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. Author manuscript; available in PMC: 2017 Apr 1.
Published in final edited form as: JAMA Dermatol. 2016 Apr 1;152(4):419–428. doi: 10.1001/jamadermatol.2015.4994

Risk Factors for Cutaneous Squamous Cell Carcinoma Outcomes: A Systematic Review and Meta-analysis

Agnieszka K Thompson 1, Benjamin F Kelley 1, Larry J Prokop 1, M Hassan Murad 1, Christian L Baum 1
PMCID: PMC4833641  NIHMSID: NIHMS749845  PMID: 26762219

Abstract

Importance

Magnitude of association and quality of evidence for cutaneous squamous cell carcinoma (cSCC) and risk factors for outcomes have not been reviewed and analyzed systematically.

Objective

Review and systematically analyze all published data on risk factors for recurrence, metastasis, and disease-specific death (DSD) of cSCC.

Data Sources

Comprehensive medical literature search from each database’s inception to May 14, 2015.

Study Selection

Inclusion criteria were studies with ≥10 patients, comparative data for ≥1 cSCC risk factors, and an outcome of interest. Exclusion criteria were noncutaneous squamous cell carcinoma (SCC), anogenital SCC, inability to extract cSCC data from other malignancy data, SCC in situ, Marjolin tumor, and genetic disorders predisposing to cSCC.

Data Extraction and Synthesis

Two reviewers independently abstracted the data. Meta-analysis used the random effects model. Risk of bias was assessed through Newcastle-Ottawa Scale.

Main Outcomes and Measures

A priori outcomes were recurrence, metastasis, and DSD.

Results

Thirty-six studies (17,248 patients with 23,421 cSCCs) were included. Statistically significant risk factors for recurrence were Breslow >2 mm (risk ratio [RR] [95% CI], 9.64 [1.30–71.52]), invasion beyond subcutaneous fat (7.61 [4.17–13.88]), Breslow >6 mm (7.13 [3.04–16.72]), perineural invasion (PNI) (4.30 [2.80–6.60]), diameter >20 mm (3.22 [1.91–5.45]), location on temple (3.20 [1.12–9.15]), and poor differentiation (2.66 [1.72–4.14]). Statistically significant risk factors for metastasis were invasion beyond subcutaneous fat (RR [95% CI], 11.21 [3.59–34.97]); Breslow >2 mm (10.76 [2.55–45.31]); Breslow >6 mm (6.93 [4.02–11.94]); diameter >20 mm (6.15 [3.56– 10.65]); poor differentiation (4.98 [3.30–7.49]); PNI (2.95 [2.31–3.75]); location on temple (2.82 [1.72–4.63]), ear (2.33 [1.67–3.23), and lip (RR [1.54–3.37]); and immunosuppression (1.59 [1.07–2.37]). Factors for DSD were diameter >20 mm (RR [95% CI], 19.10 [5.80–62.95]), poor differentiation (5.65 [1.76–18.20]), location on ear (4.67 [1.28–17.12]) and lip (4.55 [1.41–14.69]), invasion beyond subcutaneous fat (4.49 [2.05–9.82]), and PNI (4.06 [3.10–5.32]). Evidence quality was considered low to moderate.

Conclusions and Relevance

Tumor depth is associated with highest RR of local recurrence and metastasis of cSCC; tumor diameter ≥20 mm is associated with highest risk of DSD. Unified, consistent collection and reporting of risk factors in a prospective, multicentered effort are needed to further understand the increasing cSCC.

Grade of Evidence

2A. Quality of Evidence: Level B.

Keywords: cutaneous squamous cell carcinoma, meta-analysis, outcomes

Introduction

Cutaneous squamous cell carcinoma (cSCC) is the second most common malignancy of the skin, with an estimated annual incidence of 700,000 in the United States.1,2 Most cases of cSCC portend an excellent prognosis following surgical removal.3 However, 3.7% to 5.2% of patients have nodal metastasis and 1.5% to 2.1% die of cSCC.48 Although these rates are relatively low compared with many other malignancies, the absolute number of cSCC patients who have nodal metastasis is estimated at 5,604 to 12,572 in the United States alone.1 Furthermore, the absolute number of cSCC-related deaths is estimated between 3,932 to 8,791 annually, the upper limit of which approaches annual melanoma-related deaths.1 The absence of a national tumor registry for cSCC complicates the analysis of prognostic factors related to outcomes on a broad scale. Thus, the current understanding of prognostic factors is based primarily on retrospective analyses of single-institution cohorts with heterogeneously reported data. The purpose of the present study was to perform a systematic review and meta-analysis of all published reports of cSCC risk factors and outcomes, to quantify the magnitude of each risk factor and the quality of the supporting data.

Methods

The study was deemed exempt by the Mayo Clinic Institutional Review Board.

Literature Search

A comprehensive and systematic search of Ovid Medline In-Process and Other Non-Indexed Citations, MEDLINE, EMBASE, Cochrane Central Register of Controlled Trials, Cochrane Database of Systematic Reviews, and Scopus was performed from each database’s earliest inception to May 14, 2015, by an experienced librarian (L.J.P.), with input from the study’s principle investigator (C.L.B.) and lead author (A.K.T.). Controlled vocabulary supplemented with keywords was used to search for studies of risk factors in cSCC and association with outcomes. The search strategy is outlined in eTable (online supplement). Bibliographies of selected review articles were reviewed for additional relevant studies. Only studies on human data, published or translated into English, were included.

Eligibility Criteria

Inclusion criteria were studies of ≥10 patients with cSCC that reported comparative data associating at least 1 defined risk factor (ie, depth of invasion; perineural invasion [PNI]; diameter; location on lip, ear, temple, or cheek; tumor differentiation; and immunosuppression) and an outcome of interest (ie, recurrence, nodal metastasis, and disease-specific death [DSD]).

Exclusion criteria for the studies included any of the following: squamous cell carcinoma (SCC) in situ, noncutaneous SCC, anogenital SCC, cSCC data that could not be extracted from data on other malignancies (eg, basal cell carcinoma, melanoma), cSCC in patients with genetic disorders that predispose to cSCC (eg, xeroderma pigmentosa), cSCC arising in scar tissue (Marjolin tumor), and an outcome of interest present at study initiation. No limitations were imposed on the basis of treatment modality.

Data Abstraction

Two reviewers (A.K.T. and B.F.K.) independently selected studies on the basis of inclusion and exclusion criteria. Disparities in selection were resolved through discussion and ultimately by a third reviewer (C.L.B.). Studies were initially reviewed on the basis of title and abstract; those deemed relevant were reviewed in full text to establish the final set of studies ultimately included. In cases of study duplicity, the more recent and complete studies were selected for inclusion. From these studies, data were abstracted in duplicate (A.K.T. and B.F.K.) to verify accuracy.

Risk of Bias Assessment

Risk of bias assessment was analyzed for each article by 2 investigators (A.K.T. and B.F.K.) using the Newcastle-Ottawa Scale.9 We considered that the most important factor in determining the risk of bias was the ability of a study to adjust for confounders (ie, other risk factors) using multivariate adjustment.

