Study identifies a new cancer cell state related to poor treatment response in ovarian cancer patients

The prognosis for ovarian cancer patients is grim: less than half of high-grade serous ovarian cancer (HGSC) patients survive past five years from diagnosis. Initially, the tumors typically respond well to chemotherapy but become resistant after repeated treatments, enabling the cancer to regrow.

In a study carried out by the University of Helsinki, the University of Turku and the Turku University Hospital, researchers investigated how these tumors develop resistance to chemotherapy. They studied how the tumors changed during chemotherapy and identified a new cancer cell state associated with a poor treatment response.

Our research design is exceptional, even globally, and requires close collaboration between the clinicians who treat the patients, computational researchers and biologists. It's also of vital importance that great majority of patients foresee cancer research as something valuable and choose to donate their samples for research purposes."

Anna Vähärautio, Researcher, Corresponding Author, University of Helsinki

"Our clinical partners, spear-headed by gynecological oncologist, MD PhD Johanna Hynninen, collected these unique paired tumor specimens at the Turku University Hospital. To fully benefit from these samples, a new analysis approach developed by researchers in Professor Sampsa Hautaniemi's group, especially the PhD student Kaiyang Zhang (first author of the study), allowed us to investigate what unites the tumors, instead of analyzing specific features of each tumor. This way, we were able to identify similar, chemotherapy-induced changes in gene expression at the level of individual cells across this heterogeneous set of tumors," Vähärautio explains.

The study was published in the esteemed Science Advances journal.

Chemotherapy increased a stress state in cancer cells

The findings demonstrated that chemotherapy boosted a stress-related state in cancer cells. The tumor subclones with the highest stress state before chemotherapy were enriched during the therapy. This was because these high-stress subclones reinitiated growth more robustly after chemotherapy than other clones and consequently repopulated the tumors more effectively.

"Our observation is also supported by a more extensive international validation cohort of 271 ovarian cancer patients, where a higher stress state in the tumor prior to chemotherapy predicted a significantly poorer treatment response," Vähärautio says.

In the study, the cancer cell stress state was associated to the microenvironment composition in the tumor. High-stress tumors had a particularly high concentration of inflammatory stroma. In these tumors, both cancer cells and the stroma produced a large amount of signaling molecules, which have the ability to further strengthen the inflammatory stress state on both cell types. This vicious cycle of inflammatory signaling may reduce the tumor's response to chemotherapy.

"Our findings help to identify already prior to treatment the tumors that are the most likely to have a poor response to therapy. Our results also suggest that therapies could be targeted at the inflammatory microenvironment of cancer cells and the surrounding tissue to improve treatment outcomes with the help of combination therapy," says Vähärautio.

In the future, combination therapies can boost the efficacy of chemotherapy especially in patients whose tumors respond poorly to current therapies.

Source:
Journal reference:

Zhang, K., et al. (2022) Longitudinal single-cell RNA-seq analysis reveals stress-promoted chemoresistance in metastatic ovarian cancer. Science Advances. doi.org/10.1126/sciadv.abm1831.

Comments

The opinions expressed here are the views of the writer and do not necessarily reflect the views and opinions of AZoLifeSciences.
Post a new comment
Post

While we only use edited and approved content for Azthena answers, it may on occasions provide incorrect responses. Please confirm any data provided with the related suppliers or authors. We do not provide medical advice, if you search for medical information you must always consult a medical professional before acting on any information provided.

Your questions, but not your email details will be shared with OpenAI and retained for 30 days in accordance with their privacy principles.

Please do not ask questions that use sensitive or confidential information.

Read the full Terms & Conditions.

You might also like...
Designing Compounds for Next-Gen Antibiotics and Cancer Treatments