» Articles » PMID: 29534030

Any Place for Immunohistochemistry Within the Predictive Biomarkers of Treatment in Lung Cancer Patients?

Overview
Journal Cancers (Basel)
Publisher MDPI
Specialty Oncology
Date 2018 Mar 14
PMID 29534030
Citations 9
Authors
Affiliations
Soon will be listed here.
Abstract

The identification of certain genomic alterations (, , , ) or immunological markers (PD-L1) in tissues or cells has led to targeted treatment for patients presenting with late stage or metastatic lung cancer. These biomarkers can be detected by immunohistochemistry (IHC) and/or by molecular biology (MB) techniques. These approaches are often complementary but depending on, the quantity and quality of the biological material, the urgency to get the results, the access to technological platforms, the financial resources and the expertise of the team, the choice of the approach can be questioned. The possibility of detecting simultaneously several molecular targets, and of analyzing the degree of tumor mutation burden and of the micro-satellite instability, as well as the recent requirement to quantify the expression of PD-L1 in tumor cells, has led to case by case development of algorithms and international recommendations, which depend on the quality and quantity of biological samples. This review will highlight the different predictive biomarkers detected by IHC for treatment of lung cancer as well as the present advantages and limitations of this approach. A number of perspectives will be considered.

Citing Articles

Current challenges and practical aspects of molecular pathology for non-small cell lung cancers.

Hofman P, Berezowska S, Kazdal D, Mograbi B, Ilie M, Stenzinger A Virchows Arch. 2023; 484(2):233-246.

PMID: 37801103 PMC: 10948551. DOI: 10.1007/s00428-023-03651-1.


A Real-World Experience from a Single Center (LPCE, Nice, France) Highlights the Urgent Need to Abandon Immunohistochemistry for ROS1 Rearrangement Screening of Advanced Non-Squamous Non-Small Cell Lung Cancer.

Hofman V, Goffinet S, Bontoux C, Long-Mira E, Lassalle S, Ilie M J Pers Med. 2023; 13(5).

PMID: 37240980 PMC: 10222775. DOI: 10.3390/jpm13050810.


Novel MRPS9-ALK Fusion Mutation in a Lung Adenocarcinoma Patient: A Case Report.

Zhou H, Xu B, Xu J, Zhu G, Guo Y Front Oncol. 2021; 11:670907.

PMID: 34168990 PMC: 8217641. DOI: 10.3389/fonc.2021.670907.


Identification of lncRNA biomarkers for lung cancer through integrative cross-platform data analyses.

Zhao T, Khadka V, Deng Y Aging (Albany NY). 2020; 12(14):14506-14527.

PMID: 32675385 PMC: 7425463. DOI: 10.18632/aging.103496.


The challenges of evaluating predictive biomarkers using small biopsy tissue samples and liquid biopsies from non-small cell lung cancer patients.

Hofman P J Thorac Dis. 2019; 11(Suppl 1):S57-S64.

PMID: 30775028 PMC: 6353749. DOI: 10.21037/jtd.2018.11.85.


References
1.
Ng Kee Kwong F, Laggner U, McKinney O, Croud J, Rice A, Nicholson A . Expression of PD-L1 correlates with pleomorphic morphology and histological patterns of non-small-cell lung carcinomas. Histopathology. 2018; 72(6):1024-1032. DOI: 10.1111/his.13466. View

2.
Ilie M, Hofman V, Dietel M, Soria J, Hofman P . Assessment of the PD-L1 status by immunohistochemistry: challenges and perspectives for therapeutic strategies in lung cancer patients. Virchows Arch. 2016; 468(5):511-25. DOI: 10.1007/s00428-016-1910-4. View

3.
Park S, Koh J, Kim D, Kim M, Keam B, Kim T . MET amplification, protein expression, and mutations in pulmonary adenocarcinoma. Lung Cancer. 2016; 90(3):381-7. DOI: 10.1016/j.lungcan.2015.10.022. View

4.
Lewis C, McQuaid S, Hamilton P, Salto-Tellez M, McArt D, James J . Building a 'Repository of Science': The importance of integrating biobanks within molecular pathology programmes. Eur J Cancer. 2016; 67:191-199. DOI: 10.1016/j.ejca.2016.08.009. View

5.
Rossi G, Jocolle G, Conti A, Tiseo M, Marino F, Donati G . Detection of ROS1 rearrangement in non-small cell lung cancer: current and future perspectives. Lung Cancer (Auckl). 2017; 8:45-55. PMC: 5508815. DOI: 10.2147/LCTT.S120172. View