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Solve question 2, and 3

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"small round cell tumour" differential diagnosis immunohistochemistry

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breast cancer HER2 updated guidelines 2023 2024 ASCO CAP

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"small round cell" tumour pathology diagnosis markers

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QUESTION 2 (20 Marks)

Diagnosis of Small Round Cell Tumours (SRCTs)

Introduction

Small round cell tumours (SRCTs) are a group of malignant neoplasms composed of primitive, undifferentiated cells with scant cytoplasm, hyperchromatic nuclei, and high nuclear-to-cytoplasmic ratios. They predominantly occur in children and young adults and pose one of the most challenging diagnostic problems in pathology due to their morphologic similarity.

The Main Entities in the Differential Diagnosis

The classic "big five" SRCTs to consider are:
TumourPeak AgeCommon Site
Ewing sarcoma / PNETChildren, young adultsBone (long bones, pelvis)
Rhabdomyosarcoma (RMS)< 15 yearsSoft tissue, head/neck, GU
Neuroblastoma< 5 yearsAdrenal, paraspinal
Lymphoma / LeukemiaAny ageNodal, extranodal
Desmoplastic SRCT (DSRCT)Young malesAbdominal/peritoneal
Wilms tumour (blastemal)< 5 yearsKidney
MedulloblastomaChildrenCerebellum

Diagnostic Approach

1. Morphology (H&E)

  • Ewing sarcoma / PNET: Sheets of uniform small round blue cells with clear cytoplasm (glycogen); Homer-Wright rosettes in PNET
  • Rhabdomyosarcoma: Cells with eosinophilic cytoplasm, "tadpole" or "strap" rhabdomyoblasts; alveolar pattern in ARMS
  • Neuroblastoma: Homer-Wright pseudorosettes; neuropil background; variable schwannian stroma
  • Lymphoblastic lymphoma: Convoluted/non-convoluted nuclei, "starry sky" pattern
  • DSRCT: Nests of round cells surrounded by abundant desmoplastic stroma

2. Immunohistochemistry (IHC) - The Cornerstone

IHC is the primary diagnostic tool in daily practice:
MarkerEwing/PNETRMSNeuroblastomaLymphomaDSRCT
CD99 (MIC2)Strong diffuse +--+/-+
Vimentin+++-+
NSE+-Strong +-+
Synaptophysin+/--+-+/-
Chromogranin--+--
Desmin-+--+ (dot-like)
MyoD1 / Myogenin-+---
LCA (CD45)---+-
WT1----+ (C-terminus)
TdT---+ (TdT in lymphoblastic)-
Key IHC pearls:
  • CD99 strong membranous positivity is the hallmark of Ewing sarcoma but is not specific
  • Co-expression of desmin + WT1 (C-terminal) + keratin (dot-like) in a desmoplastic background is virtually diagnostic of DSRCT
  • Myogenin is more specific for RMS than MyoD1

3. Cytogenetics and Molecular Studies

Specific translocations have become essential for definitive diagnosis:
TumourTranslocationFusion GeneDetection Method
Ewing sarcomat(11;22)(q24;q12) - most commonEWSR1-FLI1FISH, RT-PCR, NGS
Ewing sarcomat(21;22)(q22;q12)EWSR1-ERGFISH
Ewing sarcomat(7;22), t(17;22), t(2;22)EWSR1-ETV1/4/FEVFISH
Alveolar RMSt(2;13)(q35;q14)PAX3-FOXO1FISH, RT-PCR
Alveolar RMSt(1;13)(p36;q14)PAX7-FOXO1FISH
DSRCTt(11;22)(p13;q12)EWSR1-WT1FISH, RT-PCR
NeuroblastomaMYCN amplification, del(1p)-FISH, array-CGH
(Source: Quick Compendium of Clinical Pathology 5th ed., Section 7.4.6; Robbins Basic Pathology)

