Giovanni Nicoletti1,2, Marco Mario Tresoldi1,3, Alberto Malovini4, Borelli Francesco5, Angela Faga2. 1. Plastic and Reconstructive Surgery, Department of Clinical Surgical, Diagnostic and Pediatric Sciences, University of Pavia, Pavia, Italy. 2. Advanced Technologies for Regenerative Medicine and Inductive Surgery Research Center, University of Pavia, Pavia, Italy. 3. Department of Surgery, Istituti Clinici Scientifici Maugeri, Pavia, Italy. 4. Laboratory of Informatics and Systems Engineering for Clinical Research, Istituti Clinici Scientifici Maugeri Research and Care Institute, Pavia, Italy. 5. Plastic, Reconstructive and Aesthetic Surgery Residency Program, Universities of Milan-Pavia, Pavia, Italy.
Abstract
BACKGROUND: Traditionally, nonmelanoma skin cancers (NMSCs) are considered mainly UV-related malignancies. Nevertheless, a strong correlation between the embryologically relevant sites (ERS) of the head and neck and the preferential sites of onset of basal cell carcinomas (BCCs) has long been supposed and demonstrated. The aim of this research was the investigation of the potential correlation between the ERS of the head and neck and the sites of tumor onset in all of the NMSCs. METHODS: The distribution of 1165 NMSC was correlated with the ERS of the head and neck using the universally accepted anatomical diagrams featuring the congenital head and neck clefts and an original anatomical diagram showing the most credited sites of the embryonic fusion planes of the auricle. RESULTS: In our sample, both BCC and SSC display an increased likelihood of onset in the ERS of the head and neck. A proportion of 93.10% BCCs was distributed within ERS, while 6.90% derived from non-embryologically relevant sites (P < 0.001). A proportion of 69.70% SCCs was distributed within ERS, while 30.30% derived from non-embryologically relevant sites (P < 0.001). The probability of tumors within ERS was significantly higher for BCC versus SCC (P < 0.001), with BCCs having a 5-fold increase in the probability of occurring in ERS compared to SCCs (P < 0.001). CONCLUSIONS: The ERS might host areas of cellular instability yielding to the development of an NMSC. The environmental UV exposure plays a relatively main role versus dysontogenic factors in the pathogenesis of SCC.
BACKGROUND: Traditionally, nonmelanoma skin cancers (NMSCs) are considered mainly UV-related malignancies. Nevertheless, a strong correlation between the embryologically relevant sites (ERS) of the head and neck and the preferential sites of onset of basal cell carcinomas (BCCs) has long been supposed and demonstrated. The aim of this research was the investigation of the potential correlation between the ERS of the head and neck and the sites of tumor onset in all of the NMSCs. METHODS: The distribution of 1165 NMSC was correlated with the ERS of the head and neck using the universally accepted anatomical diagrams featuring the congenital head and neck clefts and an original anatomical diagram showing the most credited sites of the embryonic fusion planes of the auricle. RESULTS: In our sample, both BCC and SSC display an increased likelihood of onset in the ERS of the head and neck. A proportion of 93.10% BCCs was distributed within ERS, while 6.90% derived from non-embryologically relevant sites (P < 0.001). A proportion of 69.70% SCCs was distributed within ERS, while 30.30% derived from non-embryologically relevant sites (P < 0.001). The probability of tumors within ERS was significantly higher for BCC versus SCC (P < 0.001), with BCCs having a 5-fold increase in the probability of occurring in ERS compared to SCCs (P < 0.001). CONCLUSIONS: The ERS might host areas of cellular instability yielding to the development of an NMSC. The environmental UV exposure plays a relatively main role versus dysontogenic factors in the pathogenesis of SCC.
Traditionally, nonmelanoma skin cancers (NMSCs) are considered mainly UV-related malignancies with an increased incidence in the elderly, where frequently there is evidence of damage from chronic sun exposure.[1] Chronic trauma,[2] scars,[3] chronic wounds,[4] X-ray[5] and arsenic exposure,[6] and immunodeficiency[7] are also associated with the onset of NMSCs.A growing number of literature reports have been disclosing the correlation between the embryonic fusion planes of the head and neck and the preferential sites of onset of basal cell carcinomas (BCCs). Our research group already provided evidence of such a correlation[8] and recently extended the investigation to the auricle,[9] a traditionally neglected anatomical site in this research field.The aim of this research was the investigation of the potential correlation between the embryonic fusion planes of the head and neck and the sites of onset in all of the NMSCs.
