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Since their first approval 25 years ago, monoclonal antibodies (mAbs) have become important targeted cancer therapeutics. However, dermatologic toxicities associated with non-immune checkpoint inhibitor (non-ICI) mAbs may complicate the course of cancer treatment. Data on the incidence and types of these reactions are limited.A comprehensive review was conducted on dermatologic toxicities associated with different classes of non-ICI mAbs approved for treatment of solid tumors and hematologic malignancies. The review included prospective Phase 1, 2, and 3 clinical trials; retrospective literature reviews; systematic reviews/meta-analyses; and case series/reports.Dermatologic toxicities were associated with several types of non-ICI mAbs. Inflammatory reactions were the most common dermatologic toxicities, manifesting as maculopapular, urticarial, papulopustular/acneiform, and lichenoid/interface cutaneous adverse events (cAEs) with non-ICI mAbs. Immunobullous reactions were rare and a subset of non-ICI mAbs were associated with the development of vitiligo cAEs.Dermatologic toxicities of non-ICI mAbs are diverse and mostly limited to inflammatory reactions. Awareness of the spectrum of the histopathologic patterns of cAE from non-ICI mAbs therapy is critical in the era of oncodermatology and oncodermatopathology.

The immunohistochemical (IHC) marker PReferentially expressed Antigen in MElanoma (PRAME) has shown promise in the diagnosis of melanocytic lesions. A few studies have investigated PRAME IHC expression in acral melanomas, but PRAME expression in subungual melanomas is largely unknown. We evaluated the utility of PRAME IHC expression in distinguishing subungual melanomas (SUM) and non-subungual acral melanomas (AM) from acral nevi (AN).Twenty-two SUM, 20 AM, and 14 AN were identified. IHC studies were performed using an anti-PRAME antibody. The percentage of lesional cells with PRAME expression was recorded and categorized as follows: 0%, 0; 1%-25%, 1+; 26%-50%, 2+; 51%-75%, 3+; and75%, 4+. Patient demographics and other relevant clinicopathologic parameters were recorded.Diffuse (4+) PRAME IHC expression was identified in 55% (12/22) SUM and 70% (14/20) AM, respectively. Any PRAME expression (1+ to 4+) was identified in 73% (16/22) SUMs and 95% (19/20) AM, respectively. One of 14 (7%) AN exhibited PRAME expression; interestingly, the pattern of expression was diffuse.In our study, PRAME IHC expression was useful in identifying AM, including SUM. However, there are exceptions of PRAME-negative melanomas and PRAME-positive nevi.

Merkel cell carcinoma (MCC) is an aggressive, highly metastatic, cutaneous neuroendocrine malignancy with poor prognosis. Here, we describe a MCC excision specimen with a rare case of tumor-associated amyloid deposition in the absence of residual tumor cells. A 72-year-old man presented with a lesion of 5-6 months' duration on his left elbow, clinically thought to be a ganglion cyst. The biopsy specimen revealed a Stage IIA MCC with classic histomorphologic and immunophenotypic findings, with tumor extending to the tissue edges. The patient underwent wide local excision with negative margins and a negative sentinel lymph node biopsy. Although the patient did not receive any presurgical chemotherapy, immunotherapy, or targeted therapy, the re-excision specimen showed only amphophilic, feathery deposits that were salmon-pink with Congo red stain and further confirmed as amyloid by electron microscopy; there were no residual carcinoma cells. Amyloid deposition in MCC has been described in rare case reports. Our case was extraordinary in that there was only amyloid deposition and an associated granulomatous reaction, without identifiable MCC cells. This case demonstrates that amyloid deposition may be evidence of a prior MCC at the site of a prior procedure and may warrant careful evaluation for residual MCC.

Figure S1: Nonspecific VE1 immunohistochemical staining in normal tissue Table S1: VE1 immunohistochemistry results in colorectal carcinoma using the Bond method according to BRAF mutation status by sequence analysis Table S2: VE1 immunohistochemistry results in colorectal carcinoma using the Ventana method according to BRAF mutation status by sequence analysis Table S3: Additional molecular analyses of colorectal carcinoma with BRAF wild-type by sequencing and moderate to strong cytoplasmic staining in {greater than or equal to}20% by VE1 immunohistochemistry using the Bond method

PDF - 1060KB, Sorafenib suppresses JNK-dependent apoptosis as assessed by cleaved caspase 3.

