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Biomedical subjects

Harriet M Kluger

Publications and source records attributed to Harriet M Kluger.

17 recordsLinked to original sources

Factors that increase class I MHC expression may contribute to the development of immune checkpoint inhibitor-induced diabetes.

Immune checkpoint inhibitors (ICIs) have improved survival of patients with cancer, yet they pose risks of immune-related adverse events (irAEs). ICI-induced insulin-dependent diabetes mellitus (ICI-DM) is a life-threatening and life-altering irAE. Previously, we reported a high incidence of a germline missense variant in NLRC5, a key class I transcription activator, among patients with ICI-DM compared with similarly treated patients who did not develop ICI-DM. Our purpose was to validate this finding in additional ICI-treated patients and study effects of the NLRC5 variant on expression of class I major histocompatibility complex (MHC) antigen presentation genes.We assessed the prevalence of the C>T missense variant at chr16:57&#x2009;025&#x2009;515 (NLRC5Pro191Leu) in germline DNA from an additional 33 patients with ICI-DM and in patients with ICI-induced colitis (n=15), ICI-induced hypothyroidism (n=19) and ICI-induced hypophysitis (n=17). The 1,000 Genomes Project was used for comparison. We assessed peripheral blood mononuclear cells from 16 individuals with or without the NLRC5 variant, studying expression of NLRC5 and select downstream target genes, before and after stimulation with interferon-&#x3b3;.We validated the higher prevalence of NLRC5Pro191Leu in a non-overlapping cohort of patients with ICI-DM compared with the general population (51.5% vs 12.8%, p<0.0001). The prevalence of NLRC5Pro191Leu in ICI-induced colitis or thyroiditis patients did not significantly differ from the general population, while the prevalence in ICI-induced hypophysitis was somewhat higher (21.6%, p=0.048). We found greater increases in messenger RNA expression of NLRC5 (p=0.007), TAP1 (p=0.0002), B2M (p=0.0005), HLA-G (p=0.04), PSMB8 (p=0.03) and PSMB9 (p=0.01) in NLRC5Pro191Leu cells stimulated with interferon-&#x3b3; compared with NLRC5WT cells. A similar trend was observed for HLA-A (p=0.09).We confirm the significantly higher prevalence of the NLRC5Pro191Leu variant in patients with ICI-DM relative to the general population. This abundance appears to be unique to patients who develop ICI-DM or hypophysitis on ICIs, underscoring its potential involvement in the pathogenesis of these endocrinopathies. The effects of this NLRC5 variant on class I MHC regulators suggest a mechanistic connection between the variant and development of ICI-DM. Further work is warranted to determine whether class I MHC molecules can be modulated in patients with the NLRC5Pro191Leu variant requiring ICIs.

Humans↗

MIF as an oncogenic driver of low-heterogeneity melanomas.

Identifying targets involved in tumor evolution and immune escape is an active area of research in oncology. Macrophage migration inhibitory factor (MIF) is an upstream immunoregulatory cytokine that promotes transformed cell proliferation and survival, and generates a tumor-permissive immune landscape of immunosuppressive myeloid and T&#xa0;cells. Shvefel and colleagues have identified a key role for MIF in tumor progression in melanoma clones with low tumor heterogeneity. These findings provide important insights into the potential therapeutic utility of MIF antagonists and support ongoing research to utilize MIF pathway inhibitors for improved therapeutic outcomes.

Animals↗

Rab33A: characterization, expression, and suppression by epigenetic modification.

Rab33A, a member of the small GTPase superfamily, is an X-linked gene that is expressed in brain, lymphocytes, and normal melanocytes, but is downregulated in melanoma cells. We demonstrate that in normal melanocytes Rab33A colocalizes with melanosomal proteins and that a constitutively active GTPase mutant suppresses their transport to the melanosomes. In the brain, Rab33A is present throughout the cortex, as well as in the hippocampal CA fields. A survey of melanocytic lesions demonstrated that aberrant downregulation of Rab33A is an early event that is already prevalent in melanocytes of giant congenital nevi. Analyses of bisulfite-modified DNA revealed that Rab33A is regulated by DNA methylation of a specific promoter region proximal to the transcription initiation site, and that suppression of Rab33A in melanoma cells recapitulates normal processes that control silencing of X-linked genes, but not tissue specific gene expression. This information is important for understanding carcinogenesis as well as other aberrant processes because Rab33A may have an important role in disorders involving X-chromosome-linked genes associated with vesicular transport.

