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Prognostication in eye cancer: the latest tumor, node, metastasis classification and beyond.

ABSTRACT: The tumour, node, metastasis (TNM) classification is a universal cancer staging system, which has been used for five decades. The current seventh edition became effective in 2010 and covers six ophthalmic sites: eyelids, conjunctiva, uvea, retina, orbit, and lacrimal gland; and five cancer types: carcinoma, sarcoma, melanoma, retinoblastoma, and lymphoma. The TNM categories are based on the anatomic extent of the primary tumour (T), regional lymph node metastases (N), and systemic metastases (M). The T categories of ophthalmic cancers are based on the size of the primary tumour and any invasion of periocular structures. The anatomic category is used to determine the TNM stage that correlates with survival. Such staging is currently implemented only for carcinoma of the eyelid and melanoma of the uvea. The classification of ciliary body and choroidal melanoma is the only one based on clinical evidence so far: a database of 7369 patients analysed by the European Ophthalmic Oncology Group. It spans a prognosis from 96% 5-year survival for stage I to 97% 5-year mortality for stage IV. The most accurate criterion for prognostication in uveal melanoma is, however, analysis of chromosomal alterations and gene expression. When such data are available, the TNM stage may be used for further stratification. Prognosis in retinoblastoma is frequently assigned by using an international classification, which predicts conservation of the eye and vision, and an international staging separate from the TNM system, which predicts survival. The TNM cancer staging manual is a useful tool for all ophthalmologists managing eye cancer.

SUBMITTER: Kivela T

PROVIDER: S-EPMC3574256 | biostudies-other | 2013 Feb

REPOSITORIES: biostudies-other

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A Modified Tumor-Node-Metastasis Classification for Primary Operable Colorectal Cancer.

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| S-EPMC7853182 | biostudies-literature

Gene Expression Profiling and PRAME Status Versus Tumor-Node-Metastasis Staging for Prognostication in Uveal Melanoma.

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| S-EPMC6214741 | biostudies-literature

Gene Expression Profiling and PRAME Status Versus Tumor-Node-Metastasis Staging for Prognostication in Uveal Melanoma.

Project description:PurposeTo compare the prognostic accuracy of gene expression profiling (GEP) combined with PRAME status vs the clinical Tumor-Node-Metastasis (TNM) staging in patients with uveal melanoma (UM).DesignRetrospective cohort study.MethodsThe study included 240 consecutive patients with UM. Tumors were assessed for GEP status (Class 1 or Class 2) using a validated 15-gene assay and PRAME expression status using quantitative polymerase chain reaction. TNM staging was according to the American Joint Committee on Cancer 8th edition. Statistical analysis included univariate and multivariate Cox proportional hazard models. Metastasis was the primary endpoint.ResultsGEP was Class 1 in 128 (53.3%) cases and Class 2 in 112 (46.7%) cases. PRAME status was negative in 157 (65.4%) cases and positive in 83 (34.6%) cases. TNM was stage I in 26 (10.8%) cases, IIA in 67 (27.9%) cases, IIB in 50 (20.8%) cases, IIIA in 59 (24.6%) cases, and IIIB in 38 (15.8%) cases. Metastatic disease was detected in 59 (24.6%) cases after median follow-up of 29 months (mean 42 months; range 1-195 months). Variables associated with metastasis included (in order of decreasing significance): GEP class (P = 1.5 × 10-8), largest basal tumor diameter (P = 2.5 × 10-6), PRAME status (P = 2.6 × 10-6), and TNM stage (P = 3.7 × 10-6). The prognostic accuracy of an optimized 3-category GEP/PRAME model (P = 8.6 × 10-14) was superior to an optimized TNM model (P = 1.3 × 10-5).ConclusionsIn UM, molecular prognostic testing using GEP and PRAME provides prognostic accuracy that is superior to TNM staging.

| S-EPMC6214741 | biostudies-literature

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| S-EPMC7352722 | biostudies-literature

Prediction of lymph node metastasis by tumor-infiltrating lymphocytes in T1 breast cancer.

Project description:BackgroundLymph node metastasis is more likely in early-stage breast cancer with lower tumor-infiltrating lymphocyte (TIL) density. Therefore, we investigated the correlation between TILs and lymph node metastasis in cT1 breast cancer patients undergoing surgery and the usefulness of TILs in predicting sentinel lymph node metastasis (SLNM) in cT1N0M0 breast cancer.MethodsWe investigated 332 breast cancer patients who underwent surgery as the first-line treatment after preoperative diagnosis of cT1. A positive diagnosis of SLNM as an indication for axillary clearance was defined as macrometastasis in the sentinel lymph node (SLN) (macrometastasis: tumor diameter > 2 mm). Semi-quantitative evaluation of lymphocytes infiltrating the peritumoral stroma as TILs in primary tumor biopsy specimens prior to treatment was conducted.ResultsFor SLN biopsy (SLNB), a median of 2 (range, 1-8) SLNs were pathologically evaluated. Sixty cases (19.4%) of SLNM (macrometastasis: 46, micrometastasis: 16) were observed. Metastasis was significantly greater in breast cancers with tumor diameter > 10 mm than in those with diameter ≤ 10 mm (p = 0.016). Metastasis was significantly associated with lymphatic invasion (p < 0.001). These two clinicopathological factors correlated with SLNM even in patients diagnosed with cN0 (tumor size; p = 0.017, lymphatic invasion; p = 0.002). Multivariate analysis for SLNM predictors revealed lymphatic invasion (p = 0.008, odds ratio [OR] = 2.522) and TILs (p < 0.001, OR = 0.137) as independent factors.ConclusionsOur results suggest a correlation between lymph node metastasis and tumor immune-microenvironment in cT1 breast cancer. TIL density may be a predictor of SLNM in breast cancer without lymph node metastasis on preoperative imaging.

| S-EPMC7318528 | biostudies-literature

Metinel node--the first lymph node draining a metastasis--contains tumor-reactive lymphocytes.

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| S-EPMC2277445 | biostudies-other

Tumor-Infiltrating Immune Cell Landscapes in the Lymph Node Metastasis of Papillary Thyroid Cancer.

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| S-EPMC10046895 | biostudies-literature

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