Paper II — 2023 July (Supplementary) (2019 Scheme) — Q7
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Paper II
2023 July (Supplementary) (2019 Scheme) · 100 marks · 180 min
Question
Prognostic and predictive factors for breast carcinoma
Q78 marksShort Essays
Answer
Prognostic factors predict overall outcome (survival), while predictive factors predict response to a specific therapy; several factors serve both roles in breast carcinoma.
Lymph node status — the single most important prognostic factor; number of involved axillary nodes correlates directly with recurrence risk and reduced survival.
Histologic type — e.g., tubular, mucinous, and papillary carcinomas have better prognosis than invasive ductal carcinoma (no special type) or invasive lobular carcinoma.
Patient age — younger age at diagnosis is generally associated with worse prognosis.
Predictive (and prognostic) factors:
ER/PR (Estrogen/Progesterone receptor) status — positivity predicts response to hormonal therapy (tamoxifen, aromatase inhibitors) and confers a better prognosis.
HER2/neu (c-erbB2) status — overexpression/amplification predicts response to anti-HER2 targeted therapy (trastuzumab) but is associated with a more aggressive phenotype/worse prognosis if untreated.
Molecular subtype (Luminal A, Luminal B, HER2-enriched, Basal-like/triple-negative) — derived from ER/PR/HER2/Ki-67 profile, guides both prognosis and treatment selection; triple-negative carries the worst prognosis.
These factors together (summarized in systems like Nottingham Prognostic Index) guide clinical staging, treatment planning, and counselling on outcome.