Presented by: Atif Ghafoor (16-22003) Supervisor: Dr Adnan Arshad - - PowerPoint PPT Presentation

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Presented by: Atif Ghafoor (16-22003) Supervisor: Dr Adnan Arshad - - PowerPoint PPT Presentation

ANALYSIS IS OF THE DIFFERENT NTIA IAL EXPRESSIO ION N OF MICRORNA NA LET-7A AND ITS RELATIO IONS NSHIP IP TO THE MOLECULAR SUB- ClASSIF IFIC ICATIO ION OF BREAST CANC NCER IN A C COHORT Presented by: Atif Ghafoor (16-22003)


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Supervisor: Dr Adnan Arshad

ANALYSIS IS OF THE DIFFERENT NTIA IAL EXPRESSIO ION N OF MICRORNA NA LET-7A AND ITS RELATIO IONS NSHIP IP TO THE MOLECULAR SUB- ClASSIF IFIC ICATIO ION OF BREAST CANC NCER IN A C COHORT Presented by: Atif Ghafoor (16-22003)

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Breast Cancer

Heterogeneous group of disease which is govern by followings hallmarks

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Incidence and mortality of Breast cancer

According to Punjab Cancer Registry report of 2014, 1393 (44.3%) women were diagnosed with breast cancer in Punjab area

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Histological Diagnosis

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Molecular Diagnosis

  • luminal A, (ER + & low grade)
  • luminal B, (ER + but high grade)
  • tumor enriched with human epidermal growth factor

receptor 2 (Her2),

  • basal-like (ER-, PR-, HER2/ Nue -)
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Research Query

 Breast Cancer had been studied extensively at the molecular level but most of the molecular mechanisms underlying its progression and metastasis remain poorly understood  This has led to a significant interest in the quest for novel predictive markers for breast cancer  Intensifying research in miRNA studies has resulted in the identification and confirmation of aberrant miRNA expression in a number of human diseases including Breast Cancer

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Micro RNA

 Different types of cancers at different developmental stages display unique expression profiles of different microRNAs  In contrast, miRNAs with anti-proliferative and proapoptotic activity function as tumor-suppressors and are under expressed in cancer cells  The

  • ncogenic

miRNAs (oncomiRs) display anti-apoptotic activity and are over expressed in cancer cells  miRNAs are endogenous, noncoding small RNAs with 20–25 nucleotides in length  They play an important regulatory role through complimentary binding of the 3′ untranslated regions (UTRs) of target genes thus resulting in the degradation of the target mRNA and inhibition of translation

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Biogenesis of microRNA

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Ref: Yin-Yuan et al, Jour of Cancer Biology & Therapy, 2013.14:3,201-212

miRNA in Breast Cancer

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Let-7 family of miRNA

a, b, c, d, e, f, g, i

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  • To evaluate the miRNA let 7a expression in breast cancer and

fibroadenoma

  • To evaluate the expression of Let-7a in Relationship To The

Molecular Sub Classification Of Breast Cancer

OBJECTIVE OF THE STUDY

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Material & Method

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Experimental Site

FCCU Biological Science Labs

Study Duration

6-8 months

Advanced Study Board Approval Sample Type

FFPE Tissue

Study Design

(Retrospective)

Data Analysis

SPSS or Graphpad Prism 6

Sample Size

50

Sample Collection UHS

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Inclusion Criteria: Histologically confirmed diagnosed cases

  • f

breast cancer Females Ages Eligible for Study: 30 Years to 65Years Exclusion criteria: Males patients <30 or >65 of age History or presence of other cancers

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Extraction of Total nucleic Acid

Ambion (ThermoFisher Scientic) (According to manufacturer instructions)

RNA purity was assessed using a Nanodrop 2000

qRT-PCR

Taq man Advanced miRNA kit Assay I.D 478575

Analysis of product FFPE Blocks

20 μm Scetion

Preparation of cDNA

ThermoFisherScientic

IHC Staining ER-Alpha, Beta AR, HER2/Nue

Analysis of slides by pathologist

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Re Results ts

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  • Nodular and encapsulated
  • Epithelial proliferation appears in a single

terminal ductal unit

Histological appearance of Fibroadenoma

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  • Desmoplastic reaction in stroma

(abundant fibrosis and collagen deposition)

  • Round to oval nuclei with few mitoses
  • Tumor necrosis

Histological appearance of IDC

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Molecular Sub Classifi fication of Breast Cancer

38 % 5% 23% 33%

Molecular sub classification Percentage of patient

LuminalA Luminal B Her 2-Nue TNB

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Immunohis unohistoc

  • chemis

hemistry y (IHC) ) on tissue ue samples les

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Luminal A

ER-α + HER2/Nue -

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Luminal B

ER-α + HER2/Nue +

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Her 2 enrich iched

5 10 15 20 25 30 35 40 45

No of cases

Total Cases TNB Cases

Triple Negat ativ ive

5 10 15 20 25 30 35 40

No of cases

Axis Title

Total Cases No of case

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ER-b and AR Expression

Estrogen Receptor-b + Androgen Receptor +

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10 20 30 40 50 60 70 80 90 100

Negative Positive Negative Positive ER-β AR

Percentage

ER-b and AR Expression

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Expression of Let-7a

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  • 60
  • 40
  • 20

20 40 60 80 100 120

Fold Increase/Decrease

Molecular subtype of breast cancer

U6 Fibroadenoma LuminalA Luminal B HER2-Nue TNB

Let7a is decreased in invasive ductal carcinoma (IDC) but over expressed in Fibroadenoma

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Let 7a dow

  • wn

n regula ulation ion in high h grade de & stage e II and III IDC

21 7 14 5 10 15 20 25 1 2+3 STAGE 0 STAGE I STAGE II STAGE III STAGE IV GRADE STAGE Let 7a Down Expression

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IDC and FA showed inverse expression of let-7a a with AR and ER ER-beta a recepto ptor staining

Parameters

Let-7a Expression in IDC

No of cases Down Percentage UP Percentage AR Positive

34 1 3

Negative

21 62 12 35

ER

  • β

Positive

34 16 47 10 29

Negative

5 15 3 9

Parameters

Let-7a Expression in Fibroadenoma

No of cases Down Percentage UP Percentage AR Positive

5 1 20 4 80

Negative ER

  • β

Positive

5 5 100

Negative

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Conclus lusion ion

  • Let 7a down regulation seen in cases of invasive ductal carcinoma
  • We identified that let-7a down regulation directly correlates with

increase grade of invasive ductal carcinoma

  • In Benin breast cancer disorder like fibroadenoma shows increase

microRNA let-7a expression.

  • let 7a expression is a predictive of molecular subtyping in breast

cancer

  • Inverse correlation of miRNA let-7a exist in breast cancer related to

ER-β and AR

  • Altered let-7 family expression is likely to contribute to cancer formation

and also progression

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  • We will include other types of let-7a family member to device molecular

signature

Future Prospects of the study

  • Use of these unique microRNA expression patterns as tumor diagnostic

and prognostic tools, but also for future microRNA gene therapy

  • We will try to increase no of cases and controls
  • We will diversifies group by including's of others types of breast cancer
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