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Microsatellite Instability: Correlation with Chemotherapeutic Drugs

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Examine the incidence of microsatellite instability in colorectal cancer for the ... pharmokinetic model and the clinical pharmacology of cis-platinum, 5-fluorocil ... – PowerPoint PPT presentation

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Title: Microsatellite Instability: Correlation with Chemotherapeutic Drugs


1
Microsatellite InstabilityCorrelation with
Chemotherapeutic Drugs
  • Cheryl Bline
  • Dr Elisabeth Arévalo
  • Providence College

2
Purpose
  • Examine the incidence of microsatellite
    instability in colorectal cancer for the
    diagnosis and determination of the response to
    chemotherapeutic drugs

3
Microsatellites
  • Tandem repeats of two to four bases

4
Instability
  • Number of repeats strictly regulated in healthy
    individuals
  • Cancer patients show instability
  • Either an increase or a decrease in the number of
    repeats

5
Mismatch Repair Proteins
  • Corrects mismatched nucleotides inserted during
    DNA replication
  • Instability leads to nonfunctioning mismatch
    repair proteins
  • Nonfunctioning proteins cannot correct mistakes
    in DNA replication

6
Tumor Suppressor
  • Prevent cells from becoming cancerous
  • Expect instability in mismatch repair genes will
    correlate with mutations in tumor suppressor
    genes
  • Lead to nonfunctioning tumor suppressor gene

7
Isolated Pelvic Perfusion
  • Isolate the pelvic cavity through tourniquets on
    the thighs and balloons in the aorta and the
    inferior vena cava
  • Chemotherapeutic cocktail is infused into the
    pelvic cavity

8
Isolated Pelvic Perfusion
9
Procedure
  • Procedure lasts for 1 hour
  • Drugs are infused during first 25 minutes
  • Blood samples taken at five minute intervals
    throughout procedure
  • Systemic
  • Pelvic
  • Biopsy sample obtained when accessible

10
Chemotherapeutic Cocktail
11
Samples
Number of Patients
8 Control Samples
RCC Recurrent colorectal cancer ROC Recurrent
ovarian cancer PS Pelvic Sarcoma
12
Samples
  • Samples from the pelvic and systemic were taken
    from early and late times in the procedure
    (usually 10 and 60 minutes)
  • Plasma samples used for patients when blood not
    available
  • Tissue samples were also used when available

13
Methods
  • Centrifuge blood samples to separate plasma
  • Extract DNA from blood using QIAamp DNA Blood
    Mini Kit (81 samples)
  • PCR performed and product labeled with 35S
  • Gel electrophoresis performed to separate samples
    by size
  • Samples visualized by autoradiography

14
Analysis
  • PCR primers
  • 11 loci for mismatch repair genes
  • 4 loci for cell growth pathways
  • Locus- position of a gene on a chromosome
  • Allele- one set of alternative forms of a gene
  • Polyacrylamide gels were ran to determine the
    amount of allelic variation and to assess the
    degree of instability from these results

15
Analysis
  • Control samples (8) from individuals who are not
    known to have cancer were used for comparison
  • Samples were also compared between pelvic and
    systemic within one patient
  • The samples were ran against a known ladder
    sequence (m13mp18) to determine size

16
Results
  • Differences within one patient
  • D5S346
  • D17S250
  • Differences between patients and control
  • ACTC
  • D3S1611
  • Special case

17
Fixed Differences Within Patients Samples
Each patient shown with pelvic and systemic
samples, C denotes control samples Allele sizes
determined with the use of m13mp18
18
Fixed Differences Between Patient and Control
D3S1611
ACTC
19
Special Case
  • One patient went into remission for two years
  • First procedure in January 2003
  • Cisplatin
  • Second procedure in March 2003
  • Oxaliplatin
  • Remission for two years
  • Third procedure March 2005

20
Conclusions
  • Variation
  • Within one patient
  • Between patients and controls
  • Variation may be useful in diagnosis and
    determining the effectiveness of treatment

21
Further Research
  • Examine differences in patient that attained
    remission
  • How did the alleles change over time
  • How do the alleles compare to other patients who
    do not attain remission
  • Sequence with the cell growth genes
  • TGF-?-RII, ACTC, TP53, BAX

22
Acknowledgement
  • Dr James Belliveau (PC Chemistry Dept)
  • Dr Harold Wanebo and Roger Williams Medical
    Center
  • PC Students
  • Carol Geddes (04), Nate Mockler (06), Jen
    Deiana (05), Elizabeth Benz (07), Julie
    Mausolf-Mark (07)

(Supported by BRIN/INBRE from the NIH)
23
References
  • Wanebo, H. J., and Belliveau, J. F., 1999. A
    pharmokinetic model and the clinical pharmacology
    of cis-platinum, 5-fluorocil and mitomycin-C in
    isolated pelvic perfusion. Cancer Chemother.
    Pharmaco, 43427-434.
  • Mariadson, J. M., Arango, A., Qiuhu, S., Wilson,
    A. J., Corner, G., Nicholas, C., Aranes, M.,
    Lesser, M., Schwartz, E. L., and Augenlicht, L.
    H., 2003. Gene expression profiling-based
    prediction of response of colon carcinoma cells
    to 5-fluorouracil and camptothecin. Cancer
    Research, 638791-8812.
  • Sergent, C., Franco, N., Chapusot, C.,
    Lizard-Nacol, S., Isambert, N., Correia, M., and
    Chauffert, B., 2002. Human colon caner cells
    surviving high doses of cisplatin or oxaliplatin
    in vitro are not defective in DNA mismatch repair
    proteins. Cancer Chemother Pharmacol, 49445-452.
  • Schiemann, U., Muller-Koch, Y., Gross, M., Daum,
    J., Lohse, P., Baretton, G., Muders, M., Musack,
    T., Kopp, R., and Holinski-Feder, E., 2004.
    Extended microsatellite analysis in
    microsatellite stable, MSH2 and MLH1
    mutation-negative HNPPC patients genetic
    reclassification and correlation with clinical
    features. Digestion, 69166-176.
  • Alberts, B., Johnson, A., Lewis, J., Raff, M.,
    Roberts, K., and Walter, P., 2002. Molecular
    Biology of the Cell Fourth Edition. pp. 243, 282,
    412. New York Garland Science.
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