinical stage, tumor histology, BSA, BMI, brain metastasis status, number of metastatic lesions, and number of previous chemotherapy regimens, were identified by chart review. Patients were classified according to smoking status as current smokers, former light smokers (having smoked a total of ≤ 10 pack‐years plus smoking cessation at least 15 years previously), and never smokers (a lifetime history of having smoked < 100 cigarettes). We used the following formula to calculate BSA: BSA (m2) = (body weight [kg])0.425 × (height [cm])0.725 × 0.007184. The BMI kg/m2 at the start of treatment was defined as the weight (kg) divided by the height (m) squared. All patients provided written informed consent. The Kitasato University Hospital institutional ethics review board approved the study. After obtaining written consent, the patients were treated with 80 mg of osimertinib per subject until disease progression or unacceptable adverse events occurred.

Analysis of EGFR mutations

A sample of the primary tumor, a metastatic lesion, or pleural effusion fluid was used as a specimen to test for EGFR mutation via the peptide nucleic acid‐locked nucleic acid PCR clamp method and the Cobas EGFR Mutation Test. Tumor biopsy cytology specimens, along with plasma specimens recovered by liquid biopsy, were tested for EGFR T790M status using the Cobas EGFR Mutation Test.

Response and toxicity assessment

After the initiation of osimertinib treatment, a computed tomography (CT) scan of the chest and abdomen was carried out every two to three months or at more frequent intervals. Positron emission tomography (PET) or bone scintigraphy and CT or magnetic resonance imaging (MRI) of the cranium were performed when patients exhibited significant symptoms associated with tumor lesions or at six‐month intervals. Response to treatment was re‐evaluated by two investigators according to RECIST 1.1.23 Medical records were reviewed to evaluate the toxicities experienced by all patients. Toxicities were graded according to the National Cancer Institute Common Toxicity Criteria version 4 grading system.

Statistical analysis

The Fisher's exact test was used to assess the distributions of categorical characteristics according to whether the patients’ BSA was ≥ 1.50 m2 (high‐BSA group) or < 1.50 m2 (low‐BSA group), as well as according to whether the patients’ BMI was ≥ 21.5 (high‐BMI group) or < 21.5 kg (low‐BMI group). The toxicities were also compared according to the median BSA and BMI by Fisher's exact test. PFS was measured from the start of gefitinib therapy to treatment failure (death, documentation of disease progression, or appearance of unacceptable toxicity) or the date the final follow‐up examination was censored. Overall survival (OS) was defined as the interval between the start of gefitinib therapy to death from any cause or the date of censoring. The survival curves were plotted using the Kaplan–Meier method and differences according to BSA and BMI were analyzed using the log‐rank test. Cox's proportional hazard models of variables including age, gender, smoking status, PS, stage, brain metastasis status, type of EGFR mutation, number of prior regimens, BSA, and BMI were used to predict the hazard rates for PFS. The differences in response rates according to BSA and BMI were compared by Fisher's exact test. P < 0.05 was used as the criterion for statistical significance. All statistical analyses were performed using SPSS version 17.0.

Results

Patient characteristics

A total of 47 NSCLC patients treated with osimertinib between May 2016 and April 2018 were included in the final analysis. The basic characteristics of the patients were: 66% female, median age 73 years, and 66% had a good PS (0 or 1) (Table 1). The patients suffered from adenocarcinoma (47 patients, 100%) and stage IV disease or postoperative recurrence (47 patients, 100%). The median BSA was 1.50 m2 (range: 1.16–1.79 m2) and the median BMI was 21.5 kg/m2 (range: 14.0–28.2 kg/m2). There were significantly higher percentages of men (87% vs. 35%, P < 0.001), non‐elderly (e.g. <75) patients (72% vs. 44%, P < 0.001), patients with good PS (62% vs. 34%, P = 0.03), smokers (79% vs. 42%, P = 0.024), and patients with L858R point mutation (66% vs. 29%, P = 0.015) in the high‐BSA (BSA ≥ 1.5 m2) group than in the low‐BSA (BSA < 1.5 m2) group (Table 2). Regarding the BMI, there were significantly higher percentages of patients with a good PS (62% vs. 27%, P = 0.01) and L858R point mutation (61% vs. 29%, P = 0.048) in the high‐BMI (BMI ≥ 21.5 kg/m2) group than in the low‐BMI (BMI < 21.5 kg/m2) group (Table 3).
Table 1

