Literature DB >> 32326908

Prognostic implications of Fibroblast growth factor receptor 1 (FGFR1) gene amplification and protein overexpression in hypopharyngeal and laryngeal squamous cell carcinoma.

Eun Kyung Kim1, Yoon Ah Cho2,3, Yoon Woo Koh4, Hyang Ae Shin5, Byoung Chul Cho6, Sun Och Yoon7.   

Abstract

BACKGROUND: The gene encoding fibroblast growth factor receptor 1 (FGFR1) is emerging as a therapeutic and prognostic biomarker in various cancer types, including head and neck squamous cell carcinoma (SCC). Here, we investigated the clinicopathologic implication of FGFR1 gene amplification and protein overexpression in hypopharyngeal and laryngeal SCC.
METHODS: Fluorescence in situ hybridization and immunohistochemistry were performed to determine FGFR1 gene amplification and protein overexpression in 209 surgically resected cases.
RESULTS: FGFR1 amplification observed in 8 (8/66, 12.1%; 6 hypopharynx and 2 larynx) patients and high FGFR1 expression in 21 (21/199, 10.6%) patients significantly correlated with lymph node metastasis and advanced pathological stages. FGFR1 amplification was also associated with worse disease-free survival in multivariate analysis (hazard ratio = 4.527, P = 0.032). High FGFR1 expression was more frequently observed, consistent with the worsening of the degree of histologic differentiation.
CONCLUSIONS: FGFR1 amplification may serve as an independent prognostic factor for disease-free survival in hypopharyngeal and laryngeal SCC. Aberrant FGFR signaling caused by FGFR1 gene amplification or protein overexpression may play a crucial role in the malignant evolution and progression of hypopharyngeal and laryngeal SCC, and offer novel therapeutic opportunities in patients with hypopharyngeal and laryngeal SCC that usually lack specific therapeutic targets.

Entities:  

Keywords:  Amplification; Fibroblast growth factor receptor 1 (FGFR1); Fluorescence in situ hybridization; Hypopharynx; Immunohistochemistry; Larynx; Squamous cell carcinoma

Year:  2020        PMID: 32326908      PMCID: PMC7181493          DOI: 10.1186/s12885-020-06792-7

Source DB:  PubMed          Journal:  BMC Cancer        ISSN: 1471-2407            Impact factor:   4.430


Background

Head and neck squamous cell carcinoma (HNSCC) arises from the squamous mucosa of the upper aerodigestive tract, which comprises the nasal cavity, paranasal sinus, oral cavity, nasopharynx, oropharynx, hypopharynx, and larynx. These distinct anatomic subsites contribute to the morphological, biological, and etiological heterogeneities of HNSCC. Cigarette smoking and alcohol consumption are the most common risk factors, especially for hypopharyngeal and laryngeal SCC [1, 2], while infection with high-risk human papilloma virus (HPV) has also been recognized as a risk factor associated with oropharyngeal SCC [3]. Recent studies have shown that HPV-positive SCC, mainly oropharyngeal SCC, exhibits significantly favorable survival outcomes [4-6]. However, SCCs of the hypopharynx and larynx, the second most common respiratory tract cancer after lung cancer, that represent HPV-negative HNSCCs are related to little improvement in patient outcomes despite multidisciplinary treatments because of frequent locoregional recurrences, distant metastases, and second primary tumors [7, 8]. The Cancer Genome Atlas (TCGA) has recently identified potentially targetable somatic genomic alterations based on HPV infection status, smoking, and primary tumor sites in HNSCC [9]. HPV-negative tumors are characterized with recurrent focal amplifications in receptor tyrosine kinases and fibroblast growth factor receptor 1 (FGFR1; 10% frequency) is the second most commonly observed gene after EGFR (15% frequency). The gene encoding FGFR1 is located on chromosome 8p11.23 and encodes tyrosine kinase family, which plays crucial roles in cancer development. This gene is dysregulated by amplification, point mutation, translocation, and overexpression in various cancers [10]. These aberrant FGFR1 alterations, in general, lead to gain-of-function characteristics and constitutively activate the downstream RAS/mitogen-activated protein kinase (MAPK), PI3K/protein kinase B (AKT), and Janus kinase (JAK)/signal transducer and activator of transcription (STAT) signaling pathways [11]. In previous studies of HNSCC, FGFR1 amplification has been reported in 3 to 17% of cases, and FGFR1 protein overexpression has been identified in about 11–82% of cases [12-18]. However, they presented conflicting results for FGFR1 as a prognostic biomarker. In addition, most of the studies have been conducted on the whole HNSCCs showing biological heterogeneity, and site-specific studies have been rarely performed on SCC, especially in SCCs of hypopharynx and larynx, which represent the prevalent subsites of HPV-negative SCC [13-19]. Therefore, more evidence is needed for the prognostic or predictive role of FGFR1 in HNSCC of hypopharynx and larynx. As a predictive marker for drug response, FGFR1 has been identified in preclinical or clinical studies of lung SCC or breast cancer [19-21]. Recently, several nonselective or selective tyrosine kinase inhibitors suppressing FGFR1 expression, such as lucitanib (E3810), dovitinib (TKI258), ponatinib (AP24534), AZD4547, BGJ398, and TAS-120, have shown promising data or are currently being investigated in preclinical models and clinical trials on solid tumors, including HNSCC (NCT02706691, NCT02795156) [22, 23]. However, effective targeted therapies for advanced HNSCC are still limited to the anti-EGFR monoclonal antibody, cetuximab, in HNSCC [24]. In this study, we evaluated FGFR1 gene amplification and protein overexpression and investigated its clinicopathologic and prognostic implications in hypopharyngeal and laryngeal SCC.