4. Electron Microscopy (EM)

Though superseded by IHC/molecular studies, EM remains useful in difficult cases:
  • RMS: Thick and thin filaments, Z-band material, primitive sarcomeres
  • Neuroblastoma: Dense-core neurosecretory granules, neuritic processes
  • Ewing sarcoma: Abundant glycogen particles, absence of specific organelles

5. Ancillary Techniques

  • FISH: Now preferred for detecting chromosomal translocations
  • RT-PCR: Detects gene fusion transcripts (very sensitive)
  • Next-generation sequencing (NGS) / RNA sequencing: Particularly useful for cases with atypical fusions or when FISH/PCR are equivocal. RNA-seq can detect novel fusion partners
  • Cytology and cell blocks: FNA with cell blocks allow IHC on limited material; useful in effusion cytology (see Han et al., Acta Cytol 2022, PMID: 34218227)

6. A Practical Diagnostic Algorithm

  1. Perform H&E morphology assessment
  2. First-line IHC panel: CD99, LCA, desmin, CD56/NSE, synaptophysin, chromogranin
  3. If CD99+: add vimentin, NKX2.2 (Ewing-specific transcription factor) - strong NKX2.2 supports Ewing
  4. If myogenic markers considered: MyoD1, myogenin, SMA
  5. Confirm with FISH for EWSR1 rearrangement, PAX-FOXO1
  6. If inconclusive: NGS/RNA-seq panel


QUESTION 3 (20 Marks)

Prognostic and Predictive Molecular Markers in Breast Carcinoma, with Emphasis on Recent HER2 Guidelines

Introduction

Molecular markers in breast cancer serve two distinct purposes:
  • Prognostic markers: predict natural history and outcome regardless of treatment
  • Predictive markers: predict response (or lack of response) to a specific therapy

1. Estrogen Receptor (ER) and Progesterone Receptor (PR)

ER was the first recognized molecular marker in breast cancer management.
  • ER: Assessed by IHC; positive if ≥1% of tumour cells stain (ASCO/CAP threshold)
  • ER positivity is both prognostic (associated with lower grade, better survival) and predictive (predicts response to endocrine therapy: tamoxifen, aromatase inhibitors, fulvestrant)
  • PR: Adds prognostic value; low/absent PR in an ER+ tumour suggests Luminal B biology and worse prognosis
  • ER/PR status determines eligibility for CDK4/6 inhibitors (palbociclib, ribociclib, abemaciclib) in metastatic HR+ disease
(Source: Robbins Pathologic Basis of Disease, Section 23; Current Surgical Therapy 14e)

2. HER2 (Human Epidermal Growth Factor Receptor 2 / ErbB2 / c-erbB-2)

HER2 is a transmembrane tyrosine kinase receptor encoded by the ERBB2 gene on chromosome 17q12. Amplification/overexpression occurs in ~20% of breast cancers.
Role: Both a prognostic marker (HER2+ historically confers poorer prognosis without targeted therapy) and a critical predictive marker (guides trastuzumab, pertuzumab, lapatinib, T-DM1, T-DXd use).

HER2 Testing Methods

MethodWhat it MeasuresThreshold for Positivity
IHCProtein overexpression3+ (strong, complete membrane staining in >10% cells)
FISH / ISHGene amplificationHER2:CEP17 ratio ≥2.0 OR average HER2 copy ≥6
IHC scoring (ASCO/CAP 2018, reaffirmed 2023):
  • 0: No staining or faint/incomplete staining in ≤10% cells
  • 1+: Faint/incomplete membranous staining in >10% cells
  • 2+: Weak to moderate, complete membranous staining in >10% cells (equivocal - reflex ISH)
  • 3+: Strong complete circumferential membranous staining in >10% cells (positive)

3. Recent HER2 Guidelines: The 2023 ASCO/CAP Update and the HER2-Low Revolution

This is the major recent update that every pathologist must know.

