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Purpose: HER2-positive breast cancer is heterogeneous. Some tumors express mutations, like activating PIK3CA mutations or reduced PTEN expression, that negatively correlate with response to HER2-targeted therapies. In this exploratory analysis, we investigated whether the efficacy of trastuzumab emtansine (T-DM1), an antibody–drug conjugate comprised of the cytotoxic agent DM1 linked to the HER2-targeted antibody trastuzumab, was correlated with the expression of specific biomarkers in the phase III EMILIA study.Experimental Design: Tumors were evaluated for HER2 (n = 866), EGFR (n = 832), and HER3 (n = 860) mRNA expression by quantitative reverse transcriptase PCR; for PTEN protein expression (n = 271) by IHC; and for PIK3CA mutations (n = 259) using a mutation detection kit. Survival outcomes were analyzed by biomarker subgroups. T-DM1 was also tested on cell lines and in breast cancer xenograft models containing PIK3CA mutations.Results: Longer progression-free survival (PFS) and overall survival (OS) were observed with T-DM1 compared with capecitabine plus lapatinib in all biomarker subgroups. PIK3CA mutations were associated with shorter median PFS (mutant vs. wild type: 4.3 vs. 6.4 months) and OS (17.3 vs. 27.8 months) in capecitabine plus lapatinib–treated patients, but not in T-DM1–treated patients (PFS, 10.9 vs. 9.8 months; OS, not reached in mutant or wild type). T-DM1 showed potent activity in cell lines and xenograft models with PIK3CA mutations.Conclusions: Although other standard HER2-directed therapies are less effective in tumors with PI3KCA mutations, T-DM1 appears to be effective in both PI3KCA-mutated and wild-type tumors. Clin Cancer Res; 22(15); 3755–63. ©2016 AACR.

Purpose: Trastuzumab-emtansine (T-DM1) is an antibody–drug conjugate (ADC) comprising the cytotoxic agent DM1 conjugated to trastuzumab with a stable linker. Thrombocytopenia was the dose-limiting toxicity in the phase I study, and grade ≥3 thrombocytopenia occurred in up to 13% of patients receiving T-DM1 in phase III studies. We investigated the mechanism of T-DM1–induced thrombocytopenia.Experimental Design: The effect of T-DM1 on platelet function was measured by aggregometry, and by flow cytometry to detect the markers of activation. The effect of T-DM1 on differentiation and maturation of megakaryocytes (MK) from human hematopoietic stem cells was assessed by flow cytometry and microscopy. Binding, uptake, and catabolism of T-DM1 in MKs, were assessed by various techniques including fluorescence microscopy, scintigraphy to detect T-[H3]-DM1 and 125I-T-DM1, and mass spectrometry. The role of FcγRIIa was assessed using blocking antibodies and mutant constructs of trastuzumab that do not bind FcγR.Results: T-DM1 had no direct effect on platelet activation and aggregation, but it did markedly inhibit MK differentiation via a cytotoxic effect. Inhibition occurred with DM1-containing ADCs but not with trastuzumab demonstrating a role for DM1. MKs internalized these ADCs in a HER2-independent, FcγRIIa-dependent manner, resulting in intracellular release of DM1. Binding and internalization of T-DM1 diminished as MKs matured; however, prolonged exposure of mature MKs to T-DM1 resulted in a disrupted cytoskeletal structure.Conclusions: These data support the hypothesis that T-DM1–induced thrombocytopenia is mediated in large part by DM1-induced impairment of MK differentiation, with a less pronounced effect on mature MKs. Clin Cancer Res; 21(1); 123–33. ©2014 AACR.

Supplementary Fig 1. Overall survival by HER2 mRNA percentile Supplementary Fig 2. Patient disposition and biomarker availability in the EMILIA trial. Supplementary Fig 3. Potential mechanism by which T-DM1 may bypass a common resistance pathway in HER2-positive cancer cells Supplementary Table 1. REMARK2 Checklist. Supplementary Table 2. Selected Patient Demographic and Baseline Characteristics by Treatment Arm in Evaluable and Nonevaluable Patients.