Amino Acid Sequence↗

Expression of tumor necrosis factor--related apoptosis-inducing ligand receptors 1 and 2 in melanoma.

PURPOSE: The proapoptotic receptors tumor necrosis factor--related apoptosis-inducing ligand receptor 1 (TRAIL-R1) and TRAIL-R2 are targets of drugs in clinical development, and receptor expression levels may be important determinants of sensitivity to receptor agonists. We assessed TRAIL-R1 and TRAIL-R2 expression patterns in a large cohort of melanomas and benign nevi. EXPERIMENTAL DESIGN: We analyzed tissue microarrays containing 546 melanomas and 540 nevi using our automated quantitative method to measure protein levels in situ (AQUA). The system uses S100 to define pixels as melanoma (tumor mask) within the array spot and measures intensity of TRAIL-receptor expression using Cy5-conjugated antibodies within the mask. AQUA scores were correlated with clinical and pathologic variables. RESULTS: TRAIL-R1 and TRAIL-R2 expression was higher in melanomas than in nevi (P < 0.0001), and higher in primary than in metastatic specimens (P = 0.0031 and P < 0.0001, respectively). TRAIL-R1 and TRAIL-R2 expression exceeding the 95th percentile for nevi was found in 19% and 74% of melanoma specimens, respectively. Although on univariate analysis, high TRAIL-R2 expression correlated with increased survival (P = 0.0439), it was not associated with survival within the primary or metastatic subcohorts. TRAIL-R1 expression was not associated with survival. CONCLUSIONS: TRAIL-R1 and TRAIL-R2 expression is higher in malignant melanocytes than in their benign counterparts, suggesting that these receptors might be effective therapeutic targets in melanoma. Expression is higher in early-stage disease than in metastatic specimens, and expression exceeding that found in nevi is found in a substantially larger fraction of melanomas for TRAIL-R2 compared with TRAIL-R1. Assessment of baseline tumor TRAIL receptor expression may be important in analysis of clinical trials involving TRAIL receptor agonists.

Gene Expression Regulation↗

Characterizing disease states from topological properties of transcriptional regulatory networks.

BACKGROUND: High throughput gene expression experiments yield large amounts of data that can augment our understanding of disease processes, in addition to classifying samples. Here we present new paradigms of data Separation based on construction of transcriptional regulatory networks for normal and abnormal cells using sequence predictions, literature based data and gene expression studies. We analyzed expression datasets from a number of diseased and normal cells, including different types of acute leukemia, and breast cancer with variable clinical outcome. RESULTS: We constructed sample-specific regulatory networks to identify links between transcription factors (TFs) and regulated genes that differentiate between healthy and diseased states. This approach carries the advantage of identifying key transcription factor-gene pairs with differential activity between healthy and diseased states rather than merely using gene expression profiles, thus alluding to processes that may be involved in gene deregulation. We then generalized this approach by studying simultaneous changes in functionality of multiple regulatory links pointing to a regulated gene or emanating from one TF (or changes in gene centrality defined by its in-degree or out-degree measures, respectively). We found that samples can often be separated based on these measures of gene centrality more robustly than using individual links. We examined distributions of distances (the number of links needed to traverse the path between each pair of genes) in the transcriptional networks for gene subsets whose collective expression profiles could best separate each dataset into predefined groups. We found that genes that optimally classify samples are concentrated in neighborhoods in the gene regulatory networks. This suggests that genes that are deregulated in diseased states exhibit a remarkable degree of connectivity. CONCLUSION: Transcription factor-regulated gene links and centrality of genes on transcriptional networks can be used to differentiate between cell types. Transcriptional network blueprints can be used as a basis for further research into gene deregulation in diseased states.

Algorithms↗

Evaluating the expression and prognostic value of TRAIL-R1 and TRAIL-R2 in breast cancer.

