QUESTION 4 - Short Notes (40 Marks Total)
A. Molecular Classification of Endometrial Carcinoma
Background
Traditional histological classification of endometrial carcinoma (EC) into Type I (endometrioid, low-grade, estrogen-driven) and Type II (serous, clear cell, high-grade) was clinically useful but had significant interobserver variability and limited prognostic precision. The Cancer Genome Atlas (TCGA) project (2013) and subsequent studies transformed EC classification by identifying four molecularly distinct subtypes with reproducible prognostic and therapeutic implications.
The Four TCGA Molecular Subtypes
| Subtype | Frequency | Key Molecular Feature | Histology | Prognosis |
|---|
| POLE ultra-mutated | ~7-12% | Exonuclease domain mutations in POLE gene | Usually endometrioid, grade 3 | Excellent (best) |
| MSI-H / MMR-deficient | ~28-30% | Microsatellite instability-high; MLH1 promoter methylation (sporadic) or Lynch syndrome (germline MMR) | Usually endometrioid, grade 1-2 | Intermediate-good |
| Copy Number Low (CNL) / NSMP | ~39% | No specific molecular profile; ER/PR+ | Usually endometrioid, low-grade | Intermediate |
| Copy Number High (CNH) / p53 abnormal | ~26% | TP53 mutations, marked genomic instability, serous-like | Serous or grade 3 endometrioid | Worst |
(Kumari et al., Cancers 2025, PMID: 41514564)
Subtype Details
1. POLE Ultra-Mutated (POLEmut)
- Mutations in the proofreading exonuclease domain of DNA polymerase epsilon (POLE) - most commonly P286R, V411L
- Results in extremely high somatic mutation burden (ultramutated: >100 mutations/Mb)
- High tumour-infiltrating lymphocytes (TILs) - immune-hot tumour
- Despite often being grade 3 and with high-risk histological features, prognosis is EXCELLENT - this is the key paradox
- Now recognized in the 2023 ESGO/ESTRO/ESP guidelines to allow de-escalation of adjuvant therapy
- May respond well to immune checkpoint inhibitors (due to high mutational burden)
2. MMR-Deficient / MSI-High (MMRd)
- Loss of MMR proteins (MLH1, MSH2, MSH6, PMS2) detectable by IHC
- ~80% due to MLH1 promoter hypermethylation (sporadic); ~20% due to Lynch syndrome germline mutations
- All patients with MMRd EC should be screened for Lynch syndrome (germline testing)
- MSI-H tumours are eligible for pembrolizumab (anti-PD-1) - FDA approved in MSI-H solid tumours
- Dostarlimab is approved for MMRd recurrent/advanced EC (RUBY trial)
3. No Specific Molecular Profile (NSMP) / Copy Number Low
- Largest group; characterized by low copy number variation and absence of POLE mutations, MMR loss, or p53 abnormality
- Usually ER/PR positive, low-grade endometrioid
- Intermediate prognosis
- Hormone receptor positivity suggests benefit from endocrine therapy in advanced/metastatic disease
4. p53 Abnormal / Copy Number High (CNH)
- TP53 mutations are the defining feature; detected by IHC (aberrant/null p53 expression)
- High somatic copy number alterations (SCNA), chromosomal instability
- Biologically similar to high-grade serous ovarian cancer
- Worst prognosis - highest risk of recurrence and distant metastasis
- May benefit from platinum-based chemotherapy (similar to HGSOC)
- Emerging use of PARP inhibitors and bevacizumab
Practical Implementation - The ProMisE Algorithm
Because full TCGA sequencing is not universally available, a surrogate ProMisE (Proactive Molecular Risk Classifier for Endometrial Cancer) algorithm was developed:
Step 1: POLE sequencing (hotspot mutations in exons 9, 13, 14)
→ POLEmut → POLE ultra-mutated subtype
Step 2: MMR IHC (MLH1, PMS2, MSH2, MSH6)
→ Any MMR loss → MMRd subtype
Step 3: p53 IHC (TP53 aberrant expression)
→ Aberrant p53 → p53abn subtype
Step 4: All negative
→ NSMP subtype
This allows molecular subtyping on formalin-fixed paraffin-embedded (FFPE) tissue using standard pathology resources.
