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Cancer biomarkers are frequently used in clinical practice for diagnosis and prognosis, as well as identification of responsive patients and prediction of treatment response of cancer patient.
Yet, the minor subpopulation of responsive patients had striking objective radiographic responses and shared a number of clinical/epidemiologic characteristics (adenocarcinoma histology, East Asian ethnicity, a history of never smoking cigarettes and female gender), suggesting a common molecular background (Sequist and Lynch, 2008).
Purpose: Although ovarian cancer is considered highly responsive to combination therapy with paclitaxel (PTX) and carboplatin (CBDCA), cancer recurs rapidly in more than 50% of responsive patients, and in many cases, the recurring cancer cells develop chemoresistance.
Furthermore, the correlative studies accompanying this clinical trial suggest that enrichment of responsive patients may be feasible.
When the herceptest scoring system was applied, the tumours resulted IHC 3+ in 91% of responsive patients whose tissue samples were available, and IHC 2+ in 9%.
The mean time interval needed to reach remission in our cohort of responsive patients was similar to that suggested by the panel of experts.
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This observation suggests that the use of transcriptional changes of HSP90 client proteins may facilitate the selection of potentially responsive patients to 17AAG therapy.
However, a significant proportion of the responsive patients suffer relapses and die of treatment-refractory disease.
Considering that treatment of poorly responsive patients still suffers for the paucity of agents able to revert chemoresistance, maltonis may be considered for the future development of new therapeutic approaches for refractory metastatic patients.
Strategies to identify relevant biomarkers in parallel with development of targeted therapeutics is essential for the successful selection of appropriate clinical trial subjects and eventual treatment of potentially responsive patients.
Among the six (of 26) responsive patients, 3/20 (15%) bore classical and 3/6 (50%) had uncommon deletions.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com