Supplementary Methods, Figures S1-S7 Suppl. Fig. S1, Differentiation of hematopoietic stem cells (CD133+/CD34+) into immature megakarytocytes Suppl. Fig. S2, T-DM1 does not directly induce platelet aggregation in washed platelets Suppl. Fig. S3, At high concentrations, DM1 inhibits agonist-induced platelet aggregation in platelet-rich plasma Suppl. Fig. S4, DM1 conjugates alter the morphology of megakaryocytes Suppl. Fig. S5, Uptake of T-[3H]DM1 varies by differentiation stage Suppl. Fig. S6, HER2 is not expressed on megakaryocytes or platelets Suppl. Fig. S7, Prolonged exposure to T-DM1 results in disruption of cytoskeletal structure in maturing megakaryocytes

Amplification (amp) of MET can be observed in cases of focal gene copy number gain, such as MET-driven amp, or with a gain of chromosome 7, such as aneuploidy. Several studies have shown that only high-level focal MET amp (MET/CEP7 ratio ≥5) is oncogenic, with such tumors responding to targeted therapy. However, there are few reports on how to distinguish between focal amplification and aneuploidy using next-generation sequencing (NGS). A total of 1025 patients with advanced solid tumors (typically pre-treated) were tested with a non-invasive comprehensive cfDNA NGS panel (Guardant360) from July 2014 to June 2019. Since bioinformatics upgrades of Guardant360 were undergoing in September 2018, focal MET amp was determined by our independent algorithm using the cohorts tested before September 2018 (291 patients), and validation was performed in the remaining cohort (734 patients). MET alterations (alts) associated with aberrant signaling were found in 110 patients (10.7%) among nine different cancer types, most commonly in non-small cell (12.2%, 62/510) and small cell (33.3%, 3/9) lung cancers, gastroesophageal cancer (19.4%, 7/36), and prostate adenocarcinoma (15.6%, 5/32). Among 291 patients tested before September 2018, 37 (12.7%) had MET alts. Among these, 24 (64.9%) had amps, 5 (13.5%) had exon 14 skipping, and 13 (35.1%) had single nucleotide variants (SNVs). Co-alterations, such as amp + SNVs, were found in four samples (10.8%). Among 24 MET amps, 29.2% (7/24) were focal according to our algorithm. MET copy number was significantly higher with focal amp compared to non-focal amp (mean copy number 3.26 vs. 2.44, respectively, p = 0.00304). In 734 patients tested after September 2018, our definition of focal MET amp was detected in 4.2% (31/734). Overall, focal amplification based on our algorithm was 3.7% (=38/1025). This study describes an approach to distinguish focal and non-focal MET amplification using comprehensive genomic profiling of cfDNA in advanced cancer patients. Focal MET amp accounted for ~30% of all MET amp, which was found in 3.7% of patients with diverse cancers and was associated with a higher plasma copy number. Clinical studies are warranted to assess the clinical utility of targeted therapies for tumors with focal MET amplification detected by NGS of cfDNA.

Background Because of the growing number of actionable biomarkers in non-small cell lung cancer (NSCLC), sufficient tissue availability for testing is becoming a greater challenge. Liquid biopsy offers a potential solution by complementing standard tissue-based methods. In this study, the authors analyzed the concordance of actionable genomic alterations sequenced from circulating tumor DNA (ctDNA; Guardant360) and tissue (Oncomine Focus Assay). Methods From September 2015 to May 2018, 421 paired plasma and tissue samples from patients with advanced NSCLC who had previously undergone tissue testing by standard methods were collected. Both types of samples were available for 287 patients (262 in cohort 1 [treatment-naive] and 25 in cohort 2 [treatment failure]), and only 1 sample type was available for 134 patients (50 in cohort 3 [plasma only] and 84 in cohort 4 [tissue only]). Results In cohort 1, 198 samples (77.6%) showed concordance between tissue and plasma next-generation sequencing (NGS). Among the discordant cases, plasma testing detected additional genomic alterations in 11 patients (4.2%). In 50 patients without tissue-based NGS results (cohort 3), the ctDNA-based test detected genomic alterations in 20 samples (40.0%). The median allele frequency (AF) of mutations identified with ctDNA-based NGS (0.74%) was lower than that identified with the tissue-based NGS test (13.90%). Clinical responses to matched targeted therapy occurred, regardless of the ctDNA AF. Upfront ctDNA-based testing identified 60.4% of patients with genomic alterations. In addition, ctDNA-based testing uncovered 12.0% more actionable alterations when it was performed after tissue-based NGS testing. Conclusions The results indicate that a ctDNA-based test identifies additional patients with actionable genomic alterations and could, therefore, be used to complement traditional tissue-based testing for NSCLC. Lay summary Circulating tumor DNA (ctDNA)-based next-generation sequencing (NGS) testing is becoming essential as the number of actionable genomic biomarker increases for the treatment selection of non-small cell lung cancer. This study demonstrates the additive value of ctDNA-based testing in addition to tissue-based NGS and standard of care-based biomarker testing for detecting additional patients with actionable genomic alterations. Clinical responses have also been observed in patients with a low allele frequency detected by ctDNA-based NGS testing.