Methods

Patients and tissue samples

Archived formalin-fixed, paraffin-embedded (FFPE) specimens were obtained from patients with surgically resected primary hypopharyngeal and laryngeal SCC. The surgical resections, such as traditional or transoral robotic laryngopharyngectomy, excision, and cordectomy, were performed at Severance Hospital, Seoul, South Korea and National Health Insurance Service Ilsan Hospital, Goyang, South Korea, between 2005 and 2012 for curative aim. From the consecutive cases, 209 cases were selected when tumor tissues, clinical data (including smoking status), and survival data were available; patients received no preoperative treatment, and no clinicopathological evidences of distant metastasis were reported at the time of surgery. Relapsed patients were excluded. After surgery, some patients received adjuvant treatment, such as chemotherapy, radiotherapy, and concurrent chemoradiation therapy, based on the National Comprehensive Cancer Network (NCCN) guidelines and clinical judgment. Two pathologists (S.O.Y. and E.K.K.) evaluated the histologic features, including tumor location, size, grade, metastasis to regional lymph nodes, lymphovascular invasion, and perineural invasion, and confirmed the histopathologic diagnosis. Tumors were classified according to the eighth American Joint Committee on Cancer (AJCC) cancer system [25] and the World Health Organization system [2]. Clinical data were collected and reviewed as per patients’ medical records. Smoking status was defined as follows; “Never smokers” are those who have smoked less than 100 cigarettes in their lifetime, “former smokers” are those who have quit smoking for more than 12 months, and “current smokers” are those who are currently smoking or who have quit smoking for less than 12 months [26]. Alcohol consumption status was assessed as pure alcohol consumption, calculated as gram per day according to the average amount, frequency, and type. “Heavy drinkers” were those who consumed more than 30 g/day, and those who drank less were defined as “social drinkers” [27]. The study was approved by the Institutional Review Board of Severance Hospital (4–2015-0954) and National Health Insurance Service Ilsan Hospital (NHIMC 2018–04-021).

Tissue microarray (TMA) construction

Sections of FFPE tissues were prepared and stained with hematoxylin and eosin. The representative areas of tumors were confirmed and selected to obtain a TMA under the microscope. One to three different representative areas per case were selected, and core tissues (3 mm in diameter) were obtained from the individual FFPE blocks. Considering the possibility of heterogeneity, randomly selected 35 cases were stained on whole section slides.

FGFR1 fluorescence in situ hybridization (FISH)

We conducted the FISH assay on the TMAs using commercially available FGFR1 probes that hybridized to the 8p12–8p11.23 region using the fluorophore, Spectrum Orange (red) and to the centromere region of chromosome 8 (CEP 8) using the fluorophore, Spectrum Green (Abbott Molecular, Abbott Park, IL) following the manufacturers’ protocol. FISH results were interpreted by two expert evaluators (S.O.Y. and E.K.K.) without knowing the clinical information. Cells with sharp borders of nuclei, no signs of over-digestion, or non-overlapping nuclei were counted. Normal tissues including blood vessels, fibroblasts, or adjacent normal squamous epithelium served as internal positive controls. Tumor tissue was scanned for hot spots under 40× or 63× objective lens. Twenty contiguous tumor cell nuclei from three hot spots or random areas resulting in a total of 60 nuclei were individually evaluated under the 100× objective lens by counting red FGFR1 and green CEP8 signals. FGFR1 gene amplification was defined as 1) an FGFR1/CEP8 ratio of at least 2 and the average number of FGFR1 signals per tumor cell nucleus of at least 4 or 2) an average number of FGFR1 signals per tumor cell nucleus of at least 6 [15, 28].

FGFR1 immunohistochemistry (IHC)

FGFR1 protein expression was evaluated with IHC using a rabbit polyclonal anti-FGFR1 antibody (Clone ab10646, 1:1500 dilution, Abcam, Cambridge, UK) on 4-μm TMA tissue sections on a Ventana Bench Mark XT Autostainer (Ventana Medical Systems, Tucson, AZ, USA). FGFR1 staining pattern (cytoplasmic, membranous, or nuclear) and intensity (0, negative; 1, weak; 2, moderate; and 3, strong), and the percentage of positively stained tumor cells (0–100%) were evaluated. Staining pattern of normal squamous epithelial cells and stromal cells adjacent to or separated from tumors was compared to that of tumor cells. In addition, IHC was performed for Snail (dilution 1:200; Invitrogen, Thermo Fisher Scientific, CA, USA) and Twist (dilution 1:200; Abcam, Cambridge, UK), which are transcription factors related to epithelial mesenchymal transition (EMT). IHC expression of FGFR1, Snail, and Twist was analyzed using the semi-quantitative H-score method, which yields a possible score range of 0–300 obtained by multiplying the dominant intensity score with the percentage of positive tumor cells. In total, 171 samples subjected to p16 IHC (a mouse monoclonal antibody, clone E0037, Ventana, AZ, USA) at the time of diagnosis were reviewed. p16 expression was scored as positive upon detection of at least 70% nuclear and cytoplasmic expression, with at least moderate to strong intensity [29].

Statistical analysis

The chi-square, Fisher’s exact, independent-samples t-tests, and bivariate correlation analysis were conducted to compare the clinicopathologic parameters among patients with FGFR1 gene amplification and other protein expression. Statistical significance was set at P <  0.05 for all analyses. Patient survival rates were determined using the Kaplan-Meier method, and differences in survival rates were compared using the log-rank test. Disease-free survival (DFS) was measured from the time of surgery until disease progression, and was defined as cancer recurrence, continuance of progressive disease without complete remission, or cancer-related death. Overall survival (OS) was calculated from the date of surgery to the date of death or last follow-up visit. Multivariate analysis was performed with the Cox proportional hazard model using several clinicopathologic parameters. All statistical analyses were performed with IBM SPSS 22 software for Windows (IBM Corp, Somers, New York).