Statistical Analysis

From each study, we extracted or estimated the risk ratio (RR) (presented as hazard ratio [HR] or odds ratio [OR]) for each risk factor and outcome of interest, with 95% CI. Various association measures were assumed to be comparable statistically. Multivariate estimates were preferentially extracted when available. Meta-analysis was performed with the random effects model,10 reporting RR (95% CI). The I2 statistic11 also was calculated to measure inconsistency; a value >50% implied substantial heterogeneity (ie, difference in the estimates derived from each study). Forest plots were constructed for all associations of risk factor and outcome. Analysis was conducted through statistical software (Comprehensive Meta-Analysis, Version 3.0; Biostat).

Results

Literature Search

Database search identified 1,156 publications and meeting abstracts. After initial review of abstracts and titles, 1,034 records were excluded (Figure 1). The other 122 studies were reviewed in full text, and ultimately, 36 studies were included in our analysis.

Figure 1.

Figure 1

Flow Diagram of Preferred Reporting Items for Systematic Reviews and Meta-analyses for the Systematic Literature Search. RF indicates risk factor.

Study Characteristics and Meta-analysis

The 36 studies described 23,421 cSCCs in 17,248 patients; 5 were prospective cohort studies and 31 were retrospective studies. No randomized trials were identified. The number of patients in the included studies ranged from 41 to 6,164 (Table 1).

Table 1.

Study Characteristics

First Author,
Year
Study
Years
Location Study
Type
No. of
Patients
No. of
cSCCs
RF
Addressed
Outcomes Inclusion
Criteria
Follow-up Data
Dinehart and
Pollack, 198912
1979–1988 North Carolina,
single
institution
Retrospective
cohort of
consecutive
cSCC
365 365 Location Metastasis Biopsy-proven cSCC;
treated with Mohs
Mean (range), 1.7 y
(2 mo–7.8 y)
Dormand et al,
201013
1997–2004 United Kingdom,
single
institution
Retrospective
cohort of limb
cSCC
243 517 Differentiation Metastasis Biopsy-proven cSCC;
extremities only
Mean (range), 6.2
(4–22) y
Goepfert et al,
198414
1970–1979 Texas, single
institution
Retrospective
cohort of
consecutive
cSCC
520 967 PNI Recurrence,
metastasis,
DSD
Biopsy-proven cSCC 98% of patients had
minimum follow-
up of 2 y
Quaedvlieg et al,
200615
1982–2002 Netherlands,
single
institution
Retrospective
case-control of
metastatic
cSCC
580 915 Differentiation, PNI,
location
Metatasis Using PALGA registry
in Netherlands;
contained all
registered cSCC in
University Hospital;
biopsy proven
At least 3 y of
follow-up; mean
(range), 5.7
(0.25–21) y
Brantsch et al,
20084
1990–2001 Germany, single
institution
Prospective
cohort of cSCC
615 615 Depth, diameter,
location,
differentiation,
immunosuppression
Recurrence,
metastasis
Biopsy-proven cSCC Median (range), 43
(1–165) mo
Brinkman et al,
201416
2001–2008 Netherlands,
single
institution
Retrospective
cohort of cSCC
131 155 Differentiation Metastasis,
DSD
Biopsy-proven cSCC;
treated with surgical
excision
Median (range), 81
(27–125) mo
Brougham et al,
20125
1997–2007 New Zealand,
regional NMSC
database
Retrospective
cohort of cSCC
6,164 8,997 Location, PNI,
differentiation
Metastasis Biopsy-proven cSCC Minimum, 30-mo
follow-up; mean
(SD) 71 (25) mo;
median (range),
70 (31–121) mo
Eroğlu et al,
199617
1980–1989 Turkey, single
institution
Retrospective
cohort of cSCC
1,039 1,039 Location, diameter,
differentiation
Recurrence Biopsy-proven cSCC Median (range), 28
(6–149) mo
Faustina et al,
200418
1952–2000 Texas, single
institution
Retrospective
cohort of
periocular
cSCC
111 111 PNI Metastasis Biopsy-proven cSCC;
periocular only
Median (range),
76.6 (6–484) mo
Gonzalez et al,
201419
1990–2012 Argentina, single
institution
Retrospective
cohort of
head/neck
cSCC
434 434 Location, diameter,
differentiation
Recurrence,
metastasis
Biopsy-proven cSCC;
treated with Mohs
Mean (range), 56.9
(10–251) mo
Griffiths et al,
200220
1990–1995 United Kingdom,
single
institution
Retrospective
cohort of
consecutive
cSCC
157 157 Location Metastasis,
DSD
Biopsy-proven cSCC 93 patients had 5-y
follow-up
Pugliano-Mauro
et al, 201021
1996–2006 Vermont, single
institution
Retrospective
cohort of high-
risk cSCC
215 260 Location, PNI Metastasis Biopsy-proven high-
risk cSCC, including
recurrent tumors;
treated with Mohs
Mean, 3.9 y
Immerman et al,
198322
1970–1980 Illinois, single
institution
Retrospective
cohort of
consecutive
cSCC
86 86 Differentiation Recurrence Biopsy-proven cSCC Mean (range), 4.5 y
(6 mo–10 y)
Karia et al, 20146 2000–2009 Massachusetts,
single
institution
Retrospective
cohort of
consecutive
cSCC
974 1,818 Location, diameter,
depth,
differentiation,
immunosuppression
Recurrence,
metastasis,
DSD
Biopsy-proven cSCC;
excluded SCCIS,
recurrent SCC,
eyelid/anogenital
SCC
Median (range), 50
(2–142) mo
Mehrany et al,
200523
1988–1999 Minnesota, single
institution
Retrospective
case-control of
cSCC in CLL
patients
142 171 Differentiation,
immunosuppression
Recurrence Biopsy-proven cSCC;
treated with Mohs
Mean, 3.3 y;
median (range),
2.6 (0.04–13.7) y
Metchnikoff et
al, 201224
2001–2010 California, single
institution
Retrospective
cohort of
consecutive
cSCC in
heart/lung
transplant
recipients
41 225 Diameter,
differentiation, PNI
Recurrence Biopsy-proven cSCC
in heart/lung
transplant recipients
Median (range),
15.2 mo (6 d–9 y)
Moore et al,
200525
1996–2001 Texas, single
institution
Prospective
cohort of head
and neck cSCC
193 193 Location,
differentiation,
depth, PNI
Metastasis Biopsy-proven
head/neck cSCC
Median (range), 20
(3.3–70) mo
Mourouzis et al,
20097
2000–2002 United Kingdom,
single
institution
Retrospective
cohort of cSCC
194 218 Location,
differentiation
Metastasis Biopsy-proven cSCC
of the head and neck;
treated with excision
Monitored for 3 y;
range, 30–60 mo
Mullen et al,
200626
1994–2004 Texas, single
institution
Retrospective
cohort of
trunk/extremity
cSCC
136 149 Diameter,
differentiation
Recurrence Biopsy-proven cSCC Median, 2.4 y
Peat et al, 201227 1996–2001 New Zealand,
single
institution
Retrospective
case control of
cSCC
170 170 Differentiation, PNI Metastasis Biopsy-proven cSCC Follow-up, 5 y
Schmults et al,
20138
2000–2009 Massachusetts,
single
institution
Retrospective
cohort of
consecutive
cSCC
985 1,832 Location, PNI Recurrence,
metastasis,
DSD
Biopsy-proven cSCC;
excluded SCCIS,
recurrent SCC
Median (range), 50
(2–142) mo
Toll et al, 201228 2001–2010 Spain, 6 tertiary
care hospitals
Retrospective
case control of
cSCC
101 101 Differentiation, PNI Metastasis Biopsy-proven cSCC;
metastatic group vs
nonmetastatic control
group
Mean, 24 mo
Baker et al,
200129
1990–1995 United Kingdom,
single
institution
Retrospective
cohort of
head/neck
cSCC
183 227 Location Regional
metastasis
Biopsy-proven cSCC Minimum follow-
up, 2 y
Cherpelis et al,
200230
1988–1998 South Carolina,
single
institution
Retrospective
cohort of cSCC
200 200 Location, diameter,
differentiation, PNI
Metastasis Biopsy-proven cSCC;
treated with Mohs
Range, 6 mo–10 y
Clayman et al,
200531
1996–2001 Texas, single
institution
Prospective
cohort of cSCC
210 277 Depth, PNI DSD Biopsy-proven cSCC Median (range), 22
(2–72) mo
Kyrgidis et al,
201032
1996–2006 Greece, single
institution
Prospective
cohort of
head/neck
cSCC
315 315 Depth, differentiation,
PNI
DSD Biopsy-proven cSCC Mean (range), 46.7
(12–124) mo
Leibovitch et al,
200533
1993–2002 Australia,
multicenter
Prospective
cohort of cSCC
with PNI
1,177 1,177 PNI Recurrence Biopsy-proven cSCC;
treated with Mohs
621 patients were
lost to follow-up;
5-y follow-up
Roozeboom et
al, 201334
2005–2007 Netherlands,
single
institution
Retrospective
cohort of
consecutive
cSCC
224 224 Location, depth,
differentiation, PNI
Recurrence,
metastasis
Biopsy-proven cSCC Median (range), 43
(0–73) mo
Pereira and
Morgado,
199435
1983–1993 Portugal, single
institution
Retrospective
cohort of cSCC
43 43 Diameter Recurrence Biopsy-proven cSCC;
treated with ED&C
followed by
cryotherapy
Minimum follow-
up, 4 y
Harwood et al,
200636
1995–1997 United Kingdom,
single
institution
Retrospective
case control of
cSCC in OTR
65 100 Immunosuppression Recurrence,
metastasis
Biopsy-proven primary
cSCC;
immunocompromised
group (OTR) with
immunocompetent
control group
Follow-up,10 y
Friedman et al,
198537
1965–1975 Virginia, single
institution
Retrospective
cohort of cSCC
63 71 Depth, differentiation Recurrence,
DSD
Biopsy-proven cSCC Range, 8–18 y
Breuninger et al,
199038
Not
specified
Germany, single
institution
Retrospective
cohort of cSCC
571 673 Location, diameter,
differentiation,
depth
Metastasis Biopsy-proven cSCC Mean (range), 6 (1-
12) y
Krediet et al,
201539
2005–2009 Germany, single
institution
Retrospective
cohort of
consecutive
cSCC
143 143 Location, diameter,
differentiation,
immunosuppression
Recurrence,
metastasis
Biopsy-proven cSCC
treated with excision
Minimum, 24 mo
Wermker et al,
201540
2005–2011 Germany, single
institution
Retrospective
cohort of
consecutive
cSCC of ear
353 353 Diameter, depth,
differentiation, PNI,
immunosuppression
Metastasis Biopsy-proven cSCC
of external ear;
treated surgically
Minimum, 6 mo;
mean (range),
43.3 (6–98) mo
Vasconcelos et
al, 201441
1999–2003 Brazil, single
institution
Retrospective
cohort of
head/neck
cSCC
61 79 Differentiation, PNI Recurrence Biopsy-proven cSCC
of head/neck; treated
surgically
Median (range), 5
(2–7) y
Stein and Tahan,
199442
1960–1991 Massachusetts,
single
institution
Retrospective
cohort of lip
cSCC
44 44 Differentiation, depth Metastasis Biopsy-proven cSCC
of lip
Median (range), 53
(5–212) mo