Patients with ALK-rearranged non-small cell lung cancer (ALK+ NSCLC) inevitably acquire resistance to ALK inhibitors. Longitudinal monitoring of cell-free plasma DNA (cfDNA) next-generation sequencing (NGS) could predict the response and resistance to tyrosine kinase inhibitor (TKI) therapy in ALK+ NSCLC.Patients with ALK+ NSCLC determined by standard tissue testing and planned to undergo TKI therapy were prospectively recruited. Plasma was collected at pretreatment, 2 months-post therapy, and at progression for cfDNA-NGS analysis, Guardant 360.Among 92 patients enrolled, circulating tumor DNA (ctDNA) was detected in 69 baseline samples (75%): 43 ALK fusions (62.3%) and two ALK mutations without fusion (2.8%). Two patients showed ALK-resistance mutations after ceritinib; G1202R, and co-occurring G1202R and T1151R. Eight patients developed ALK resistance mutations after crizotinib therapy; L1196M (n = 5), G1269A (n = 1), G1202R (n = 1), and co-occurring F1174L, G1202R, and G1269A (n = 1). Absence of ctDNA at baseline was significantly associated with longer progression-free survival (PFS; median 36.1 vs. 11.4 months, p = 0.0049) and overall survival (OS; not reached vs. 29.3 months, p = 0.0200). ctDNA clearance at 2 months (n = 29) was associated with significantly longer PFS (25.4 vs. 11.6 months, p = 0.0012) and OS (not reached vs. 26.1 months, p = 0.0307) than those without clearance (n = 22). Patients with co-occurring TP53 alterations and ALK fusions at baseline (n = 16) showed significantly shorter PFS (7.28 vs. 13.0 months, p = 0.0307) than those without TP53 alterations (n = 25).cfDNA-NGS facilitates detection of ALK fusions and resistance mutations, assessment of prognosis, and monitoring dynamic changes of genomic alterations in ALK+ NSCLC treated with ALK-TKI.

The applicability of circulating tumor DNA (ctDNA) genotyping to inform enrollment of patients with cancer in clinical trials has not been established. We conducted a phase 2 trial to evaluate the efficacy of pertuzumab plus trastuzumab for metastatic colorectal cancer (mCRC), with human epidermal growth factor receptor 2 (HER2) amplification prospectively confirmed by tumor tissue or ctDNA analysis (UMIN000027887). HER2 amplification was confirmed in tissue and/or ctDNA in 30 patients with mCRC. The study met the primary endpoint with a confirmed objective response rate of 30% in 27 tissue-positive patients and 28% in 25 ctDNA-positive patients, as compared to an objective response rate of 0% in a matched real-world reference population treated with standard-of-care salvage therapy. Post hoc exploratory analyses revealed that baseline ctDNA genotyping of HER2 copy number and concurrent oncogenic alterations adjusted for tumor fraction stratified patients according to efficacy with similar accuracy to tissue genotyping. Decreased ctDNA fraction 3 weeks after treatment initiation associated with therapeutic response. Pertuzumab plus trastuzumab showed similar efficacy in patients with mCRC with HER2 amplification in tissue or ctDNA, showing that ctDNA genotyping can identify patients who benefit from dual-HER2 blockade as well as monitor treatment response. These findings warrant further use of ctDNA genotyping in clinical trials for HER2-amplified mCRC, which might especially benefit patients in first-line treatment., The multicenter phase 2 TRIUMPH trial shows the utility of ctDNA genotyping as a screening platform to select patients with HER2-amplified metastatic colorectal cancer who benefit from dual-HER2 blockade with trastuzumab and pertuzumab