Results

Demographic characteristics of patients with hypopharyngeal and laryngeal SCC

The clinical and pathological characteristics of 209 patients are summarized in Table 1. A total of 195 (93.3%) patients were males and 14 (6.7%) were females, with a median age of 64 years (range 30–88 years). The cohort comprised 54 patients with (25.8%) hypopharyngeal SCC and 155 patients with (74.2%) laryngeal SCC. The majority of patients (n = 186, 89%) were current or former smokers, with a median smoking dosage of 30.0 pack-years (range 0–100). Furthermore, the majority of patients (n = 149, 87.1%) were heavy drinkers. Histological analysis revealed that most SCCs (n = 187, 89.5%) were well to moderately differentiated and revealed p16 IHC negativity (n = 149, 87.1%), as evident from 171 cases with available p16 IHC data. Advanced pT classification (pT3 and pT4a; n = 80, 38.3%) and advanced pN classification, especially pN3b (n = 52, 24.9%), were not uncommon. TNM stages were as follows: stage I in 28.7% cases, stage II in 13.9% cases, stage III in 15.3% cases, stage IVA in 17.2% cases, and stage IVB in 24.9% cases. Adjuvant treatment (concurrent chemoradiation therapy and radiation therapy) was provided to 120 (57.4%) patients. During the observation period with a median follow-up time of 38.8 months, 21.5% (n = 45) patients experienced recurrence. The mean DFS and OS rates for all patients were 82.3 months (range, 2–105 months) and 76.4 months (2–105 months), respectively. The 5-year DFS and OS rates were 74.1 and 67.6%, respectively.
Table 1

Demographic characteristics of hypopharynx and larynx squamous cell carcinoma

CharacteristicsAll patientsn (%)CharacteristicsAll patientsn (%)
Total209 (100)
Age (years)pT-classification
 Median (range)64.0 (30–88)pT171 (34.0)
 < 65114 (54.5)pT258 (27.8)
 ≥ 6595 (45.5)pT352 (24.9)
GenderpT4a28 (13.4)
 Female14 (6.7)pN-classification
 Male195 (93.3)pN0118 (56.5)
Primary sitespN113 (6.2)
 Hypopharynx54 (25.8)pN226 (12.5)
 Larynx155 (74.2)pN352 (24.9)
SmokingPathological stage
 Never smoker23 (11.0)Stage I60 (28.7)
 Former smoker54 (25.8)Stage II29 (13.9)
 Current smoker132 (63.2)Stage III32 (15.3)
AlcoholStage IVA36 (17.2)
 Non- or social- drinker45 (20.1)Stage IVB52 (24.9)
 Heavy drinker167 (79.9)Adjuvant treatment
Histologic differentiationNo89 (42.6)
 Well differentiated64 (30.6)Yes120 (57.4)
 Moderately differentiated123 (58.9)Chemotherapy (C)0 (0.0)
 Poorly differentiated22 (10.5)Radiation therapy (R)71 (34.0)
Lymphovascular invasionC + R49 (23.4)
 Absent163 (78.0)Recurrence
 Present46 (22.0)No164 (78.5)
Perineural invasionYes45 (21.5)
 Absent178 (85.2)Local recurrence only23 (51.1)
 Present31 (14.8)Distant recurrence22 (48.9)
Positive resection marginDisease-free survival
 Absent155 (74.2)Mean (range; months)82.3 (2–105)
 Present54 (25.8)Overall survival time
p16 status (n = 171)Mean (range; months)76.4 (2–105)
 Negative149 (87.1)
 Positive22 (12.9)
Demographic characteristics of hypopharynx and larynx squamous cell carcinoma

FGFR1 amplification status in hypopharyngeal and laryngeal SCC

The FISH test was finally available for 66 cases, excluding cases with decalcified tissue, insufficient amounts of tumor cells, or poor signals on FISH tests. Of these, 8 (12.1%) patients displayed FGFR1 amplification (Table 2 and Fig. 1a). The mean FGFR1 copy number per nucleus and the mean FGFR1/CEP8 ratio in all patients were 2.37 (range, 1.85 to 6.75 copies per nucleus) and 1.00 (range, 0.42 to 2.54), respectively, in 66 tested cases. The mean FGFR1 copy number was 5.37 (range, 4.01 to 6.75) in the amplification group and 2.48 (range 1.85 to 4.86), in the non-amplification group. The mean FGFR1/CEP8 ratio was 2.23 (range 1.59 to 2.54) and 0.96 (range, 0.42 to 1.59) in the amplification and non-amplification group, respectively (Supplementary Fig. 1).
Table 2

The status of FGFR1 gene amplification and protein overexpression in patients with hypopharyngeal and laryngeal squamous cell carcinoma