Abbreviations: CLL, chronic lymphocytic leukemia; cSCC, cutaneous squamous cell carcinoma; DSD, disease-specific death; ED&C, electrodesiccation and curettage; Mohs, Mohs micrographic surgery; OTR, organ transplant recipient; PALGA, Pathological Anatomy National Automated Archive; PNI, perineural invasion; SCC, squamous cell carcinoma; SCCIS, squamous cell carcinoma in situ.

Analyzed risk factors and their respective associations with outcomes of recurrence, metastasis, and DSD are outlined in Figure 2, with corresponding RRs, 95% CIs, P values, I2 statistics, and forest plot. Risk factors associated with statistically significant increased risk of recurrence were Breslow >2 mm (RR [95% CI], 9.64 [1.30– 71.52]), invasion beyond subcutaneous fat (RR [95% CI], 7.61 [4.17–13.88]), Breslow >6 mm (RR [95% CI], 7.13 [3.04–16.72]), presence of PNI (RR [95% CI], 4.30 [2.80–6.60]), diameter >20 mm (RR [95% CI], 3.22 [1.91–5.45]), location on the temple (RR [95% CI], 3.20 [1.12–9.15]), and poor differentiation (RR [95% CI], 2.66 [1.72–4.14]).

Figure 2.

Figure 2

Summary of Risk Factors and Outcome Associations for cSCC. cSCC indicates cutaneous squamous cell carcinoma; PNI, perineural invasion.

Statistically significant risk factors for metastasis were invasion beyond subcutaneous fat (RR [95% CI], 11.21 [3.59–34.97]); Breslow >2 mm (RR [95% CI], 10.76 [2.55–45.31]); Breslow >6 mm (RR [95% CI], 6.93 [4.02–11.94]); diameter >20 mm (RR [95% CI], 6.15 [3.56–10.65]); poor differentiation (RR [95% CI], 4.98 [3.30– 7.49]); presence of PNI (RR [95% CI], 2.95 [2.31–3.75]); location on the temple (RR [95% CI], 2.82 [1.72–4.63]), ear (RR [95% CI], 2.33 [1.67–3.23]), and lip (RR [95% CI], 2.28 [1.54–3.37]); and immunosuppression (RR [95% CI], 1.59 [1.07–2.37]).

Several of the risk factors showed statistically significant association with DSD: diameter >20 mm (RR [95% CI], 19.10 [5.80–62.95]), poor differentiation (RR [95% CI], 5.65 [1.76–18.20]), location on the ear (RR [95% CI], 4.67 [1.28–17.12]) and lip (RR [95% CI], 4.55 [1.41–14.69]), invasion beyond subcutaneous fat (RR [95% CI], 4.49 [2.05–9.82]), and presence of PNI (RR [95% CI], 4.06 [3.10–5.32]).