Clinical Relevance (2023 ESGO/ESTRO/ESP Guidelines Integration)
The 2023 European guidelines formally integrated molecular classification into adjuvant treatment decisions:
- POLEmut: De-escalate therapy - may omit adjuvant radiotherapy even for grade 3 tumours
- MMRd: Escalate immunotherapy; Lynch syndrome counselling
- p53abn: Escalate adjuvant chemotherapy + radiotherapy
- NSMP: Standard risk stratification based on histological features
B. Recent Advances in Classification of MDS (Myelodysplastic Syndromes/Neoplasms)
Background
MDS (now renamed Myelodysplastic Neoplasms in 2022 classifications) are clonal myeloid neoplasms characterized by ineffective haematopoiesis, peripheral cytopenias, bone marrow dysplasia, and risk of transformation to AML. In 2022, two competing but overlapping classification systems were simultaneously published, representing the most significant update since 2008.
The Two 2022 Classification Systems
| Feature | WHO 5th Edition (WHO-HAEM5) | ICC 2022 (International Consensus Classification) |
|---|
| Terminology | "Myelodysplastic Neoplasms" (MDS) | "Myelodysplastic Syndromes" (MDS) |
| Blast threshold AML | ≥20% blasts | ≥10% blasts with certain mutations (AML with mutated TP53 at ≥10%) |
| Emphasis | Morphology + genetics combined | Genetics-first approach |
(Xiao et al., J Hematol Oncol 2024, PMID: 39075565)
WHO 5th Edition (2022) - MDS Entities
Major Categories:
| Entity | Key Features |
|---|
| MDS with low blasts (MDS-LB) | <5% BM blasts, <2% PB blasts; replaces MDS-SLD and MDS-MLD |
| MDS, hypoplastic (MDS-h) | Hypocellular BM (<25% cellularity); overlaps with aplastic anaemia |
| MDS with low blasts and SF3B1 mutation (MDS-SF3B1) | ≥5% ring sideroblasts OR SF3B1 mutation alone is diagnostic; favourable prognosis |
| MDS with increased blasts-1 (MDS-IB1) | 5-9% BM blasts or 2-4% PB blasts |
| MDS with increased blasts-2 (MDS-IB2) | 10-19% BM blasts or 5-19% PB blasts; OR Auer rods |
| MDS with del(5q) (MDS-5q) | Isolated del(5q) or with one additional abnormality (not -7/del7q); responds to lenalidomide |
| MDS/AML | 20% blasts (WHO) - borderline category |
| MDS, NOS (MDS-NOS) | Doesn't meet other criteria |
Key Advances in 2022 vs. Prior WHO 2016 Classification
1. Genetics Now Drive Classification
- SF3B1 mutations are sufficient to diagnose MDS-SF3B1 without requiring ≥15% ring sideroblasts (old threshold)
- TP53 mutations: Biallelic TP53 mutations (or mono-allelic with VAF >10%) now define a high-risk entity with very poor prognosis
- Spliceosome mutations (SF3B1, SRSF2, U2AF1, ZRSR2) - inform prognosis
- Epigenetic mutations (TET2, DNMT3A, IDH1/2, EZH2, ASXL1) - frequently mutated in MDS
2. "Clonal Cytopenia of Undetermined Significance" (CCUS)
- New pre-malignant entity: cytopenia + somatic mutation but no dysplasia diagnostic of MDS
- Distinguishes from CHIP (clonal haematopoiesis of indeterminate potential - no cytopenia)
- Higher risk of progression to overt MDS/AML than CHIP
3. Blast Count Changes
- The distinction between AML (≥20% blasts) and MDS-IB2 (10-19%) was refined
- MDS with Auer rods at any blast percentage is classified as MDS-IB2 (regardless of blast count if <10%)
4. Hypoplastic MDS
- Now a distinct entity (MDS-h); recognizing overlap with immune-mediated aplastic anaemia
- Important therapeutic implication: may respond to immunosuppressive therapy
5. Revised IPSS-M (Molecular IPSS)