CharacteristicsFGFR1 amplification, n = 66P valueFGFR1 high expression, n = 199P value
Present, n (%)Absent, n (%)Present, n (%)Absent, n (%)
Total8 (12.1)58 (87.9)21 (10.6)178 (89.4)
Primary sites0.0150.307
 Hypopharynx6 (75.0)36 (62.1)6 (28.6)47 (26.4)
 Larynx2 (25.0)22 (37.9)15 (71.4)131 (73.6)
Gender0.7710.145
 Female0 (0.0)2 (3.4)3 (14.3)10 (5.6)
 Male8 (100.0)56 (96.6)18 (85.7)168 (94.4)
Age (years)0.4520.820
 Median (range)68.0 (55–73)63.0 (42–88)63.0 (45–78)64.0 (30–88)
 < 653 (37.5)33 (56.9)12 (57.1)95 (53.4)
 ≥ 655 (62.5)25 (43.1)9 (42.9)83 (46.6)
Smoking0.4050.302
 Never smoker2 (25.0)7 (12.1)3 (14.3)19 (10.7)
 Former smoker1 (12.5)15 (25.9)6 (28.6)45 (25.3)
 Current smoker5 (62.5)36 (62.1)12 (57.1)114 (64.0)
Alcohol0.1960.778
 Non- or social- drinker0 (0.0)13 (22.4)5 (23.8)37 (20.8)
 Heavy drinker8 (100.0)45 (77.6)16 (76.2)141 (79.2)
p16 status0.5510.697
 Negative7 (87.5)47 (81.0)14 (82.4)131 (88.5)
 Positive1 (12.5)11 (19.0)3 (17.6)17 (11.5)
 Unknown
Histologic differentiation0.355<  0.001
 Well differentiated2 (25.0)15 (25.9)1 (4.8)58 (32.6)
 Moderately differentiated4 (50.0)37 (63.8)11 (52.4)108 (60.7)
 Poorly differentiated2 (25.0)6 (10.3)9 (42.9)12 (6.7)
Lymphovascular invasion0.0310.096
 Absent4 (50.0)50 (86.2)13 (61.9)141 (79.2)
 Present4 (50.0)8 (13.8)8 (38.1)37 (20.8)
Perineural invasion0.6140.335
 Absent7 (87.5)52 (89.7)16 (76.2)152 (85.4)
 Present1 (12.5)6 (10.3)5 (23.8)26 (14.6)
Positive resection margin0.5370.494
 Absent4 (50.0)32 (55.2)16 (76.2)130 (73.0)
 Present4 (50.0)26 (44.8)5 (23.8)48 (27.0)
Pathological T-classification0.3650.238
 pT13 (37.5)29 (50.0)4 (19.0)59 (33.1)
 pT24 (50.0)18 (31.0)9 (42.9)49 (27.5)
 pT30 (0.0)10 (17.2)4 (19.0)48 (27.0)
 pT4a1 (9.1)1 (1.7)4 (19.0)22 (12.4)
Pathological N-classification0.0120.003
 pN03 (27.3)32 (58.2)6 (28.6)105 (59.0)
 pN10 (0.0)4 (7.3)1 (4.8)12 (6.7)
 pN21 (9.1)7 (12.7)4 (19.0)22 (12.4)
 pN37 (63.6)12 (21.8)10 (47.6)39 (21.9)
Pathological stage0.0470.001
 Stage I2 (25.0)24 (41.4)1 (4.8)53 (29.8)
 Stage II0 (0.0)5 (8.6)3 (14.3)26 (14.6)
 Stage III0 (0.0)7 (12.1)2 (9.5)30 (16.9)
 Stage IVA1 (12.5)8 (13.8)5 (23.8)30 (16.9)
 Stage IVB5 (62.5)14 (24.1)10 (47.6)39 (21.9)
Recurrence0.0420.263
 No4 (50.0)49 (84.5)14 (66.7)141 (79.2)
 Yes4 (50.0)9 (15.5)7 (33.3)37 (20.8)
 Local recurrence only2 (50.0)5 (55.6)2 (28.6)20 (54.1)
 Distant recurrence2 (50.0)4 (44.4)5 (71.4)17 (45.9)
Fig. 1

FGFR1 FISH analysis and FGFR1 protein expression in hypopharyngeal and laryngeal squamous cell carcinoma (SCC). (a) Amplified FGFR1 expression is shown as red signals (yellow arrows) and CEP8 signal (white arrows) is shown as green in nuclei. Increased red signals (in number 3~6) compared to green signal (in number 1~2) could define amplification of FGFR1 gene. Scale bar represents 10 μm. (original magnification, 1000×). Representative FGFR1 immunohistochemical staining (original magnification, 200×) showing negative (b), low expression (c), and high expression (d), and the corresponding hematoxylin and eosin-stained cases (inset; original magnification 400×) showing well differentiated SCC (b), moderately differentiated SCC (c), and poorly differentiated SCC (d)

The status of FGFR1 gene amplification and protein overexpression in patients with hypopharyngeal and laryngeal squamous cell carcinoma FGFR1 FISH analysis and FGFR1 protein expression in hypopharyngeal and laryngeal squamous cell carcinoma (SCC). (a) Amplified FGFR1 expression is shown as red signals (yellow arrows) and CEP8 signal (white arrows) is shown as green in nuclei. Increased red signals (in number 3~6) compared to green signal (in number 1~2) could define amplification of FGFR1 gene. Scale bar represents 10 μm. (original magnification, 1000×). Representative FGFR1 immunohistochemical staining (original magnification, 200×) showing negative (b), low expression (c), and high expression (d), and the corresponding hematoxylin and eosin-stained cases (inset; original magnification 400×) showing well differentiated SCC (b), moderately differentiated SCC (c), and poorly differentiated SCC (d) The association of FGFR1 amplification with clinical and pathological factors is summarized in Table 2. FGFR1 amplification was more frequent in hypopharyngeal SCC than in laryngeal SCC (6/42, 14.3% versus 2/24, 8.3%; P = 0.015) and showed a significant correlation with the presence of lymphovascular invasion (P = 0.031), more advanced pathological N-classification (P = 0.020), more advanced TNM tumor stage (P = 0.047), and more frequent recurrence rate (P = 0.042) than cases with no FGFR1 amplification. Other factors were not significant according to FGFR1 amplification status. For the 8 cases with FGFR1 amplified squamous cell carcinoma, the clinicopathologic characteristics as well as detailed status FGFR1 gene and FGFR1 protein are summarized in Supplementary Table S1.

FGFR1 protein expression in hypopharyngeal and laryngeal SCC

FGFR1 IHC was evaluable in 199 cases. FGFR1 staining exhibited cytoplasmic patterns with occasional weak nuclear patterns and was uniform in most tumor areas. The normal squamous epithelial cells and stromal cells adjacent to or separated from tumors were stained with an intensity from 0 to 2, and none showed strong staining with an intensity score of 3. We found cases with predominantly strong FGFR1 staining intensity (score 3) in tumor cells, wherein positive staining was observed in more than 80% tumor cells; therefore, the H-score of these cases was calculated to be more than 240 (Fig. 2a). Considering the expression pattern of FGFR1, we defined the cutoff value for high FGFR1 expression as a strong intensity and/or H-score of more than 240. The H-score of FGFR1 was only weakly correlated in stromal cells and tumor cells (r = 0.256, P <  0.001).
Fig. 2

FGFR1 immunohistochemistry in hypopharyngeal and laryngeal squamous cell carcinoma. (a) FGFR1-positive tumor cells with strong intensity were observed in more than 80% tumor area. (b) High FGFR1 expression was more frequently found in poorly differentiated histology. (c) High FGFR1 protein expression showed a marginal tendency to be related to gene amplification

FGFR1 immunohistochemistry in hypopharyngeal and laryngeal squamous cell carcinoma. (a) FGFR1-positive tumor cells with strong intensity were observed in more than 80% tumor area. (b) High FGFR1 expression was more frequently found in poorly differentiated histology. (c) High FGFR1 protein expression showed a marginal tendency to be related to gene amplification On the basis of the criteria of our series, 21 (10.6%) patients showed high FGFR1 expression. The association between FGFR1 overexpression and clinical and pathological factors is summarized in Table 2. High FGFR1 expression was more frequently detected in poorly differentiated histology (P <  0.001; Table 2 and Fig. 1b-d), while well differentiated SCC showed no or low FGFR1 expression (Fig. 2b). In comparison with no or low FGFR1 expression, high FGFR1 expression was associated with more advanced pathological N-classification (P = 0.003) and TNM stage (P = 0.001). Other factors were not significant according to FGFR1 expression status (Table 2). Consistent with FGFR1 gene expression, high FGFR1 protein expression showed a marginal tendency to be related with gene amplification, although no statistical significance was observed (Fig. 2c; P = 0.059).

