Introduction
Melanoma is a highly aggressive form of skin cancer characterized by a propensity for early metastasis, resulting in
the highest mortality rate among skin cancers (2.7 deaths per
100,000) [1,2]. With its incidence reaching 22.0 per 100,000 in
2018 and an average increase of 1.2% per year since 2009, reducing mortality in patients with melanoma has become a top
priority [2,3]. The advent of immune checkpoint inhibitors has
transformed adjuvant therapy for patients with metastatic melanoma. PD-1 inhibitor therapy with nivolumab or pembrolizumab has become the standard adjuvant treatment for patients
with resected stage III and stage IV melanoma [4,5]. However,
the decision to initiate adjuvant care for patients with low-stage
(I-II) melanoma is more complex. Despite lower staging, stage
IIA-IIC melanomas still have a 12-25% 10-year mortality rate
[6]. Standard of care for these patients consists of a wide locaexcision with margins according to lesion Breslow depth, with
sentinel lymph node biopsy being offered to all medically suitable candidates with intermediate thickness melanomas or low
thickness melanomas with ulceration and/or high mitotic figures [7]. Some patients are then considered candidates for adjuvant therapy to prevent recurrence. Recently the Keynote 716
trial demonstrated that in resected stage IIB or IIC melanoma,
pembrolizumab treatment decreased rates of recurrence from
24% to 15% compared to placebo [8]. However, immune checkpoint inhibitors carry the risk of serious side effects including
pneumonitis, pancreatitis, myelitis, colitis, thyroiditis, and
severe skin reactions [8,9]. In the same trial, 16% of patients
receiving pembrolizumab had a Grade [3] or greater adverse
reaction, compared to 4% in the placebo arm [8]. Additionally,
most patients on placebo did not see a recurrence in their melanoma without treatment, indicating if the entire IIB-IIC population were to be treated in the adjuvant setting we would be
overtreating roughly 70% of patients. Given the risk of serious
adverse events and the relatively small reduction in recurrence
risk, it remains unclear which stage II melanoma patients should
receive adjuvant anti-PD1 therapy. Identifying a subpopulation
of early stage melanoma patients at higher risk for progression
could spur future trials testing immunotherapy or other interventions specifically within this group. Several histopathological
prognostic predictors for low-stage melanoma are currently utilized including lesion ulceration, thickness, mitotic rate, neutrophil count, microsatellites, and tumor-infiltrating lymphocyte
(TIL) status [10,13]. Ulceration is an independent risk factor for
decreased overall survival and is included in staging [10]. Nonhistopathological prognostic factors may also be used to inform
decisions to start adjuvant therapy. Molecular analyses, like the
Decision Dx-Melanoma assay, have been increasingly utilized;
however, their prognostic ability varies by stage and is not reliable in predicting recurrence for low-stage melanoma patients
[14]. This test additionally is limited by lack of ability to monitor for recurrence longitudinally and may incur significant costs
for the patient, highlighting the need for alternative predictors
to stratify low-stage patients. Circulating tumor-DNA is another
tool being investigated to assess prognosis in metastatic melanoma, but its use in deciding initial treatment remains limited
[15]. In this retrospective chart review, we analyzed patients
with stage I-II melanoma at our institution between 2010-2022
to determine independent variables associated with progression-free survival within readily available pathology reports. We
hypothesized that absent TIL status would be associated with
worse progression-free survival since the adaptive immune response is critical for anti-tumor response in melanoma [9,16].
Evidence already exists that TIL may be a useful tool for assessing risk in thicker tumors, but there are ambiguous results when
thin and radial growth melanomas are included [17]. Herein,
we evaluate the prognostic value of commonly reported histopathologic findings in biopsy and surgical pathology specimens
for stage I-II melanoma patients to identify higher-risk patients
that may benefit from closer follow-up or early intervention.
Methods
Study design: This was a retrospective cohort study aimed to
determine the prognostic value of biopsy findings for progression free survival in early stage cutaneous melanoma. Patients
with an initial stage I and II melanoma diagnosis between 2010-2022, defined using the American Joint Committee on Cancer’s
clinical prognostic grouping criteria, with available biopsy and
surgical pathology reports were included in the study. Patients
before 2010 were excluded because our institution implemented the electronic health record in 2010, so records prior to 2010
were either not available or were formatted significantly differently. Exclusion criteria included melanoma in situ, stage III or IV
melanoma, and non-cutaneous melanoma.