PURPOSE: The cell surface receptors tumor necrosis factor-related apoptosis-inducing ligand receptor 1 (TRAIL-R1) and TRAIL-R2 transmit apoptotic signals, and agents that activate these receptors are in clinical development. We sought to determine the expression and prognostic value of TRAIL-R1 and TRAIL-R2 in early-stage breast cancer. EXPERIMENTAL DESIGN: Tissue microarrays containing specimens from 655 breast cancer patients with 20-year follow-up were employed and evaluated with our automated quantitative analysis (AQUA) system. The system uses cytokeratin to define pixels as breast cancer (tumor mask) within the array spot, and measures intensity of TRAIL receptor expression using Cy5 conjugated antibodies within the mask. AQUA scores were correlated with clinical and pathologic variables. TRAIL-R1 and TRAIL-R2 expression were similarly studied on 95 unmatched normal breast specimens. RESULTS: TRAIL-R1 expression was not associated with survival. High TRAIL-R2 expression strongly correlated with decreased survival (P = 0.0005). On multivariate analysis, high TRAIL-R2 expression remained an independent prognostic marker, as did nodal status and tumor size. High TRAIL-R2 expression correlated strongly with lymph node involvement (P = 0.0003). TRAIL-R2 expression was stronger in malignant specimens than in normal breast epithelium (P < 0.0001). CONCLUSIONS: High TRAIL-R2 expression was independently associated with decreased survival in breast cancer. The biological basis and the sensitivity of high TRAIL-R2 expressing cells to TRAIL agonists and/or chemotherapy are subject to further investigation. Evaluation of TRAIL-R2 expression in early-stage breast cancer may identify a subset of patients requiring more aggressive or pathway-targeted adjuvant treatment. Clinical trials involving TRAIL-R2 agonists should stratify patients based on TRAIL-R2 expression.

Adult↗

Using a xenograft model of human breast cancer metastasis to find genes associated with clinically aggressive disease.

Metastasis is the primary cause of death from breast cancer. A xenograft model was used to identify genes potentially involved with metastasis, comparing expression in the poorly metastatic GI101A human breast cancer cell line and a highly metastatic variant, GILM2. cDNA microarray analyses of these isogenic variants were done using 16K Operon 70-mer oligonucleotide microarray slides. Differentially expressed genes were identified by ANOVA, and differences of > or =2.5-fold were found for 106 genes. Changes in protein or RNA expression were confirmed for 10 of 12 genes. Three markers, heat shock protein 70 (HSP-70), chemokine (C-X-C motif) ligand 1 (CXCL-1), and secreted leukocyte protease inhibitor (SLPI), were studied further with breast cancer tissue microarrays using a novel method of automated quantitative analysis. This uses cytokeratin to define pixels as breast cancer (tumor mask) within the tissue array spot and then measures intensity of marker expression using a cyanine 5-conjugated antibody within the mask. Scores were correlated with clinicopathologic variables. High HSP-70 expression and high nuclear CXCL-1 expression in primary tumors were both associated with decreased survival (P = 0.05 and 0.027, respectively). Expression of each marker was strongly associated with lymph node involvement (P = 0.0002, 0.008, 0.0012, and 0.012 for HSP-70, nuclear CXCL-1, cytoplasmic CXCL-1, and SLPI, respectively). Identification of genes associated with metastasis in experimental models may have clinical implications for the management of breast cancer, because some of these are associated with lymph node metastasis and survival and might be useful as prognostic markers or molecular targets for novel therapies.

Animals↗

Automated quantitative analysis of E-cadherin expression in lymph node metastases is predictive of survival in invasive ductal breast cancer.

PURPOSE: The tumor suppressor adhesion molecule E-cadherin is believed to have an anti-invasive role in breast cancer. Lymph node involvement is the best prognostic marker known, yet there is variability in outcome among node-positive patients. We investigated the relationship between E-cadherin expression in primary invasive ductal tumors and corresponding nodal metastases, and determined the prognostic value of E-cadherin expression in node-positive breast cancer. EXPERIMENTAL DESIGN: Membrane E-cadherin expression was studied by immunohistochemical staining of tissue microarrays with fluorescent-labeled antibodies. An objective method of automated quantitative analysis (AQUA) was used. AQUA uses cytokeratin to define pixels as breast cancer (tumor mask) within the array spot, and measures E-cadherin expression using a Cy5-conjugated antibody within the mask. RESULTS: We employed a tissue microarray containing 207 primary and matched nodal metastases suitable for AQUA analysis. There was no significant difference in mean staining intensity between the primary and nodal specimens (P = 0.8). A scattergram was generated which identified a subset of patients (25%) with high E-cadherin expression in nodal metastases, and this top quartile had improved survival (P = 0.028). On univariate analysis, increased E-cadherin expression in nodal metastases was strongly associated with improved survival (P = 0.007), whereas expression in primary tumors was not (P = 0.13). On multivariate analysis, nodal E-cadherin expression retained its independent association with survival, as did tumor size and HER2/neu status. CONCLUSIONS: Strong E-cadherin expression in lymph node metastases was highly predictive of improved survival. This suggests that expression of adhesion molecules at metastatic sites portends less aggressive tumor behavior.