Alteration of FGFR1 and epithelial mesenchymal transition (EMT)

Snail and Twist IHC were evaluable in 67 cases. When comparing FGFR1 amplified SCC with non-amplified SCC, there were no statistically significant differences in Snail and Twist expression (P = 0.344 and P = 0.637, respectively; Supplementary Figure S2 and S3). The expression level of FGFR1 protein also did not correlate with the expression levels of Snail and Twist (P = 0.904 and P = 0.402, respectively; Supplementary Figure S2 and S3).

Survival outcomes according to FGFR1 gene amplification and protein expression

In the Kaplan-Meir analysis, patients with FGFR1 amplification were more associated with inferior DFS rate than those with no amplification (P = 0.010, Fig. 3a); however, such significant association was not observed for OS rate (P = 0.240, Fig. 3b). The status of FGFR1 protein expression showed no significant association with DFS and OS (P = 0.226 and P = 0.341, respectively; Fig. 3c and d).
Fig. 3

Kaplan-Meier survival curves for FGFR1 gene amplification (a and b) and protein overexpression (c and d) in hypopharyngeal and laryngeal squamous cell carcinoma. FGFR1 amplification was significantly associated with disease-free survival (a) but not overall survival (b). FGFR1 protein overexpression was not related to disease-free survival (c) or overall survival (d)

Kaplan-Meier survival curves for FGFR1 gene amplification (a and b) and protein overexpression (c and d) in hypopharyngeal and laryngeal squamous cell carcinoma. FGFR1 amplification was significantly associated with disease-free survival (a) but not overall survival (b). FGFR1 protein overexpression was not related to disease-free survival (c) or overall survival (d) In the univariate Cox proportional hazard analysis for DFS (Table 3), poorly differentiated histology (hazard ratio [HR] 3.803, P = 0.006), perineural invasion (HR 2.046, P = 0.039), pN-classification (N2; HR 5.415; P <  0.001, N3; HR 2.816; P = 0.005), pathologic stage (IV; HR 3.124; P = 0.007), and FGFR1 amplification (HR 4.204, P = 0.017) were significantly related to worse DFS. Of these, FGFR1 amplification was determined as an independent factor for poor DFS in multivariate analysis (HR 3.666, P = 0.049).
Table 3

Cox proportional hazards regression model for disease-free survival in hypopharyngeal and laryngeal squamous cell carcinoma

VariablesUnivariateMultivariate
P valueHR (95% CI)P valueHR (95% CI)
≥ 65 years0.4851.232 (0.686–2.211)
Male0.9611.030 (0.319–3.324)
Primary sites
 Larynx1 (reference)
 Hypopharynx0.3851.331 (0.698–2.536)
Smoking
 Never smoker1 (reference)
 Smoker0.3680.690 (0.308–1.546)
Alcohol
 Non- or social- drinker1 (reference)
 Heavy drinker0.1961.763 (0.746–4.164)
Differentiation
 Well1 (reference)1 (reference)
 Moderate0.0572.148 (0.979–4.715)0.6871.340 (0.323–5.561)
 Poor0.0063.803 (1.466–9.864)0.8831.154 (0.170–7.839)
Lymphovascular invasion0.1201.669 (0.875–3.180)
Perineural invasion0.0392.046 (1.035–4.040)0.6130.567 (0.063–5.119)
Positive resection margin0.0911.710 (0.919–3.185)
pT-classification
 pT11 (reference)
 pT20.9061.051 (0.463–2.384)
 pT30.1781.715 (0.782–3.759)
 pT4a0.0702.224 (0.936–5.282)
pN-classification
 pN01 (reference)
 pN10.0622.881 (0.948–8.757)
 pN2<  0.0015.415 (2.492–11.769)
 pN30.0052.816 (1.359–5.837)
Pathological stage
 Stage I1 (reference)1 (reference)
 Stage II0.6860.756 (0.195–2.929)0.9041.147 (0.124–10.594)
 Stage III0.1682.089 (0.732–5.960)0.982< 0.001
 Stage IV0.0073.124 (1.364–7.153)0.2342.511 (0.551–11.438)
Adjuvant treatment0.3961.303 (0.707–2.400)
p16 positivity0.7911.073 (0.637–1.806)
FGFR1 amplification0.0174.204 (1.290–13.698)0.0493.666 (1.006–13.361)
FGFR1 high expression0.2351.633 (0.727–3.664)

Abbreviations: CI Confidence interval, HR Hazard ratio

bVariables of the pT and pN classification were not included in the multivariate analysis, because they were included in the pathologic stage

Cox proportional hazards regression model for disease-free survival in hypopharyngeal and laryngeal squamous cell carcinoma Abbreviations: CI Confidence interval, HR Hazard ratio bVariables of the pT and pN classification were not included in the multivariate analysis, because they were included in the pathologic stage In the univariate Cox proportional hazard analysis for OS (Table 4), older age (≥ 65 years, HR 2.102, P = 0.009), primary site (hypopharynx, HR 1.812, P = 0.042), histologic differentiation (moderate; HR 2.885; P = 0.007, poor; HR 3.180, P = 0.026), lymphovascular invasion (HR 1.842, P = 0.040), perineural invasion (HR 2.608, P = 0.002), positive resection margin (HR 2.236, P = 0.006), T-classification (T3; HR 1.715; P = 0.032, T4a; HR 2.224; P = 0.011), pN-classification (N2; HR 2.982; P = 0.005, N3; HR 3.003; P = 0.001), and advanced pathologic stage (III; HR 3.890; P = 0.011, IV; HR 4.102; P = 0.004) were significantly related to inferior OS rates. Older age (≥ 65 years, HR 1.835, P = 0.035), positive resection margin (HR 2.712, P = 0.002), and advanced pathologic stage (III; HR 3.018; P = 0.048, IV; HR 2.967; P = 0.046) were identified as the independent factors for poor OS in multivariate analysis.
Table 4