The IPSS-M (Molecular International Prognostic Scoring System) was introduced in 2022, incorporating:
- 31 gene mutations in addition to traditional IPSS-R parameters (cytopenias, blast %, cytogenetics)
- Provides more accurate risk stratification than IPSS-R alone
- Categories: Very Low, Low, Moderate-Low, Moderate-High, High, Very High
| IPSS-M Category | Median Survival |
|---|
| Very Low | ~10.6 years |
| Low | ~5.8 years |
| Moderate-Low | ~3.6 years |
| Moderate-High | ~2.3 years |
| High | ~1.4 years |
| Very High | ~0.7 years |
6. Therapeutic Implications of New Classification
- MDS-SF3B1: Luspatercept (activin receptor ligand trap) - FDA approved; reduces transfusion burden
- MDS-5q: Lenalidomide remains standard
- High-risk MDS (IB1/IB2): Hypomethylating agents (azacitidine, decitabine); allo-HSCT
- TP53-mutant MDS: APR-246 (eprenetapopt) - in trials; poor prognosis
- IDH1/IDH2 mutant: Ivosidenib/enasidenib - targeted therapy
C. PD-1/PD-L1 Axis and Its Score in Immunotherapy
The PD-1/PD-L1 Pathway - Biology
PD-1 (Programmed Death-1 / CD279):
- A type I transmembrane receptor belonging to the CD28 superfamily
- Expressed on activated T cells, B cells, NK cells, monocytes, and dendritic cells
- Acts as an inhibitory checkpoint receptor - its natural physiological role is to prevent autoimmunity by dampening T-cell activity
PD-L1 (Programmed Death Ligand-1 / CD274 / B7-H1):
- Expressed on tumour cells, tumour-infiltrating immune cells, and normal tissues
- Also expressed constitutively on many normal tissues to protect against autoimmunity
PD-L2 (CD273 / B7-DC):
- Second ligand for PD-1; primarily expressed on dendritic cells and macrophages
Mechanism of the PD-1/PD-L1 Axis
Normal Physiological Role:
PD-1 engagement by PD-L1 on normal cells inhibits T-cell receptor (TCR) signalling, preventing tissue damage from over-exuberant immune responses.
Tumour Immune Evasion:
Tumours exploit this pathway by upregulating PD-L1 on their surface (driven by IFN-γ from TILs, oncogene signalling, hypoxia), effectively "turning off" anti-tumour T cells that express PD-1. This is called adaptive immune resistance.
Molecular Signalling (When PD-1 is Ligated):
PD-1 + PD-L1 binding
↓
Phosphorylation of ITSM motif in PD-1 cytoplasmic tail
↓
Recruitment of SHP-1/SHP-2 phosphatases
↓
Dephosphorylation of CD28 and ZAP-70
↓
Inhibition of PI3K/Akt and RAS/ERK pathways
↓
T cell exhaustion: ↓ IL-2, IFN-γ, TNF-α production
↓ T cell proliferation
↓ Cytotoxic activity
Checkpoint Inhibitors Targeting PD-1/PD-L1
Anti-PD-1 antibodies:
| Drug | Approval |
|---|
| Pembrolizumab (Keytruda) | Melanoma, NSCLC, HNSCC, MSI-H tumours, TNBC, endometrial, cervical, gastric, Hodgkin lymphoma, TMB-high tumours |
| Nivolumab (Opdivo) | Melanoma, NSCLC, RCC, HCC, gastric, HNSCC, urothelial |
| Cemiplimab (Libtayo) | Cutaneous SCC, NSCLC, BCC |
Anti-PD-L1 antibodies:
| Drug | Approval |
|---|
| Atezolizumab (Tecentriq) | NSCLC, urothelial, TNBC, HCC |
| Durvalumab (Imfinzi) | NSCLC (stage III), biliary tract, small cell lung |
| Avelumab (Bavencio) | Merkel cell carcinoma, urothelial |
PD-L1 Scoring in Immunotherapy
PD-L1 expression is assessed by immunohistochemistry and is used as a predictive biomarker for immunotherapy benefit. Multiple scoring systems are used, depending on the tumour type and the companion diagnostic IHC assay used in the approval trial.
