724P - To study the gene expression profile of advanced gall bladder cancer

Date 29 September 2014
Event ESMO 2014
Session Poster Display session
Topics Hepatobiliary Cancers
Pathology/Molecular Biology
Translational Research
Presenter Arvind Kumar
Citation Annals of Oncology (2014) 25 (suppl_4): iv210-iv253. 10.1093/annonc/mdu334
Authors A. Kumar1, L. Rani1, N. Matur1, M. Maqbool2, R. Gupta3, V. Iyer4, D. Sundar5, S. Pal6, N.K. Shukla7, S. Thulkar8, A. Sharma9
  • 1Medical Oncology, B.R. Ambedkar Institute Rotary Cancer Hospital (AIMS), 110029 - New Delhi/IN
  • 2Dept. Of Medical Oncology, Dr B.r.a, Irch, Aiims, R.no: 412, 4th Floor, Medical Oncology Lab, All India Institute of Medical Sciences(AIIMS), New Delhi, 110029 - new delhi/IN
  • 3Lab Oncology, All India Institute of Medical Sciences, 110029 - New Delhi/IN
  • 4Pathology, Aiims, All India Institute of Medical Sciences(AIIMS), New Delhi, New Delhi/IN
  • 5Iit New Delhi, IIT, New Delhi/IN
  • 6Gi Surgery Aiims, All India Institute of Medical Sciences(AIIMS), New Delhi, New Delhi/IN
  • 7Surgical Oncology, AIIMS, 110029 - New Delhi/IN
  • 8Radiology, All India Institute of Medical Sciences, 110029 - New Delhi/IN
  • 9Dept. Of Medical Oncology, All India Institute of Medical Sciences (AIIMS)Institute Rotary Cancer Hospital, IN-110029 - New Delhi/IN

Abstract

Aim

To study the gene expression profile of advanced gall bladder cancer by gene based microarray.

Methods

Microarray was done on 12 advanced GBC and 4 cases of chronic cholecystitis by single colour cRNA based microarray technique (8X60Kformat; Agilent Technologies, USA).

Results

A total of 1307 genes out of 18240 differentially expressed genes satisfied P value of <0.05 as per unpaired t- test with a fold change cut off ± 2. Of 1307 genes, 535 genes were significantly upregulated and 772 genes were significantly downregulated in advanced GBC in comparison to chronic cholecystitis samples. Among these, genes involved in Biological process, Cellular component, Molecular function were 55.03%, 31.48% and 13.49% respectively. The pathway analysis tool demonstrated that a total of 27 pathways were significantly affected by the differentially regulated genes. The important pathways which were affected were cell cycle, DNA replication, Gastric cancer network, integrated cancer pathway, superoxide radicals degradation, oxidative stress, RB in cancer, protein signaling and selenium pathway. Important upregulated genes were CDK2, CCNB1, CDC20, CDC45, MDM2, Skp2, BCL2A1, CASP8, BIRC5, MCM4, POLE CDC45, RCF-4 and IGF2BP3 and important down regulated genes were TNF, SMOC-2, ANGPT1, FGF2, TNF, RB and TGFbeta3.

Conclusions

The above results if refined meticulously can provide answers to some hitherto unanswered questions in GBC.

Disclosure

All authors have declared no conflicts of interest.