Cox proportional hazards regression model for overall survival in hypopharyngeal and laryngeal squamous cell carcinoma

VariablesUnivariateMultivariate
P valueHR (95% CI)P valueHR (95% CI)
≥ 65 years0.0092.102 (1.207–3.663)0.0351.835 (1.042–3.231)
Male0.5031.493 (0.463–4.816)
Primary sites
 Larynx1 (reference)1 (reference)
 Hypopharynx0.0421.812 (1.022–3.213)0.7021.142 (0.580–2.248)
Smoking
 Never smoker1 (reference)
 Smoker0.6211.263 (0.500–3.190)
Alcohol
 Non- or social- drinker1 (reference)
 Heavy drinker0.1601.772 (0.798–3.937)
Differentiation
 Well1 (reference)1 (reference)
 Moderate0.0072.885 (1.343–6.199)0.0332.422 (1.076–5.452)
 Poor0.0263.180 (1.147–8.819)0.4221.398 (0.532–4.513)
Lymphovascular invasion0.0401.842 (1.029–3.296)0.5690.819 (0.411–1.632)
Perineural invasion0.0022.608 (1.411–4.821)0.0981.825 (0.896–3.720)
Positive resection margin0.0062.236 (1.265–3.951)0.0022.712 (1.425–5.161)
pT-classification
 pT11 (reference)
 pT20.3581.464 (0.649–3.301)
 pT30.0321.715 (1.076–5.171)
 pT4a0.0112.224 (1.286–6.928)
pN-classification
 pN01 (reference)
 pN10.0852.385 (0.888–6.409)
 pN20.0052.982 (1.382–6.431)
 pN30.0013.003 (1.578–5.714)
Pathological stage
 Stage I1 (reference)1 (reference)
 Stage II0.4821.561 (0.451–5.402)0.4571.625 (0.452–5.847)
 Stage III0.0113.890 (1.361–11.117)0.0483.018 (1.010–9.018)
 Stage IV0.0044.102 (1.591–10.581)0.0462.967 (1.018–8.647)
Adjuvant treatment0.6151.154 (0.661–2.013)
p16 positivity0.1270.331 (0.080–1.368)
FGFR1 amplification0.2522.128 (0.585–7.738)
FGFR1 high expression0.3191.504 (0.674–3.354)

aAbbreviations: CI Confidence interval, HR Hazard ratio

bVariables of the pT and pN classification were not included in the multivariate analysis, because they were included in the pathologic stage

Cox proportional hazards regression model for overall survival in hypopharyngeal and laryngeal squamous cell carcinoma aAbbreviations: CI Confidence interval, HR Hazard ratio bVariables of the pT and pN classification were not included in the multivariate analysis, because they were included in the pathologic stage