Study Quality

Scores from the Newcastle-Ottawa Scale are provided in Table 2, with risk assessments for each study. Six studies (16.7%) were deemed to have low risk of bias due to presence of multivariate data; the other 30 studies were of high or unclear risk due to lack of adjustment for confounding variables. The number of studies for each risk factor ranged from 1 to 15. Risk factor and outcome associations are outlined in Figure 2, which visually depicts them in a forest plot.

Table 2.

Newcastle-Ottawa Scalea Scoring of Studies in the Meta-analysis

Author, Year Study Type Selection Comparability Exposure/
Outcome
Assessment of
Risk
Dinehart and Pollack, 198912 Cohort of consecutive SCC cases *** ** ** High/unclear
Dormand et al, 201013 Cohort of limb SCC cases *** * *** High/unclear
Goepfert et al, 198414 Cohort of consecutive SCC cases **** * *** High/unclear
Quaedvlieg et al, 200615 Case control of metastatic SCC **** * ** High/unclear
Brantsch et al, 20084 Cohort of SCC cases (prospective) **** ** *** High/unclear
Brinkman et al, 201416 Cohort of SCC cases **** * *** Low
Brougham et al, 20125 Cohort of SCC cases **** ** ** Low
Eroğlu et al, 199617 Cohort of SCC cases *** ** *** High/unclear
Faustina et al, 200418 Cohort of periocular SCC cases *** * ** High/unclear
Griffiths et al, 200220 Cohort of consecutive SCC cases **** ** *** High/unclear
Pugliano-Mauro et al, 201021 Cohort of high-risk SCC cases *** * *** High/unclear
Immerman et al, 198322 Cohort of consecutive SCC cases **** ** *** High/unclear
Karia et al, 20146 Cohort of consecutive SCC cases **** ** *** Low
Mehrany et al, 200523 Case control **** ** ** High/unclear
Metchnikoff et al, 201224 Cohort of consecutive heart/lung
transplant SCC
**** ** ** High/unclear
Moore et al, 200525 Cohort of SCC (prospective) *** * ** High/unclear
Mourouzis et al, 20097 Cohort of excised SCC **** ** ** High/unclear
Mullen et al, 200626 Cohort of trunk/extremity SCC **** ** *** High/unclear
Peat et al, 201227 Case control **** ** *** High/unclear
Schmults et al, 20138 Cohort of SCC cases **** ** *** Low
Toll et al, 201228 Case control **** ** *** Low
Baker et al, 200129 Cohort of SCC **** ** ** High/unclear
Cherpelis et al, 200230 Cohort of SCC **** ** ** High/unclear
Clayman et al, 200531 Cohort of SCC (prospective) **** ** ** High/unclear
Kyrgidis et al, 201032 Cohort of consecutive SCC cases
(prospective)
**** ** *** High/unclear
Leibovitch et al, 200533 Cohort of PNI (prospective) *** * ** High/unclear
Roozeboom et al, 201334 Cohort of consecutive SCC cases **** ** ** High/unclear
Pereira and Morgado, 199435 Cohort of SCC *** * * High/unclear
Harwood et al, 200636 Case control of cSCC in organ
transplant recipients
**** * ** High/unclear
Friedman et al, 198537 Cohort of SCC **** ** *** High/unclear
Breuninger et al, 199038 Cohort of SCC **** ** ** High/unclear
Gonzalez et al, 201419 Cohort of consecutive head/neck
SCC cases
*** * *** Low
Krediet et al, 201539 Cohort of consecutive cSCC **** ** ** High/unclear
Wermker et al, 201540 Cohort of consecutive cSCC of ear **** * *** High/unclear
Vasconcelos et al, 201441 Cohort of head/neck cSCC **** ** *** High/unclear
Stein and Tahan, 199442 Cohort of cSCC of lip **** * *** High/unclear

Abbreviations: cSCC, cutaneous squamous cell carcinoma; PNI, perineural invasion; SCC, squamous cell carcinoma.

a

Possible scores are 0–4 asterisks for selection, 0–2 asterisks for comparability, and 0–3 asterisks for exposure/outcome, regarding risk of bias,

*

with indicating a low score

****

indicating the highest score.

Discussion

The meta-analysis of these data provides a quantitative value for each risk factor–outcome association. The pooled data for the majority of these risk factors showed a statistically significant association with the outcomes of interest; however, some previously reported risk factors for each outcome did not have a statistically significant association. Since the publication of the frequently cited report of cSCC outcomes by Rowe et al43 in 1992, several other studies have contributed to this body of knowledge. Most recently, staging systems have been proposed for the purpose of stratifying patients by outcomes. These include the American Joint Committee on Cancer (AJCC), Seventh Edition,44 Union for International Cancer Control (UICC),45 and Brigham and Women’s Hospital (BWH) staging systems,46 summarized in Table 3. Although the BWH system was developed on the basis of a single institution’s experience, the AJCC and UICC are based on expert consensus. The present meta-analysis summarizes the entire body of data on these previously reported risk factors. Therefore, our data provide, to our knowledge, the most comprehensive review of previously reported risk factors for cSCC related to outcomes of local recurrence, metastasis, and DSD.

Table 3.

Summary of the AJCC, UICC, and BWH Tumor (T) Staging Systems

Tumor Staging
System
Definition
AJCC
      T1 Tumor ≤2 cm in greatest dimension, with <2 high-risk factorsa
      T2 Tumor >2 cm in greatest dimension or with ≥2 high-risk factorsa
      T3 Tumor with invasion of orbit, maxilla, mandible, or temporal bones
      T4 Tumor with invasion of other bones or direct perineural invasion of skull base
UICC
      T1 Tumor ≤2 cm in greatest dimension
      T2 Tumor >2 cm in greatest dimension
      T3 Tumor with invasion of deep structures (eg, muscle, cartilage, bone [excluding axial skeleton], orbit)
      T4 Tumor with invasion of axial skeleton or direct perineural invasion of skull base
BWH
      T1 0 high-risk factorsb
      T2a 1 high-risk factor
      T2b 2–3 high-risk factors
      T3 ≥4 high-risk factors or bone invasion

Abbreviations: AJCC, American Joint Committee on Cancer; BWH, Brigham and Women’s Hospital; T, tumor stage from TNM staging system; UICC, International Union Against Cancer.

a

AJCC high-risk factors include >2 mm thickness, Clark level ≥IV, perineural invasion, primary site ear, primary site non-hair-bearing lip, or poorly differentiated histology.

b

BWH high-risk factors include tumor diameter ≥2 cm, poorly differentiated histologic findings, perineural invasion ≥0.1 mm, and tumor invasion beyond fat (excluding bone invasion, which automatically upgrades tumor to BWH T3).

Adapted from Karia et al.6 Used with permission.