Breast Neoplasms↗

Automated quantitative analysis of HDM2 expression in malignant melanoma shows association with early-stage disease and improved outcome.

The incidence of cutaneous malignant melanoma continues to increase every year, and this disease remains the leading cause of skin cancer death in industrialized countries. Despite the aggressive nature of advanced melanoma, there are no standard biological assays in clinical usage that can predict metastasis. This may be due, in part, to the inadequacy of reproducible assessment of protein expression using traditional immunohistochemistry. We have previously described a novel method of quantitative assessment of protein expression (AQUA) with the continuity and accuracy of an ELISA assay but with maintenance of critical spatial information. Here, we modify this technology for the evaluation of protein expression in melanoma. Using a tissue microarray cohort of 405 melanoma lesions and 17 normal skin samples, we analyzed expression of HDM2, the human homologue of murine double minute 2 with automated quantitative analysis. We show that expression levels in the nucleus are significantly higher in primary melanomas than in metastatic lesions. Furthermore, high levels of expression are predictive of better outcome. This study demonstrates that quantitative assessment of protein expression is useful in melanoma to validate potential tissue biomarkers and suggests that human homologue of murine double minute 2 may be a valuable prognostic tool for management of malignant melanoma.

Biomarkers, Tumor↗

Automated quantitative analysis of tissue microarrays reveals an association between high Bcl-2 expression and improved outcome in melanoma.

The addition of B-cell lymphoma 2 (Bcl-2) antisense to dacarbazine in the treatment of metastatic melanoma demonstrates improved response rates and progression-free survival when compared with dacarbazine alone. Studies on small cohorts of melanoma patients have shown variability in Bcl-2 expression (60%-96% positive). We performed quantitative analysis of Bcl-2 expression in a large patient cohort to assess the association with outcome. Tissue microarrays containing intact melanoma specimens representing 402 patients (339 with associated survival data) were analyzed with our AQUA system for automated quantitative analysis. Automated, quantitative analysis uses S100 to define pixels as melanoma (tumor mask) within the array spot and measures intensity of Bcl-2 expression using a Cy5 conjugated antibody within the mask. A continuous index score is generated, which is directly proportional to the number of molecules per unit area. Scores were divided into quartiles and correlated with clinical variables. High Bcl-2 expression was associated with better outcome in the entire cohort and among metastatic specimens only (P = 0.004 and P = 0.015, respectively). Expression was higher in primary than in metastatic specimens (P < 0.0001). There was no association between Bcl-2 expression and Breslow depth or Clark level. The diverse results within the literature may be due to use of small cohorts or variability in staining technique. These results suggest studies are needed to evaluate the association between quantitative assessment of Bcl-2 expression and response to Bcl-2 targeting therapy toward the goal of improved response rates to these drugs.

Cohort Studies↗

Expression profiling reveals novel pathways in the transformation of melanocytes to melanomas.

Affymetrix and spotted oligonucleotide microarrays were used to assess global differential gene expression comparing normal human melanocytes with six independent melanoma cell strains from advanced lesions. The data, validated at the protein level for selected genes, confirmed the overexpression in melanoma cells relative to normal melanocytes of several genes in the growth factor/receptor family that confer growth advantage and metastasis. In addition, novel pathways and patterns of associated expression in melanoma cells not reported before emerged, including the following: (a) activation of the NOTCH pathway; (b) increased Twist expression and altered expression of additional transcriptional regulators implicated in embryonic development and epidermal/mesenchymal transition; (c) coordinated activation of cancer/testis antigens; (d) coordinated down-regulation of several immune modulation genes, in particular in the IFN pathways; (e) down-regulation of several genes implicated in membrane trafficking events; and (f) down-regulation of growth suppressors, such as the Prader-Willi gene NECDIN, whose function was confirmed by overexpression of ectopic Flag-necdin. Validation of differential expression using melanoma tissue microarrays showed that reduced ubiquitin COOH-terminal esterase L1 in primary melanoma is associated with worse outcome and that increased expression of the basic helix-loop-helix protein Twist is associated with worse outcome. Some differentially expressed genes reside on chromosomal regions displaying common loss or gain in melanomas or are known to be regulated by CpG promoter methylation. These results provide a comprehensive view of changes in advanced melanoma relative to normal melanocytes and reveal new targets that can be used in assessing prognosis, staging, and therapy of melanoma patients.