Patient population: The medical record number of patients
were initially identified using the following billing codes: ICD9 172, ICD-10 C43, and CPT 11600-11606, 11620-11624, or
11640-11646 (Table 1). Our institution’s Integrated Data Repository identified 5291 patients meeting these criteria and provided medical record numbers. Each patient’s chart was reviewed
by study members to determine if the patient had at least one
confirmed diagnosis of melanoma, regardless of stage, along
with both a biopsy pathology report and a surgical pathology
report. Patients whose medical records were incomplete or did
not have both pathologic reports were excluded. Of the initial
5291 patients, 236 patients had both biopsy and surgical pathology reports available. After excluding patients with a diagnosis
prior to 2010, 227 patients remained. This group was further
stratified by stage, including only Stages I (IA and IB) and 2 (II2A,
IIB, and IIC) according to American Joint Committee on Cancer’s
8th edition on clinical prognostic grouping for melanoma, resulting in 69 patients [18,19]. Additionally, 1 patient did not have
recurrence information or death status available, so this patient
was excluded yielding a final study population of 68. All patients
in this cohort were managed with wide local excision of their
tumor. Patients were only treated with systemic therapy if they
progressed and systemic therapy became indicated.
Variables collected: Patient demographics, biopsy pathologic findings, surgical pathologic features, and other clinical
characteristics were collected from each record. This data was
recorded and stored on the our institution’s REDCap, a secure
web platform for building and managing online databases. Tumor infiltrating lymphocyte (TIL) status at biopsy was reported
as preset-brisk, present-non brisk, and absent. We analyzed this
variable considering all 3 categories and also as present (both
brisk and non-brisk) vs absent where indicated in the Results
section. Mitotic rate was recorded as >1 or <1. The primary
outcome was progression-free survival (PFS). Progression was
defined as either melanoma recurrence or death by any cause.
Patients were censored after their last documented encounter,
including either phone call or office visit with any provider, in
the medical record.
Statistical analysis: Descriptive statistics such as mean and
standard deviation (SD) and range, were reported for continuous variables, and frequency (%) for categorical variables. Two
group comparisons were conducted using Wilcoxon rank sum
exact tests for continuous data and Fisher’s exact tests for categorical data. A Firth’s logistic regression model was used to
determine biopsy variables associated with residual melanoma
at the time of surgical excision. We employed a backward selection approach to create a parsimonious model and applied
Firth’s logistic regression to mitigate bias in estimates, given
the limited sample size. Kaplan-Meier progression-free survival
curves and log-rank tests were used to evaluate ulceration and
presence of tumor-infiltrating lymphocyte (TIL) status at biopsy. Multivariable Cox proportional hazards model in combination
with backward elimination method on preselected variables,
was used to determine variables associated with progressionfree survival.
Results
Patient characteristics: Characteristics and descriptive statistics of the final study population are shown in Table 2. Overall
there were 13 (19.1%) patients that progressed and 55 (80.9%)
that did not. The average age of patients at diagnosis was 64
years with a standard deviation of 14.1 years. There was a trend
towards increased age in the progression group but this did
not reach statistical significance (68.2 vs 62.6, p=0.305). There
were 44 (64.7%) males and 24 (35.3%) females in the study, and
these proportions were consistent between the group that progressed and did not (p=0.355). The overall distribution of TIL
status was 10 (16.1%) absent, 7 (11.3%) present-brisk, and 45
(72.6%) present-non brisk. TIL status did not significantly differ between the 2 groups (p=0.132). There was no significant
difference in the percentage of involvement of deep margins
(83.3% vs 64.8%, p=0.311) and peripheral margins on biopsy
(63.6% vs 48.1%, p=0.509) between patients that did and did
not progress. Of note, all patients that progressed did not have
tumor regression identified on biopsy pathology (100% vs
81.6%, p=0.332) and a mitotic rate >1 (100% vs 72%, p=0.052)
but these did not meet the threshold of statistical significance.
Mean depth of tumor on biopsy was significantly increased in
the progression group (4.2 vs 2.2, p=0.008). Tumor ulceration
was significantly increased in the progression group (83.3% vs
35.2%, p=0.003). Only 2 patients with type of biopsy reported
had a punch biopsy, so the effect of biopsy type could not be
evaluated (p>0.999).
Biopsy findings associated with residual melanoma on wide
local excision: We first sought to identify variables of interest
from the biopsy pathology report associated with whether there
would be residual melanoma at the time of wide local excision.
Of the 67 patients whose surgical pathology report identified
presence or absence of residual melanoma, 31 (46.3%) did not
have residual melanoma and 36 (53.7%) did. The 10 variables
listed in Table 3 were used as predictors in a univariable Firth
logistic regression model. Of these, only involvement of the
deep margins at biopsy was a significant predictor of residual
melanoma at the time of surgery (Odds ratio 4.12, p=0.009).
