# MULTIDIMENSIONAL SLIT-SCAN DETECTION OF BLADDER CANCER

> **NIH NIH R01** · UNIVERSITY OF ROCHESTER · 1991 · $369,193

## Abstract

Primary needs in bladder cancer form the focus of this renewal.  The
primary goal of this study is the identification of probes and features
useful in evaluating low grade disease, monitoring therapy, and
predicting progression and recurrence through the parallel analysis of
DNA, protein expression, and genetic makeup of longitudinally acquired
bladder irrigation specimens.  Specific aims include: 1) Further defining
the utility and role of monoclonal probes shown useful in preliminary and
previous studies.  Studies will continue utilizing M344, 19A211, T-138,
Thomsen-Friedenreich antigen, and Lewis X probes on longitudinally
collected bladder irrigation specimens.  This study will utilize both
slit-scan flow cytometry and fluorescence image analysis.  Slit-scan flow
cytometry provides quantitative fluorescence together with low resolution
morphological information on cells in flow. Collaborative studies with
Dr. Yves Fradet will expand the data set. 2) Identification of probes and
features useful in monitoring immunotherapy and predicting progression
through the parallel analysis of DNA, protein expression, and the genetic
makeup of longitudinally acquired bladder irrigation specimens on
patients treated with BCG and BCG/IL2.  This study will establish
relationships between phenotype, genotype, and response to therapy. 3)
Identification of chromosomal abnormalities in bladder cancer useful for
evaluating low grade disease, obtaining prognostic information on
progression and recurrence, and contributing to the understanding of the
disease.  Studies will continue utilizing peri-centromeric probes for
chromosomes 1, 7, 9, 11, and 15 on interphase nuclei.  Collaborative
studies with Dr. AHN Hopman using standardized fluorescence in situ
hybridization methodology and classification criteria will permit
combining data sets.  This study will be aided by the utilization of new
probes supplied by Dr. Joe Gray. 4) A better understanding of FISH data
through a study of the statistical aspects of FISH analysis.  This
includes the detection of low frequency events in a heterogeneous
population, the quantized nature of FISH data, and the determination of
sensitivity and specificity.  Studies will be carried out in continued
close collaboration and consultation with clinical colleagues in Urology
and with continued strong biostatistical input in all phases to assure
statistically meaningful results.

## Key facts

- **NIH application ID:** 3171110
- **Project number:** 2R01CA033148-10
- **Recipient organization:** UNIVERSITY OF ROCHESTER
- **SAM.gov UEI:** F27KDXZMF9Y8
- **Principal Investigator:** LEON L WHEELESS
- **Activity code:** R01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 1991
- **Award amount:** $369,193
- **Award type:** 2
- **Project period:** 1982-08-01 → 1995-06-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/3171110

## Citation

> US National Institutes of Health, RePORTER application 3171110, MULTIDIMENSIONAL SLIT-SCAN DETECTION OF BLADDER CANCER (2R01CA033148-10). Retrieved via MORVS 2026-10-25 from https://api.morvs.ai/grant/nih/3171110. Licensed CC0.

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