Lung cancer is the most common cancer diagnosed worldwide, and approximately 85% of cases represent non-small-cell lung cancer (NSCLC).1 Since lung cancer in the early stages is generally asymptomatic, almost two-thirds of patients are diagnosed in advanced stages.2,3 While patients with localized or locally advanced lung cancer have approximately 50% and 30% chance of five-year survival4, advanced lung cancer is still incurable. Despite the rise in survival rates lately, five-year relative survival of patients with advanced lung carcinoma remains poor.4
Advances in recent survival rates are attributable to the discovery of potential targets such as mutations in the epidermal growth factor receptor (EGFR) or rearrangements in the anaplastic lymphoma kinase (ALK) gene and consecutive development of targeted therapies with monoclonal antibodies (mAb) and tyrosine kinase inhibitors (TKI).5,6 However, although targeted therapies offer high objective response rates and improved progression-free survival (PFS), eventually acquired resistance develops, leading to disease progression.7 To overcome the resistance mechanisms new molecular alterations in different other co-activated pathways are extensively sought.
The insulin-like growth factor 1 receptor (IGF1R) signalling pathway has been shown to promote oncogenic transformation and cancer cell growth and survival8,9 and has been associated with resistance to specific oncologic therapies in various human cancers10-12, including EGFR-TKI13,14 and ALK-TKI15 in NSCLC. With various lines of evidence supporting IGF1R signalling pathway as a potential target for cancer therapy, different anti-IGF1R mAbs and small-molecule TKIs were developed and entered clinical trials. However, despite the encouraging preclinical data, all the trials performed so far failed to confirm a meaningful clinical response in NSCLC patients treated with IGF1R inhibitors, although such results can be attributed to unselected patients, lack of predictive biomarkers and compensatory signalling through other growth factor pathways.16
IGF1R is a transmembrane heterotetrameric protein with tyrosine kinase activity. Binding of IGF1 and IGF2 activates the IGF1R, triggering a series of reactions via the PI3K-AKT and RAS/RAF/ mitogen-activated protein kinase signalling pathways, enhancing cancer cell growth, survival and metastasizing.
IGF1R and its signalling pathway were extensively studied in various human cancers. In hormone-receptor positive breast cancer (luminal A, luminal B) positive IGF1R expression is associated with better prognosis17,18, while in triple negative breast cancer it negatively affects survival.17,19 Similarly, IGF1R overexpression in laryngeal20, cervical21, pancreatic22, gastric23, renal24 and urothelial carcinoma25 is linked to worse survival rates, whereas the influence of IGF1R overexpression on survival in colorectal and endometrial carcinoma remains unconfirmed.26-29
IGF1R expression was also addressed as a potential prognostic marker in NSCLC in various studies.14,30-47 Most of the studies involved patients with resected lung cancer and only four among them were performed in advanced NSCLC.12,32,42,44 Cappuzzo
Moreover, optimal evaluation of IGF1R expression remains unconfirmed. In most of the published studies in NSCLC IGF1R protein expression was measured by immunohistochemistry, while some also evaluated
There are epidemiological data supporting the biological link between cancer and type 2 diabetes mellitus (T2DM) and the well-known fact that patients with T2DM have an increased risk of cancer and cancer-related mortality.49 In a recently published study, a higher IGF1R expression - according to the previously mentioned meta-analysis a detrimental prognostic factor in operable NSCLC - was found in early stage NSCLC patients with preexisting T2DM, suggesting a possible role of IGF1R signalling pathway in the development and growth of NSCLC.50 Type 2 diabetes mellitus is characterized by insulin resistance and resultant chronic hyperinsulinemia, which enhances growth hormone receptor expression in the liver, increases IGF1 production and availability, thus leading to the IGF1R signalling pathway activation.51,52 Several meta-analyses and studies have been published in the recent years, confirming diabetes mellitus as a negative prognostic factor for breast, colorectal, gastric, pancreatic, liver, prostate, renal and cervical cancer survival.53-60 Studies addressing the prognostic role of T2DM in NSCLC patients have been contradictory.61-63 However, the recently published meta-analysis confirmed a significant association between T2DM and worse prognosis in NSCLC patients, especially in surgically treated patients.64 There are also data showing that the use of metformin, one of the most commonly prescribed drugs for diabetes mellitus, improves the generally bad prognosis of cancer patients with concomitant T2DM. In a large meta-analysis, the use of metformin was associated with a significant improvement in overall survival and cancer-specific survival of cancer patients.65
The purpose of this study was to evaluate IGF1R expression in advanced NSCLC and its impact on OS. Furthermore, we evaluated the influence of T2DM on OS and IGF1R expression in advanced NSCLC.