PDF - 69KB, In-vitro kinase assays were performed against sorafenib with a staurosporine positive control across a concentration range of 0.5 nM to 10 μM). Blank values are those for which no significant inhibition occurred over the entire concentration range.

Supplemental Figure 1. Representative images of nuclear grade. Histopathologic grade was defined according to the nuclear morphology and cytoplasmic evidence of sebaceous differentiation comprising the predominance (>50%) of the tumor cells. (A) High grade tumors exhibited enlarged irregular nuclei with high nuclear:cytoplasmic ratio and only focal evidence of sebaceous differentiation (intracytoplasmic vacuoles indenting the nucleus; H&E, 200x). (B) Intermediate grade tumors exhibited similar enlarged nuclei but with lower nuclear:cytoplasmic ratio and more obvious evidence of sebaceous differentiation (H&E, 200x). (C) Well-differentiated tumors showed only slightly enlarged nuclei and frank evidence of sebaceous differentiation (H&E, 200x).

Supplemental Figure 1. Correlation between dermal mitotic rate and patient survival. Kaplan-Meier estimate of (A) overall survival and (B) disease-specific survival based on dermal mitotic rate (mitotic figures/mm2). Supplemental Figure 2. Derivation of proposed T-category for Primary Vulvar Melanoma. (A, B, C) We first assigned patients with PVM to a T-category according to the AJCC for PCM (7th Edition). (A) Shows the AJCC schema and the number of patients assigned to each category. (B) Kaplan Meier DSS curves for patients stratified by AJCC T-categories demonstrate robust prognostic differences for patients with PVM and pT1 and to an extent pT2 disease from those with pT3 and pT4 disease, but less robust stratification among those patients with PVMs {less than or equal to}2.00 mm; pT1 versus pT2 (isolated in C) or >2.0 mm; pT3 and pT4. (D, E, F) Because both tumor thickness and mitotic rate were independent prognostic factors for DSS and because mitotic rate showed a natural prognostic separation at 2 mitotic figures/mm2 (as shown in Figure 1D), we first asked whether a T-category according to the conventional AJCC cut-offs ({less than or equal to}1.0, 1.01-2.0, 2.01-4.0 and >4.0 mm) subsequently modified by mitotic rate (a: 2.0 mm (pT3 and pT4) had a short DSS independent of mitotic rate. More importantly, among patients with a tumor thickness {less than or equal to}2.0 mm (pT1 or pT2), only those with mitotic rate {greater than or equal to}2/mm2 had a short DSS, which was essentially superimposable with patients with pT3 and pT4 PVM in this schema. (F) Kaplan-Meier survival curve for patients with pT1 and pT2 PVMs show striking differences in survival according to mitotic rate (

Purpose: Aggressive cutaneous squamous cell carcinoma (cSCC) is often a disfiguring and lethal disease. Very little is currently known about the mutations that drive aggressive cSCC.Experimental Design: Whole-exome sequencing was performed on 39 cases of aggressive cSCC to identify driver genes and novel therapeutic targets. Significantly, mutated genes were identified with MutSig or complementary methods developed to specifically identify candidate tumor suppressors based upon their inactivating mutation bias.Results: Despite the very high-mutational background caused by UV exposure, 23 candidate drivers were identified, including the well-known cancer-associated genes TP53, CDKN2A, NOTCH1, AJUBA, HRAS, CASP8, FAT1, and KMT2C (MLL3). Three novel candidate tumor suppressors with putative links to cancer or differentiation, NOTCH2, PARD3, and RASA1, were also identified as possible drivers in cSCC. KMT2C mutations were associated with poor outcome and increased bone invasion.Conclusions: The mutational spectrum of cSCC is similar to that of head and neck squamous cell carcinoma and dominated by tumor-suppressor genes. These results improve the foundation for understanding this disease and should aid in identifying and treating aggressive cSCC. Clin Cancer Res; 20(24); 6582–92. ©2014 AACR.