Patient characteristics

CharacteristicsN = 47 (%)
Age (years), median, range73 (42–91)
Gender
Male/Female16 (34)/31 (66)
Performance status
0–1/2–431 (66)/16 (34)
EGFR genotype
Exon 19 deletion/L858R30 (64)/17 (36)
Histology
Adenocarcinoma47 (100)
Stage
IV or recurrence6 (13)/41 (87)
Smoking status
Current smoker16 (34)
Never or former light smoker31 (66)
Type of EGFR‐TKI
Gefitinib/Erlotinib/Afatinib33 (70)/9 (19)/5 (11)
BSA (m2)
≥ 1.525 (53)
< 1.522 (47)
BMI (kg/m2)
≥ 21.524 (51)
< 21.523 (49)
Brain metastasis
Positive/Negative16 (34)/31 (66)
Number of metastatic lesions
118 (38)
≥ 229 (62)
Number of prior regimens (median, range)2 (1–6)
120 (42)
≥ 227 (58)

BMI, body mass index; BSA, body surface area; TKI, tyrosine kinase inhibitor.

Table 2

Patient characteristics in the high‐BSA (BSA ≥ 1.50 m2) group

N (%) P
CharacteristicsBSA < 1.5BSA ≥ 1.5
Gender< 0.001
Male2 (13)14 (87)
Female20 (65)11 (35)
Age (years)< 0.001
< 758 (28)21 (72)
≥ 7514 (78)4 (22)
Performance status0.03
0–112 (38)20 (62)
2–410 (67)5 (34)
Smoking status0.024
Current smoker3 (21)11 (79)
Never or former light smoker19 (58)14 (42)
Stage0.60
Postoperative recurrence3 (50)3 (50)
Stage IV19 (46)22 (54)
Brain metastasis0.39
Positive6 (38)10 (62)
Negative16 (52)15 (48)
EGFR genotype0.015
Exon 19 deletion10 (34)20 (66)
L858R12 (71)5 (29)
Prior regimens0.25
111 (55)9 (45)
≥ 211 (41)16 (59)

BSA, body surface area.

Table 3

Patient characteristics in the high‐BMI (BMI ≥ 21.5 kg/m2) group

N (%) P
CharacteristicsBMI < 21.5BMI ≥ 21.5
Gender0.21
Male6 (34)10 (66)
Female17 (55)14 (45)
Age (years)0.16
< 7512 (41)17 (59)
≥ 7511 (61)7 (39)
Performance status0.01
0–111 (38)20 (62)
2–412 (73)4 (27)
Smoking status0.59
Current smoker7 (50)7 (50)
Never or mild former light smoker16 (48)17 (52)
Stage0.65
Postoperative recurrence3 (50)3 (50)
Stage IV20 (48)21 (52)
Brain metastasis0.46
Positive9 (53)8 (47)
Negative14 (47)16 (53)
EGFR genotype0.048
Exon 19 deletion10 (33)20 (67)
L858R13 (76)4 (24)
Prior regimens0.57
010 (50)10 (50)
≥ 113 (48)14 (52)

BMI, body mass index.

Patient characteristics BMI, body mass index; BSA, body surface area; TKI, tyrosine kinase inhibitor. Patient characteristics in the high‐BSA (BSA ≥ 1.50 m2) group BSA, body surface area. Patient characteristics in the high‐BMI (BMI ≥ 21.5 kg/m2) group BMI, body mass index.