MATERIALS AND METHODS
An overall number of 947 patients with 1,165 histologically demonstrated NMSCs of the head and neck including the auricle were admitted at the Plastic and Reconstructive Surgery Unit of the University of Pavia, Istituti Clinici Scientifici Maugeri, Pavia (Italy), over a period of 10 years, from June 2008 to May 2018. Within the latter sample, 811 patients suffered from 1,000 BCCs and 136 patients suffered from 165 SCCs.Multiple lesions from individual patients were considered as separate cases as the single skin tumor was considered the experimental unit of the study. For each patient, data on gender, age at the time of surgery, and localization of the tumor were recorded.All of the cases underwent medical preoperative digital photography, and the records were stored in the Unit’s dedicated master file.The archived digital images were coded according to the specific location of each tumor according to its approximate center using the following diagrams identifying the sites of embryonic fusion planes, considered as embryologically relevant sites (ERS):The original anatomic diagram of the Tessier classification of the craniofacial clefts[10] (Fig. 1) where the clefts are numbered from 0 to 14, with the lower numbers (0 to 7) representing the facial clefts and the higher numbers (8 to 14) representing their cranial extensions up to the lower half of the forehead. This classification was integrated by the anatomic diagram by Moore et al. featuring the paths of the “hairline indicators” of the craniofacial clefts that represent the superior and lateral extension of the Tessier original craniofacial cleft classification (Fig. 2).[11]
Fig. 1.
The original Tessier anatomical diagram of craniofacial clefts: localization on (A) the soft tissues and (B) skeleton. The dotted lines are either uncertain localizations or uncertain clefts. Reprinted with permission from Elsevier: Tessier P. Anatomical classification facial, craniofacial and latero-facial clefts. J Maxillofac Surg. 1976;4:69–92.
A detailed original anatomical diagram featuring the typical sites of the congenital clefts, fistulas, and cysts of the neck corresponding to 2 lines running along the sterno-cleido-mastoid muscle, from the mastoid to the jugular notch, and the anterior midline, from the chin to the jugular notch, respectively (Fig. 3).[12-15]
An original full-size anatomical diagram derived from the reports by Streeter, Wood-Jones, Park, Porter and Minoux showing the 2 currently most credited sites of the embryonic fusion planes of the auricle.[9] The planes were represented by two 5-mm-wide ribbon-like areas: the first one, termed hyoid-mandibular fusion plane (HM-FP), running along a line from the upper margin of the tragus towards the concha and then deflecting towards the lower margin of the tragus; the second one, termed free ear fold-hyoid fusion plane (FEFH-FP), running from the cranial-most portion of the helix to the mid-portion of the ascending helix (Fig. 4).[9]
Fig. 4.
Original anatomical diagram showing the sites of the embryonic fusion planes of the auricle according to Streeter, Wood Jones, Park, Porter, and Minoux. The hyoid-mandibular fusion plane (HM-FP) is featured in red, and the free ear fold-hyoid fusion plane (FEFH-FP) in blue. Reprinted with permission from SAGE Publications Ltd.: Nicoletti G, Tresoldi MM, Malovini A, Prigent S, Faga A. Correlation between the sites of onset of basal cell carcinoma and the embryonic fusion planes in the auricle. Clinical Medicine Insights: Oncology. 12(1): 1–5, 2018.
The exact binomial test was applied to test if the frequency of BCC and SCC tumors localized within ERS was significantly different from the fraction of tumors on ERS expected by chance (50%). The Shapiro–Wilk test was applied to test whether the distribution of age at surgical intervention deviated significantly from the normal distribution (P < 0.05). Age at surgical explant of BCC and SCC samples localized within ERS versus nERS and between ERS was compared by the nonparametric 2-sided Wilcoxon rank-sum test and by the Kruskal–Wallis test, respectively. The presence of statistically significant differences in terms of gender distribution between tumors within ERS versus nERS was evaluated by the 2-sided Fisher’s exact test for count data (when comparing gender distribution between ERS, P values were simulated by imposing 1,000,000 Monte Carlo replicates). The probability of tumors in BCC versus SCC sites was compared by the Pearson χ2 test and by logistic regression. The significance threshold was set to P < 0.05. Statistical analyses were performed by the R statistical software v.3.5.1 (www.r-project.org).