1. Tumour Proportion Score (TPS)
- Definition: Percentage of viable tumour cells showing partial or complete membrane staining for PD-L1, regardless of staining intensity
- Formula: TPS = (number of PD-L1+ tumour cells / total viable tumour cells) × 100
- Used in: NSCLC (22C3 assay - Pembrolizumab); also HNSCC, cervical, gastric cancer
- Thresholds in NSCLC:
- TPS ≥50%: Pembrolizumab monotherapy first-line (KEYNOTE-024)
- TPS 1-49%: Pembrolizumab + chemotherapy (KEYNOTE-189)
- TPS <1%: Pembrolizumab not recommended as monotherapy
2. Combined Positive Score (CPS)
- Definition: Number of PD-L1 staining cells (tumour cells + lymphocytes + macrophages) divided by total viable tumour cells, multiplied by 100
- Formula: CPS = (PD-L1+ tumour cells + PD-L1+ lymphocytes + PD-L1+ macrophages) / total viable tumour cells × 100
- Maximum possible CPS = unlimited (can exceed 100)
- Used in:
- Gastric/GEJ cancer: CPS ≥1 for nivolumab (CheckMate-649); CPS ≥5 for pembrolizumab (KEYNOTE-590)
- Cervical cancer: CPS ≥1 for pembrolizumab (KEYNOTE-826)
- TNBC: CPS ≥10 for pembrolizumab (KEYNOTE-522)
- HNSCC: CPS ≥1 for pembrolizumab (KEYNOTE-048)
- Endometrial cancer (MMR-proficient): CPS ≥10 for pembrolizumab + lenvatinib (KEYNOTE-146)
- Esophageal SCC: CPS ≥10 for pembrolizumab
3. Tumour Area Positivity (TAP) / IC Score
- IC score (Immune Cell score): Percentage of tumour-infiltrating immune cells staining for PD-L1
- Used with atezolizumab in urothelial carcinoma (SP142 assay) and TNBC (IMpassion130)
- IC 1%: Cut-off for atezolizumab benefit in TNBC
Companion Diagnostic Assays - Not Interchangeable
| Assay | Clone | Platform | Approved Indication |
|---|
| PD-L1 IHC 22C3 | 22C3 | Dako Autostainer | Pembrolizumab (NSCLC, HNSCC, cervical, gastric, TNBC) |
| PD-L1 IHC 28-8 | 28-8 | Dako Autostainer | Nivolumab (NSCLC, melanoma) |
| VENTANA SP263 | SP263 | Ventana BenchMark | Durvalumab (NSCLC), pembrolizumab |
| VENTANA SP142 | SP142 | Ventana BenchMark | Atezolizumab (urothelial, TNBC) |
Critical note: Different assays are NOT fully interchangeable due to different antibody clones, staining platforms, and scoring algorithms. However, Blueprint Phase II comparability studies showed 22C3, 28-8, and SP263 have reasonable concordance for TPS in NSCLC.
Predictive vs. Prognostic Value of PD-L1
- PD-L1 is primarily a predictive biomarker (predicts response to anti-PD-1/PD-L1 therapy)
- It has limited prognostic value on its own
- Important limitations: PD-L1 expression is heterogeneous (intratumoral and intertumoral), changes with therapy, differs between primary and metastatic sites, and does not always predict response - some PD-L1-negative tumours still respond to immunotherapy (especially MSI-H tumours)
D. Role of Quality Control (QC) in the Hematology Laboratory
Definition
Quality Control (QC) in the hematology laboratory refers to a set of procedures designed to detect errors in the analytical process and ensure that results reported to clinicians are accurate, precise, and reliable. It forms a core component of the overall Quality Management System (QMS).
Why QC is Critical in Haematology
The hematology laboratory performs tests that directly impact life-or-death clinical decisions: transfusion triggers (Hb), bleeding risk assessment (platelet count), infection management (WBC/differential), leukaemia diagnosis, and anticoagulation monitoring. Errors in these results can lead to:
- Unnecessary/missed transfusions
- Missed leukaemia diagnoses
- Incorrect chemotherapy dosing
- Sepsis under/over-treatment
Types of QC in the Hematology Laboratory
1. Internal Quality Control (IQC)
Performed within the laboratory daily to monitor analytical performance:
a) Commercial QC Materials
- Whole blood controls at 3 levels: low (anaemia range), normal, and high (polycythaemia/thrombocytosis range)
- Run at the beginning of each shift, after instrument maintenance, after reagent change, and after calibration
- Commercially stabilized blood cells (e.g., Bio-Rad Liquichek, Sysmex XN-series controls)
b) Statistical QC Rules - Westgard Rules
The most widely applied QC rules in hematology:
| Rule | Symbol | Action |
|---|
| 1 control value exceeds mean ±2SD | 1₂ₛ | Warning (not rejection) |
| 1 control value exceeds mean ±3SD | 1₃ₛ | Reject - random error |
| 2 consecutive values exceed mean ±2SD on same side | 2₂ₛ | Reject - systematic error |
| R between two controls >4SD | R₄ₛ | Reject - random error |
| 4 consecutive values exceed mean ±1SD on same side | 4₁ₛ | Reject - systematic error (trend) |