Our study was performed following the Recommendations for Tumour Marker Prognostic Studies (REMARK).66
In the present study 167 consecutive patients, with patohistologically confirmed advanced NSCLC stage IIIB (20 patients) and IV (147 patients), treated with at least one line of cytotoxic therapy at the University Clinic Golnik, Slovenia, between 2005 and 2010, and with available tissue for immunohistochemical analysis, were included. All patients were treated and followed according to the standard clinical practices at the time. All patients received at least one systemic treatment, that comprised of platinum doublets in a vast majority of them (165/167 patients; 98.8%), only two patients (1.2%) received gemcitabine monotherapy. The median follow-up time was 9.79 months (range 0.20–72.34 months).
Information on baseline demographics and clinicopathological characteristics of the patients were obtained from our hospital registry system, whilst date of death was obtained from the National Cancer Registry.
The study was reviewed and approved by the National Ethics Committee (No. 135/07/09).
Formalin-fixed, paraffin-embedded tissue sections containing preserved tumour tissue from primary tumour obtained at diagnosis were used for immunohistochemical analysis.
Tissue sections 4-μm thick were deparaffinized in xylene and rehydrated in a graded series ethanol. After standard antigen retrieval with Cell Conditioning 1 (CC1) buffer solution (Ventana Medical Systems, Tucson, Arizona, USA), staining with pre-diluted rabbit monoclonal antibody against human IGFR-1 (Ventana G11; CONFIRM, Ventana Medical Systems, Tucson, Arizona, USA; ready-to-use concentration 1.7 μg/mL) was performed on Ventana BenchMark XT autostainer with a 16 minutes primary antibody incubation time at 37°C. Binding detection of the primary antibody was performed utilizing the
Immunohistochemical (IHC) staining of the invasive cancer components was independently evaluated on at least 2 × 2 mm cores per patient by two observers (MH, GV), blinded to all patient data. Discrepant cases were reviewed by a third observer (IK). Cell membrane and cytoplasm staining was scored on a scale of 0 (no staining), 1+ (weak staining), 2+ (moderate staining), and 3+ (strongly positive staining). Since there are no validated and standardized cut-off values for IGF1R-IHC positivity, membrane staining equal or above 1+ in at least 1% of tumour cells was considered positive.
Associations of IGF1R expression with patient clinical characteristics were compared by chi-square test. OS (time in months from diagnosis date to patient death) was evaluated using Kaplan-Meier method and hazard ratio was calculated by using the Cox proportional hazards regression model. OS for the subgroups was compared using the log-rank test.
Statistical analysis was performed using IBM SPSS ver. 19.0 (SPSS Inc., Chicago, IL, USA). A
A total of 167 patients were included in this study. Baseline demographics and clinicopathological characteristics are summarized in Table 1. At the time of diagnosis, median age was 63 years (range 40–82 years), 37.1% of cases were squamous-cell carcinoma (SCC; 62/167 patients) and 62.9% were non-squamous-cell (NSCC; 105/167 patients) histology. The majority of patients were males (119/167; 71.3%), smokers or former smokers (145/167; 86.8%) and had an estimated Eastern Cooperative Oncology Group (ECOG) performance status of 0–1 (152/167; 91.0%). Pre-existing T2DM was present in 18 (10.8%) of patients; 8 out of 18 were receiving metformin, while the rest of them were treated with other oral antidiabetic medications or insulin.
Patient and tumour characteristics
Variable | No (%) |
---|---|
All patients | 167 (100%) |
- NSCC | 105 (62.9%) |
- SCC | 62 (37.1%) |
- Male | 119 (71.3%) |
- Female | 48 (28.7%) |
- Current/former smoker | 145 (86.8%) |
- Never smoker | 22 (13.2%) |
- 0-1 | 152 (91.0%) |
- ≥ 2 | 15 (9.0%) |
- No | 149 (89.2%) |
- Yes | 18 (10.8%) |
- Positive | 133 (79.6%) |
- Negative | 34 (20.4%) |
ECOG-PS = Eastern Cooperative Oncology Group performance status; IGF1R = insulin-like growth factor-1 receptor; NSCC = non-squamous cell carcinoma; SCC = squamous cell carcinoma
IGF1R expression was found in 133/167 (79.6%) of tumour samples. IGF1R positivity was significantly more frequent in SCC (88.7%) compared to NSCC (74.3%) (
Representative immunohistochemical staining of insulin-like growth factor 1 receptor in a squamous-cell carcinoma sample.

