Heterogeneity Influences Cancer Immunohistochemistry Results
By LabMedica International staff writers Posted on 06 Jun 2017 |

Image: Immunohistochemistry (IHC) staining of human epidermal growth factor receptor 2 (HER2) in biopsy specimens showing intratumoral homogeneity and heterogeneity (Photo courtesy of Fudan University).
Many gastric cancer (GC) patients are with inoperable lesions and endoscopic biopsy becomes the only available approach to obtain tumor tissues for human epidermal growth factor receptor 2 (HER2) assessment. Unlike resected specimens, biopsy specimens are influenced by many factors and in turn more difficult to manipulate.
Several approaches are available for HER2 status assessment, including immunohistochemistry (IHC), fluorescence in situ hybridization (FISH), and silver in situ hybridization (SISH). Among them, IHC represents an effective and robust test that can be used for most specimens. HER2 assessment in biopsy specimens of gastric cancer (GC) is challenging because of the intratumoral heterogeneity. False negative results may occur because of limited biopsy material.
Pathologists at Fudan University (Shanghai, China) collected 890 biopsy specimens and 459 paired resected specimens from patients who were diagnosed gastric adenocarcinoma by endoscopic biopsy specimens during March 2013 to January 2014. IHC staining of HER2 was performed. HER2 IHC positive (scored 3+) rate was compared based on tumor-containing fragment number, biopsy specimen number, average size and tumor tissue proportion of tumor-containing fragments. The positive predictability of biopsy specimens to resected specimens was analyzed based on tumor fragment number.
The scientists used a HER-2/neu rabbit monoclonal antibody, and the IHC staining was performed in all the cases with Ventana’s iView DAB Detection Kit on their BenchMark XT automated stainer. For each test, small pieces of GC tissue in which HER2 was scored as 3+ and 0 were used in the same slide as positive and negative controls, respectively. Hematoxylin and eosin (HE) sections of all the cases were reviewed by two experienced gastrointestinal pathologists to confirm the diagnosis.
The team found classified 100 patients (11.2%) as HER2 IHC positive (scored 3+), 261 patients (29.3%) were HER2 equivocal (scored 2+). The rest 529 cases were classified as HER2 IHC negative (59.5%), including 289 cases scored 1+ (32.5%) and 240 cases scored 0 (27.0%). In the HER2 IHC positive (scored 3+) patients, 74 cases were intestinal type GCs (74.0%), 10 were diffuse type GCs (10.0%), and the rest 16 belonged to mixed type (16.0%). HER2 IHC positive rates were 2.0%, 3.5%, 7.0%, 13.2%, 17.1%, and 15.9% when tumor fragment numbers were 1, 2, 3, 4, 5 and 6 respectively. HER2 IHC positive rate was not associated with biopsy number, average size of tumor fragments, and tumor tissue proportion of tumor fragments) directly.
The authors concluded that tumor-containing fragment number affects HER2 IHC positive (scored 3+) rate in endoscopic biopsy specimens. Greater than or equal to four tumor fragments give better HER2 IHC positivity and better performance in predicting HER2 status of resected specimens. The study was published on May 26, 2017, in the journal Diagnostic Pathology.
Related Links
Fudan University
Several approaches are available for HER2 status assessment, including immunohistochemistry (IHC), fluorescence in situ hybridization (FISH), and silver in situ hybridization (SISH). Among them, IHC represents an effective and robust test that can be used for most specimens. HER2 assessment in biopsy specimens of gastric cancer (GC) is challenging because of the intratumoral heterogeneity. False negative results may occur because of limited biopsy material.
Pathologists at Fudan University (Shanghai, China) collected 890 biopsy specimens and 459 paired resected specimens from patients who were diagnosed gastric adenocarcinoma by endoscopic biopsy specimens during March 2013 to January 2014. IHC staining of HER2 was performed. HER2 IHC positive (scored 3+) rate was compared based on tumor-containing fragment number, biopsy specimen number, average size and tumor tissue proportion of tumor-containing fragments. The positive predictability of biopsy specimens to resected specimens was analyzed based on tumor fragment number.
The scientists used a HER-2/neu rabbit monoclonal antibody, and the IHC staining was performed in all the cases with Ventana’s iView DAB Detection Kit on their BenchMark XT automated stainer. For each test, small pieces of GC tissue in which HER2 was scored as 3+ and 0 were used in the same slide as positive and negative controls, respectively. Hematoxylin and eosin (HE) sections of all the cases were reviewed by two experienced gastrointestinal pathologists to confirm the diagnosis.
The team found classified 100 patients (11.2%) as HER2 IHC positive (scored 3+), 261 patients (29.3%) were HER2 equivocal (scored 2+). The rest 529 cases were classified as HER2 IHC negative (59.5%), including 289 cases scored 1+ (32.5%) and 240 cases scored 0 (27.0%). In the HER2 IHC positive (scored 3+) patients, 74 cases were intestinal type GCs (74.0%), 10 were diffuse type GCs (10.0%), and the rest 16 belonged to mixed type (16.0%). HER2 IHC positive rates were 2.0%, 3.5%, 7.0%, 13.2%, 17.1%, and 15.9% when tumor fragment numbers were 1, 2, 3, 4, 5 and 6 respectively. HER2 IHC positive rate was not associated with biopsy number, average size of tumor fragments, and tumor tissue proportion of tumor fragments) directly.
The authors concluded that tumor-containing fragment number affects HER2 IHC positive (scored 3+) rate in endoscopic biopsy specimens. Greater than or equal to four tumor fragments give better HER2 IHC positivity and better performance in predicting HER2 status of resected specimens. The study was published on May 26, 2017, in the journal Diagnostic Pathology.