Supplemental Table 1. Summary of the clinical and histopathologic characteristics of Merkel cell carcinoma patients. Supplemental Table 2. Summary of antibodies used in this study. Supplemental Table 3. Correlation between tumor associated immune infiltrate and co-localized expression of CD31 and B7-H3 in Primary MCCs.

Kaplan-Meier estimate of (A) overall survival and (B) disease-specific survival based on dermal mitotic rate (mitotic figures/mm2).

Purpose:In patients with cutaneous melanoma, metastasis in a nonsentinel lymph node (non-SLN) is a strong independent adverse prognostic factor. However, patients with a tumor-involved SLN no longer routinely undergo completion lymph node dissection (CLND). We hypothesized that SLN tumor burden may predict non-SLN tumor burden.Experimental Design:We compared tumor burden parameters between SLN and non-SLN in patients with cutaneous melanoma who underwent SLN biopsy with a positive SLN during 2003 to 2008 at The University of Texas MD Anderson Cancer Center.Results:We identified 336 eligible patients with a positive SLN. Of these, 308 (92%) underwent CLND, and 35 (10%) had non-SLN metastasis. The median follow-up time was 6.0 years. For patients with maximum diameter of tumor in the SLN ≤2.0 mm, >2.0–5.0 mm, and >5.0 mm, non-SLN metastasis was detected in 5 of 200 patients (3%), 10 of 63 patients (16%), and 20 of 57 patients (35%), and the mean maximum diameters of the non-SLN tumor deposits were 0.09, 1.56, and 2.71 mm, respectively (P < 0.0001). The percentage of patients with both subcapsular and intraparenchymal non-SLN tumor was higher for patients with SLN tumor in both locations than for patients with SLN tumor in only one location (P < 0.0001). Extranodal extension in a non-SLN was more common in patients with extranodal extension in an SLN (P = 0.003).Conclusions:In patients with cutaneous melanoma who undergo CLND, SLN tumor burden predicts non-SLN tumor burden. SLN tumor burden parameters provide accurate prognostic stratification independent of non-SLN status and should be considered for incorporation into future staging systems and integrated risk models.

Supplemental Tables S1-S4 and S6-S13. Supplemental Table S1: Summary of Patient Characteristics. Supplemental Table S2: Patient Characteristics and Key Mutations. Supplemental Table S3: Tumor purity and ploidy calculations. Supplemental Table S4: Sequencing Coverages. Supplemental Table S6: Allele fraction analysis. Supplemental Table S7: MutSig analysis. Supplemental Table S8: IntOGen mutational significance analysis. Supplemental Table S9: Chi-square mutational significance analysis. Supplemental Table S10: Multinomial mutational significance analysis. Supplemental Table S11: Kappa analysis for gene-gene associations. Supplemental Table S12: ABSOLUTE copy number analysis segmentation data. Supplemental Table S13: Clinical and mutation associations.

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Purpose: Primary vulvar melanoma (PVM) is the second most common vulvar malignancy. Despite their distinct anatomic site and unique molecular–genetic alterations, PVMs are staged according to the American Joint Committee on Cancer (AJCC) guidelines for primary cutaneous melanomas (PCM). However, whether parameters derived for PCM also apply to PVM remain a critical yet largely unexplored clinical question. The objective of this study was to determine the parameters predictive of survival in PVM.Experimental Design: We retrospectively reviewed 100 patients with PVM and determined associations between clinical and histopathologic parameters and disease-specific survival (DSS) and overall survival (OS).Results: Univariate Cox regression analysis demonstrated older age (>56 years), greater tumor thickness, higher dermal mitotic rate, ulceration, lymphovascular invasion, perineural invasion, microscopic satellitosis, and absence of precursor nevus associated with decreased OS. Furthermore, age, midline, and/or multifocal involvement, greater tumor thickness, higher dermal mitotic rate, ulceration, lack of regression, lymphovascular invasion, perineural invasion, and microscopic satellitosis associated with decreased DSS. Multivariate analysis demonstrated tumor thickness, dermal mitotic rate, lymphovascular invasion, microscopic satellitosis, and absence of precursor nevus independently predicted shorter OS. Only tumor thickness and increased dermal mitotic rate (≥2/mm2) independently predicted reduced DSS. In comparison with the AJCC T-category, a novel, bivariate T-category based only on tumor thickness and dermal mitotic rate robustly predicted OS and DSS in our patient cohort.Conclusions: In the largest single institutional study of PVM, we demonstrate a combination of tumor thickness and mitotic rate comprise a simple but robust T-category to direct staging and prognosis. Clin Cancer Res; 23(8); 2093–104. ©2016 AACR.

