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'Patchwork' ovarian cancer more deadly

Date:
February 24, 2015
Source:
Cancer Research UK
Summary:
The most common type of ovarian cancer is more deadly if it consists of a patchwork of different groups of cells, according to a new study. Serous ovarian cancers containing a variety of genetically-different cells were more likely to become resistant to treatment and come back again than cancers made of more similar cells. Women with this type of tumor also died sooner than those with less varied tumors.
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The most common type of ovarian cancer is more deadly if it consists of a patchwork of different groups of cells, according to a Cancer Research UK study published in PLOS Medicine.

Serous ovarian cancers containing a variety of genetically-different cells were more likely to become resistant to treatment and come back again than cancers made of more similar cells. Women with this type of tumor also died sooner than those with less varied tumors.

The scientists, from the Cancer Research UK Cambridge Institute and Cambridge University, analysed DNA from 135 samples of serous ovarian cancers from 14 patients having chemotherapy.

The team is the first to measure the genetic variety -- called tumor heterogeneity -- in a solid tumor and link this to cancer survival.

tumor heterogeneity begins as tumors evolve from a single damaged cell, which quickly changes and develops into a patchwork of different cell groups.

Each patch of cells contains a similar but distinct set of DNA errors, so can look and behave differently from other cell clusters. This makes treating the disease more challenging, with some groups of tumor cells being more resistant to chemotherapy than others.

Lead researcher Dr James Brenton from the Cancer Research UK Cambridge Institute, said: "Our research is important because it helps make sense of the genetic chaos inside tumors. It's another step closer to cracking the code on cancer biology so that we can understand sooner how patients will respond to treatment -- and how to develop better drugs for this hard to treat cancer in the future."

The team also found that gene faults contributing to drug resistance were present in some parts of tumors before treatment began, replacing the previous belief that chemotherapy caused these genetic changes.

More than 2,000 women in England are diagnosed with serous ovarian cancer each year. The main treatments for ovarian cancer are surgery and chemotherapy, but some cancers become resistant to chemotherapy which presents a big challenge when treating the disease.

Nell Barrie, Cancer Research UK's senior science information manager said: "Finding out more about how tumors evolve and what this means for patients could help us find a way to cut off cancer's first steps.

"Ovarian cancer is often not diagnosed until it has spread in the body, making it harder to treat successfully. And Cancer Research UK is funding research to find ways to screen for the disease and spot it earlier when it is more easily treated successfully, to help save more lives."


Story Source:

Materials provided by Cancer Research UK. Note: Content may be edited for style and length.


Journal Reference:

  1. Roland F. Schwarz, Charlotte K. Y. Ng, Susanna L. Cooke, Scott Newman, Jillian Temple, Anna M. Piskorz, Davina Gale, Karen Sayal, Muhammed Murtaza, Peter J. Baldwin, Nitzan Rosenfeld, Helena M. Earl, Evis Sala, Mercedes Jimenez-Linan, Christine A. Parkinson, Florian Markowetz, James D. Brenton. Spatial and Temporal Heterogeneity in High-Grade Serous Ovarian Cancer: A Phylogenetic Analysis. PLOS Medicine, 2015; 12 (2): e1001789 DOI: 10.1371/journal.pmed.1001789

Cite This Page:

Cancer Research UK. "'Patchwork' ovarian cancer more deadly." ScienceDaily. ScienceDaily, 24 February 2015. <www.sciencedaily.com/releases/2015/02/150224142935.htm>.
Cancer Research UK. (2015, February 24). 'Patchwork' ovarian cancer more deadly. ScienceDaily. Retrieved November 26, 2024 from www.sciencedaily.com/releases/2015/02/150224142935.htm
Cancer Research UK. "'Patchwork' ovarian cancer more deadly." ScienceDaily. www.sciencedaily.com/releases/2015/02/150224142935.htm (accessed November 26, 2024).

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