Background Cisplatin-based neoadjuvant chemotherapy (NAC) before cystectomy is the standard of care for muscle-invasive bladder cancer (MIBC), with 25–50% of patients expected to achieve a pathologic response. Validated biomarkers predictive of response are currently lacking. Objective To discover and validate biomarkers predictive of response to NAC for MIBC. Design, setting, and participants Pretreatment MIBC samples prospectively collected from patients treated in two separate clinical trials of cisplatin-based NAC provided the discovery and validation sets. DNA from pretreatment tumor tissue was sequenced for all coding exons of 287 cancer-related genes and was analyzed for base substitutions, indels, copy number alterations, and selected rearrangements in a Clinical Laboratory Improvements Amendments–certified laboratory. Outcome measurements and statistical analysis The mean number of variants and variant status for each gene were correlated with response. Variant data from the discovery cohort were used to create a classification tree to discriminate responders from nonresponders. The resulting decision rule was then tested in the independent validation set. Results and limitations Patients with a pathologic complete response had more alterations than those with residual tumor in both the discovery (p = 0.024) and validation (p = 0.018) sets. In the discovery set, alteration in one or more of the three DNA repair genes ATM, RB1, and FANCC predicted pathologic response (p < 0.001; 87% sensitivity, 100% specificity) and better overall survival (p = 0.007). This test remained predictive for pathologic response in the validation set (p = 0.033), with a trend towards better overall survival (p = 0.055). These results require further validation in additional sample sets. Conclusions: Genomic alterations in the DNA repair-associated genes ATM, RB1, and FANCC predict response and clinical benefit after cisplatin-based chemotherapy for MIBC. The results suggest that defective DNA repair renders tumors sensitive to cisplatin. Patient summary Chemotherapy given before bladder removal (cystectomy) improves the chance of cure for some but not all patients with muscle-invasive bladder cancer. We found a set of genetic mutations that when present in tumor tissue predict benefit from neoadjuvant chemotherapy, suggesting that testing before chemotherapy may help in selecting patients for whom this approach is recommended.

AMVAC is well tolerated and results in similar pT0 rates with 6 weeks of treatment compared with standard 12-week regimens. Further analysis is ongoing to ascertain whether molecular alterations in tumor samples can predict response to chemotherapy.

This is the first comprehensive genomic analysis of ASCC, and the results suggest new therapeutic approaches. Differing genomic profiles between HPV-associated and HPV-negative ASCC warrants further investigation and may require novel therapeutic and preventive strategies.

BACKGROUND In the current study, the authors present a comprehensive genomic profile (CGP)‐based study of advanced urothelial carcinoma (UC) designed to detect clinically relevant genomic alterations (CRGAs). METHODS DNA was extracted from 40 µm of formalin‐fixed, paraffin‐embedded sections from 295 consecutive cases of recurrent/metastatic UC. CGP was performed on hybridization‐captured, adaptor ligation‐based libraries to a mean coverage depth of 688X for all coding exons of 236 cancer‐related genes plus 47 introns from 19 genes frequently rearranged in cancer, using process‐matched normal control samples as a reference. CRGAs were defined as GAs linked to drugs on the market or currently under evaluation in mechanism‐driven clinical trials. RESULTS All 295 patients assessed were classified with high‐grade (International Society of Urological Pathology classification) and advanced stage (stage III/IV American Joint Committee on Cancer) disease, and 294 of 295 patients (99.7%) had at least 1 GA on CGP with a mean of 6.4 GAs per UC (61% substitutions/insertions/deletions, 37% copy number alterations, and 2% fusions). Furthermore, 275 patients (93%) had at least 1 CRGA involving 75 individual genes with a mean of 2.6 CRGAs per UC. The most common CRGAs involved cyclin‐dependent kinase inhibitor 2A (CDKN2A) (34%), fibroblast growth factor receptor 3 (FGFR3) (21%), phosphatidylinositol 3‐kinase catalytic subunit alpha (PIK3CA) (20%), and ERBB2 (17%). FGFR3 GAs were diverse types and included 10% fusions. ERBB2 GAs were equally divided between amplifications and substitutions. ERBB2 substitutions were predominantly within the extracellular domain and were highly enriched in patients with micropapillary UC (38% of 32 cases vs 5% of 263 nonmicropapillary UC cases; P<.0001). CONCLUSIONS Using a CGP assay capable of detecting all classes of GA simultaneously, an extraordinarily high frequency of CRGA was identified in a large series of patients with advanced UC. Cancer 2016;122:702–711. © 2015 American Cancer Society.