Representative immunohistochemical staining of insulin-like growth factor 1 receptor in a squamous-cell carcinoma sample.
IHC IGF1R expression by histological/clinical characteristics and diabetes mellitus
Variable | IGF1R positive No (%) | IGF1R negative No (%) | |
---|---|---|---|
All patients | 133 (79.6%) | 34 (20.4%) | |
- NSCC | 78 (74.3%) | 27 (25.7%) | |
- SCC | 55 (88.7%) | 7 (11.3%) | |
0.17 | |||
- Male | 98 (82.4%) | 21 (17.6%) | |
- Female | 35 (72.9%) | 13 (27.1%) | |
0.77 | |||
- Current/former smoker | 116 (80.0%) | 29 (20.0%) | |
- Never smoker | 17 (77.3%) | 5 (22.7%) | |
0.97 | |||
- 0–1 | 121 (79.6%) | 31 (20.4%) | |
- ≥ 2 | 12 (80.0%) | 3 (20.0%) | |
0.84 | |||
- No | 119 (79.9%) | 30 (20.1%) | |
- Yes | 14 (77.8%) | 4 (22.2%) |
ECOG-PS = Eastern Cooperative Oncology Group performance status; IGF1R = insulin-like growth factor-1 receptor; NSCC = non-squamous cell carcinoma; SCC = squamous cell carcinoma
Median OS was similar between IGF1R positive and IGF1R negative group (10.2 versus 8.5 months,
Median overall survival based on insulin-like growth factor 1 receptor (IGF1R) expression.

Median overall survival based on insulin-like growth factor 1 receptor (IGF1R) expression.
Median overall survival based on type 2 diabetes mellitus (T2DM) status.

Median overall survival based on type 2 diabetes mellitus (T2DM) status.
Neither IGF1R expression nor T2DM were significant predictors of overall survival in the univariate and multivariate analysis. Regarding the other characteristics included in the analysis, no significant differences in survival were observed based on histology, whereas sex, smoking status and performance status were borderline significant in the univariate analysis, but in multivariate analysis only performance status remained borderline significant (
Univariate and multivariate analysis of overall survival
Variable | Univariate Analysis | Multivariate Analysis | ||||
---|---|---|---|---|---|---|
HR | 95%CI | HR | 95%CI | |||
SCC vs NSCC | 1.097 | 0.798–1.509 | 0.569 | 1.249 | 0.885–1.763 | 0.206 |
Male vs female | 1.396 | 0.994–1.961 | 0.054 | 1.390 | 0.939–2.057 | 0.100 |
Current/former smoker vs. non-smoker | 1.692 | 1.064–2.689 | 1.509 | 0.908–2.510 | 0.113 | |
0.1 vs ≥ 2 | 0.600 | 0.351–1.025 | 0.061 | 0.589 | 0.341–1.015 | 0.057 |
Yes vs No | 0.869 | 0.531–1.423 | 0.576 | 0.828 | 0.498–1.378 | 0.468 |
Positive vs negative | 0.766 | 0.523–1.121 | 0.170 | 0.776 | 0.518–1.162 | 0.219 |
ECOG-PS = Eastern Cooperative Oncology Group performance status; IGF1R = insulin-like growth factor-1 receptor; NSCC = non-squamous cell carcinoma; SCC = squamous cell carcinoma
In the present study, we aimed to assess the prognostic impact of IGF1R expression in 167 advanced NSCLC patients treated with at least one line of chemotherapy, and to evaluate the impact of T2DM on IGF1R expression, as well as its prognostic role. Neither IGF1R expression nor T2DM status were found to be independent predictors of OS in advanced NSCLC in the multivariate analysis of survival. In addition, no association between T2DM status and IGF1R expression was found. However, a significantly higher expression of IGF1R in SCC compared to NSCC histology was observed.