Response to osimertinib according to body surface area (BSA) and body mass index (BMI)

An objective response was obtained in 27 of the 47 patients, indicating an objective response rate (ORR) of 57.4% (95% confidence interval [CI] 43.3–71.5%) (Table 4). We used the median BSA and BMI values as the cutoff values to evaluate the impact of body size on the efficacy of osimertinib monotherapy. The response rate was 59.1% (95% CI 38.6–79.6%) in the low‐BSA group and 56% (95% CI 36.5–75.5%) in the high‐BSA group, indicating no statistically significant difference (P = 0.83). The response rate was 60.8% (95% CI 40.8–80.8%) in the low‐BMI group and 54.1% (95% CI 34.2–74.0%) in the high‐BMI group, also indicating no statistically significant difference (P = 0.64).
Table 4

Responses to osimertinib therapy

ResponseAll patients (n = 47) BSA < 1.5 (n = 22) BSA ≥ 1.5 (n = 25) BMI < 21.5 (n = 23) BMI ≥ 21.5 (n = 24)
Complete response00000
Partial response2713141413
Stable disease123939
Progressive disease75252
Not evaluable11010
Response rate57.4%59.1%56.0%60.8%54.1%
P = 0.83 P = 0.64

BMI, body mass index; BSA, body surface area.

Responses to osimertinib therapy BMI, body mass index; BSA, body surface area.

Toxicities

The most common non‐hematologic toxicities of any grade were diarrhea (18 patients, 38.3%), skin rash (15 patients, 31.9%), and fatigue (10 patients, 21.3%). Grade 3 diarrhea occurred in two patients. Regarding hematologic toxicities of any grade, thrombocytopenia (10 patients, 21.3%), anemia (7 patients, 14.9%) and leukopenia (6 patients, 12.8%) were observed. Grade 3 thrombocytopenia occurred in one patient. A comparison of toxicities in relation to BSA and BMI is shown in Tables 5 and 6, respectively. There were no significant differences in the frequencies of any of the toxicities relative to BSA or BMI.
Table 5

Toxicities in the low‐BSA (BSA < 1.50 m2) and high‐BSA (BSA ≥ 1.50 m2) groups

All grades≥ Grade 3
BSA ≥ 1.5BSA < 1.5BSA ≥ 1.5BSA < 1.5
ToxicityN (%)N (%) P N (%)N (%) P
Leukopenia5 (25%)1(4.5%)0.130 (0%)0 (0%)
Neutropenia2 (8%)1(4.5%)0.550 (0%)0 (0%)
Anemia4 (16%)3(13.6%)0.570 (0%)0 (0%)
Thrombocytopenia7 (28%)3(13.6%)0.201 (4.0%)0 (0%)0.54
Skin rash9 (36%)6(27.2%)0.370 (0%)0 (0%)
Liver dysfunction3 (12%)1(4.5%)0.350 (0%)0 (0%)
Diarrhea9 (36%)9(40.9%)0.480(0%)2 (9.1%)0.21
Nausea3 (12%)3(13.6%)0.790 (0%)0 (0%)
Anorexia3 (12%)4(18.2%)0.430 (0%)1 (4.5%)0.95
Constipation2 (8%)1(4.5%)0.550 (0%)0 (0%)
Paronychia1 (4%)4(18.2%)0.140 (0%)0 (0%)
Fatigue8 (32%)2(9.1%)0.070 (0%)0 (0%)
Dry skin1 (4%)1(4.5%)0.530 (0%)0 (0%)
Mucositis oral3 (12%)1(4.5%)0.350 (0%)0 (0%)
Neuropathy0 (0%)1(4.5%)0.950 (0%)0 (0%)
Conjunctivitis1 (4%)2(9.1%)0.450 (0%)0 (0%)
Pneumonitis3 (12%)2(9.1%)0.560 (0%)0 (0%)
Ileus0 (0%)1(4.5%)0.950 (0%)0 (0%)
Edema0 (0%)1 (4.5%)0.950 (0%)0 (0%)
Cellulitis0 (0%)1 (4.5%)0.950 (0%)0 (0%)
Renal dysfunction3 (12.0%)0 (0%)0.280 (0%)0 (0%)
Fever1 (4.0%)0 (0%)0.540 (0%)0 (0%)

BSA, body surface area.