Animals↗

alphaB-crystallin as a marker of lymph node involvement in breast carcinoma.

BACKGROUND: It was found previously that alphaB-crystallin, a small heat-shock protein, was overexpressed in a metastatic variant of the GI101A human breast carcinoma cell line. The objective of the current study was to determine whether the expression of alphaB-crystallin in primary breast carcinomas was associated with lymph node metastasis and survival. METHODS: Expression of alphaB-crystallin was measured in human breast carcinoma cell lines by immunoblotting. Expression in human breast carcinomas was evaluated by immunohistochemical staining of tissue microarrays that contained samples from 317 patients with lymph node-negative breast carcinoma and 291 patients with lymph node-positive breast carcinoma. RESULTS: It was found that alphaB-crystallin was expressed constitutively in certain breast carcinoma cell lines, including those that were capable of metastasizing in immunodeficient mice. Expression of alphaB-crystallin in human tissue samples was associated strongly with lymph node involvement (P < 0.0001; chi-square test) and, to a lesser degree, with high nuclear grade (P = 0.05). Increased intensity of expression was correlated with shorter survival (P = 0.0091; log-rank test). Multivariate analysis indicated that alphaB-crystallin expression was not independent of lymph node status as a predictor of survival. CONCLUSIONS: The data obtained in the current study revealed a strong association between high expression levels of alphaB-crystallin in primary breast carcinoma specimens and lymph node involvement. Further studies will be needed to prospectively elucidate the role of this novel tumor marker as a clinical prognostic marker in local and locally advanced breast carcinoma as well as its potential status as a new target for therapy in patients with breast carcinoma.

Biomarkers, Tumor↗

Macrophage colony-stimulating factor-1 receptor expression is associated with poor outcome in breast cancer by large cohort tissue microarray analysis.

PURPOSE: Macrophage colony-stimulating factor-1 receptor (CSF-1R) is a transmembrane tyrosine kinase receptor, which is abnormally expressed in invasive breast cancer. Small cohort studies have demonstrated that increased expression of CSF-1R is associated with ipsilateral breast cancer recurrence. Correlation with survival has not been reported. Our aim was to further evaluate the role of CSF-1R in breast cancer, by studying the expression of CSF-1R in a large cohort of clinical specimens. EXPERIMENTAL DESIGN: Tissue microarrays containing 301 node-negative and 280 node-positive cases were used. Immunohistochemical staining was performed and correlated with overall survival, nodal status, and other clinicopathological data. RESULTS: CSF-1R expression was strongly associated with nodal status. Of the node-negative cases, 114 (38.9%) stained positive for CSF-1R, whereas 189 (67.5%) of the node-positive cases expressed CSF-1R (P < 0.0001). CSF-1R expression is also associated with larger tumor size (P = 0.02). Positive staining was strongly associated with decreased survival (P = 0.0003). Among node-negative patients, CSF-1R expression was associated with decreased overall survival (P = 0.045), whereas among node-positive patients, it was not (P = 0.47). In multivariate analysis, CSF-1R was not independent of nodal status as a predictor of survival. CONCLUSIONS: CSF-1R expression is a strong predictor of poor outcome in nonmetastatic breast cancer. It is significantly more frequently expressed in patients with nodal involvement. Among the node-negative patients, it has a stronger association with survival than among the node-positive patients. Our findings support other preclinical findings that CSF-1R may be involved in local invasion and metastasis. Thus, this receptor may be an effective target for therapeutic agents.

Biomarkers, Tumor↗

cDNA microarray analysis of invasive and tumorigenic phenotypes in a breast cancer model.