The DESTINY-Breast04 Trial (Modi et al., NEJM 2022)

The pivotal trial showed that trastuzumab deruxtecan (T-DXd), an antibody-drug conjugate delivering a topoisomerase I inhibitor (deruxtecan) to HER2-expressing cells, produced remarkable improvements in progression-free survival (PFS) and overall survival (OS) in "HER2-low" metastatic breast cancer patients (those with IHC 1+ or IHC 2+/FISH-negative), leading to FDA approval.
This challenged the long-standing binary classification (HER2 positive vs. negative) because:
  • ~50% of all breast cancers that were classified as "HER2-negative" actually fall in the HER2-low category
  • These patients, previously ineligible for HER2-targeted therapy, now have a proven targeted option

The New HER2 Classification (2023 ASCO/CAP + ESMO Consensus)

CategoryIHC ScoreISHClinical Implication
HER2-Positive3+ OR 2+/ISH+AmplifiedTrastuzumab, pertuzumab, T-DM1, tucatinib eligible
HER2-Low1+ OR 2+/ISH-Not amplifiedT-DXd (trastuzumab deruxtecan) eligible
HER2-Zero0Not amplifiedNo current HER2-targeted therapy; DESTINY-Breast06 ongoing
Key pathology implications (Ivanova et al., Virchows Arch 2024, PMID: 37770765):
  1. Accurate discrimination between IHC 0 and IHC 1+ is now clinically critical (previously clinically irrelevant)
  2. Standardized pre-analytical and analytical procedures are mandatory
  3. AI-assisted image analysis is emerging to support accurate low-spectrum HER2 scoring
  4. Intratumoral heterogeneity is a challenge - HER2-low status may change between primary and metastatic sites

4. Ki-67 (Proliferation Index)

  • Type: Prognostic (and partly predictive for chemotherapy benefit)
  • Assessed by IHC using MIB-1 antibody; expressed as % of positive cells
  • High Ki-67 (>20-30%) = Luminal B subtype, worse prognosis, benefits more from chemotherapy
  • Also predicts response to neoadjuvant chemotherapy

5. Molecular Subtypes and Gene Expression Profiling

Based on gene expression, breast cancers are classified into six intrinsic subtypes:
SubtypeERPRHER2Ki-67Prognosis
Luminal A++-LowBest
Luminal B (HER2-)+Low/--HighIntermediate
Luminal B (HER2+)+Low/-+AnyIntermediate
HER2-enriched--+HighPoor (before targeted therapy)
Triple-negative (Basal-like)---HighWorst; no targeted therapy until recently
Claudin-low / Normal-like---LowVariable
(Source: Robbins Pathologic Basis of Disease, Fischer's Mastery of Surgery 8e)
Commercially available gene expression assays (multi-gene panels, predictive for chemotherapy benefit):
  • Oncotype DX (21-gene recurrence score): Predicts recurrence risk and chemotherapy benefit in ER+/HER2- early breast cancer
  • MammaPrint (70-gene signature): Predicts distant recurrence in early-stage breast cancer (MINDACT trial validated)
  • Prosigna (PAM50): Assigns molecular subtype and provides ROR (Risk of Recurrence) score
  • EndoPredict: Predicts late recurrence under endocrine therapy

6. Other Emerging Predictive Markers

MarkerRelevance
BRCA1/2 germline mutationsEligibility for PARP inhibitors (olaparib, talazoparib) in HER2-negative metastatic BC
PIK3CA mutationsEligibility for alpelisib (PI3K inhibitor) in HR+/HER2- metastatic BC
PD-L1 (SP142/22C3)Predictive for pembrolizumab benefit in metastatic TNBC (KEYNOTE-522)
TROP-2Target for sacituzumab govitecan (ADC) in metastatic TNBC and HR+ disease
ESR1 mutationsPredict resistance to aromatase inhibitors; guide use of elacestrant
Tumour mutational burden (TMB)Emerging marker for immunotherapy benefit