Local Recurrence

Optimal management of cSCC is predicated on local tumor control because local recurrence is often the first indicator of aggressive biologic behavior.3,47 In our analysis, tumor depth, recorded as Breslow thickness (mm) or anatomic depth, was associated with the greatest RR of local recurrence. The highest-quality comparative data on Breslow depth was from Brantsch et al,4 one of the few prospective datasets in this analysis. The staging system reported in the AJCC Seventh Edition,44 for cSCC includes both Breslow depth >2 mm and Clark level ≥4 as high-risk characteristics. Meanwhile, the largest dataset describing anatomic depth was a retrospective analysis by Karia et al.6 In that study, depth was measured by anatomic depth rather than Breslow depth, with tumor depth beyond subcutaneous fat considered a high-risk characteristic. Although it is reassuring that the significance of tumor depth is verified through distinct methods of measure, the absence of a uniform measure and reporting together contribute to data heterogeneity and ambiguity for the clinician.

The theoretical advantage of Breslow depth measurement is the ability to perform refined analysis of data on a continuous numerical variable. From a practical perspective, however, measurement of Breslow depth is limited by time and the abundant frequency of transected shave biopsy specimens. Defining depth on the basis of the anatomic depth, such as an invasion beyond subcutaneous fat, simplifies the objective measure assessed in both horizontally and vertically sectioned tissue specimens. If adopted as a standard, the parameters for relation to anatomic structures, such as depth/invasion beyond subcutaneous fat, will require strict unambiguous definition.

PNI was associated with the greatest RR of local recurrence after tumor depth. As with tumor depth, the reporting of PNI was also heterogeneous. Several articles reported PNI as a binary variable, whereas others6,48 also analyzed on the basis of the diameter of the involved nerve. For the purpose of the present study, PNI was analyzed as a binary variable, including 6 articles, and was associated with an RR of local recurrence (RR [95% CI], 4.30 [2.80–6.60]; P <.01).8,14,24,33,34,41 A report by Karia et al6 also indicated that the RR increases with the size of the involved nerve, with RR (95% CI) of regional recurrence for nerves <0.1 mm in diameter of 5.6 (2.0–15.9) (P=.001) compared with nerves ≥0.1 mm in diameter (RR [95% CI], 10.4 [4.4–24.7]; P<.001). Interestingly, the AJCC Seventh Edition staging system for cSCC44 includes PNI as a binary variable for high risk, whereas the BWH staging system includes PNI as a risk factor when the involved nerve is ≥0.1 mm in diameter. As with tumor depth, the uniform definition and reporting of PNI are areas of critical need.

In descending order of RR, tumor diameter, location on the temple, and poor differentiation were associated with local recurrence. A cutoff of 20 mm was used for tumor diameter since it is uniformly included in the AJCC Seventh Edition staging system, the UICC staging system, and the BWH staging system. Although 4 studies in the analysis did show statistical significance,6,17,24,35 the prospective data from Brantsch et al4 did not find an association between diameter and recurrence on multivariate analysis; however, a statistically significant increase in risk was noted on univariate analysis (HR [95% CI], 3.47 [1.89–6.39]; P<.0001). Tumor location on the temple, although not part of the AJCC, UICC, or BWH staging system,44 was associated with a higher risk of recurrence (RR [95% CI], 3.20 [1.1–9.0]; P=.03) than tumor location on either lip or ear, albeit this finding was based on a single, but relatively large, retrospective analysis by Schmults et al.8 Poor differentiation also was found to have statistically significant association with recurrence (RR [95% CI], 2.66 [1.72–4.14]; P<.01), based on pooled data from 11 studies.4,6,17,19,2224,34,37,39,41

Surprisingly, location on the lip or ear and immunosuppression were not associated with a statistically significant RR of local recurrence in the present meta-analysis. The lip43 and ear6,43 have been reported as risk factors in some studies; however, a sufficient body of data suggests otherwise.4,17,34 Interestingly, both the lip and the ear are included in the AJCC system but not in the UICC and BWH systems. Immunosuppression is a notable item within AJCC but is not included in the staging system, and it is not part of the BWH or UICC staging system.

For the purposes of the present analysis, immunosuppression was included as a general category without further stratification. Although immunosuppression was associated with recurrence in the prospective data by Brantsch et al4 and in certain subsets of well-defined patients, such as those with chronic lymphocytic leukemia,23 the results of these 2 studies were likely offset by other reports that did not stratify on the basis of the type of immunosuppression.6,34,39 Taken together, the data suggest that clarification of the nature of the immunosuppression is critical for understanding the factors that influence local recurrence. Notably, the I2 for location on the lip or the ear and for immunosuppression were increased at 52%, 59%, and 39%, respectively, indicating substantial data inconsistency, which also could contribute to a lack of statistical significance.

Metastasis

The correlation between cSCC risk factors and metastasis was the most well studied and well represented in our meta-analysis. The implications of metastasis are obvious since they generally are associated with poor outcomes.8,49,50 Thus, identifying risk factors associated with metastasis in cSCC is crucial for proper staging and for early identification of high-risk patients. As with local recurrence, tumor depth was associated with the highest RR of metastasis, our study showed, regardless of whether depth is measured as Breslow thickness or anatomic depth. These results are based on a total of 7 studies,4,6,25,34,38,40,42 one of which presents data on both Breslow depth and anatomic depth.38 Interestingly, the RR for metastasis in our analysis was greater for Breslow >2 mm than for Breslow >6 mm. This finding may reflect the absolute number of patients in the studies who had nodal metastases with primary tumor depths of 2 to 6 mm vs the smaller population of patients with the same outcome and a tumor depth >6 mm. Of importance, no patients in the prospective data from Brantsch et al4 had nodal metastasis with a Breslow depth <2 mm. The BWH group found that the anatomic depth associated with metastasis was the depth beyond subcutaneous fat (RR [95%CI], 7.0 [2.4–20.3]; P<.001).6 The practice gaps related to the reporting of depth hold true for association with metastasis and association with local recurrence.

Tumor diameter >20 mm and poor differentiation were associated with similar RRs of 6.15 (95% CI, 3.56–10.65) and 4.98 (95% CI, 3.30–7.49), respectively, for developing metastasis. A total of 8 included studies were based on tumor diameter and metastasis.4,6,19,26,30,3840 Interestingly, the poorly differentiated cSCC and metastasis were the most well-studied association in this analysis, with a total of 18 publications that provided comparative data.47,13,15,16,19,2528,30,34,3840,42

The remaining risk factors associated with increased RR of metastasis in this analysis were PNI (RR [95% CI], 2.95 [2.31–3.75]), location on the temple (2.82 [1.72– 4.63]), location on the ear (2.33 [1.67–3.23]), location on the lip (2.28 [1.54–3.37]), and immunosuppression (1.59 [1.07–2.37]). The relative absence of heterogeneity for these risk factors is reflected in the I2 values of 0%, 6%, 27%, and 0% for location on the temple, ear, and lip and immunosuppression, respectively. It further underscores the association between these risk factors and metastasis. Tumor localization on the temple is not included as a risk factor in the AJCC, UICC, and BWH staging systems. Yet, these results suggest that it might be advisable to categorize this location with the other high-risk anatomic locations, such as ear and lip. Furthermore, a more stratified approach to the specific type of immunosuppression (eg, human immunodeficiency virus infection, solid-organ transplant, chronic lymphocytic leukemia) would afford greater precision in our risk analysis for metastasis in these patients.

