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    1.Genetic Mutations in Cancer

    1.Genetic Mutations in Cancer

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    1. General Genetic Changes in Cancer

    Cancer cells acquire a range of genetic alterations:

    Small-scale changes

    • Point mutations = single-nucleotide substitutions

    Large-scale chromosomal abnormalities

    • Translocations
    • Inversions
    • Deletions
    • Amplifications

    Nonrandom chromosomal patterns

    • Especially seen in:
      • leukemias
      • lymphomas

    These recurrent changes target:

    • oncogenes
    • tumor suppressor genes
    • DNA repair genes

    → promote:

    • malignant transformation
    • selective growth advantage
    • support the hallmarks of cancer

    Analogy: point mutations = small chips; chromosome rearrangements = big structural moves.

    2. Driver vs Passenger Mutations

    Driver mutations

    • Directly promote cancer progression
    • Act by altering cancer genes
    • Usually acquired during life, but can be inherited
    • Cluster in key pathways

    Passenger mutations

    • Random, neutral, do not change tumor behavior
    • Scattered across genome

    Why passengers still matter

    • Reveal carcinogen footprints
      • e.g., melanoma carries thousands of UV-signature mutations showing UV exposure
    • Can seed therapy resistance if a previously neutral passenger becomes advantageous under drug pressure

    Hooks:

    • Drivers steer the cancer
    • Passengers ride along
    • UV fingerprints in melanoma
    • Some passengers “speak up” during treatment → resistance

    3. Point Mutations in Cancer

    • Definition: change in one DNA base

    Gain-of-function → proto-oncogene activation

    • A point mutation can convert proto-oncogene → oncogene
    • Often by changing amino acids in a regulatory domain
    • Produces overactive signaling

    Classic example: RAS

    • Normal RAS cycles:
      • ON when bound to GTP
      • OFF when bound to GDP
    • Mutated RAS:
      • Locked ON (GTP-bound)
      • Continuous proliferation signaling

    Hook:

    • Proto-oncogene activation = green light
    • RAS = gas pedal stuck down

    Loss-of-function → tumor suppressor inactivation

    • Point mutations or small insertions/deletions (indels)
    • Remove checkpoint control

    Most common suppressor hit: TP53

    • Normal TP53:
      • After DNA damage → induces cell-cycle arrest or apoptosis
    • Mutant TP53:
      • Checkpoint fails → genomic instability

    Hook:

    • TP53 = tumor police

    4. Gene Rearrangements (Structural Changes)

    Definition

    Chromosomal reshuffling such as:

    • translocations
    • inversions

    These cause cancer by:

    • overexpression of oncogenes OR
    • formation of fusion genes (chimeric oncoproteins)

    Seen mainly in:

    • hematopoietic tumors
    • sarcomas
    • some carcinomas

    Mechanism A — Overexpression (enhancer hijacking)

    A proto-oncogene moves next to a strong promoter/enhancer → excess protein.

    Examples:

    • t(8;14) Burkitt lymphoma
      • MYC under Ig heavy-chain enhancer → MYC overexpression
    • t(14;18) follicular lymphoma
      • BCL2 overexpressed → anti-apoptotic

    Mechanism B — Fusion Genes

    Two genes fuse → abnormal oncoprotein with novel function.

    Examples:

    • t(9;22) Philadelphia chromosome in CML
      • BCR-ABL fusion → constitutively active tyrosine kinase
    • t(11;22) Ewing sarcoma
      • EWS-FLI1 fusion transcription factor

    Why lymphoid tumors are prone

    • B and T cells intentionally break and join DNA during:
      • Ig recombination
      • TCR recombination
    • Errors can activate oncogenes

    Myeloid neoplasms & sarcomas

    • Often have:
      • fusion kinases (e.g., BCR-ABL)
      • fusion transcription factors (e.g., EWS-FLI1)

    Why carcinomas seemed genetically quiet initially

    • Large cytogenetic rearrangements were hard to detect using microscopy

    Later, sequencing revealed cryptic rearrangements:

    • e.g., EML-ALK fusion in lung cancer

    Summary Comparison Table

    Subtopic
    Core mechanism
    Key genes/features
    Typical tumor types
    Clinical consequence
    General genetic changes
    point mutations + rearrangements (translocations, inversions, deletions, amplifications)
    target oncogenes, tumor suppressors, DNA repair genes
    leukemias, lymphomas show recurrent patterns
    selective growth advantage + malignant transformation
    Driver vs passenger
    Drivers are causal + clustered; Passengers neutral + scattered
    drivers acquired>inherited; passengers random
    all cancers
    passengers mark exposures + seed therapy resistance
    Point mutations
    single-base substitutions → gain or loss function
    RAS ON; TP53 loss; small indels
    broad: solid + hematologic
    RAS ON → proliferation; TP53 loss → genomic instability
    Gene rearrangements
    enhancer hijacking OR fusion proteins
    MYC-Ig t(8;14), BCL2 t(14;18), BCR-ABL t(9;22), EWS-FLI1 t(11;22), EML-ALK
    hematopoietic tumors, sarcomas, some carcinomas
    constitutive signaling; diagnostic + therapeutic targets

    Key memory anchors

    • Tiny changes (points) + big changes (chromosome moves)
    • Drivers steer, passengers ride
    • RAS stuck ON
    • TP53 lost = checkpoints failed
    • MYC, BCL2, BCR-ABL = classic rearrangement targets
    • EWS-FLI1 + EML-ALK = fusion oncogenes revealed by advanced sequencing