RESULTS
Cohort Characteristics
A total number of 1,000 BCC samples from 811 patients and 165 SCC samples from 136 patients were analyzed. The main characteristics of the analyzed sample are reported in Table 1.
Table 1.
Characteristics of the Analyzed Sample
BCC
SCC
Tumors
1,000
165
Patients
811
136
Gender
Men
554 (55.40%)
95 (57.58%)
Women
446 (44.60%)
70 (42.42%)
Age (years)
74 (65–80)
82 (76–86)
Data are presented as counts (frequency, %) or median (25th–75th percentiles).
Characteristics of the Analyzed SampleData are presented as counts (frequency, %) or median (25th–75th percentiles).
Distribution of BCC and SCC tumors
Figure 5, Figure 6, and Table 2 report the distribution of BCC and SCC samples by ERS and nERS.
Fig. 5.
Tumors distribution by ERS.
Fig. 6.
Tumors distribution by non-embryologically relevant sites.
Table 2.
Embryologically Relevant Sites (ERS): Specific Sites Distribution
Distribution
BCC TumorsN (%)
SCC TumorsN (%)
Within ERS/total tumors
931/1,000 (93.10)*
115/165 (69.70)*
By specific ERS/total within ERS
Cleft 0
44 (4.73)
4 (3.48)
Cleft 1–2
177 (19.01)
20 (17.39)
Cleft 3
196 (21.05)
14 (12.17)
Cleft 4
49 (5.26)
2 (1.74)
Cleft 5
43 (4.62)
4 (3.48)
Cleft 6
21 (2.26)
0 (0.00)
Cleft 7
77 (8.27)
8 (6.96)
Cleft 8
74 (7.95)
10 (8.70)
Cleft 9
50 (5.37)
12 (10.43)
Cleft 10
39 (4.19)
9 (7.83)
Cleft 11
24 (2.58)
2 (1.74)
Cleft 12
11 (1.18)
0 (0.00)
Cleft 13
8 (0.86)
5 (4.35)
Cleft 14
35 (3.76)
0 (0.00)
Cleft 30
0 (0.00)
2 (1.74)
Anterior neck midline (A.N.M.)
2 (0.21)
0 (0.00)
Laterocervical line (L.L.)
45 (4.83)
5 (4.35)
HM-FP
6 (0.64)
3 (2.61)
FEFH-FP
30 (3.22)
15 (13.04)
By specific nERS/total within nERS
Forehead
13 (18.84)
4 (8.00)
Cheek
23 (33.33)
20 (40.00)
Chin
5 (7.25)
1 (2.00)
Upper lip
4 (5.80)
0 (0.00)
Lower lip
2 (2.90)
7 (14.00)
Neck
2 (2.90)
1 (2.00)
Eyelid
0 (0.00)
0 (0.00)
Nose
1 (1.45)
1 (2.00)
Ear
19 (27.54)
16 (32.00)
*P value given by the exact binomial test < 0.001.
Site, analyzed site; tumors distribution, count and frequency (%) of BCC and SCC tumors by site. FEFH-FP, fee ear fold-hyoid fusion plane; HM-FP, hyoid-mandibular fusion plane.
Embryologically Relevant Sites (ERS): Specific Sites Distribution*P value given by the exact binomial test < 0.001.Site, analyzed site; tumors distribution, count and frequency (%) of BCC and SCC tumors by site. FEFH-FP, fee ear fold-hyoid fusion plane; HM-FP, hyoid-mandibular fusion plane.Tumors distribution by ERS.Tumors distribution by non-embryologically relevant sites.▪ Of the 1,000 BCC samples analyzed, 931 (93.10%) were distributed within ERS, the remaining 69 (6.90%) derived from nERS: the proportion of BCC in ERS was significantly higher than 50%, the proportion of BCC localized in ERS expected by chance (95%, CI 91.35%–94.59%, P < 0.001) (Table 2).▪ The proportion of BCC tumors from men and women was equally localized between ERS and nERS (P = 0.059), while unbalanced among specific ERS (P = 0.004) and nERS (P = 0.046) (Table 3).
