Geographic pervasiveness of cancer: prospects of novel biomarker and therapeutic research in developing countries using OMICS approaches

Shabarni Gupta, Sandipan Ray, Arunanshu Talukdar, Kunal Sehgal, Aliasgar Moiyadi, Sanjeeva Srivastava*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

1 Citation (Scopus)


Lack of homogeneity in lineages of tumour cell population, in addition to constant evolution of abnormal cells, results in intratumour heterogeneity. Tumour prognosis, to a great extent, depends on the permutations and combinations in which one or more clonal lineage prevails. This directly affects therapeutic decisions as tumour sensitivity, or resistance to a particular treatment is reflected in the heterogeneity it presents. In this context, geographic predisposition presents a different dimension which may drive this heterogeneity in a particular direction and is probably the larger set of cause followed by subsets of causes like clonal evolution or cancer stem cells which result in the idiopathic nature of tumour heterogeneity. However, the geographic pervasiveness of cancers has not been studied in depth in context to tumour heterogeneity. The suffix “-omics” denotes a study in total of that particular stream of science. For example, the study of genome is referred to as genomics. Off late, multi-omics approaches encompassing a systemic understanding of cancer tissues have shed immense light in understanding the molecular basis of tumour heterogeneity with regard to the classical models traditionally proposed to explain the heterogeneity. Genomics, proteomics, metabolomics and transcriptomics have received an enormous boost with emergence and evolution of high-throughput technology like mass spectrometry and next-generation sequencing. This chapter discusses briefly about the type of tumour heterogeneity noticed especially in context of the developing world and how OMICS-based research can bring about a revolution in understanding any geographic bias that may exist and contribute to tumour heterogeneity.

Original languageEnglish
Title of host publicationBiomarker discovery in the developing world
Subtitle of host publicationdissecting the pipeline for meeting the challenges
EditorsSanjeeva Srivastava
Place of PublicationNew Delhi
PublisherSpringer, Springer Nature
Number of pages9
ISBN (Electronic)9788132228370
ISBN (Print)9788132228356
Publication statusPublished - 1 Jan 2016
Externally publishedYes


  • developing country
  • Endemic
  • geographic variation
  • multi-OMICS
  • personalised therapeutics
  • tumour heterogeneity


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