Screening and identification of lung cancer metastasis-related genes by suppression subtractive hybridization

Jiewei Liu1, Xiaorong Zhong1, Juan Li1

  • 1The Key Laboratory of Lung Cancer Molecular Biology in Sichuan Province, West China Hospital, Sichuan University, Chengdu, Sichuan Province, ChinaTianjin Key Laboratory of Lung Cancer Metastasis and Tumor Microenvironment, Tianjin Lung Cancer Institute, Tianjin Medical University General Hospital, Tianjin, ChinaDepartment of Thoracic Surgery, First Affiliated Hospital, Dalian Medical University, Dalian, ChinaDepartment of Respiratory Medicine, the Second Hospital Affiliated to Dalian Medical University, Dalian, ChinaSoochow University Laboratory of Cancer Molecular Genetics, Medical College of Soochow University, Sino-Singapore Industrial Park, Suzhou, China.

Thoracic Cancer
|September 19, 2017
PubMed
Abstract

Insights

Researchers constructed subtracted cDNA libraries to identify genes involved in lung cancer metastasis. They found ANXA2, ACTG1, and AKR1B1 are upregulated in highly metastatic lung cancer cells, suggesting their role in metastasis.

Area of Science:

  • Molecular Biology
  • Oncology
  • Genetics

Background:

  • Lung cancer metastasis is a complex, multi-stage process involving numerous genes.
  • Understanding the molecular mechanisms of metastasis is crucial for developing effective treatments.
  • Novel molecular techniques are needed to systematically investigate lung cancer metastasis.

Purpose of the Study:

  • To construct subtracted cDNA libraries from lung cancer cell lines with varying metastatic potentials (NL9980 and L9981).
  • To identify differentially expressed genes associated with lung cancer metastasis.
  • To validate the expression levels of candidate genes at both RNA and protein levels.

Main Methods:

  • Suppression subtractive hybridization (SSH) was used to construct forward and reverse subtracted cDNA libraries.
  • Blue-white colony screening, dot blot, and DNA sequencing were employed to identify positive clones and differentially expressed gene segments.
  • Quantitative real-time reverse transcription polymerase chain reaction (RT-PCR) and western blotting were used for validation.

Main Results:

  • Successfully constructed subtracted cDNA libraries from lung large cell carcinoma cell lines NL9980 and L9981.
  • Identified 307 positive clones in the forward and 78 in the reverse subtracted libraries.
  • Sequencing revealed differential expression of several genes, including ANXA2, KRT18, and ACTG1, with ANXA2, ACTG1, and AKR1B1 confirmed as upregulated in the more metastatic L9981 cell line.

Conclusions:

  • SSH is an effective method for constructing subtracted cDNA libraries to study gene expression differences in cancer metastasis.
  • Identified several genes, including ANXA2, ACTG1, and AKR1B1, that are differentially expressed between lung cancer cell lines with different metastatic potentials.
  • These identified genes, particularly ANXA2, ACTG1, and AKR1B1, may play significant roles in the process of lung cancer metastasis.

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