Table 3.
BCC Tumors: Gender and Age Distribution by Site
BCC Tumors
P
AgeMedian (IQR)
P
Gender
Women
Men
Overall
0.059
0.115
Within ERS
423 (94.84)
508 (91.70)
74 (65–80)
Within nERS
23 (5.16)
46 (8.30)
76 (68–83)
By ERS
0.004*
< 0.001#
Cleft 0
18 (4.26)
26 (5.12)
73 (63–77.25)
Cleft 1–2
77 (18.2)
100 (19.69)
75 (67–81)
Cleft 3
107 (25.3)
89 (17.52)
70 (58–79)
Cleft 4
24 (5.67)
25 (4.92)
72 (64–79)
Cleft 5
25 (5.91)
18 (3.54)
71 (65–81.5)
Cleft 6
10 (2.36)
11 (2.17)
74 (65–81)
Cleft 7
32 (7.57)
45 (8.86)
76 (69–83)
Cleft 8
29 (6.86)
45 (8.86)
75 (69.25–80.75)
Cleft 9
21 (4.96)
29 (5.71)
75.5 (60–80.75)
Cleft 10
12 (2.84)
27 (5.31)
71 (55–76)
Cleft 11
10 (2.36)
14 (2.76)
73 (63.75–80.75)
Cleft 12
8 (1.89)
3 (0.59)
69 (60–76)
Cleft 13
5 (1.18)
3 (0.59)
74 (62.25–79)
Cleft 14
22 (5.20)
13 (2.56)
76 (70–83)
Cleft 30
0 (0.00)
0 (0.00)
—
Anterior neck midline (A.N.M.)
1 (0.24)
1 (0.20)
69 (68–70)
Laterocervical line (L.L.)
14 (3.31)
31 (6.10)
77 (72–80)
HM-FP
1 (0.24)
5 (0.98)
75 (68.75–82)
FEFH-FP
7 (1.65)
23 (4.53)
78 (73.25–84)
By nERS
0.046*
0.603
Forehead
6 (26.09)
7 (15.22)
72 (66–76)
Cheek
10 (43.48)
13 (28.26)
75 (69–83)
Chin
1 (4.35)
4 (8.70)
68 (66–78)
Upper lip
2 (8.70)
2 (4.35)
83 (72.25–88.25)
Lower lip
2 (8.70)
0 (0.00)
82.5 (80.75–84.25)
Neck
0 (0.00)
2 (4.35)
76.5 (70.25–82.75)
Eyelid
0 (0.00)
0 (0.00)
—
Nose
0 (0.00)
1 (2.17)
75 (75–75)
Ear
2 (8.70)
17 (36.96)
77 (72.5–81.5)
*P < 0.05; #P < 0.001. Gender analyses: Women, count (%) of women with BCC in a specific site; men, count (%) of men with BCC in a specific site. Age analyses: site, median (25th–75th percentiles) of age distribution in specific sites.
▪ The median age at surgical intervention for BCC was not different when localized in ERS compared to nERS (P = 0.115) but differed among specific ERS (P < 0.001) (Table 3).▪ Of the 165 SCC samples analyzed, 115 (69.70%) were distributed within ERS, the remaining 50 (30.30%) derived from nERS: the proportion of SCC in ERS was significantly higher than 50%, the proportion of SCC localized in ERS expected by chance (95% CI, 62.07%–76.60%, P < 0.001) (Table 2).▪ SCC tumors analyzed were more likely to be localized in ERS when deriving from women than from men (78.57% versus 63.16%, P = 0.040). Gender distribution was significantly different also across ERS localizations (P < 0.001) and nERS (P = 0.003) (Table 4).
Table 4.