The fms oncogene encodes the macrophage colony-stimulating factor receptor (CSF1R), a transmembrane tyrosine kinase receptor, which is abnormally expressed in breast cancer. Transfection of wild-type CSF1R into HC11 mammary epithelial cells (HC11-CSF1R) renders the transfectants capable of in vitro local invasion and in vivo tumorigenesis. Transfection with CSF1R mutated to express phe at the tyr-721 autophosphorylation site (HC11-CSF1R-721) creates a phenotype that lacks metastastic competence but maintains local invasiveness. Conversely, HC11 cells transfected with CSF1R mutated at tyr-807 (HC11-CSF1R-807) retain their metastatic competence, but are not locally invasive. Our aims were to determine which genes were differentially expressed with transfection of HC11 with wild-type CSF1R, and to determine the effect of mutation at the autophosphorylation sites on gene expression, using 4.6 K cDNA microarrays. Complementary DNA from HC11, HC11-CSF1R-721 and HC11-CSF1R-807 were each hybridized together with HC11-CSF1R on individual arrays. A principal component spectral method combined with prenormalization procedures was used for sample clustering. Differentially expressed genes were identified by the analysis of variance. Confirmation by Northern blotting was performed for MAP kinase phosphatase-1, WDNM1 (extracellular proteinase inhibitor), Trop 2 (tumor-associated calcium signal transducer-2), procollagen type IV alpha, secretory leukoprotease inhibitor, prenylated snare protein Ykt6, ceruloplasmin and chaperonin 10. Many of these genes have not previously been associated with tumor invasion and metastasis. We have successfully identified genes that can be linked to the invasive phenotypes or to tumorigenesis. These genes provide a basis for further studies of metastatic progression and local invasiveness, and can be evaluated as therapeutic targets.

Animals↗

Her2/neu is not a commonly expressed therapeutic target in melanoma -- a large cohort tissue microarray study.

Melanoma is among the most chemotherapy-resistant malignancies. Numerous new agents have been developed that target specific molecules on cancer cells, including the monoclonal antibody trastuzumab, which targets Her2/neu and has been very beneficial in the treatment of breast cancer. There are conflicting reports in the literature about Her2/neu expression in melanoma specimens, but all of the cohorts studied have been small. We therefore examined Her2/neu expression in a very large cohort of melanoma specimens in order to determine the value of exploring trastuzumab therapy for melanoma patients. Immunohistochemical staining was performed on two tissue microarrays, together containing 600 intact specimens. Expression was evaluated semi-quantitatively and correlated with tumour stage and other clinicopathological data. Of the 600 specimens in the cohort, 31 patients (5.2%) had positive Her2/neu expression. Among the primary cutaneous specimens (n=269), 7% had positive Her2/neu staining, while 3.6% of the recurrent or metastatic specimens (n=331) had positive Her2/neu staining (P=0.06). Among the primary lesions there was no significant correlation between Her2/neu expression, Clark level and ulceration; however, Her2/neu expression was associated with lesions with a Breslow depth of < 2 mm (P=0.05). Using this very large cohort of melanoma specimens, we found only a few cases with aberrant Her2/neu expression, many of them being primary cutaneous lesions rather than recurrent or metastatic lesions. Our findings suggest that drugs that specifically target Her2/neu are not likely to be useful for the treatment of metastatic melanoma or as adjuvant therapy for melanoma patients at high risk for recurrence.

Cohort Studies↗

Subcellular localization of activating transcription factor 2 in melanoma specimens predicts patient survival.

The transcription factor activating transcription factor 2 (ATF2) has been shown to be associated with melanocytic oncogenesis and melanoma tumor proliferation in preclinical models. The clinical significance of ATF2 expression is unknown. To determine the prognostic value of ATF2 in melanoma, we evaluated the pattern and level of ATF2 expression in a large cohort of melanoma specimens. Immunohistochemical staining was performed on a tissue microarray representing 544 patients with a mean follow-up time of 60 months. Expression was evaluated semiquantitatively and correlated with overall survival and other clinicopathological data. Strong cytoplasmic ATF2 expression was associated with primary specimens rather than metastases (P < 0.0001) and with better survival (P = 0.0003). Strong nuclear ATF2 expression was associated with metastatic specimens (P < 0.0001) and with poor survival (P = 0.0008). Patients who had both weak cytoplasmic and strong nuclear ATF2 staining had the worst outcome, both among the full cohort of patients (P < 0.0001) and among the patients with localized disease (n = 269; P < 0.0001). On multivariate analysis of the primary cutaneous specimens, weak cytoplasmic staining and strong nuclear staining was an independent predictor of poor outcome, as was Clark level. Nuclear ATF2 is likely to be transcriptionally active, whereas cytoplasmic ATF2 probably represents an inactive form. These findings support other preclinical findings in which transcriptionally active ATF2 is involved in tumor progression-proliferation in melanoma. Moreover, our findings suggest that ATF2 might be a useful prognostic marker in early-stage melanoma.

Activating Transcription Factor 2↗