ANN based prediction using molecular profiles

for

HNSCC (Head and Neck squamous cell carcinoma)

Dinesh K. Tewatia

ECE:539

Problem Statement and motivation

Molecular marker profiles used for predicting locoregional control of head and neck squamous cell carcinoma in randomized trial of CHART and CRT.

Data reformatted for ANN trainingINPUT OUTPUT

ki67 pattern p53 p53int cd31 bcl2 cyclind sex hist age tstage nstage trt distmet dead locoreg

2 2 1 1 1 1 5 1 2 51.43 3.00 1 2 0 0 0

3 4 1 1 1 1 19 1 3 59.43 3.00 1 1 1 1 1

1 1 1 1 1 1 54 1 2 54.63 2.00 1 1 0 1 1

2 2 1 1 2 2 8 1 2 59.31 3.00 0 1 0 0 1

1 1 1 1 2 1 42 1 2 84.56 2.00 0 1 0 1 0

1 2 1 1 1 1 33 1 2 68.68 3.00 0 2 0 0 0

2 3 1 1 2 1 60 1 2 70.14 4.00 1 2 0 1 1

3 4 3 3 2 1 25 2 1 77.92 2.00 0 1 0 1 1

1 1 1 1 1 1 14 1 1 55.27 2.00 0 2 0 1 1

3 3 3 3 3 1 20 2 2 51.10 2.00 1 1 0 0 0

3 4 3 3 3 1 5 1 2 59.26 3.00 1 1 0 1 1

2 3 3 3 2 1 0 2 2 63.23 2.00 1 2 0 0 1

3 1 2 1 2 1 8 1 3 59.14 2.00 0 1 0 1 0

1 2 1 1 2 1 44 1 2 69.57 4.00 0 1 1 1 1

3 2 3 3 1 1 4 1 2 63.35 4.00 0 1 0 1 1

3 4 1 1 1 1 53 1 2 75.78 3.00 0 1 0 1 1

1 1 2 2 2 1 26 1 1 61.47 2.00 0 1 0 1 0

2 3 3 2 3 1 4 1 2 73.54 2.00 0 2 0 0 0

1 2 3 3 2 1 28 2 2 46.60 2.00 1 1 1 1 1

2 2 1 1 1 1 35 1 2 81.21 2.00 0 1 0 0 0

1 2 1 1 3 1 15 1 2 51.93 4.00 0 2 0 1 1

2 3 2 2 3 1 25 2 1 40.87 2.00 0 1 0 0 0

Methodologies• Develop a MLP to start with.• After developing a model, get expert domain

knowledge, try other algorithms for modeling and comparison studies

• Compare with already published results (regression analysis) based on same data sets

“Molecular Marker Profiles Predicit Locoregional Control of Head and Neck Cell Carcinoma in a Randomized Trial of

Continuous Hyperfractioned Accelerated Radiotherapy”Buffa, Bentzen etal. Vol.10, 3745-3745, June 1, 2004

Thanks for your attention