Supplementary Table 2. Mean per sample coverage information.

Supplemental Figure 1. Dynamic range of co-localized expression of CD31 and B7-H3 in primary Merkel cell carcinoma. Each CD31+ and B7-H3+ cell centroid was tabulated as a series of (X, Y) coordinates (cell centroids). The frequency of their respective overlap for each of the 52 primary MCCs was calculated within a given distance as indicated: blue boxes show G-function colocalization index applying a 1 pixel (1.57 �m) minimum distance of overlapped expression as our cutoff, and green boxes show G-function colocalization index applying a 2 pixel (3.14 �m) minimum distance of overlapped expression as our cutoff.

Purpose:Merkel cell carcinoma (MCC) is an aggressive cutaneous malignancy whose pathogenesis and prognosis are related to the integrity of the host immune system. Despite promising clinical responses to immune-checkpoint blockade, response and resistance remain unpredictable, underscoring a critical need to delineate novel prognostic biomarkers and/or therapeutic targets for this disease.Experimental Design: Expression of immune-regulatory markers (PD-L2, B7-H3, B7-H4, IDO-1, ICOS, TIM3, LAG3, VISTA, and OX-40) was assessed using singlet chromogenic IHC in 10 primary MCCs. Multiplex immunofluorescence quantified CD31 and B7-H3 expression in 52 primary and 25 metastatic MCCs. B7-H3 and CD31 expressions were tabulated as a series of independent (X,Y) cell centroids. A spatial G-function, calculated based on the distribution of distances of B7-H3+ (X,Y) cell centroids around the CD31+ (X,Y) cell centroids, was used to estimate a colocalization index equivalent to the percentage of CD31-positive cell centroids that overlap with a B7-H3–positive cell centroid.Results:Primary and metastatic MCCs exhibit a dynamic range of colocalized CD31 and B7-H3 expression. Increasing colocalized expression of B7-H3 with CD31 significantly associated with increased tumor size (P = 0.0060), greater depth of invasion (P = 0.0110), presence of lymphovascular invasion (P = 0.0453), and invasion beyond skin (P = 0.0428) in primary MCC. Consistent with these findings, increasing colocalized expression of B7-H3 and CD31 correlated with increasing vascular density in primary MCC, but not metastatic MCC.Conclusions:Our results demonstrate that colocalized expression of B7-H3/CD31 is a poor prognostic indicator and suggest therapies targeting B7-H3 may represent an effective approach to augmenting immune-activating therapies for MCC.

Purpose: Merkel cell carcinoma (MCC) is an aggressive cancer with frequent metastasis and death with few effective therapies. Because programmed death ligand-1 (PD-L1) is frequently expressed in MCC, immune checkpoint blockade has been leveraged as treatment for metastatic disease. There is therefore a critical need to understand the relationships between MCPyV status, immune profiles, and patient outcomes.Experimental Design: IHC for CD3, CD8, PD-1, PD-L1, and MCPyV T-antigen (to determine MCPyV status) was performed on 62 primary MCCs with annotated clinical outcomes. Automated image analysis quantified immune cell density (positive cells/mm2) at discrete geographic locations (tumor periphery, center, and hotspot). T-cell receptor sequencing (TCRseq) was performed in a subset of MCCs.Results: No histopathologic variable associated with overall survival (OS) or disease-specific survival (DSS), whereas higher CD3+ (P = 0.004) and CD8+ (P = 0.037) T-cell density at the tumor periphery associated with improved OS. Higher CD8+ T-cell density at the tumor periphery associated with improved DSS (P = 0.049). Stratifying MCCs according to MCPyV status, higher CD3+ (P = 0.026) and CD8+ (P = 0.015) T-cell density at the tumor periphery associated with improved OS for MCPyV+ but not MCPyV− MCC. TCRseq revealed clonal overlap among MCPyV+ samples, suggesting an antigen-specific response against a unifying antigen.Conclusions: These findings establish the tumor-associated immune infiltrate at the tumor periphery as a robust prognostic indicator in MCC and provide a mechanistic rationale to further examine whether the immune infiltrate at the tumor periphery is relevant as a biomarker for response in ongoing and future checkpoint inhibitor trials in MCC. Clin Cancer Res; 22(22); 5553–63. ©2016 AACR.