SCC Tumors: Gender and Age Distribution by Site
SCC Tumors
P
AgeMedian (IQR)
P
Gender
Women
Men
Overall
0.040*
0.376
Within ERS
55 (78.57)
60 (63.16)
82 (76–87.5)
Within nERS
15 (21.43)
35 (36.84)
81 (77–85)
By ERS
< 0.001#
0.225
Cleft 0
3 (5.45)
1 (1.67)
78.5 (76.75–81)
Cleft 1–2
15 (27.27)
5 (8.33)
83.5 (78.75–86)
Cleft 3
9 (16.36)
5 (8.33)
80 (69–83.75)
Cleft 4
2 (3.64)
0 (0.00)
85 (84.5–85.5)
Cleft 5
2 (3.64)
2 (3.33)
82.5 (81.75–85)
Cleft 6
0 (0.00)
0 (0.00)
—
Cleft 7
4 (7.27)
4 (6.67)
76.5 (70.75–86.5)
Cleft 8
4 (7.27)
6 (10.00)
87 (80–92.25)
Cleft 9
8 (14.55)
4 (6.67)
86.5 (83.25–91)
Cleft 10
3 (5.45)
6 (10.00)
79 (74–89)
Cleft 11
1 (1.82)
1 (1.67)
83 (81.5–84.5)
Cleft 12
0 (0.00)
0 (0.00)
—
Cleft 13
2 (3.64)
3 (5.00)
83 (79–91)
Cleft 14
0 (0.00)
0 (0.00)
—
Cleft 30
0 (0.00)
2 (3.33)
76.5 (75.75–77.25)
Anterior neck midline (A.N.M.)
0 (0.00)
0 (0.00)
—
Laterocervical line (L.L.)
1 (1.82)
4 (6.67)
71 (71–78)
HM-FP
1 (1.82)
2 (3.33)
78 (78–79)
FEFH-FP
0 (0.00)
15 (25.00)
83 (75.5–87)
By nERS
0.003*
0.518
Forehead
1 (6.67)
3 (8.57)
82.5 (80–86.25)
Cheek
10 (66.67)
10 (28.57)
81 (77.5–84)
Chin
0 (0.00)
1 (2.86)
68 (68–68)
Upper lip
0 (0.00)
0 (0.00)
—
Lower lip
3 (20.00)
4 (11.43)
83 (78–87)
Neck
0 (0.00)
1 (2.86)
77 (77–77)
Eyelid
0 (0.00)
0 (0.00)
—
Nose
1 (6.67)
0 (0.00)
73 (73–73)
Ear
0 (0.00)
16 (45.71)
81.5 (77–86)
*P < 0.05; #P < 0.001. Gender analyses: Women, count (%) of women with SCC in a specific site; men, count (%) of men with SCC in a specific site. Age analyses: site, median (25th–75th percentiles) of age distribution in specific sites.
▪ The median age at surgical intervention for SCC was not different when localized in ERS compared to nERS (P = 0.376) neither among ERS (P= 0.225) nor among nERS (P = 0.518) (Table 4).BCC Tumors: Gender and Age Distribution by Site*P < 0.05; #P < 0.001. Gender analyses: Women, count (%) of women with BCC in a specific site; men, count (%) of men with BCC in a specific site. Age analyses: site, median (25th–75th percentiles) of age distribution in specific sites.FEFH-FP, free ear fold-hyoid fusion plane; HM-FP, hyoid-mandibular fusion plane.SCC Tumors: Gender and Age Distribution by Site*P < 0.05; #P < 0.001. Gender analyses: Women, count (%) of women with SCC in a specific site; men, count (%) of men with SCC in a specific site. Age analyses: site, median (25th–75th percentiles) of age distribution in specific sites.FEFH-FP, free ear fold-hyoid fusion plane; HM-FP, hyoid-mandibular fusion plane.The probability of tumors within ERS was significantly higher for BCC compared to SCC (93.10% versus 69.70%, P < 0.001), with BCCs having a 5-fold increase in the probability of occurring in ERS compared to SCCs adjusting for age and gender (odds ratio = 5.32, 95% CI, 3.43–8.25, P < 0.001).