Table 6

Toxicities in the low‐BMI (BMI < 21.5 kg/m2) and high‐BMI groups (BMI ≥ 21.5 kg/m2)

All grades≥ Grade 3
BMI ≥ 21.5BMI < 21.5BMI ≥ 21.5BMI < 21.5
VariableN (%)N (%) P N (%)N (%) P
Leukopenia5 (20.8%)1 (4.3%)0.100 (0%)0 (0%)
Neutropenia2 (8.3%)1 (4.3%)0.520 (0%)0 (0%)
Anemia3 (12.5%)4 (17.4%)0.480 (0%)0 (0%)
Thrombocytopenia6 (25.0%)4 (17.4%)0.391 (4.2%)0 (0%)0.51
Skin rash10(41.2%)5 (21.7%)0.120 (0%)0 (0%)
Liver dysfunction3 (12.5%)1 (4.3%)0.320 (0%)0 (0%)
Diarrhea10(41.2%)8 (34.8%)0.430 (0%)2 (8.7%)0.23
Nausea2 (8.3%)4 (17.4%)0.310 (0%)0 (0%)
Anorexia2 (8.3%)5 (21.7%)0.190 (0%)1 (4.3%)0.49
Constipation1 (4.2%)2 (8.7%)0.480 (0%)0 (0%)
Paronychia4 (16.7%)1 (4.3%)0.520 (0%)0 (0%)
Fatigue6 (25.0%)4 (17.4%)0.390 (0%)0 (0%)
Dry skin1 (4.2%)1 (4.3%)0.740 (0%)0 (0%)
Mucositis oral3 (12.5%)1 (4.3%)0.320 (0%)0 (0%)
Neuropathy1 (4.2%)0 (0%)0.510 (0%)0 (0%)
Conjunctivitis1 (4.2%)2 (8.7%)0.480 (0%)0 (0%)
Pneumonitis2 (8.3%)3 (13.0%)0.480 (0%)0 (0%)
Ileus0 (0%)1 (4.3%)0.490 (0%)0 (0%)
Edema0 (0%)1 (4.3%)0.490 (0%)0 (0%)
Cellulitis0 (0%)1 (4.3%)0.490 (0%)0 (0%)
Renal dysfunction3 (12.5%)0 (0%)0.120 (0%)0 (0%)
Fever1 (4.3%)1 (4.3%)0.740 (0%)0 (0%)

BMI, body mass index.

Toxicities in the low‐BSA (BSA < 1.50 m2) and high‐BSA (BSA ≥ 1.50 m2) groups BSA, body surface area. Toxicities in the low‐BMI (BMI < 21.5 kg/m2) and high‐BMI groups (BMI ≥ 21.5 kg/m2) BMI, body mass index.

Survival

The cutoff date of the survival data update was the end of November 2018. The median follow‐up period at the time of survival analysis was 10.6 months. The median PFS and survival of the entire patient population was 7.6 (95% CI 6.4–8.8) and 14.7 (95% CI 9.1–20.5) months, respectively (Fig 1). The median PFS rates in the low‐BSA and high‐BSA groups were 9.1 (95% CI 3.7–14.5) and 7.6 (95% CI 6.7–8.5) months, respectively, indicating statistically non‐significant differences (P = 0.69) (Fig 2a). The median PFS rates in the low‐BMI and high‐BMI groups were 7.6 (95% CI 2.0–13.2) and 7.6 (95% CI 6.6–8.6) months, respectively, indicating statistically non‐significant differences (P = 0.38) (Fig 2b). Univariate analysis identified PS, brain metastasis status, and the number of prior regimens as significantly predictive of PFS, while multivariate analysis identified patient age, PS, and EGFR genotype as independent predictors of PFS (Table 7). We evaluated 1.40 and 1.60 m2 as alternative BSA cutoff values in the univariate analysis, but none of the differences in PFS were significant (BSA < 1.40 m2: hazard ratio [HR] 0.83, P = 0.58; BSA < 1.60 m2: HR 0.076, P = 0.43). We also evaluated 20.0 and 23.0 kg/m2 as alternative BMI cutoff values in the univariate analysis and did not observe any significant differences in PFS (BMI < 20 kg/m2: HR 0.84, P = 0.63; BMI < 23 kg/m2: HR 1.13, P = 0.71). In patients with good PS scores, the median PFS values in the low‐BSA and high‐BSA groups were 10.2 (95% CI 1.9–18.5) and 7.8 (95% CI 6.1–9.5) months, respectively, without any significant differences (P = 0.64). The median PFS rates in the low‐BMI and high‐BMI groups were 10.2 (95% CI 0.1–22.9) and 7.8 (95% CI 6.3–9.3) months, respectively, indicating statistically non‐significant differences (P = 0.63) (Fig 3).
Figure 1

Kaplan–Meier plots of (a) progression‐free survival (PFS) and (b) overall survival (OS). CI, confidence interval.