Supplemental Table 3. Summary of TP53 and RB1 mutational status, immunohistochemical detection of TP53 and RB and histopathologic features in primary/locally recurrent ocular adnexal (OA) sebaceous carcinomas.

Table S1A. Relationship between RFS and MSS, and size of tumor deposit in the SLN using the cut-off values of < 0.1 mm, 0.1-1.0 mm, and > 1.0 mm (univariate analysis); Table S1B. Relationship between SLN and non-SLN tumor burden using the cut-off values of < 0.1 mm, 0.1-1.0 mm, and > 1.0 mm (univariate analysis)

Supplemental Figure 2. Correlation between B7-H3/CD31 G-function co-localization index in MCPyV-positive MCCs. Plots showing the correlation B7-H3/CD31 G-function co-localization index for each primary MCPyV-positive MCC plotted against tumor size (A), depth of invasion (B), invasion beyond skin (C) and metastasis beyond SLN (D). G-function calculated according to a 1 pixel (1.57 �m) radius.

(A) Kaplan-Meier plot for age and disease specific survival applying a cut off of 71y. (B) Kaplan-Meier plot for sex and disease specific survival. (C) Kaplan-Meier plot for MCPyV status and disease specific survival. (D) Kaplan-Meier plot for perineural invasion and disease specific survival.

Supplementary Table 1. Summary of mutations identified in the entire cohort of primary, locally recurrent and metastatic tumors.

Supplemental Figure 3. Correlation between B7-H3/CD31 G-function co-localization index in MCPyV-negative MCCs. Plots showing the correlation B7-H3/CD31 G-function co-localization index for each primary MCPyV-negative MCC plotted against the frequency of associated malignancies (A) and lymphovascular invasion (B). G-function calculated according to a 1 pixel (1.57 �m) radius.

TT, tumor thickness; NR, not reported * Includes vulvar (n=14) and vaginal (n=7) melanomas £ Includes vulvar (n=16), vaginal (n=1) and cervical (n=1) melanomas Â¥ Includes vulvar (n=61), vaginal (n=15), urethral (n=5) and cervical (n=4) melanomas Â,¬ Includes vulvar (n=33) and vaginal (n=11) melanomas Î' Includes vulvar (n=58), vaginal (n=11), cervical (n=7) and other (n=9) melanomas

Supplemental Figures S1-S2 and Methods. Figure S1: Mutation types and number by previous radiation treatment. Figure S2: Copy number alterations.

Supplemental Table S5: mutation annotation file.

(A, B, C) We first assigned patients with PVM to a T-category according to the AJCC for PCM (7th Edition). (A) Shows the AJCC schema and the number of patients assigned to each category. (B) Kaplan Meier DSS curves for patients stratified by AJCC T-categories demonstrate robust prognostic differences for patients with PVM and pT1 and to an extent pT2 disease from those with pT3 and pT4 disease, but less robust stratification among those patients with PVMs {less than or equal to}2.00 mm; pT1 versus pT2 (isolated in C) or >2.0 mm; pT3 and pT4. (D, E, F) Because both tumor thickness and mitotic rate were independent prognostic factors for DSS and because mitotic rate showed a natural prognostic separation at 2 mitotic figures/mm2 (as shown in Figure 1D), we first asked whether a T-category according to the conventional AJCC cut-offs ({less than or equal to}1.0, 1.01-2.0, 2.01-4.0 and >4.0 mm) subsequently modified by mitotic rate (a: 2.0 mm (pT3 and pT4) had a short DSS independent of mitotic rate. More importantly, among patients with a tumor thickness {less than or equal to}2.0 mm (pT1 or pT2), only those with mitotic rate {greater than or equal to}2/mm2 had a short DSS, which was essentially superimposable with patients with pT3 and pT4 PVM in this schema. (F) Kaplan-Meier survival curve for patients with pT1 and pT2 PVMs show striking differences in survival according to mitotic rate (