| 10 consecutive values on same side of mean | 10ₓ̄ | Reject - systematic shift |
c) Levey-Jennings Charts
- Graphical representation of QC results over time plotted against mean ± SD limits
- Allow visual detection of trends, shifts, and random errors
- Trend: Progressive drift in one direction over ≥5 consecutive points
- Shift: Abrupt change to a new mean level
d) Moving Average / X-B Analysis
- Used for CBC parameters; calculates moving average of patient RBC indices (MCV, MCH, MCHB) over batches of 20 patients
- Flags instrument drift without using external controls
- Particularly useful for MCV, MCH, MCHB - these are physically stable indices
2. External Quality Assessment (EQA) / Proficiency Testing
- PT/EQA schemes (e.g., UKNEQAS for haematology, CAP proficiency testing, EQAS)
- Unknown samples distributed to participating laboratories; results compared to peer group
- Assesses accuracy (agreement with peer laboratories and assigned target values)
- Identifies systematic biases not detected by IQC
- Mandatory for accreditation (ISO 15189, CAP, NABL)
3. Delta Checks (Patient-Based QC)
- Compares current patient result with the same patient's previous result
- Alerts generated when change exceeds a defined delta limit
- Useful for detecting specimen labelling errors (wrong patient), hemolysis, and dilution errors
- Example: Hb dropping by >3 g/dL without clinical explanation triggers a delta check flag
4. Morphological QC - Blood Film Review
- Mandatory peripheral blood film review when CBC flags are triggered (blast flags, variant lymphocyte flags, platelet clumping alerts, immature granulocyte flags)
- ICSH guidelines define criteria for mandatory blood film review
- Internal QC for morphology: use of documented reference images, proficiency testing slides, and standardized reporting terminology
QC for Specific Hematology Instruments
Automated Haematology Analyzers (e.g., Sysmex XN, Beckman DxH, Abbott CELL-DYN)
Key parameters monitored:
- CBC parameters: Hb, RBC, WBC, PLT, MCV, MCH, MCHB, HCT, RDW
- Differential counts: 5-part or 3-part WBC differential
- Reticulocyte counts
- Extended parameters: IPF (Immature Platelet Fraction), RET-He, IG%
Calibration:
- Fresh whole blood calibrators traceable to international reference methods (ICSH/CLSI standards)
- Hb calibrated using the cyanmethaemoglobin reference method (HiCN)
- RBC/PLT calibrated using reference photometric methods
Coagulation Analyzers (PT, APTT, Fibrinogen, D-dimer)
- Daily IQC with commercial plasma controls at normal and abnormal levels
- INR calibration using International Sensitivity Index (ISI) of the thromboplastin reagent
- Special QC for anti-Xa levels in LMWH monitoring
Point-of-Care Testing (POCT) - e.g., bedside Hb, INR, ABG analyzers
- Requires its own QC program separate from the central laboratory
- Electronic QC (e-QC) and liquid QC
- Staff competency assessment essential
QC Documentation and Regulatory Requirements
| Requirement | Standard/Body |
|---|
| QC records retained for ≥2 years | CLIA, ISO 15189 |
| Daily QC before patient results released | CLIA, CAP |
| EQA participation mandatory | ISO 15189, NABL, CAP |
| QC review and corrective action documentation | ISO 15189 §6.8 |
| Uncertainty of measurement calculated | ISO 15189 §7.3 |
Six Sigma in the Hematology Laboratory
Modern QC incorporates Six Sigma metrics to evaluate analytical performance:
- Sigma metric = (TEa - bias) / CV
- TEa = Total Allowable Error (from CLIA, biological variation databases)
- Bias = from EQA or method comparison
- CV = coefficient of variation from IQC
| Sigma Level | Quality | QC Strategy |
|---|
| ≥6 | World class | Minimal QC (1 control/day) |
| 4-6 | Good | Standard Westgard rules |
| 3-4 | Marginal | Intensive QC, investigate |
| <3 | Unacceptable | Do not report; method improvement needed |
Key References
- Kumari A et al. "Molecular Classification of Endometrial Carcinomas: Review and Recent Updates." Cancers 2025. [PMID: 41514564]
- Xiao W et al. "A practical approach on the classifications of myeloid neoplasms and acute leukemia: WHO and ICC." J Hematol Oncol 2024. [PMID: 39075565]
- Ning Y et al. "Cytogenetics and molecular genetics of myelodysplastic neoplasms." Best Pract Res Clin Haematol 2023. [PMID: 38092472]
- Sabiston Textbook of Surgery (Section: Immunotherapy) - PD-L1 CPS scoring
- WHO Classification of Haematolymphoid Tumours (5th edition), 2022
- TCGA Research Network. Integrated genomic characterization of endometrial carcinoma. Nature. 2013