The University of Texas System

Other

Michele Follen

Rebecca Rae Richards-Kortum

Urs Utzinger

Jagannadha K Sastry

Guillermo Tortolero-Luna

Anita Mahadevan-Jansen

Nirmala Ramanujam

Kenji Nishioka

Walter Hittelman

Reuben Lotan

Wuan K Hong

Calum MacAuldy

The present invention concerns the use of E6 and/or E7 peptides from human papilloma virus (HPV) to evaluate a cell-mediated response in a patient infected with HPV to determine the prognosis for that patient with respect to the development or recurrence of pre-cancerous or cancerous growths, including cervical intraepithelial neoplasia (CIN).

Methods and compositions relating to HPV-associated pre-cancerous and cancerous growths, including CIN

Fluorescence spectral data acquired from tissues in vivo or in vitro is processed in accordance with a multivariate statistical method to achieve the ability to probabilistically classify tissue in a diagnostically useful manner, such as by histopathological classification. The apparatus includes a controllable illumination device for emitting electromagnetic radiation selected to cause tissue to produce a fluorescence intensity spectrum. Also included are an optical system for applying the plurality of radiation wavelengths to a tissue sample, and a fluorescence intensity spectrum detecting device for detecting an intensity of fluorescence spectra emitted by the sample as a result of illumination by the controllable illumination device. The system also include a data processor, connected to the detecting device, for analyzing detected fluorescence spectra to calculate a probability that the sample belongs in a particular classification. The data processor analyzes the detected fluorescence spectra using a multivariate statistical method. The five primary steps involved in the multivariate statistical method are (i) preprocessing of spectral data from each patient to account for inter-patient variation, (ii) partitioning of the preprocessed spectral data from all patients into calibration and prediction sets, (iii) dimension reduction of the preprocessed spectra in the calibration set using principal component analysis, (iv) selection of the diagnostically most useful principal components using a two-sided unpaired student's t-test and (v) development of an optimal classification scheme based on logistic discrimination using the diagnostically useful principal component scores of the calibration set as inputs.

Method for probabilistically classifying tissue in vitro and in vivo using fluorescence spectroscopy

Methods and apparatus for generating multispectral images of tissue. The multispectral images may be used as a diagnostic tool for conditions such as cervical cancer detection and diagnosis. Primary radiation is produced with an illumination source. The primary radiation is filtered to select a first wavelength and a first polarization. Tissue is illuminated with the filtered primary radiation to generate secondary radiation, which is filtered to select a second wavelength and a second polarization. The filtered secondary radiation is collected with a detector, and a plurality of multispectral images of the tissue is generated according to different combinations of first and second wavelengths and first and second polarization with an analysis unit in operable relation with the detector. Apparatus utilizing the invention include endoscopes and colposcopes.

Methods and apparatus for diagnostic multispectral digital imaging

Methods for treating, preventing, controlling the growth of and/or reducing the risk of developing cervical cancer, particularly in patients with cervical intraepithelial neoplasia are provided employing pharmaceutically acceptable preparations of DFMO. Methods for treating a patient having cervical intraepithelial neoplasia, which methods comprise administering DFMO alone or in combination with a cytotoxic or cytostatic agent, are also provided.

DFMO for the treatment or prevention of cervical intraepithelial

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Houston, TX, United States of America

Michele Follen