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    Breast tissue diagnosis by

    Raman spectroscopyB. Broek-Puska*, J.Surmacki*, J. Jaboska**, R. Kordek**,

    H. Abramczyk*

    *Laboratory of Laser Molecular Spectroscopy,

    Institute of Applied Radiation Chemistry,

    Technical University of d, Faculty of Chemistry, Poland

    **Department of Oncology, Medical University of d, Poland

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    GOAL

    Some substances are produced by the organism in response to the

    cancers presence. They are called tumor markers.

    Tumor markers are molecules occurring in blood or tissue that are

    associated with cancer and whose measurement or identification is useful in

    patient diagnosis or clinical management. The ideal marker would be a

    blood test for cancer in which a positive result would occur only in

    patients with malignancy, one that would correlate with stage and response

    to treatment and that was easily and reproducibly measured. No tumor

    marker now available has met this ideal.

    We believe that optical methods including Raman spectroscopy will provide such

    a marker. Possibly it will help to find the hallmarks of cancer.

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    immediate in vivo diagnosis

    reduction the number of biopsies

    combination of biochemical and histopathological

    diagnosis provides more information because pathology

    is intimately related to biochemistry

    method has a potential to remove human interpretation

    non-invasive,non-ionizing method that probes with

    chemical specificity vibrations and fluorescence (not just

    structure) extremaly high spatial resolution (optical imaging)

    Why ?

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    Human speciemens obtained from surgery. Upon

    removal during the operation, the ex vivo sample is

    devided by a doctor into two parts, one goes to our lab

    the second goes to the pathology examination

    The ex vivo samples are neither frozen in liquidnitrogen for storage nor fixed in formalin, the fresh

    tissue is measured immeditely after delivering from

    the hospital

    The samples for pathology measurements are

    passively thawed at room temperature and kept

    moist with PBS fixed in formalin

    Cut through the marked locations into 5-m-thicksections, and stained with eosin

    normal tissue

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    0 500 1000 1500 2000 2500 3000 3500 4000

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    514nm, normal tissue

    25mW

    100mW

    Intensity

    (arbitrary

    units)

    Raman shift in wavennumbers [cm-1

    ]

    0 5 00 1 00 0 1 50 0 2 00 0 2 50 0 3 00 0 3 50 0 4 00 0

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    514nm, 100mW, cancer

    Inten

    sity

    (arbitrary

    units)

    Raman shift in wavennumbers [cm-1]

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    maligant tissue

    Tissue Preparation

    carcinoma mammae fibroadenoma mammae

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    Measurements Parameters

    The laser excitation is 514 nm, the spot is d=500 m in diameter

    Light diffusion in the tissue results in a spot of v1mm

    Integration time 0.5 s

    Spectral resolution 2 and 8 cm -1

    The laser excitation power: 25 mW, 100mW

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    Patients Statistics

    1100 spectra from 100 patients

    fibroadenomas

    infiltrating carcinoma

    infiltrating ductal carcinoma (IDC)

    infiltrating lobular carcinoma (ILC)

    IDC+ILC

    multifocal carcinoma

    carcinoma microinvasive

    intracystic papillary carcinoma (noninvasive)

    carcinoma mucinosumcarcinoma intraductal microinvasive

    benign dysplasia

    dysplasia benign dysplasia (cystes, apocrinal metaplasia,adenosis)

    ductal-lobular hyperplasia

    cystic mastopathy

    0 1000 2000 3000 4000 5000 6000 7000 80000

    1000

    2000

    3000

    40000014 KT - normal tissue

    25mW

    514 541 572 607 647 691 743 802 872 [nm]

    relative wavenumber [cm-1]

    Intensity

    [counts/s]

    0 1000 2000 3000 4000 5000 6000 7000 80000

    1000

    2000

    3000

    40000014 KT - carcinoma lobulare infiltrans mammae

    25mW

    514 541 572 607 647 691 743 802 872 [nm]

    relative wavenumber [cm-1]

    Intensity

    [counts/s]

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    Comparison between the Raman spectra for normal and

    malignant tissue (infiltrating ductal carcinoma (IDC))

    0 1000 2000 3000 4000 5000 6000 7000 80000

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    12500

    15000

    25mW

    0006 KT - normal tissue

    514 541 572 607 647 691 743 802 872 [nm]

    relative wavenumber [cm-1]

    Intensity

    [counts/s]