Summary Table: Prognostic vs. Predictive in Breast Cancer

MarkerPrognosticPredictive (target/therapy)
ER/PRYesEndocrine therapy
HER2 (3+/amplified)YesTrastuzumab, pertuzumab, T-DM1, tucatinib
HER2-low (1+/2+ISH-)No distinctT-DXd (trastuzumab deruxtecan)
Ki-67YesChemotherapy benefit
Oncotype DX scoreYesChemotherapy in Luminal A/B
BRCA1/2YesPARP inhibitors
PIK3CANoAlpelisib
PD-L1NoPembrolizumab (TNBC)

Key References

  • Robbins, Cotran & Kumar Pathologic Basis of Disease - Chapter 23 (Breast)
  • Fischer's Mastery of Surgery 8e - Breast Cancer Subtypes
  • Current Surgical Therapy 14e - HER2-Low Breast Cancer
  • Henry's Clinical Diagnosis and Management - Breast Cancer Molecular Markers
  • Ivanova M et al. "Standardized pathology report for HER2 testing in compliance with 2023 ASCO/CAP updates and 2023 ESMO consensus statements on HER2-low breast cancer." Virchows Arch 2024 Jan. [PMID: 37770765]
  • DESTINY-Breast04: Modi S et al. NEJM 2022;387:9-20

Now solve sub questions of number 4

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endometrial carcinoma molecular classification TCGA POLE MSI

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myelodysplastic syndrome WHO 2022 ICC classification update

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PD-L1 scoring CPS TPS immunotherapy cancer

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quality control hematology laboratory automated analyzer

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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

SubtypeFrequencyKey Molecular FeatureHistologyPrognosis
POLE ultra-mutated~7-12%Exonuclease domain mutations in POLE geneUsually endometrioid, grade 3Excellent (best)
MSI-H / MMR-deficient~28-30%Microsatellite instability-high; MLH1 promoter methylation (sporadic) or Lynch syndrome (germline MMR)Usually endometrioid, grade 1-2Intermediate-good
Copy Number Low (CNL) / NSMP~39%No specific molecular profile; ER/PR+Usually endometrioid, low-gradeIntermediate
Copy Number High (CNH) / p53 abnormal~26%TP53 mutations, marked genomic instability, serous-likeSerous or grade 3 endometrioidWorst
(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

FeatureWHO 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%)
EmphasisMorphology + genetics combinedGenetics-first approach
(Xiao et al., J Hematol Oncol 2024, PMID: 39075565)

WHO 5th Edition (2022) - MDS Entities

Major Categories:

EntityKey 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/AML20% 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 CategoryMedian 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:
DrugApproval
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:
DrugApproval
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

AssayClonePlatformApproved Indication
PD-L1 IHC 22C322C3Dako AutostainerPembrolizumab (NSCLC, HNSCC, cervical, gastric, TNBC)
PD-L1 IHC 28-828-8Dako AutostainerNivolumab (NSCLC, melanoma)
VENTANA SP263SP263Ventana BenchMarkDurvalumab (NSCLC), pembrolizumab
VENTANA SP142SP142Ventana BenchMarkAtezolizumab (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:
RuleSymbolAction
1 control value exceeds mean ±2SD1₂ₛWarning (not rejection)
1 control value exceeds mean ±3SD1₃ₛReject - random error
2 consecutive values exceed mean ±2SD on same side2₂ₛReject - systematic error
R between two controls >4SDR₄ₛReject - random error
4 consecutive values exceed mean ±1SD on same side4₁ₛReject - systematic error (trend)
10 consecutive values on same side of mean10ₓ̄Reject - 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

RequirementStandard/Body
QC records retained for ≥2 yearsCLIA, ISO 15189
Daily QC before patient results releasedCLIA, CAP
EQA participation mandatoryISO 15189, NABL, CAP
QC review and corrective action documentationISO 15189 §6.8
Uncertainty of measurement calculatedISO 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 LevelQualityQC Strategy
≥6World classMinimal QC (1 control/day)
4-6GoodStandard Westgard rules
3-4MarginalIntensive QC, investigate
<3UnacceptableDo 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
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