Discussion

In the present study, we investigated the clinicopathologic and prognostic implications of FGFR1 gene amplification and protein overexpression in hypopharyngeal and laryngeal SCC. We analyzed a large number of cases that underwent standard management of curative surgery and appropriate adjuvant therapy in two different institutes. In our series, hypopharyngeal and laryngeal SCCs were generally detected in late adulthood, and frequently related to smoking and alcohol consumption and p16 IHC negativity. Furthermore, advanced tumor stages, especially advanced pathologic lymph node stages, were not uncommon, and the 5-year DFS and OS rates were 74.1 and 67.6%, respectively, indicating that a proportion of patients with this disease exhibited unfavorable outcomes. These demographic features were generally similar to those previously reported and our series may be used as a surrogate of the population-based data [30, 31]. Hypopharyngeal SCCs showed more lymph node metastasis compared to laryngeal SCC in our study and they were expected to have a worse prognosis than laryngeal SCC. However, in Kaplan-Meier analysis and multivariate Cox regression model, the difference between OS and DFS according to larynx and hypopharynx was not statistically significant. Therefore, we think combining these two groups would not cause serious selection bias, but the concept of non-HPV related SCC can be approached. FGFR1 gene amplification was observed in about 12% tested hypopharyngeal and laryngeal SCC cases that was slightly more frequent in hypopharyngeal SCC (14.3%) than in laryngeal SCC (8.3%). FGFR1 amplification has been suggested as an oncogenic driver mutation in tobacco-associated cancers of the aerodigestive tract [16, 32–34]. Previous studies on FGFR1 in HNSCC have shown that FGFR1 amplification is more common in the SCC of hypopharynx and larynx than in that of oropharynx or oral cavity [14, 16]. In addition, FGFR1 amplification has no relationship with HPV infection [13]. All these findings are suggestive of the biological role of FGFR1 amplification in the tumorigenesis of these tobacco or alcohol-related cancers, hypopharyngeal and laryngeal SCCs, and may predict the role of targeted therapy for these tumors [30, 31]. Considering the clinical implications of FGFR1 amplification, we observed significant association with poor prognostic factors, specifically, lymphovascular invasion and advanced stages of lymph node metastasis. This observation may be related to our findings that cases with FGFR1 amplification were closely associated with advanced TNM tumor stages and poorer DFS. In particular, FGFR1 amplification was determined as an independent factor for disease progression and thus, may be involved in the invasion, metastasis, and drug resistance of tumor cells during the development of treatment-resistant, aggressive, advanced hypopharyngeal and laryngeal SCCs. Several studies have also shown that FGFR1 amplification plays a role in the invasion, metastasis, and drug resistance of various tumors [32, 35]. A recent study performed genomic profiling of HNSCC using targeted next-generation sequencing and identified FGFR1 amplification as an independent prognostic factor for OS [14], while it has been failed to impact on prognosis in other studies [15, 16, 36]. In our study, we failed to detect any association between FGFR1 amplification and OS. Cases positive for FGFR1 amplification were relatively fewer in number in previous and present studies; therefore, its prognostic role warrants validation in future studies, including meta-analysis. In our series, high FGFR1 expression was observed in about 11% of tested cases with hypopharynx and larynx SCCs. Similar to FGFR1 amplification, FGFR1 protein overexpression was associated with lymph node metastasis and advanced TNM tumor stages. Considering the marginal association between high FGFR1 expression and FGFR1 amplification, gene amplification and the subsequent protein overexpression may be one of the related mechanisms underlying the invasion and metastasis of hypopharyngeal and laryngeal SCCs. However, FGFR1 protein overexpression showed no effect on survival outcomes. Previous studies have shown a disagreement with prognostic values of FGFR1 overexpression in HNSCC, probably owing to the use of different FGFR1 overexpression criteria, anti-FGFR1 antibodies, and cohorts with different anatomical locations [13, 17, 37]. FGFR1 demonstrated strong and diffused expression in poorly differentiated SCC, while normal, dysplastic squamous epithelium, or well differentiated SCC exhibited weak to moderate expression patterns. In a recent study on oral tongue SCC, FGFR1 expression was stronger in high-grade dysplasia than in low-grade dysplasia as well as in the nucleus of poorly differentiated SCC cells [37]. However, we failed to report any increase in nuclear staining in poorly differentiated SCC. These results suggest that FGFR1 may be one of the important factors in the carcinogenesis and progression of HPV-negative, smoking- and alcohol-related SCC represented by hypopharyngeal and laryngeal SCC. Regarding the biologic implications of FGFR1 gene amplification or protein overexpression in hypopharyngeal and laryngeal SCC, we investigated a correlation of FGFR1 alteration with twist and snail, the well-known EMT markers, on the basis of previous studies showing that EMT is induced in tumors by abnormal activation of the FGFR signaling pathway in several types of cancers including HNSCC [38-41]. However, we did not observe that amplification or high protein expression of FGFR1 is related to overexpression of these two EMT-related proteins. Therefore, further studies are needed to determine whether changes in FGFR1 affect EMT acquisition in hypopharyngeal and laryngeal SCC. In addition, further in-depth studies should be followed for the underlying mechanisms of aberrant FGFR1 alterations in the tumorigenesis of hypopharyngeal and laryngeal SCC in the aspect of the known downstream signals of RAS/MAPK, PI3K/AKT, and JAK/STAT signaling pathways [11]. FGFR1 gene amplification and protein or mRNA expression have demonstrated correlation in some previous studies [23, 28]. However, we could not find any strong correlation between FGFR1 gene amplification and protein overexpression. This discrepancy may be associated with the differences in the cutoff level of amplification and protein or mRNA expression among various studies. Furthermore, FGFR1 amplification may not always cause protein overexpression alone, and may be affected by other closely related receptor tyrosine kinases (RTK). In lung SCC, some researchers suggested the mechanism of discrepancy between protein expression and gene amplification of FGFR1 due to crosstalk between FGFR1 and co-activated RTKs in FGFR1-amplified lung cancers with low FGFR1 protein expression [42, 43].

Conclusions

In summary, we report that FGFR1 gene amplification and protein overexpression occur in hypopharyngeal and laryngeal SCC with an incidence of 12.1 and 10.6%, respectively. High FGFR1 expression was more frequent with the worsening of histologic differentiation. In addition, FGFR1 amplification appeared as an independent prognostic factor for DFS and may serve as a prognostic biomarker. These results suggest that the altered FGFR1 pathways play an important role in the malignant evolution and progression of hypopharyngeal and laryngeal SCC. Several emerging FGFR1-targeted therapies may shed light on treatment of patients with hypopharyngeal and laryngeal SCC that usually lack specific therapeutic targets. Additional file 1: Figure S1. The mean FGFR1/CEP8 ratio (R) and the mean FGFR1 copy number (CN) in hypopharyngeal and laryngeal squamous cell carcinoma. (A) The mean FGFR1 R and CN were 2.37 and 1.00, respectively, in 66 tested cases. (B) The mean FGFR1 R was 2.18 and 0.96 in the amplification and non-amplification group, respectively. (C) The mean FGFR1 CN was 5.36 in the amplification group and 2.48, in the non-amplification group. Additional file 2: Figure S2. The box-plot graphs of Snail (A and C) and Twist (B and D) immunohistochemical analysis (H-score) of protein expression in hypopharyngeal and laryngeal SCC. There is no statistically significant differences in Snail and Twist expression according to FGFR1 amplification (P = 0.344 and P = 0.637, respectively; A and B) or high protein expression (P = 0.904 and P = 0.402, respectively; C and D). Additional file 3: Figure S3. Snail (A-C) and Twist (D-F) protein expression by immunohistochemical staining in hypopharyngeal and laryngeal SCC. They both show nuclear staining. (A and D) Negative/weak, (B and E) moderate, and (C and F) strong intensities. Additional file 4: Table S1. Clinicopathologic characteristics of 8 cases of FGFR1 amplified squamous cell carcinoma.
  41 in total

Review 1.  Targeting the fibroblast growth factor receptor family in cancer.

Authors:  Niamh Hallinan; Stephen Finn; Sinead Cuffe; Shereen Rafee; Kenneth O'Byrne; Kathy Gately
Journal:  Cancer Treat Rev       Date:  2016-04-12       Impact factor: 12.111

2.  Recurrent FGFR1 amplification and high FGFR1 protein expression in oral squamous cell carcinoma (OSCC).

Authors:  Kolja Freier; Carsten Schwaenen; Carsten Sticht; Christa Flechtenmacher; Joachim Mühling; Christof Hofele; Bernhard Radlwimmer; Peter Lichter; Stefan Joos
Journal:  Oral Oncol       Date:  2006-06-27       Impact factor: 5.337

3.  Human papillomavirus and rising oropharyngeal cancer incidence in the United States.

Authors:  Anil K Chaturvedi; Eric A Engels; Ruth M Pfeiffer; Brenda Y Hernandez; Weihong Xiao; Esther Kim; Bo Jiang; Marc T Goodman; Maria Sibug-Saber; Wendy Cozen; Lihua Liu; Charles F Lynch; Nicolas Wentzensen; Richard C Jordan; Sean Altekruse; William F Anderson; Philip S Rosenberg; Maura L Gillison
Journal:  J Clin Oncol       Date:  2011-10-03       Impact factor: 44.544

4.  Distinct risk factor profiles for human papillomavirus type 16-positive and human papillomavirus type 16-negative head and neck cancers.

