Beta 1 integrin expression in malignant melanoma predicts occult lymph node metastases. 1995

T J Hieken, and S G Ronan, and M Farolan, and A L Shilkaitis, and D K Kim, and T K Das Gupta
Department of Surgical Oncology, University of Illinois at Chicago 60612-7322, USA.

BACKGROUND Elective lymph node dissection for malignant melanoma is still controversial. Experimental studies suggest that differential expression, activation, or both of beta1 integrins facilitate melanoma metastases. However, the clinical significance of beta1 integrin expression in human melanoma is unclear. METHODS We examined primary cutaneous melanomas from 76 patients undergoing elective lymph mode dissection. We quantified the percentage of tumor area stained by beta1 integrin antibody with an image analyzer. RESULTS beta1 integrin was expressed in all 23 primary tumors from patients with pathologically positive lymph nodes (LNs) but in only 14 (26%) of 53 cases with pathologically negative nodes (p < 0.001). No patients with beta1 integrin-negative tumors had LN involvement, whereas 23 (62%) of 37 patients with beta1 integrin-positive tumors had LN metastases (p < 0.001). Furthermore, 21 (91%) of 23 cases with LN metastases but only 4 (8%) of 53 cases without had beta1 integrin staining of 10% or more of tumor area (p < 0.001). CONCLUSIONS Our study is the first to show a correlation between expression of a molecular marker in the primary cutaneous melanoma and likelihood of regional LN metastases. beta1 immunostaining of 10% or more of tumor area reliably predicts patients most likely to harbor occult LN metastases and likely to benefit from ELND.

UI MeSH Term Description Entries
D007091 Image Processing, Computer-Assisted A technique of inputting two-dimensional or three-dimensional images into a computer and then enhancing or analyzing the imagery into a form that is more useful to the human observer. Biomedical Image Processing,Computer-Assisted Image Processing,Digital Image Processing,Image Analysis, Computer-Assisted,Image Reconstruction,Medical Image Processing,Analysis, Computer-Assisted Image,Computer-Assisted Image Analysis,Computer Assisted Image Analysis,Computer Assisted Image Processing,Computer-Assisted Image Analyses,Image Analyses, Computer-Assisted,Image Analysis, Computer Assisted,Image Processing, Biomedical,Image Processing, Computer Assisted,Image Processing, Digital,Image Processing, Medical,Image Processings, Medical,Image Reconstructions,Medical Image Processings,Processing, Biomedical Image,Processing, Digital Image,Processing, Medical Image,Processings, Digital Image,Processings, Medical Image,Reconstruction, Image,Reconstructions, Image
D008197 Lymph Node Excision Surgical excision of one or more lymph nodes. Its most common use is in cancer surgery. (From Dorland, 28th ed, p966) Lymph Node Dissection,Lymphadenectomy,Dissection, Lymph Node,Dissections, Lymph Node,Excision, Lymph Node,Excisions, Lymph Node,Lymph Node Dissections,Lymph Node Excisions,Lymphadenectomies,Node Dissection, Lymph,Node Dissections, Lymph
D008207 Lymphatic Metastasis Transfer of a neoplasm from its primary site to lymph nodes or to distant parts of the body by way of the lymphatic system. Lymph Node Metastasis,Lymph Node Metastases,Lymphatic Metastases,Metastasis, Lymph Node
D008297 Male Males
D008545 Melanoma A malignant neoplasm derived from cells that are capable of forming melanin, which may occur in the skin of any part of the body, in the eye, or, rarely, in the mucous membranes of the genitalia, anus, oral cavity, or other sites. It occurs mostly in adults and may originate de novo or from a pigmented nevus or malignant lentigo. Melanomas frequently metastasize widely, and the regional lymph nodes, liver, lungs, and brain are likely to be involved. The incidence of malignant skin melanomas is rising rapidly in all parts of the world. (Stedman, 25th ed; from Rook et al., Textbook of Dermatology, 4th ed, p2445) Malignant Melanoma,Malignant Melanomas,Melanoma, Malignant,Melanomas,Melanomas, Malignant
D008875 Middle Aged An adult aged 45 - 64 years. Middle Age
D009361 Neoplasm Invasiveness Ability of neoplasms to infiltrate and actively destroy surrounding tissue. Invasiveness, Neoplasm,Neoplasm Invasion,Invasion, Neoplasm
D009363 Neoplasm Proteins Proteins whose abnormal expression (gain or loss) are associated with the development, growth, or progression of NEOPLASMS. Some neoplasm proteins are tumor antigens (ANTIGENS, NEOPLASM), i.e. they induce an immune reaction to their tumor. Many neoplasm proteins have been characterized and are used as tumor markers (BIOMARKERS, TUMOR) when they are detectable in cells and body fluids as monitors for the presence or growth of tumors. Abnormal expression of ONCOGENE PROTEINS is involved in neoplastic transformation, whereas the loss of expression of TUMOR SUPPRESSOR PROTEINS is involved with the loss of growth control and progression of the neoplasm. Proteins, Neoplasm
D009367 Neoplasm Staging Methods which attempt to express in replicable terms the extent of the neoplasm in the patient. Cancer Staging,Staging, Neoplasm,Tumor Staging,TNM Classification,TNM Staging,TNM Staging System,Classification, TNM,Classifications, TNM,Staging System, TNM,Staging Systems, TNM,Staging, Cancer,Staging, TNM,Staging, Tumor,System, TNM Staging,Systems, TNM Staging,TNM Classifications,TNM Staging Systems
D011237 Predictive Value of Tests In screening and diagnostic tests, the probability that a person with a positive test is a true positive (i.e., has the disease), is referred to as the predictive value of a positive test; whereas, the predictive value of a negative test is the probability that the person with a negative test does not have the disease. Predictive value is related to the sensitivity and specificity of the test. Negative Predictive Value,Positive Predictive Value,Predictive Value Of Test,Predictive Values Of Tests,Negative Predictive Values,Positive Predictive Values,Predictive Value, Negative,Predictive Value, Positive

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