Disease-Specific Death

Of all the outcomes, DSD had the least amount of comparative data available for analysis. The risk factor with the highest RR for DSD was a diameter >20 mm (RR [95% CI], 19.10 [5.80–62.95]). However, this conclusion is based solely on 1 study by Karia et al.6 Poor differentiation, location on the ear or the lip, invasion beyond subcutaneous fat, and PNI were associated with a statistically significant increase ranging from 4- to 6-fold, in the RR of DSD. Tumor depth, though significant, was not as highly associated with DSD as with local recurrence and metastasis—likely, a reflection of a paucity of data and the heterogeneity of available studies, reflected in the I2 of 76%. PNI as a risk factor for DSD had an I2 of 0%, reinforcing this association. The single report with the largest dataset related to DSD was from Karia et al.6 In their multivariate analysis, the risk factors with the greatest association to DSD were diameter >20 mm (HR [95% CI], 19.1 [5.8–63.0]; P<.001), invasion beyond subcutaneous fat (HR [95% CI], 11.1 [3.4–35.8]; P<.001), location on the ear (HR [95% CI], 10.1 [1.8–57.0]; P=.008), and poor differentiation (HR [95% CI], 10.0 [3.4–28.9]; P<.001). Only a single study that reported immunosuppression of 143 patients as a risk factor for DSD was included in our analysis, and the authors of that report acknowledged that their study was underpowered to assess prognostic significance.6,8 Given the increasing burden of cSCC and the estimated magnitude of DSD, the results of our analysis further emphasize the need for comprehensive reporting of these phenomena.

Limitations

This analysis was limited by several factors. First, it is possible that there were pertinent studies that were not identified because of inherent limitations in database literature searches. Second, the quality of evidence is limited by data largely derived from single-center experiences and retrospective analyses with heterogeneous data reporting and study design. Third, some included studies that had variable and at times limited follow-up data. However, no eligibility criteria were imposed on the basis of follow-up; rather, such limitations were reflected in the Newcastle-Ottawa scoring (Table 2). Fourth, many of the studies provided unadjusted estimates, and many of the risk factors can plausibly be codependent. Fifth, we included studies in which a small proportion of patients had SCC in the setting of scar, genetic disorder, or anogenital region.

Conclusions

This systematic review and meta-analysis study is, to our knowledge, the largest and most comprehensive study of risk factors related to outcomes for cSCC. These results verify the significance of many previously reported factors while providing a novel, robust quantitative risk for each risk factor and the associated outcomes of local recurrence, metastasis, and death. In the short term, these results may help guide clinicians in their risk assessment of patients, particularly patients with only 1 identified risk factor, while keeping in mind the inherent limitations of the data. In the long term, these results may be used to refine the evolving work on staging systems for cSCC while providing a renewed call to action for data collection. Not only are unambiguous definitions for each risk factor needed, but also a comprehensive, uniform reporting of risk factors and outcomes is needed, to provide optimal care for the increasing number of patients with cSCC in the United States and globally.

Supplementary Material

01

Acknowledgments

Funding/Support: This study was supported in part by Center for Clinical and Translational Science (CCaTS). This publication was supported in part by Clinical and Translational Science Award Grant Number UL1 TR000135 from the National Center for Advancing Translational Science (NCATS). Its contents are solely the responsibility of the authors and do not necessarily represent the official views of the National Institutes of Health.

Funding/Sponsor was involved?
Design and conduct of the study Yes__ No_x_
Collection, management, analysis and interpretation of data Yes__ No_x_
Preparation, review, or approval of the manuscript Yes__ No_x_
Decision to submit the manuscript for publication Yes__ No_x_

Abbreviations

AJCC

American Joint Commission of Cancer

BWH

Brigham and Women’s Hospital

cSCC

cutaneous squamous cell carcinoma

DSD

disease-specific death

HR

hazard ratio

OR

odds ratio

PNI

perineural invasion

RR

risk ratio

SCC

squamous cell carcinoma

UICC

Union for International Cancer Control

Footnotes

A portion of this report’s results was presented at the annual meeting of the American College of Mohs Surgery, San Antonio, Texas, April 30, 2015.

Author Contributions: Drs Thompson and Baum had full access to all of the data in the study and take responsibility for the integrity of the data and the accuracy of the data analysis. Study concept and design: Thompson, Murad, Baum. Analysis and interpretation of data: Thompson, Kelley, Murad, Baum. Drafting of the manuscript: Thompson, Baum. Critical revision of the manuscript for important intellectual content: Thompson, Kelley, Murad, Baum. Statistical analysis: Murad. Obtained funding: Murad. Administrative, technical, or material support: Prokop. Study supervision: Baum.

Financial Disclosure: None reported.

Publisher: To expedite proof approval, send proof via email to scipubs@mayo.edu.

