Dataset Information

Automated quantitative multiplex immunofluorescence in situ imaging identifies phospho-S6 and phospho-PRAS40 as predictive protein biomarkers for prostate cancer lethality.

ABSTRACT:

Background

We have witnessed significant progress in gene-based approaches to cancer prognostication, promising early intervention for high-risk patients and avoidance of overtreatment for low-risk patients. However, there has been less advancement in protein-based approaches, even though perturbed protein levels and post-translational modifications are more directly linked with phenotype. Most current, gene expression-based platforms require tissue lysis resulting in loss of structural and molecular information, and hence are blind to tumor heterogeneity and morphological features.

Results

Here we report an automated, integrated multiplex immunofluorescence in situ imaging approach that quantitatively measures protein biomarker levels and activity states in defined intact tissue regions where the biomarkers of interest exert their phenotype. Using this approach, we confirm that four previously reported prognostic markers, PTEN, SMAD4, CCND1 and SPP1, can predict lethal outcome of human prostate cancer. Furthermore, we show that two PI3K pathway-regulated protein activities, pS6 (RPS6-phosphoserines 235/236) and pPRAS40 (AKT1S1-phosphothreonine 246), correlate with prostate cancer lethal outcome as well (individual marker hazard ratios of 2.04 and 2.03, respectively). Finally, we incorporate these 2 markers into a novel 5-marker protein signature, SMAD4, CCND1, SPP1, pS6, and pPRAS40, which is highly predictive for prostate cancer-specific death. The ability to substitute PTEN with phospho-markers demonstrates the potential of quantitative protein activity state measurements on intact tissue.

Conclusions

In summary, our approach can reproducibly and simultaneously quantify and assess multiple protein levels and functional activities on intact tissue specimens. We believe it is broadly applicable to not only cancer but other diseases, and propose that it should be well suited for prognostication at early stages of pathogenesis where key signaling protein levels and activities are perturbed.

SUBMITTER: Shipitsin M

PROVIDER: S-EPMC4114438 | biostudies-literature | 2014

REPOSITORIES: biostudies-literature

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Publications

Automated quantitative multiplex immunofluorescence in situ imaging identifies phospho-S6 and phospho-PRAS40 as predictive protein biomarkers for prostate cancer lethality.

Shipitsin Michail M Small Clayton C Giladi Eldar E Siddiqui Summar S Choudhury Sibgat S Hussain Sadiq S Huang Yi E YE Chang Hua H Rimm David L DL Berman David M DM Nifong Thomas P TP Blume-Jensen Peter P

Proteome science 20140712

<h4>Background</h4>We have witnessed significant progress in gene-based approaches to cancer prognostication, promising early intervention for high-risk patients and avoidance of overtreatment for low-risk patients. However, there has been less advancement in protein-based approaches, even though perturbed protein levels and post-translational modifications are more directly linked with phenotype. Most current, gene expression-based platforms require tissue lysis resulting in loss of structural ...[more]

PMID: 25075204

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Project description:BackgroundThis study aimed to explore the potentially predictive role and dynamic changes of immune checkpoints on T cell subsets in patients with breast cancer receiving neoadjuvant chemotherapies.MethodsFluorescent multiplex immunohistochemistry (mIHC) was used to stain CD4, CD8, PD1, TIM3, and cytokeratins simultaneously in paired breast cancer samples before and after neoadjuvant therapies (NAT) in a prospective cohort (n = 50). Singleplex IHC was conducted to stain for CD3 in 100 cases with inclusion of extra retrospective 50 cases. Cell levels were correlated with clinicopathological parameters and pathological complete response (pCR).ResultsIn pretreatment tumors, the percentages of infiltrating CD8+ , PD1+ , PD1+ CD8+ , and the ratio of PD1+ CD8+ /CD8+ cells, were higher in pCR than non-pCR patients in either the stromal or intratumoral area, but PD1+ CD4+ , TIM3+ CD4+ , TIM3+ CD8+ cells and CD4+ /CD8+ ratio was not. Multivariate analyses showed that the percentage of intratumoral CD8+ cells (OR, 1.712; 95% CI: 1.052-2.786; P = 0.030) and stromal PD1+ CD8+ /CD8+ ratio (OR, 1.109; 95% CI: 1.009-1.218; P = 0.032) were significantly associated with pCR. Dynamically, reduction in the percentages of PD1+ , CD8+ and PD1+ CD8+ cells after therapy strongly correlated with pCR. Notably, incremental percentages of PD1+ CD8+ cells, rather than TIM3+ CD8+ , were shown in tumors from non-pCR patients after NAT. CD3 staining confirmed the percentage of T cells were associated with pCR.ConclusionsPD1+ CD8+ rather than TIM3+ CD8+ cells are main predictive components within tumor-infiltrating T cells in NAT breast cancer patients. Dynamically incremental levels of PD1+ CD8+ cells occurred in non-pCR cases after NAT, suggesting the combination of chemotherapy with PD1 inhibition might benefit these patients.Key pointsSIGNIFICANT FINDINGS OF THE STUDY: PD1+ CD8+ , rather than TIM3+ CD8+ , T cells are the main component to predict the response of neoadjuvant therapies in breast cancer.What this study addsIncremental levels of PD1+ CD8+ T cells in non-pCR post-NAT tumors suggest PD1 inhibition might benefit in the neoadjuvant setting.

Dataset Information

Automated quantitative multiplex immunofluorescence in situ imaging identifies phospho-S6 and phospho-PRAS40 as predictive protein biomarkers for prostate cancer lethality.

Background

Results

Conclusions

Publications

Automated quantitative multiplex immunofluorescence in situ imaging identifies phospho-S6 and phospho-PRAS40 as predictive protein biomarkers for prostate cancer lethality.

Similar Datasets

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