Related Links
Fudan University
Latest Pathology News
- Novel UV and Machine Learning-Aided Method Detects Microbial Contamination in Cell Cultures
- New Error-Corrected Method to Help Detect Cancer from Blood Samples Alone
- "Metal Detector" Algorithm Hunts Down Vulnerable Tumors
- Novel Technique Uses ‘Sugar’ Signatures to Identify and Classify Pancreatic Cancer Cell Subtypes
- Advanced Imaging Reveals Mechanisms Causing Autoimmune Disease
- AI Model Effectively Predicts Patient Outcomes in Common Lung Cancer Type
- AI Model Predicts Patient Response to Bladder Cancer Treatment
- New Laser-Based Method to Accelerate Cancer Diagnosis
- New AI Model Predicts Gene Variants’ Effects on Specific Diseases
- Powerful AI Tool Diagnoses Coeliac Disease from Biopsy Images with Over 97% Accuracy
- Pre-Analytical Conditions Influence Cell-Free MicroRNA Stability in Blood Plasma Samples
- 3D Cell Culture System Could Revolutionize Cancer Diagnostics
- Painless Technique Measures Glucose Concentrations in Solution and Tissue Via Sound Waves
- Skin-Based Test to Improve Diagnosis of Rare, Debilitating Neurodegenerative Disease
- Serum Uromodulin Could Indicate Acute Kidney Injury in COVID-19 Patients
- AI Model Reveals True Biological Age From Five Drops of Blood
Channels
Clinical Chemistry
view channel
Low-Cost Portable Screening Test to Transform Kidney Disease Detection
Millions of individuals suffer from kidney disease, which often remains undiagnosed until it has reached a critical stage. This silent epidemic not only diminishes the quality of life for those affected... Read more
New Method Uses Pulsed Infrared Light to Find Cancer's 'Fingerprints' In Blood Plasma
Cancer diagnoses have traditionally relied on invasive or time-consuming procedures like tissue biopsies. Now, new research published in ACS Central Science introduces a method that utilizes pulsed infrared... Read moreMolecular Diagnostics
view channel
Novel Autoantibody Against DAGLA Discovered in Cerebellitis
Autoimmune cerebellar ataxias are strongly disabling disorders characterized by an impaired ability to coordinate muscle movement. Cerebellar autoantibodies serve as useful biomarkers to support rapid... Read more
Gene-Based Blood Test Accurately Predicts Tumor Recurrence of Advanced Skin Cancer
Melanoma, an aggressive form of skin cancer, becomes extremely difficult to treat once it spreads to other parts of the body. For patients with metastatic melanoma tumors that cannot be surgically removed... Read moreHematology
view channel
New Scoring System Predicts Risk of Developing Cancer from Common Blood Disorder
Clonal cytopenia of undetermined significance (CCUS) is a blood disorder commonly found in older adults, characterized by mutations in blood cells and a low blood count, but without any obvious cause or... Read more
Non-Invasive Prenatal Test for Fetal RhD Status Demonstrates 100% Accuracy
In the United States, approximately 15% of pregnant individuals are RhD-negative. However, in about 40% of these cases, the fetus is also RhD-negative, making the administration of RhoGAM unnecessary.... Read moreImmunology
view channel
Stem Cell Test Predicts Treatment Outcome for Patients with Platinum-Resistant Ovarian Cancer
Epithelial ovarian cancer frequently responds to chemotherapy initially, but eventually, the tumor develops resistance to the therapy, leading to regrowth. This resistance is partially due to the activation... Read more
Machine Learning-Enabled Blood Test Predicts Immunotherapy Response in Lymphoma Patients
Chimeric antigen receptor (CAR) T-cell therapy has emerged as one of the most promising recent developments in the treatment of blood cancers. However, over half of non-Hodgkin lymphoma (NHL) patients... Read moreMicrobiology
view channel
Handheld Device Delivers Low-Cost TB Results in Less Than One Hour
Tuberculosis (TB) remains the deadliest infectious disease globally, affecting an estimated 10 million people annually. In 2021, about 4.2 million TB cases went undiagnosed or unreported, mainly due to... Read more
New AI-Based Method Improves Diagnosis of Drug-Resistant Infections
Drug-resistant infections, particularly those caused by deadly bacteria like tuberculosis and staphylococcus, are rapidly emerging as a global health emergency. These infections are more difficult to treat,... Read more
Breakthrough Diagnostic Technology Identifies Bacterial Infections with Almost 100% Accuracy within Three Hours
Rapid and precise identification of pathogenic microbes in patient samples is essential for the effective treatment of acute infectious diseases, such as sepsis. The fluorescence in situ hybridization... Read moreTechnology
view channel
Pain-On-A-Chip Microfluidic Device Determines Types of Chronic Pain from Blood Samples
Chronic pain is a widespread condition that remains difficult to manage, and existing clinical methods for its treatment rely largely on self-reporting, which can be subjective and especially problematic... Read more
Innovative, Label-Free Ratiometric Fluorosensor Enables More Sensitive Viral RNA Detection
Viruses present a major global health risk, as demonstrated by recent pandemics, making early detection and identification essential for preventing new outbreaks. While traditional detection methods are... Read moreIndustry
view channel
Cepheid and Oxford Nanopore Technologies Partner on Advancing Automated Sequencing-Based Solutions
Cepheid (Sunnyvale, CA, USA), a leading molecular diagnostics company, and Oxford Nanopore Technologies (Oxford, UK), the company behind a new generation of sequencing-based molecular analysis technologies,... Read more
Grifols and Tecan’s IBL Collaborate on Advanced Biomarker Panels
Grifols (Barcelona, Spain), one of the world’s leading producers of plasma-derived medicines and innovative diagnostic solutions, is expanding its offer in clinical diagnostics through a strategic partnership... Read more