References

  • 1.Karia PS, Han J, Schmults CD. Cutaneous squamous cell carcinoma: estimated incidence of disease, nodal metastasis, and deaths from disease in the United States, 2012. J Am Acad Dermatol. 2013;68(6):957–966. doi: 10.1016/j.jaad.2012.11.037. [DOI] [PubMed] [Google Scholar]
  • 2.Rogers HW, Weinstock MA, Harris AR, et al. Incidence estimate of nonmelanoma skin cancer in the United States, 2006. Arch Dermatol. 2010;146(3):283–287. doi: 10.1001/archdermatol.2010.19. [DOI] [PubMed] [Google Scholar]
  • 3.Alam M, Ratner D. Cutaneous squamous-cell carcinoma. N Engl J Med. 2001;344(13):975–983. doi: 10.1056/NEJM200103293441306. [DOI] [PubMed] [Google Scholar]
  • 4.Brantsch KD, Meisner C, Schonfisch B, et al. Analysis of risk factors determining prognosis of cutaneous squamous-cell carcinoma: a prospective study. Lancet Oncol. 2008;9(8):713–720. doi: 10.1016/S1470-2045(08)70178-5. [DOI] [PubMed] [Google Scholar]
  • 5.Brougham ND, Dennett ER, Cameron R, Tan ST. The incidence of metastasis from cutaneous squamous cell carcinoma and the impact of its risk factors. J Surg Oncol. 2012;106(7):811–815. doi: 10.1002/jso.23155. [DOI] [PubMed] [Google Scholar]
  • 6.Karia PS, Jambusaria-Pahlajani A, Harrington DP, Murphy GF, Qureshi AA, Schmults CD. Evaluation of American Joint Committee on Cancer, International Union Against Cancer, and Brigham and Women’s Hospital tumor staging for cutaneous squamous cell carcinoma. J Clin Oncol. 2014;32(4):327–334. doi: 10.1200/JCO.2012.48.5326. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Mourouzis C, Boynton A, Grant J, et al. Cutaneous head and neck SCCs and risk of nodal metastasis: UK experience. J Craniomaxillofac Surg. 2009;37(8):443–447. doi: 10.1016/j.jcms.2009.07.007. [DOI] [PubMed] [Google Scholar]
  • 8.Schmults CD, Karia PS, Carter JB, Han J, Qureshi AA. Factors predictive of recurrence and death from cutaneous squamous cell carcinoma: a 10-year, single-institution cohort study. JAMA Dermatol. 2013;149(5):541–547. doi: 10.1001/jamadermatol.2013.2139. [DOI] [PubMed] [Google Scholar]
  • 9.Deeks JJ, Dinnes J, D’Amico R, et al. International Stroke Trial Collaborative Group; European Carotid Surgery Trial Collaborative Group. Evaluating non-randomised intervention studies. Health Technol Assess. 2003;7(27):iii–x. 1–173. doi: 10.3310/hta7270. [DOI] [PubMed] [Google Scholar]
  • 10.DerSimonian R, Laird N. Meta-analysis in clinical trials. Control Clin Trials. 1986;7(3):177–188. doi: 10.1016/0197-2456(86)90046-2. [DOI] [PubMed] [Google Scholar]
  • 11.Higgins JP, Thompson SG, Deeks JJ, Altman DG. Measuring inconsistency in meta-analyses. BMJ. 2003;327(7414):557–560. doi: 10.1136/bmj.327.7414.557. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Dinehart SM, Pollack SV. Metastases from squamous cell carcinoma of the skin and lip: an analysis of twenty-seven cases. J Am Acad Dermatol. 1989;21(2 Pt 1):241–248. doi: 10.1016/s0190-9622(89)70168-7. [DOI] [PubMed] [Google Scholar]
  • 13.Dormand EL, Ridha H, Vesely MJ. Long-term outcome of squamous cell carcinoma of the upper and lower limbs. J Plast Reconstr Aesthet Surg. 2010;63(10):1705–1711. doi: 10.1016/j.bjps.2009.10.003. [DOI] [PubMed] [Google Scholar]
  • 14.Goepfert H, Dichtel WJ, Medina JE, Lindberg RD, Luna MD. Perineural invasion in squamous cell skin carcinoma of the head and neck. Am J Surg. 1984;148(4):542–547. doi: 10.1016/0002-9610(84)90385-4. [DOI] [PubMed] [Google Scholar]
  • 15.Quaedvlieg PJ, Creytens DH, Epping GG, et al. Histopathological characteristics of metastasizing squamous cell carcinoma of the skin and lips. Histopathology. 2006;49(3):256–264. doi: 10.1111/j.1365-2559.2006.02472.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Brinkman JN, Hajder E, van der Holt B, Den Bakker MA, Hovius SE, Mureau MA. The effect of differentiation grade of cutaneous squamous cell carcinoma on excision margins, local recurrence, metastasis, and patient survival: a retrospective follow-up study. Ann Plast Surg. doi: 10.1097/SAP.0000000000000110. [published online January 7, 2014] [DOI] [PubMed] [Google Scholar]
  • 17.Eroglu A, Berberoglu U, Berreroglu S. Risk factors related to locoregional recurrence in squamous cell carcinoma of the skin. J Surg Oncol. 1996;61(2):124–130. doi: 10.1002/(SICI)1096-9098(199602)61:2<124::AID-JSO6>3.0.CO;2-E. [DOI] [PubMed] [Google Scholar]
  • 18.Faustina M, Diba R, Ahmadi MA, Esmaeli B. Patterns of regional and distant metastasis in patients with eyelid and periocular squamous cell carcinoma. Ophthalmology. 2005;111(10):1930–1932. doi: 10.1016/j.ophtha.2004.02.009. Erratum in: Ophthalmology. 2005;112(3):446. Gutstein, Brett F [removed] [DOI] [PubMed] [Google Scholar]
  • 19.Gonzalez A, Etchichury D, Creydt MP, Rivero M, Arizmendi CS. Prognostic factors for local recurrence and lymph node metastasis in cutaneous squamous cell carcinoma of the head and neck treated with Mohs surgery. Br J Dermatol: abstracts of the XV World Congress on Cancers of the Skin. 2014;171(s4):59–60. [Google Scholar]
  • 20.Griffiths RW, Feeley K, Suvarna SK. Audit of clinical and histological prognostic factors in primary invasive squamous cell carcinoma of the skin: assessment in a minimum 5 year follow-up study after conventional excisional surgery. Br J Plast Surg. 2002;55(4):287–292. doi: 10.1054/bjps.2002.3833. [DOI] [PubMed] [Google Scholar]
  • 21.Pugliano-Mauro M, Goldman G. Mohs surgery is effective for high-risk cutaneous squamous cell carcinoma. Dermatol Surg. 2010;36(10):1544–1553. doi: 10.1111/j.1524-4725.2010.01576.x. [DOI] [PubMed] [Google Scholar]
  • 22.Immerman SC, Scanlon EF, Christ M, Knox KL. Recurrent squamous cell carcinoma of the skin. Cancer. 1983;51(8):1537–1540. doi: 10.1002/1097-0142(19830415)51:8<1537::aid-cncr2820510830>3.0.co;2-e. [DOI] [PubMed] [Google Scholar]
  • 23.Mehrany K, Weenig RH, Pittelkow MR, Roenigk RK, Otley CC. High recurrence rates of squamous cell carcinoma after Mohs’ surgery in patients with chronic lymphocytic leukemia. Dermatol Surg. 2005;31(1):38–42. doi: 10.1111/j.1524-4725.2005.31006. [DOI] [PubMed] [Google Scholar]
  • 24.Metchnikoff C, Mully T, Singer JP, Golden JA, Arron ST. The 7th edition AJCC staging system for cutaneous squamous cell carcinoma accurately predicts risk of recurrence for heart and lung transplant recipients. J Am Acad Dermatol. 2012;67(5):829–835. doi: 10.1016/j.jaad.2012.01.010. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Moore BA, Weber RS, Prieto V, et al. Lymph node metastases from cutaneous squamous cell carcinoma of the head and neck. Laryngoscope. 2005;115(9):1561–1567. doi: 10.1097/01.mlg.0000173202.56739.9f. [DOI] [PubMed] [Google Scholar]