This finding coincided with the results in a backward elimination multivariable Firth logistic model.
Ulceration is associated with worse progression free survival: There is extensive literature demonstrating that ulceration
carries a poor prognosis in cutaneous melanoma. We generated
a Kaplan-Meier progression free survival (PFS) curve stratified
by ulceration to verify that our study population recapitulates
this finding. As expected, our results indicated that the presence of ulceration at biopsy was associated with significantly
worse PFS (p=0.002) than the lack of ulceration (Figure 1). The
5-year PFS for non-ulcerated patients was 72.7% while only
47.9% for ulcerated patients.
Absent tumor infiltrating lymphocytes is associated with
worse progression free survival: Next, we sought to investigate
the prognostic value of TIL status on PFS in stage I and II melanoma patients. We initially generated a Kaplan-Meier PFS curve
stratifying patients by TILs present (both brisk and non-brisk)
and TILs absent (Figure 2). Absence of TILs was associated with
significantly worse PFS (p=0.044). 5-year PFS was 78.2% for the
TILs present group and only 33.3% for the TILs absent group. It
should be noted that only 10 patients in our study had absent
TILs.
We then performed a similar analysis but stratified TIL status
by present-brisk, present-non brisk, and absent (supplementary
information). Because the majority of patients had present-non
brisk TILs (n=45, 72.6%), we could not identify a significant difference between these groups. Univariable Cox-proportional
hazard models were generated for the biopsy variables listed
in Table 4. Tumor depth and ulceration were the only statistically significant predictors with hazard ratios of 1.12 (95% CI
[1.00-1.25], p=0.050) and 7.43 (95% CI [1.62-34.0], p=0.010) respectively. While absence of lymphocytes had a trend towards
increased hazard ratio (3.44 95% CI [0.98-12.1]) it did not meet
the threshold for statistical significance in a univariable model
(p=0.054). To confirm that presence/absence of TILs was an independent prognostic factor for PFS, we generated a multivariable Cox-proportional hazards model using ulceration, tumor
thickness, and absence of TILs as predictors (Table 4). Ulceration and absence of TILs were the only variables associated
with significantly worse PFS. In this model, the hazard ratio for
ulceration was 16.1 (95% CI [2.60-99.5], p=0.003). For absence
of TILs the hazard ratio was 9.45 (95% CI [1.99-44.8], p=0.005).
This indicates that patients with an ulcerated lesion at biopsy
had a 16.1x greater risk of disease progression. Patients with
absent TILs at biopsy had a 9.5x greater risk of disease progression compared to those with TILs present
Table 1: Table depicting patient selection process.
N |
Selection criteria |
5,291 |
UF Integrated Data
Repository filtered with
ICD-9 172, ICD-10 C43, CPT
11600-11606, 11620-11624, or
11640-11646
|
236 |
Corresponding dermatology
pathology and surgical
pathology reports available
|
227 |
Year of diagnosis after 2010
|
69 |
Patient diagnosed with Stage
I or II malignant cutaneous
melanoma
|
68 |
Recurrence information or
date of death available
|
Abbreviations: ICD: International classification of diseases; CPT: Current procedural terminology.
Table 2: Table depicting patient selection process.
Characteristic
|
Overall (n=68) |
Progression (n=13) |
No Progression (n=55) |
p-value |
Mean Age at Diagnosis (SD)
|
63.7 (14.1) |
68.2 (14.1) |
62.6 (14.0) |
0.305 |
Mean Depth of Tumor, mm (SD)
|
2.5 (3.1) |
4.2 (4.0) |
2.2 (2.8) |
0.008 |
Sex |
Female |
24 |
3 (23.1%) |
21 (38.2%) |
0.355 |
Male |
44 |
10 (76.9%) |
34 (61.8%) |
Ulceration |
No |
37 |
2 (16.7%) |
35 (64.8%) |
0.003 |
Yes |
29 |
10 (83.3%) |
19 (35.2%) |
Lymphocyte status
|
Present-non brisk |
45 |
6 (54.5%) |
39 (76.5%) |
0.126 |
Present-brisk |
7 |
1 (9.1%) |
6 (11.8%) |
Absent |
10 |
4 (36.4%) |
6 (11.8%) |
Mitotic Rate
|
<1 |
14 |
0 (0.0%) |
14 (28.0%) |
0.052 |
>1 |
48 |
12 (100.0%) |
36 (72.0%) |
Tumor Regression
|
No |
48 |
8 (100.0%) |
40 (81.6%) |
0.332 |
Yes |
9 |
0 (0.0%) |
9 (18.4%) |
Deep Margins Involved
|
No |
21 |
2 (16.7%) |
19 (35.2%) |
0.311 |
Yes |
45 |
10 (83.3%) |
35 (64.8%) |
Peripheral Margins Involved
|
No |
31 |
4 (36.4%) |
27 (51.9%) |
0.509 |
Yes |
32 |
7 (63.6%) |
25 (48.1%) |
Type of Biopsy
|
Punch |
2 |
0 (0.0%) |
2 (3.9%) |
>0.999 |
Shave |
62 |
13 (100.0%) |
49 (96.1%) |
Abbreviations: ICD: International classification of diseases; CPT: Current procedural terminology.