To study the frequency with which targeted tumor sequencing results will lead to implemented change in care, this study assessed tumors from 100 patients for utility, feasibility, and limitations of genomic sequencing for genomically guided therapy or other clinical purpose in the setting of a multidisciplinary molecular tumor board. Comprehensive profiling led to implementable clinical action in 35% of tumors with genomic alterations.

Inflammatory breast cancer (IBC) is a distinct clinicopathologic entity that carries a worse prognosis relative to non-IBC breast cancer even when matched for standard biomarkers (ER/PR/HER2). The objective of this study was to identify opportunities for benefit from targeted therapy, which are not currently identifiable in the standard workup for advanced breast cancer. Comprehensive genomic profiling on 53 IBC formalin-fixed paraffin-embedded specimens (mean, 800× + coverage) using the hybrid capture-based FoundationOne assay. Academic and community oncology clinics. From a series of 2208 clinical cases of advanced/refractory invasive breast cancers, 53 cases with IBC were identified. The presence of clinically relevant genomic alterations (CRGA) in IBC and responses to targeted therapies. CRGA were defined as genomic alterations (GA) associated with on label targeted therapies and targeted therapies in mechanism-driven clinical trials. For the 44 IBCs with available biomarker data, 19 (39 %) were ER-/PR-/HER2- (triple-negative breast cancer, TNBC). For patients in which the clinical HER2 status was known, 11 (25 %) were HER2+ with complete (100 %) concordance with ERBB2 (HER2) amplification detected by the CGP assay. The 53 sequenced IBC cases harbored a total of 266 GA with an average of 5.0 GA/tumor (range 1-15). At least one alteration associated with an FDA approved therapy or clinical trial was identified in 51/53 (96 %) of cases with an average of 2.6 CRGA/case. The most frequently altered genes were TP53 (62 %), MYC (32 %), PIK3CA (28 %), ERBB2 (26 %), FGFR1 (17 %), BRCA2 (15 %), and PTEN (15 %). In the TNBC subset of IBC, 8/19 (42 %) showed MYC amplification (median copy number 8X, range 7-20) as compared to 9/32 (28 %) in non-TNBC IBC (median copy number 7X, range 6-21). Comprehensive genomic profiling uncovered a high frequency of GA in IBC with 96 % of cases harboring at least 1 CRGA. The clinical benefit of selected targeted therapies in individual IBC cases suggests that a further study of CGP in IBC is warranted.

Background. Targeted ERBB2/HER2 inhibitors are approved by the U.S. Food and Drug Administration for the treatment of breast, gastric, and esophageal cancers that overexpress or amplify HER2/ERBB2, as measured by immunohistochemistry (IHC) and fluorescence in situ hybridization (FISH), respectively. Activating mutations in ERBB2 have also been reported and are predicted to confer sensitivity to these targeted agents.Testing for these mutations is not performed routinely, and FISH and IHC are not applied outside of these approved indications. Materials and Methods. We explored the spectrum of activating ERBB2 alterations across a collection of ∼7,300 solid tumor specimens that underwent comprehensive genomic profiling using next-generation sequencing. Results were analyzed for base substitutions, insertions and deletions, select rearrangements, and copy number changes.

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