  • 26.Mullen JT, Feng L, Xing Y, et al. Invasive squamous cell carcinoma of the skin: defining a high-risk group. Ann Surg Oncol. 2006;13(7):902–909. doi: 10.1245/ASO.2006.07.022. [DOI] [PubMed] [Google Scholar]
  • 27.Peat B, Insull P, Ayers R. Risk stratification for metastasis from cutaneous squamous cell carcinoma of the head and neck. ANZ J Surg. 2012;82(4):230–233. doi: 10.1111/j.1445-2197.2011.05994.x. [DOI] [PubMed] [Google Scholar]
  • 28.Toll A, Gimeno-Beltran J, Ferrandiz-Pulido C, et al. D2-40 immunohistochemical overexpression in cutaneous squamous cell carcinomas: a marker of metastatic risk. J Am Acad Dermatol. 2012;67(6):1310–1318. doi: 10.1016/j.jaad.2012.03.007. [DOI] [PubMed] [Google Scholar]
  • 29.Baker NJ, Webb AA, Macpherson D. Surgical management of cutaneous squamous cell carcinoma of the head and neck. Br J Oral Maxillofac Surg. 2001;39(2):87–90. doi: 10.1054/bjom.2000.0584. [DOI] [PubMed] [Google Scholar]
  • 30.Cherpelis BS, Marcusen C, Lang PG. Prognostic factors for metastasis in squamous cell carcinoma of the skin. Dermatol Surg. 2002;28(3):268–273. doi: 10.1046/j.1524-4725.2002.01169.x. [DOI] [PubMed] [Google Scholar]
  • 31.Clayman GL, Lee JJ, Holsinger FC, et al. Mortality risk from squamous cell skin cancer. J Clin Oncol. 2005;23(4):759–765. doi: 10.1200/JCO.2005.02.155. [DOI] [PubMed] [Google Scholar]
  • 32.Kyrgidis A, Tzellos TG, Kechagias N, et al. Cutaneous squamous cell carcinoma (SCC) of the head and neck: risk factors of overall and recurrence-free survival. Eur J Cancer. 2010;46(9):1563–1572. doi: 10.1016/j.ejca.2010.02.046. [DOI] [PubMed] [Google Scholar]
  • 33.Leibovitch I, Huilgol SC, Selva D, Hill D, Richards S, Paver R. Cutaneous squamous cell carcinoma treated with Mohs micrographic surgery in Australia II: perineural invasion. J Am Acad Dermatol. 2005;53(2):261–266. doi: 10.1016/j.jaad.2005.03.048. [DOI] [PubMed] [Google Scholar]
  • 34.Roozeboom MH, Lohman BG, Westers-Attema A, et al. Clinical and histological prognostic factors for local recurrence and metastasis of cutaneous squamous cell carcinoma: analysis of a defined population. Acta Derm Venereol. 2013;93(4):417–421. doi: 10.2340/00015555-1501. [DOI] [PubMed] [Google Scholar]
  • 35.Pereira MF, Morgado MA. Cryosurgery of malignant cutaneous tumours: ten years experience. Skin Cancer. 1994;9(4):179–185. [Google Scholar]
  • 36.Harwood CA, Proby CM, McGregor JM, Sheaff MT, Leigh IM, Cerio R. Clinicopathologic features of skin cancer in organ transplant recipients: a retrospective case-control series. J Am Acad Dermatol. 2006;54(2):290–300. doi: 10.1016/j.jaad.2005.10.049. [DOI] [PubMed] [Google Scholar]
  • 37.Friedman HI, Cooper PH, Wanebo HJ. Prognostic and therapeutic use of microstaging of cutaneous squamous cell carcinoma of the trunk and extremities. Cancer. 1985;56(5):1099–1105. doi: 10.1002/1097-0142(19850901)56:5<1099::aid-cncr2820560524>3.0.co;2-r. [DOI] [PubMed] [Google Scholar]
  • 38.Breuninger H, Black B, Rassner G. Microstaging of squamous cell carcinomas. Am J Clin Pathol. 1990;94(5):624–627. doi: 10.1093/ajcp/94.5.624. [DOI] [PubMed] [Google Scholar]
  • 39.Krediet JT, Beyer M, Lenz K, et al. Sentinel lymph node biopsy and risk factors for predicting metastasis in cutaneous squamous cell carcinoma. Br J Dermatol. 2015;172(4):1029–1036. doi: 10.1111/bjd.13508. [DOI] [PubMed] [Google Scholar]
  • 40.Wermker K, Kluwig J, Schipmann S, Klein M, Schulze HJ, Hallermann C. Prediction score for lymph node metastasis from cutaneous squamous cell carcinoma of the external ear. Eur J Surg Oncol. 2015;41(1):128–135. doi: 10.1016/j.ejso.2014.07.039. [DOI] [PubMed] [Google Scholar]
  • 41.Vasconcelos L, Melo JC, Miot HA, Marques ME, Abbade LP. Invasive head and neck cutaneous squamous cell carcinoma: clinical and histopathological characteristics, frequency of local recurrence and metastasis. An Bras Dermatol. 2014;89(4):562–568. doi: 10.1590/abd1806-4841.20142810. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Stein AL, Tahan SR. Histologic correlates of metastasis in primary invasive squamous cell carcinoma of the lip. J Cutan Pathol. 1994;21(1):16–21. doi: 10.1111/j.1600-0560.1994.tb00685.x. [DOI] [PubMed] [Google Scholar]
  • 43.Rowe DE, Carroll RJ, Day CL., Jr Prognostic factors for local recurrence, metastasis, and survival rates in squamous cell carcinoma of the skin, ear, and lip: implications for treatment modality selection. J Am Acad Dermatol. 1992;26(6):976–990. doi: 10.1016/0190-9622(92)70144-5. [DOI] [PubMed] [Google Scholar]
  • 44.Edge S, Byrd DR, Compton CC, Fritz AG, Greene FL, Trotti A, editors. AJCC Cancer Staging Manual. 7th. New York, NY: Springer-Verlag; 2010. [Google Scholar]
  • 45.Sobin LH, Gospodarowicz MK, Wittekind C, editors. TNM Classification of Malignant Tumours. 7th. Chichester, UK: Wiley-Blackwell; 2010. [Google Scholar]
  • 46.Jambusaria-Pahlajani A, Kanetsky PA, Karia PS, et al. Evaluation of AJCC tumor staging for cutaneous squamous cell carcinoma and a proposed alternative tumor staging system. JAMA Dermatol. 2013;149(4):402–410. doi: 10.1001/jamadermatol.2013.2456. [DOI] [PubMed] [Google Scholar]
  • 47.Dinehart SM, Peterson S. Evaluation of the American Joint Committee on Cancer staging system for cutaneous squamous cell carcinoma and proposal of a new staging system. Dermatol Surg. 2005;31(11 Pt 1):1379–1384. doi: 10.2310/6350.2005.31201. [DOI] [PubMed] [Google Scholar]
  • 48.Carter JB, Johnson MM, Chua TL, Karia PS, Schmults CD. Outcomes of primary cutaneous squamous cell carcinoma with perineural invasion: an 11-year cohort study. JAMA Dermatol. 2013;149(1):35–41. doi: 10.1001/jamadermatol.2013.746. [DOI] [PubMed] [Google Scholar]
  • 49.Schmidt C, Martin JM, Khoo E, Plank A, Grigg R. Outcomes of nodal metastatic cutaneous squamous cell carcinoma of the head and neck treated in a regional center. Head Neck. doi: 10.1002/hed.23843. [published online July 4, 2014] [DOI] [PubMed] [Google Scholar]
  • 50.Weinberg AS, Ogle CA, Shim EK. Metastatic cutaneous squamous cell carcinoma: an update. Dermatol Surg. 2007;33(8):885–899. doi: 10.1111/j.1524-4725.2007.33190.x. [DOI] [PubMed] [Google Scholar]

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