DISCUSSION
The carcinogenic role of UV radiation has long been demonstrated within the NMSCs.[1] Acute and chronic exposure to UV radiation promotes a deregulated proliferation of skin cells through genomic changes in all of the 3 stages of photo-carcinogenesis initiation, promotion, and progression.[18] Besides the direct molecular damage, the carcinogenic effects of UV radiation are also related to immune system impairment yielding to survival and proliferation of abnormal cells and oncogenic viruses.[7] The well-known carcinogenic effect of arsenic exposure, too, is attributable to immunosuppression through a direct action on lymphocytes including chromosomal and DNA abnormalities, decreased T-cell receptor activation, and the cellular status of oxidation and methylation.[6]Similarly, the carcinogenic effects of chronic trauma, impaired wound healing and X-ray exposure are related to molecular damage of nucleic acids.[2-5]A favorite distribution of several skin proliferative diseases along embryological migration pathways has long been referred to the so-called Blaschko lines, supposed to trace the migration of embryonic cells.[19,20] Recently, an increased tumor density was demonstrated within the embryonic fusion plane of the face.[21]Our research group already provided evidence of a correlation between the sites of onset of BCCs and both the head and neck congenital clefts and the embryological fusion planes of the auricle.[8,9]The present study demonstrated that NMSCs display a significantly increased likelihood of onset in the ERS of the head and neck, with a preference for the anatomical sites most frequently affected by congenital clefts, as the Tessier’s clefts numbers 1, 2, and 3. Nevertheless, within the NMSC group, a relevant difference was appreciated between BCCs and SCCs as the former tumor demonstrated a 5-fold likelihood of onset on an ERS versus the latter. Such a prevalence is likely to be related to the BCC’s specific anatomical-pathological features, making BCC a unique and sui generis tumor.Since 1948, BCC has been proposed as a “nevoid” tumor derived from pluripotential, dormant embryonal cells that somehow become activated later in life.[22] Actually, BCCs constantly preserve the basic feature of adnexal primordia in the skin, established by stroma-associated proliferating epithelia.[23,24]Therefore, as highlighted by Pinkus, BCC should be differentiated from other pure epithelial malignancies featuring a cancer transformation of individual epithelial cells progressing to a typical stroma-dissociated invasiveness.[25] This BCC’s basic fibro-epithelial organized interdependent growth might be rather explained as a monstrous attempt at adnexogenesis in postnatal life, thus directing the question for pathogenesis to embryogenesis.Recently, the time-honored hypothesis of a dysembryogenic pathogenesis of BCC was further supported by the evidence of an aberrant reactivation of the Hedgehog pathway in the development of a number of human malignancies including BCCs with relevant therapeutic innovations.[26-29] Furthermore, anomalies in the Hedgehog signaling pathway were also demonstrated to play a relevant role in congenital craniofacial disease.[30,31]In our experience, within the ERS, SCCs demonstrated a preference for the area superior and lateral to the orbit, corresponding to the Tessier’s clefts numbers 8, 9, 10, and 13, while, within the embryologically nonrelevant sites (nERS), they preferably affected the auricle, the cheek and the lower lip. In the latter site, the etiology has long been related to the long-term exposure to oncogenic substances.[18] In the auricle and cheek, being sites with highest sun exposure, UV radiation undoubtedly plays the main role inducing DNA alterations, through genetic dysregulation of thymine dimers, N-ras oncogene, and p53 tumor suppressor gene.[32]Our study correlated the sites of onset of NMSC with the currently most credited and universally accepted mapping of the ERS of the head and neck. Undoubtedly, a more comprehensive understanding of the interaction between dysontogenic and environmental factors in the pathogenesis of NMSC would be allowed by the correlation of our sample with a most accurate and universally credited mapping of the UV exposure of the head and neck, too. The currently available mapping of the different degrees of sun exposure in the head and neck do not provide the suitable level of accuracy, thus preventing the equally accurate double check between the embryologically and the environmentally relevant sites (Fig. 7).[33,34]
The anatomical sites corresponding to the embryonic fusion planes might host areas of cellular instability where a process yielding to the development of an NMSC might take place. The chance of a BCC to develop within an ERS is 5-fold higher than an SCC. The environmental UV exposure plays a relatively main role versus dysontogenetic factors in the pathogenesis of SCC.
Authors: Vicki Metzis; Andrew D Courtney; Markus C Kerr; Charles Ferguson; Maria C Rondón Galeano; Robert G Parton; Brandon J Wainwright; Carol Wicking Journal: Hum Mol Genet Date: 2013-07-29 Impact factor: 6.150