Figure 2

Kaplan–Meier plots of progression free survival (PFS) in relation to body size: (a) body surface area (BSA) () BSA < 1.5, and () BSA ≥ 1.5; and (b) body mass index (BMI) () BMI < 21.5, and () BMI ≥ 21.5. CI, confidence interval.

Table 7

Cox regression analysis of PFS

PFSUnivariate analysisMultivariate analysis
VariableHazard ratio (95% CI) P Hazard ratio (95% CI) P
Gender Male vs. Female 0.95 (0.47–1.88)0.87
Age (years), median, range < 75 vs. ≥ 750.59 (0.29–1.17)0.130.33 (0.15–0.72)0.005
Performance status 0–1 vs. 2–32.09 (1.01–4.30)0.0462.49 (1.14–5.43)0.022
EGFR genotype1.88 (0.95–3.72)0.072.83 (1.32–6.06)0.007
Exon 19 deletion
L858R point mutation
Smoking status1.24 (0.62–2.48)0.54
Current smoker
Never or former light smoker
Stage1.66 (0.64–4.33)0.30
Postoperative recurrence
Stage IV
Brain metastasis2.06 (1.05–4.05)0.036Excluded
Positive vs. Negative
Number of prior regimens2.03 (1.03–4.00)0.041Excluded
0 vs. ≥ 1
BSA0.88 (0.45–1.70)0.70
< 1.51 vs. ≥ 1.51
BMI0.75 (0.39–1.45)0.39
< 21.5 vs. ≥ 21.5

BMI, body mass index; BSA, body surface area; CI, confidence interval; PFS, progression‐free survival.

Figure 3

Kaplan–Meier plots of progression free survival (PFS) in relation to body size of patients with good performance status: (a) body surface area (BSA) () BSA < 1.5, and () BSA ≥ 1.5; and (b) body mass index (BMI) () BMI < 21.5, and () BMI ≥ 21.5. CI, confidence interval.

Kaplan–Meier plots of (a) progression‐free survival (PFS) and (b) overall survival (OS). CI, confidence interval. Kaplan–Meier plots of progression free survival (PFS) in relation to body size: (a) body surface area (BSA) () BSA < 1.5, and () BSA ≥ 1.5; and (b) body mass index (BMI) () BMI < 21.5, and () BMI ≥ 21.5. CI, confidence interval. Cox regression analysis of PFS BMI, body mass index; BSA, body surface area; CI, confidence interval; PFS, progression‐free survival. Kaplan–Meier plots of progression free survival (PFS) in relation to body size of patients with good performance status: (a) body surface area (BSA) () BSA < 1.5, and () BSA ≥ 1.5; and (b) body mass index (BMI) () BMI < 21.5, and () BMI ≥ 21.5. CI, confidence interval.