    0 1000 2000 3000 4000 5000 6000 7000 80000

    2500

    5000

    7500

    10000

    12500

    15000

    25mW

    0006 KT - carcinoma ductale infiltrans G2

    514 541 572 607 647 691 743 802 872 [nm]

    relative wavenumber [cm-1]

    Intensity

    [counts/s]

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    Quenching of autofluorescence by low temperature Raman

    spectroscopy

    0 5 00 1 00 0 1 50 0 2 000 2 50 0 3 000 3 50 0 4 00 0

    -500

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    normal tissue - patient nr 90

    intensity

    (cts/s)

    wavenumber (cm-1)

    K90T33 - 250K

    K90T34 - 200K

    K90T35 - 170K

    K90T36 - 150K

    K90T37 - 110K

    K90T38 - 77K

    0 500 1000 1500 2000 2500 3000 3500 4000

    -100

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    100

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    cancer tissue - patient nr 90

    intensity

    9cts/s)

    wavenumber (cm-1)

    K90T14 - 250K

    K90T15 - 200K

    K90T16 - 170K

    K90T17 - 150K

    K90T18 - 110K

    K90T19 - 77K

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    Comparison between the Raman spectra for normal and

    malignant tissue (carcinoma mucinosum )

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    -500

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    Y

    AxisTitle

    X Axis Title

    K14T2 (carcinoma mucinosum mammae sinistri)K14T2 (normal tissue)

    wavenumber [1/cm]

    intensity

    [cts/s]

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    Comparison between the Raman spectra for normal and benign

    tumour tissue (fibroadenoma)

    0 2000 4000 6000 8000

    0

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    YA

    xisTitle

    X Axis Title

    K31T5 (normal tissue)

    K31T8 (Fibroadenoma mamae)

    wavenumber [1/cm]

    intensity

    [cts/s]

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    PRINCIPAL COMPONENT ANALYSIS (PCA)PLS_Toolbox Version 4.0

    for use with MATLAB

    Barry M. WiseNeal B. GallagherRasmus BroJeremy M. Shaver

    Willem WindigR. Scott Koch

    Eigenvector Research, Inc.3905 West Eaglerock Drive

    Wenatchee, WA 98801

    [email protected]

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    1

    PCA score plot mean center, SNV, 1-st derivative

    -1 -0.5 0 0.5 1 1.5 2-1.4

    -1.2

    -1

    -0.8

    -0.6

    -0.4

    -0.2

    0

    0.2

    0.4

    Scores on PC 1 (66.25%)

    ScoresonPC2(7

    .70%)

    cc

    hc

    hhh

    h

    h

    c

    c h

    c

    c

    c

    h

    h

    c

    h

    h

    hh

    hw

    w

    h

    hc h

    ccc h

    c

    c

    c hc

    c

    c

    hw

    ww

    w

    w

    h

    w

    www

    hww w

    hh

    hcc c h

    c

    cc

    h

    Samples/Scores Plot of HY

    Decluttered

    10

    20

    30

    40

    50

    60

    No Raman peaks Intensive Raman peaks

    Normal tissue

    Malignant tissue

    High autofluorescence

    Low autofluorescence

    Benign

    tissue

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    500 1000 1500 2000 2500 3000 3500-0.2

    -0.15

    -0.1

    -0.05

    0

    0.05

    0.1

    0.15

    0.2

    wavenumber (cm-1)

    Load

    ingsonPC1(66.2

    5%)

    Variables/Loadings Plot for HY

    0

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    1

    C-H

    streching

    lipids

    C-C and

    C=C

    stretching

    carotenoids

    PCA loading plot mean center, SNV, 1-st derivative

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    CONCLUSIONS

    The results clearly illustrates the ability of Raman

    spectroscopy to accurately diagnose breast cancer anddemonstrates how the diagnostic scheme can be adjusted toobtain the desired degree of sensitivity and specificity(88%,72%)

    The normal tissue has a characteristic bands: C-C (1110 cm-1)and C=C (1520 cm-1) stretching bands of carotenoids and at

    2840-2900 cm-1 for the C-H symmetric and asymmetric bands oflipids (fat) which are not visible in the malignant tissue and inbenign tumor tissue. Moreover, the fluorescence is much higherin the malignant tissue.

    We belive that in a very near future a good quality Raman

    signal will be obtained with the optical fibers coupled with abiopsy needle and incorporated into Raman spectrometer forbreast tissue measurements in vivo.