Table 3: Variable associated with residual melanoma at surgical excision using a univariable Firth logistic model and a selected multivariable Firth logistic model. Involvement of deep margins was the only statistically significant predictor of residual
melanoma at the time of surgery in the univariable model, and it was identified using backward elimination method.
Characteristic |
|
N |
Odds Ratio |
95% CI |
p-value |
Age at Diagnosis |
|
67 |
1.00 |
0.97, 1.03 |
0.932 |
Depth of Tumor (mm) |
|
66 |
1.05 |
0.91, 1.28 |
0.494 |
Sex |
Female |
23 |
- |
- |
- |
Male |
44 |
1.84 |
0.68, 5.11 |
0.230 |
Ulceration |
No |
37 |
- |
- |
- |
Yes |
28 |
0.85 |
0.32, 2.25 |
0.749 |
Lymphocyte status
|
Present |
51 |
- |
- |
- |
Absent |
10 |
0.89 |
0.24, 3.36 |
0.862 |
Mitotic Rate
|
<1 |
14 |
- |
- |
- |
>1 |
47 |
0.87 |
0.26,2.78 |
0.810 |
Tumor Regression
|
No |
47 |
- |
- |
- |
Yes |
9 |
1.08 |
0.27,4.47 |
0.914 |
Deep Margins Involved
|
No |
21 |
- |
- |
|
Yes |
44 |
4.12 |
1.42, 13.1 |
0.009 |
Peripheral Margins Involved
|
No |
31 |
- |
- |
- |
Yes |
31 |
2.14 |
0.80, 5.92 |
0.132 |
Type of Biopsy
|
Punch |
2 |
|
- |
- |
Shave |
61 |
0,24 |
0.00, 3.05 |
0.293 |
Multivariable logistic model
|
Characteristic |
N |
Odds Ratio |
95% Cl |
p-value |
|
Deep Margins Involved
|
No |
21 |
- |
- |
|
Yes |
44 |
4.12 |
1.42, 13.1 |
0.009 |
P-values < 0.05 were considered statistically significant and are bolded.
Table 4: Hazards models. Some patients did not have all variables reported in their biopsy. The multivariable Cox-pro-
portional hazard model identified lymphocyte status and ulceration as significantly associated with PFS while tumor depth
was not statistically significant in this model.
Univariable Cox-proportional
hazards models for
progression-free survival
|
Characteristic |
|
N |
Hazard Ratio |
95% CI |
p-value |
Age at Diagnosis |
|
68 |
1.02 |
0.98, 1.07 |
0.259 |
Depth of Tumor, mm |
|
67 |
1.12 |
1.00, 1.25 |
0.050 |
Sex |
Female |
24 |
- |
- |
|
Male |
44 |
1.47 |
0.40,5.34 |
0.560 |
Ulceration |
No |
37 |
- |
- |
|
Yes |
29 |
7.43 |
1.62,34.0 |
0.010 |
Lymphocyte status Present
|
52 |
- |
- |
|
|
Absent |
10 |
3.44 |
0.98, 12.1 |
0.054 |
Deep Margins Involved
|
No |
21 |
- |
- |
|
Yes |
45 |
2.36 |
0.52,10.8 |
0.268 |
Peripheral Margins Involved
|
No |
31 |
- |
- |
|
Yes |
32 |
1.14 |
0.32, 4.08 |
0.836 |
Multivariable
Cox-proportional hazards
models for progression-free
survival
|
Characteristic |
|
N |
Hazard Ratio |
95% CI |
p-value |
Depth of Tumor, mm |
|
62 |
1.06 |
0.93, 1.21 |
0.368 |
Ulceration |
No |
36 |
- |
|
|
Yes |
26 |
16.1 |
2.60, 99.5 |
0.003 |
Lymphocyte status
|
Present |
52 |
- |
- |
|
Absent |
10 |
9.45 |
1.99, 44.8 |
0.005 |
P-values < 0.05 were considered statistically significant and are bolded.