Discussion

In approximately 60% of patients, the mechanism of acquired resistance is the development of an additional EGFR mutation, T790M.13 While osimertinib treatment is recognized as the standard‐of‐care for patients harboring the T790M resistance mutation who progress on first‐line EGFR‐TKIs, the standard dose of osimertinib is 80 mg/day, a uniform dosage regardless of patients’ body size. The results of this prospective observational study show that BSA and BMI have no statistically significant effect on the clinical outcomes of osimertinib monotherapy, including the response rate and PFS, in patients with T790M‐positive advanced NSCLC who experience disease progression after first‐line EGFR‐TKI therapy. To our knowledge, this is the first report to evaluate the relationship between osimertinib treatment and body size in this type of patient. The degree of toxicities, including diarrhea, thrombocytopenia, and skin, was also assessed. The toxicity profiles did not vary significantly among the patients in relation to the BSA or BMI. Because the results for the categorical variables indicated a significantly higher proportion of patients with good PS in the high‐BSA and high‐BMI groups than in the low‐BSA and low‐BMI groups, it is reasonable to ascribe this significant difference to the body weight loss caused by disease progression. Moreover, re‐evaluation of the PFS results in patients with good PS did not indicate any statistically significant differences in the median PFS relative to BSA or BMI. In addition, we also changed the cutoff values of BSA and BMI but failed to detect any statistically significant differences in PFS. A previous phase III (AURA III study) showed an ORR to osimertinib of 71% (95% CI 65–76) in patients with T790M‐positive advanced NSCLC who experienced disease progression after first‐line EGFR‐TKI therapy,22 which is higher than the 57.4% ORR observed in our study. The number of patients in our study with poor PS and the number of chemotherapy regimens prior to osimertinib therapy per patient were 16 (34%) and 2, respectively. However, in the AURA III study, all patients had good PS and 96% had received only one prior regimen, explaining the differences in ORR and PFS of osimertinib therapy between our study and the AURA III trial. We previously found that the efficacy of gefitinib in patients with NSCLC harboring an EGFR mutation did not differ in relation to their BSA.24 Similarly, Imai et al. reported that gefitinib efficacy in patients with NSCLC harboring sensitive EGFR mutations did not differ relative to BSA, body weight, and BMI.25 Another study showed that the efficacy of gefitinib in NSCLC patients did not significantly differ between doses of 250 or 500 mg/day.26, 27 According to results of these studies, although most cytotoxic anticancer agent regimens are based on BSA‐adjusted doses, we conclude that the dosage of gefitinib could not be adjusted based on a body size variable, such as BSA. Furthermore, a Phase I/II AURA trial was conducted to determine the safety and efficacy of osimertinib in patients with advanced NSCLC who experienced disease progression after previous treatment with EGFR‐TKIs.21 Among the patients with the T790M mutation, osimertinib had ORRs of 83%, 79%, and 77% at daily doses of 80, 160, and 240 mg, respectively. Thus, it is reasonable to conclude that the tumor responses of osimertinib therapy were not dose‐dependent, and the observations of our study appear to support the lack of a correlation between tumor response and osimertinib dose. There were several limitations to our study. Firstly, the sample size may not have been sufficient. Secondly, there was no pharmacokinetic validation accompanying the observations on the efficacy of osimertinib in relation to BSA and BMI. In conclusion, the efficacy of osimertinib in patients with T790M‐positive advanced NSCLC who experienced disease progression after prior EGFR‐TKI therapy did not significantly vary relative to BSA or BMI. Based on our findings, we propose that the next step in the development of effective osimertinib regimens could be a study examining the relationship between body size variables and the efficacy of osimertinib monotherapy in the first‐line setting for NSCLC patients with sensitive EGFR mutations.

Disclosure

No authors report any conflict of interest.
  27 in total

1.  First-SIGNAL: first-line single-agent iressa versus gemcitabine and cisplatin trial in never-smokers with adenocarcinoma of the lung.

Authors:  Ji-Youn Han; Keunchil Park; Sang-We Kim; Dae Ho Lee; Hyae Young Kim; Heung Tae Kim; Myung Ju Ahn; Tak Yun; Jin Seok Ahn; Cheolwon Suh; Jung-Shin Lee; Sung Jin Yoon; Jong Hee Han; Jae Won Lee; Sook Jung Jo; Jin Soo Lee
Journal:  J Clin Oncol       Date:  2012-02-27       Impact factor: 44.544

Review 2.  Cancer treatment and survivorship statistics, 2012.

