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Lori L Wilson

Publications and source records attributed to Lori L Wilson.

3 recordsLinked to original sources

Sentinel lymph node mapping for primary breast cancer.

The tumor status of the axillary lymph nodes is the single most important predictor of survival for patients with primary breast cancer. Because of its essential role in staging, regional control, and perhaps survival, axillary lymph node dissection (ALND) has long been the standard of care for patients with operable breast cancer. During the past decade, the introduction and development of sentinel lymph node dissection (SLND) for primary breast cancer have allowed surgeons to determine the tumor status of the axilla without a standard level I and II ALND. Several well-designed studies have documented that SLND is an effective way of assessing axillary nodal status with minimal morbidity and high accuracy. We address the current status and future directions of SLND for primary breast cancer.

Axilla↗

Detection of differentially expressed proteins in early-stage melanoma patients using SELDI-TOF mass spectrometry.

Tumor progression is a dynamic sequence of events that involves specific protein changes. We hypothesized that Surface Enhanced Laser Desorption/Ionization (SELDI) mass spectrometric analysis of sera from patients with AJCC stage I and II melanoma with negative loco-regional lymph nodes could identify potential melanoma-associated protein biomarkers of disease recurrence. Serum specimens were collected from 49 patients who developed recurrence (n = 25) or remained free of recurrence (n = 24) without evidence of disease following complete resection (AJCC stage I and II). Follow-up was longer than 5 years. Serum proteins were denatured and applied onto two protein chip chemistry surfaces (weak cationic WCX2; metal-binding, IMAC3-Cu). SELDI ProteinChip mass spectrometry was then performed. SELDI data were analyzed, protein peak clustering and classification were performed, and a supervised classification algorithm was employed to classify the dataset. Multiple protein peaks ranging from 3.3 to 30 kDa were identified between patients with recurrence and those without recurrence, and the expression pattern differences of three proteins were used to generate the discriminating classification tree. The biomarkers were expressed with a high degree of reproducibility. In this early characterization study, melanoma recurrence was predicted with a sensitivity of 72% (18/25) and a specificity of 75% (18/24). This novel pilot study revealed three proteins that accurately identified patients who developed recurrence after curative resection of primary melanoma.

Adult↗