Discussion
In this single institution, retrospective study we identified an
association of involvement of deep margins at biopsy with residual melanoma at the time of wide local excision. Ulceration and
absence of TILs at biopsy for stage I and II melanoma patients
were independently associated with increased risk for disease
progression. Notably, the hazard ratio for absence of TILs was
[9] using the best Cox-proportional hazards model, suggesting that patients with absent TILs have a 9x increased risk of
progression relative to patients with present TILs. That is over
half the hazard ratio for ulceration, which is a well-established
risk factor incorporated into staging, found by the same model.
While the number of absent TIL patients in our study was small,
the magnitude of the effect suggests it warrants further study.
The recent Keynote-716 study suggests that some lower
stage melanoma patients could benefit from early adjuvant
immunotherapy [8]. The identification of absent TILs could be
used as a readily available indicator of high-risk disease in stage
I-II patients who may be more likely to benefit from early intervention. The caveat is that commonly used immunotherapies rely on lymphocytic infiltration for clinical efficacy [20,22].
Thus, patients with absent TILs may also be resistant to immune
checkpoint inhibitors, which in part could explain their worse
overall prognosis. An alternative approach is to consider absent TILs indicative of a “cold” melanoma. Though melanoma is
conventionally considered a “hot” tumor, patients with absent
TILs may benefit from strategies that convert immunologically
“cold” tumors to “hot” [23]. Incorporating agents that boost immune infiltration into the tumor are likely essential for these
patients to benefit from immunotherapy. Zakharia et al combined indoximod, an indoleamine 2,3-dioxygenase inhibitor
(IDO) inhibitor, with pembrolizumab in patients with advanced
melanoma, resulting in an objective response rate of 51% [24].
IDO depletes tryptophan from the extracellular environment,
and increased expression of IDO has been shown to decrease
T cell infiltration in colorectal cancer [25]. The TLR-7/8 agonist
imiquimod has been demonstrated to increase T cell infiltration and activation for squamous cell carcinoma of the skin
[26]. Imiquimod has also been used for melanoma-in-situ with
positive margins with an estimated 95% resolution of residual melanoma-in-situ [27]. Case series suggest that imiquimod
stimulates T cell infiltration in the context of melanoma-in-situ
[28], raising the possibility that imiquimod could improve the
outcomes of patients with absent TILs on biopsy. Imiquimod
is well tolerated with few side effects and warrants consideration as neoadjuvant treatment for early stage melanomas [29].
Treatment with agents like imiquimod to enhance T cell tumor
infiltration, either as monotherapy or in combination with immunotherapy, may improve outcomes in stage I and II patients
with absent TILs. Our study k8 has several limitations. A major
limitation is the small sample size (68 patients), which is further
compounded by missing data from some biopsy reports (Table
2). Furthermore, the relatively small sample size prevented us
from evaluating associations between lymphocyte status and
response to immunotherapy in patients that recurred. Despite
this limitation, our results suggest absent lymphocytes and ulceration identify early stage melanoma patients at higher risk
for progression and should be confirmed in a larger study. To do
this, we are expanding the scope of this retrospective study to
include all evaluable patients within a clinical research database
available at our institution. This larger, multi-institutional study
could elucidate whether absent lymphocyte status predicts tumor resistance to immune checkpoint inhibitors in early stage
patients. Like all retrospective studies, our analysis identifies
associations, but we cannot infer causal relationships. Additionally, this study only analyzes patients seen at the an academic
tertiary care center. Cheraghlou et al. demonstrated that treatment for early stage melanoma at hospitals with an academic
affiliation or high-volume is associated improved survival compared to those treated at non-academic or low-volume centers
[30]. A prospective study treating patients with imiquimod after
wide local excision would determine 1) if absent TIL status can
be reversed pharmacologically and 2) whether recruitment of
TILs improves progression free survival in early stage melanoma
patients.
Declarations
Author contributions: KM contributed to conceptualization, study design, data collection, data interpretation, manuscript writing and review. TE, VA, and EM contributed to data
collection, data interpretation and manuscript writing. ZG and
JHL performed statistical analyses and manuscript review. BD
contributed to conceptualization, study design, data interpretation, manuscript writing, and manuscript review. All authors
approved the final version of the manuscript for submission.
Data availability: The de-identified datasets generated during and/or analysed during the current study are available from
the corresponding author (BD) on reasonable request.
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