Interestingly, a significant association between positive IGF1R expression and SCC histology was observed in our study (
No significant associations were noted between IGF1R expression and sex, smoking status and performance status in our study. Similarly, other published studies in advanced NSCLC did not report an association between IGF1R expression and the aforementioned prognostic factors14,34,44, with the exception of the study by Kim
Although the OS of IGF1R positive patients with advanced NSCLC was longer than OS to IGF1R negative counterparts (10.2
Despite the increasing evidence that T2DM negatively affects cancer prognosis49,53-61,63,64, we could not prove a significant influence of T2DM on advanced NSCLC survival. Besides a relatively small proportion of patients with T2DM in our study (N = 18; 10.8%), another confounding factor might be the fact, that almost half of our patients with T2DM were treated with metformin, known to improve cancer prognosis.65 Furthermore, IGF1R was not overexpressed in T2DM patients, compared to non-T2DM patients, opposing findings of Ding
In the present study, IGF1R expression was determined by immunohistochemistry, with an arbitrarily predefined cut-off value of ≥ 1+. To emphasise, there are no validated scoring systems or cut-off values for IGF1R expression available, and in the published studies different thresholds were used, resulting in great differences in the percentage of positive samples (range 12.7% to 78.0%).14,30-45 Moreover, Dziadziuszko
The major limitation of our study is the retrospective design and a relatively small number of advanced NSCLC patients included, especially patients with T2DM, affecting statistical power of survival analysis and accuracy of the findings. In addition, no validated scoring system for immunohistochemical IGF1R expression and an arbitrarily defined cut-off value for IGF1R positivity may be another source of bias. Unfortunately, in all of the studies addressing the prognostic role of IGF1R expression in advanced NSCLC the same limitations arise.14,34,44,46 Furthermore, tissue samples retrieved in NSCLC are often scanty, with small biopsies failing to show any intra-tumoural biomarker heterogeneity.
In conclusion, we did not confirm a prognostic value of IGF1R overexpression or T2DM in advanced NSCLC patients, treated with at least one line of chemotherapy. In spite of those negative findings in relation to IGF1R overexpression, we have shown a significant association between IGF1R and SCC, indicating a possible oncogenic role of IGF1R in SCC that deserves a further research. Yet, based on a small number of patients in our study, further prospective studies on IGF1R expression and its prognostic as well as therapeutic consequences in a larger collective of advanced NSCLC patients, with or without T2DM, are needed.



IHC IGF1R expression by histological/clinical characteristics and diabetes mellitus
Variable | IGF1R positive No (%) | IGF1R negative No (%) | |
---|---|---|---|
All patients | 133 (79.6%) | 34 (20.4%) | |
- NSCC | 78 (74.3%) | 27 (25.7%) | |
- SCC | 55 (88.7%) | 7 (11.3%) | |
0.17 | |||
- Male | 98 (82.4%) | 21 (17.6%) | |
- Female | 35 (72.9%) | 13 (27.1%) | |
0.77 | |||
- Current/former smoker | 116 (80.0%) | 29 (20.0%) | |
- Never smoker | 17 (77.3%) | 5 (22.7%) | |
0.97 | |||
- 0–1 | 121 (79.6%) | 31 (20.4%) | |
- ≥ 2 | 12 (80.0%) | 3 (20.0%) | |
0.84 | |||
- No | 119 (79.9%) | 30 (20.1%) | |
- Yes | 14 (77.8%) | 4 (22.2%) |
Patient and tumour characteristics
Variable | No (%) |
---|---|
All patients | 167 (100%) |
- NSCC | 105 (62.9%) |
- SCC | 62 (37.1%) |
- Male | 119 (71.3%) |
- Female | 48 (28.7%) |
- Current/former smoker | 145 (86.8%) |
- Never smoker | 22 (13.2%) |
- 0-1 | 152 (91.0%) |
- ≥ 2 | 15 (9.0%) |
- No | 149 (89.2%) |
- Yes | 18 (10.8%) |
- Positive | 133 (79.6%) |
- Negative | 34 (20.4%) |
Univariate and multivariate analysis of overall survival
Variable | Univariate Analysis | Multivariate Analysis | ||||
---|---|---|---|---|---|---|
HR | 95%CI | HR | 95%CI | |||
SCC vs NSCC | 1.097 | 0.798–1.509 | 0.569 | 1.249 | 0.885–1.763 | 0.206 |
Male vs female | 1.396 | 0.994–1.961 | 0.054 | 1.390 | 0.939–2.057 | 0.100 |
Current/former smoker vs. non-smoker | 1.692 | 1.064–2.689 | 1.509 | 0.908–2.510 | 0.113 | |
0.1 vs ≥ 2 | 0.600 | 0.351–1.025 | 0.061 | 0.589 | 0.341–1.015 | 0.057 |
Yes vs No | 0.869 | 0.531–1.423 | 0.576 | 0.828 | 0.498–1.378 | 0.468 |
Positive vs negative | 0.766 | 0.523–1.121 | 0.170 | 0.776 | 0.518–1.162 | 0.219 |
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