Authors:  Rebecca Siegel; Carol DeSantis; Katherine Virgo; Kevin Stein; Angela Mariotto; Tenbroeck Smith; Dexter Cooper; Ted Gansler; Catherine Lerro; Stacey Fedewa; Chunchieh Lin; Corinne Leach; Rachel Spillers Cannady; Hyunsoon Cho; Steve Scoppa; Mark Hachey; Rebecca Kirch; Ahmedin Jemal; Elizabeth Ward
Journal:  CA Cancer J Clin       Date:  2012-06-14       Impact factor: 508.702

3.  Afatinib versus gefitinib as first-line treatment of patients with EGFR mutation-positive non-small-cell lung cancer (LUX-Lung 7): a phase 2B, open-label, randomised controlled trial.

Authors:  Keunchil Park; Eng-Huat Tan; Ken O'Byrne; Li Zhang; Michael Boyer; Tony Mok; Vera Hirsh; James Chih-Hsin Yang; Ki Hyeong Lee; Shun Lu; Yuankai Shi; Sang-We Kim; Janessa Laskin; Dong-Wan Kim; Catherine Dubos Arvis; Karl Kölbeck; Scott A Laurie; Chun-Ming Tsai; Mehdi Shahidi; Miyoung Kim; Dan Massey; Victoria Zazulina; Luis Paz-Ares
Journal:  Lancet Oncol       Date:  2016-04-12       Impact factor: 41.316

4.  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.

Authors:  Tetsuya Mitsudomi; Satoshi Morita; Yasushi Yatabe; Shunichi Negoro; Isamu Okamoto; Junji Tsurutani; Takashi Seto; Miyako Satouchi; Hirohito Tada; Tomonori Hirashima; Kazuhiro Asami; Nobuyuki Katakami; Minoru Takada; Hiroshige Yoshioka; Kazuhiko Shibata; Shinzoh Kudoh; Eiji Shimizu; Hiroshi Saito; Shinichi Toyooka; Kazuhiko Nakagawa; Masahiro Fukuoka
Journal:  Lancet Oncol       Date:  2009-12-18       Impact factor: 41.316

5.  Dacomitinib as first-line treatment in patients with clinically or molecularly selected advanced non-small-cell lung cancer: a multicentre, open-label, phase 2 trial.

Authors:  Pasi A Jänne; Sai-Hong I Ou; Dong-Wan Kim; Geoffrey R Oxnard; Renato Martins; Mark G Kris; Frank Dunphy; Makoto Nishio; Joseph O'Connell; Cloud Paweletz; Ian Taylor; Hui Zhang; Zelanna Goldberg; Tony Mok
Journal:  Lancet Oncol       Date:  2014-11-05       Impact factor: 41.316

6.  Phase III study of afatinib or cisplatin plus pemetrexed in patients with metastatic lung adenocarcinoma with EGFR mutations.

Authors:  Lecia V Sequist; James Chih-Hsin Yang; Nobuyuki Yamamoto; Kenneth O'Byrne; Vera Hirsh; Tony Mok; Sarayut Lucien Geater; Sergey Orlov; Chun-Ming Tsai; Michael Boyer; Wu-Chou Su; Jaafar Bennouna; Terufumi Kato; Vera Gorbunova; Ki Hyeong Lee; Riyaz Shah; Dan Massey; Victoria Zazulina; Mehdi Shahidi; Martin Schuler
Journal:  J Clin Oncol       Date:  2013-07-01       Impact factor: 44.544

7.  Characterization of the efficacies of osimertinib and nazartinib against cells expressing clinically relevant epidermal growth factor receptor mutations.

Authors:  Keita Masuzawa; Hiroyuki Yasuda; Junko Hamamoto; Shigenari Nukaga; Toshiyuki Hirano; Ichiro Kawada; Katsuhiko Naoki; Kenzo Soejima; Tomoko Betsuyaku
Journal:  Oncotarget       Date:  2017-11-06

8.  Evaluation of gefitinib efficacy according to body mass index, body surface area, and body weight in patients with EGFR-mutated advanced non-small cell lung cancer.