Authors:  Maura L Gillison; Gypsyamber D'Souza; William Westra; Elizabeth Sugar; Weihong Xiao; Shahnaz Begum; Raphael Viscidi
Journal:  J Natl Cancer Inst       Date:  2008-03-11       Impact factor: 13.506

5.  Resistance mediated by alternative receptor tyrosine kinases in FGFR1-amplified lung cancer.

Authors:  Yuta Adachi; Kazuyoshi Watanabe; Kenji Kita; Hidenori Kitai; Hiroshi Kotani; Yuki Sato; Naohiko Inase; Seiji Yano; Hiromichi Ebi
Journal:  Carcinogenesis       Date:  2017-10-26       Impact factor: 4.944

6.  Prevalence of fibroblast growth factor receptor 1 (FGFR1) amplification in squamous cell carcinomas of the head and neck.

Authors:  Till Sebastian Clauditz; Arne Böttcher; Henning Hanken; Kerstin Borgmann; Guido Sauter; Waldemar Wilczak; Tobias Grob; Adrian Münscher
Journal:  J Cancer Res Clin Oncol       Date:  2017-10-11       Impact factor: 4.553

7.  Alcohol drinking in never users of tobacco, cigarette smoking in never drinkers, and the risk of head and neck cancer: pooled analysis in the International Head and Neck Cancer Epidemiology Consortium.

Authors:  Mia Hashibe; Paul Brennan; Simone Benhamou; Xavier Castellsague; Chu Chen; Maria Paula Curado; Luigino Dal Maso; Alexander W Daudt; Eleonora Fabianova; Leticia Fernandez; Victor Wünsch-Filho; Silvia Franceschi; Richard B Hayes; Rolando Herrero; Sergio Koifman; Carlo La Vecchia; Philip Lazarus; Fabio Levi; Dana Mates; Elena Matos; Ana Menezes; Joshua Muscat; Jose Eluf-Neto; Andrew F Olshan; Peter Rudnai; Stephen M Schwartz; Elaine Smith; Erich M Sturgis; Neonilia Szeszenia-Dabrowska; Renato Talamini; Qingyi Wei; Deborah M Winn; David Zaridze; Witold Zatonski; Zuo-Feng Zhang; Julien Berthiller; Paolo Boffetta
Journal:  J Natl Cancer Inst       Date:  2007-05-16       Impact factor: 13.506

8.  Comprehensive genomic characterization of head and neck squamous cell carcinomas.

Authors: 
Journal:  Nature       Date:  2015-01-29       Impact factor: 49.962

Review 9.  Fibroblast Growth Factor Receptor Family Members as Prognostic Biomarkers in Head and Neck Squamous Cell Carcinoma: A Systematic Review.

Authors:  Norbertus A Ipenburg; Koos Koole; K Seng Liem; Pauline M W van Kempen; Ron Koole; Paul J van Diest; Robert J J van Es; Stefan M Willems
Journal:  Target Oncol       Date:  2016-02       Impact factor: 4.493

10.  FGFR Family Members Protein Expression as Prognostic Markers in Oral Cavity and Oropharyngeal Squamous Cell Carcinoma.

Authors:  Koos Koole; Martijn J A M Clausen; Robert J J van Es; Pauline M W van Kempen; Lieuwe J Melchers; Ron Koole; Johannes A Langendijk; Paul J van Diest; Jan L N Roodenburg; Ed Schuuring; Stefan M Willems
Journal:  Mol Diagn Ther       Date:  2016-08       Impact factor: 4.074

View more
  6 in total

1.  Therapeutic Targeting of FGFR Signaling in Head and Neck Cancer.

Authors:  Zechen Wang; Karen S Anderson
Journal:  Cancer J       Date:  2022 Sep-Oct 01       Impact factor: 2.074

Review 2.  Inhibition of FGF-FGFR and VEGF-VEGFR signalling in cancer treatment.

Authors:  Guihong Liu; Tao Chen; Zhenyu Ding; Yang Wang; Yuquan Wei; Xiawei Wei
Journal:  Cell Prolif       Date:  2021-03-02       Impact factor: 6.831

3.  Fibroblast growth factor (FGF), FGF receptor (FGFR), and cyclin D1 (CCND1) DNA methylation in head and neck squamous cell carcinomas is associated with transcriptional activity, gene amplification, human papillomavirus (HPV) status, and sensitivity to tyrosine kinase inhibitors.

Authors:  Friederike Schröck; Dimo Dietrich; Yilin Bao; Jennis Gabrielpillai; Jörn Dietrich; Romina Zarbl; Sebastian Strieth
Journal:  Clin Epigenetics       Date:  2021-12-21       Impact factor: 6.551

Review 4.  Patient Selection Approaches in FGFR Inhibitor Trials-Many Paths to the Same End?

Authors:  Peter Ellinghaus; Daniel Neureiter; Hendrik Nogai; Sebastian Stintzing; Matthias Ocker
Journal:  Cells       Date:  2022-10-10       Impact factor: 7.666

5.  Expression and clinical significance of FGFR1 and FGFR2 in laryngeal squamous cell carcinoma.

Authors:  Mengdie Hu; Shujun Zhang
Journal:  Transl Cancer Res       Date:  2022-09       Impact factor: 0.496

6.  Long non‑coding RNA HCG18 facilitates the progression of laryngeal and hypopharyngeal squamous cell carcinoma by upregulating FGFR1 via miR‑133b.

Authors:  Hongbin Peng; Pingjiang Ge
Journal:  Mol Med Rep       Date:  2021-12-08       Impact factor: 2.952

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.