Authors:  Hisao Imai; Tomohito Kuwako; Kyoichi Kaira; Tomomi Masuda; Yosuke Miura; Kaori Seki; Reiko Sakurai; Mitsuyoshi Utsugi; Kimihiro Shimizu; Noriaki Sunaga; Yoshio Tomizawa; Shinichi Ishihara; Takao Ishizuka; Akira Mogi; Takeshi Hisada; Koichi Minato; Atsushi Takise; Ryusei Saito; Masanobu Yamada
Journal:  Cancer Chemother Pharmacol       Date:  2017-02-06       Impact factor: 3.333

9.  Comparative effectiveness of concurrent chemoradiotherapy versus EGFR-tyrosine kinase inhibitors for the treatment of clinical stage IIIb lung adenocarcinoma patients with mutant EGFR.

Authors:  Te-Chun Hsia; Ji-An Liang; Chia-Chin Li; Chun-Ru Chien
Journal:  Thorac Cancer       Date:  2018-08-27       Impact factor: 3.500

10.  AZD9291, an irreversible EGFR TKI, overcomes T790M-mediated resistance to EGFR inhibitors in lung cancer.

Authors:  Darren A E Cross; Susan E Ashton; Serban Ghiorghiu; Cath Eberlein; Caroline A Nebhan; Paula J Spitzler; Jonathon P Orme; M Raymond V Finlay; Richard A Ward; Martine J Mellor; Gareth Hughes; Amar Rahi; Vivien N Jacobs; Monica Red Brewer; Eiki Ichihara; Jing Sun; Hailing Jin; Peter Ballard; Katherine Al-Kadhimi; Rachel Rowlinson; Teresa Klinowska; Graham H P Richmond; Mireille Cantarini; Dong-Wan Kim; Malcolm R Ranson; William Pao
Journal:  Cancer Discov       Date:  2014-06-03       Impact factor: 39.397

View more
  6 in total

1.  A comprehensive prognostic analysis of osimertinib treatment in advanced non-small cell lung cancer patients with acquired EGFR-T790M mutation: a real-world study.

Authors:  Xin Tang; Yuan Li; Wen-Lei Qian; Wei-Feng Yan; Tong Pang; You-Ling Gong; Zhi-Gang Yang
Journal:  J Cancer Res Clin Oncol       Date:  2021-09-18       Impact factor: 4.322

2.  Low Body Mass Index Is an Independent Prognostic Factor in Patients With Non-Small Cell Lung Cancer Treated With Epidermal Growth Factor Receptor Tyrosine Kinase Inhibitor.

Authors:  Seigo Minami; Shouichi Ihara; Kanako Nishimatsu; Kiyoshi Komuta
Journal:  World J Oncol       Date:  2019-12-16

3.  Machine Learning-Based CT Radiomics Analysis for Prognostic Prediction in Metastatic Non-Small Cell Lung Cancer Patients With EGFR-T790M Mutation Receiving Third-Generation EGFR-TKI Osimertinib Treatment.

Authors:  Xin Tang; Yuan Li; Wei-Feng Yan; Wen-Lei Qian; Tong Pang; You-Ling Gong; Zhi-Gang Yang
Journal:  Front Oncol       Date:  2021-09-29       Impact factor: 6.244

4.  Can CT Radiomics Detect Acquired T790M Mutation and Predict Prognosis in Advanced Lung Adenocarcinoma With Progression After First- or Second-Generation EGFR TKIs?

Authors:  Xiaohuang Yang; Chao Fang; Congrui Li; Min Gong; Xiaochun Yi; Huashan Lin; Kunyan Li; Xiaoping Yu
Journal:  Front Oncol       Date:  2022-07-06       Impact factor: 5.738

5.  The efficacy and safety of osimertinib in treating nonsmall cell lung cancer: A PRISMA-compliant systematic review and meta-analysis.

Authors:  Jing Liu; Xuemei Li; Yinghong Shao; Xiyun Guo; Jinggui He
Journal:  Medicine (Baltimore)       Date:  2020-08-21       Impact factor: 1.817

Review 6.  Obesity, Sarcopenia, and Outcomes in Non-Small Cell Lung Cancer Patients Treated With Immune Checkpoint Inhibitors and Tyrosine Kinase Inhibitors.

Authors:  Karam Khaddour; Sandra L Gomez-Perez; Nikita Jain; Jyoti D Patel; Yanis Boumber
Journal:  Front Oncol       Date:  2020-10-20       Impact factor: 5.738

  6 in total

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