Shared decision-making (SDM) is a collaborative approach to making decisions in health care, and is a cornerstone of person-centered care. While providers are increasingly expected to utilize SDM in routine practice, widespread and sustainable implementation has proven difficult, especially in the care of individuals diagnosed with serious mental illnesses, and physicians and patients continue to identify barriers to effective collaboration. To date, SDM research has largely focused on the provision of high-quality clinical information from doctors to patients to the neglect of what may be the most important, and transformative, aspect of SDM-the relationship itself. In this forum, the lack of attention to the relationship in SDM research and practice will be explored, along with the relational qualities that need to be in place to implement SDM in the care of persons with serious mental illness based on the findings from a mixed-methods, participatory research project.

Background ERBB2 amp occurs in approximately 4% of pts with mCRC. We conducted a phase II trial to evaluate the efficacy and safety of T and P in pts with ERBB2-amplified mCRC identified by tissue and/or ctDNA analysis. Methods We enrolled pts with central tissue and/or ctDNA (Guardant360) confirmed wild-type RAS and ERBB2-amplified mCRC, refractory or intolerant to standard chemotherapy including EGFR blockade. Pts received T and P every 3 weeks. The primary endpoint was confirmed objective response rate (ORR) by investigator assessment, analyzed for two primary populations: tissue-positive and ctDNA-positive. The required sample size for each group was 25 (one-sided α = 2.5%, β = 10%) to test the threshold ORR of 5% against the expected ORR of 30%; 5 confirmed responses were needed to determine statistical significance. Results The first response evaluation was done on Jan 7, 2019. Of 19 pts enrolled at 7 sites, 18 were evaluable for response. ERBB2-amp was confirmed in both tissue and ctDNA for 14 pts, in tissue alone for 3, and in ctDNA alone for 1; therefore, 17 and 15 pts were assigned to the tissue-positive and the ctDNA-positive group, respectively. With median follow-up of 5.4 months, there were 6 confirmed responders in the tissue-positive group (ORR = 35%, 95% confidence interval [CI] 14-62%; 1 CR and 5 PR) and 5 in the ctDNA positive group (ORR = 33%, 95% CI 12-62%; 1 CR and 4 PR). Median progression-free survival for both groups was 4.0 months (95% CI = 1.4-5.6 months and 1.3-5.6 months, respectively). Clonal ctDNA mutations in KRAS, BRAF, PIK3CA, or ERBB2 at baseline were observed only in pts with disease progression as best response. The safety profile of T and P was consistent with prior reports. Severe adverse events were reported in 2 pts: Gr 3 decreased ejection fraction and Gr 3 infusion related reaction. Conclusions The TRIUMPH study met its primary endpoint, demonstrating that combination of T and P has promising activity, with an acceptable toxicity profile, in treatment-refractory mCRC pts with ERBB2 amp in tissue and/or ctDNA. Clonal oncogenic ctDNA driver mutations may predict for primary resistance. Clinical trial identification UMIN000027887. Legal entity responsible for the study SCRUM-Japan GI-SCREEN. Funding Japan Agency for Medical Research and Development. Disclosure Y. Nakamura: Research grant / Funding (institution): Taiho Pharmaceutical; Research grant / Funding (institution): Ono Pharmaceutical. W. Okamoto: Research grant / Funding (self): MSD. T. Kato: Honoraria (self), Research grant / Funding (self): Chugai Pharma; Honoraria (self): Takeda; Honoraria (self): Bayer; Honoraria (self): Lilly; Honoraria (self): Yakult Honsha; Honoraria (self): Sanofi. K. Kato: Advisory / Consultancy, Research grant / Funding (institution): Ono Pharmaceutical; Advisory / Consultancy, Research grant / Funding (institution): BeiGene; Advisory / Consultancy: MSD; Advisory / Consultancy: Oncolys BioPharma; Research grant / Funding (self): Shionogi; Research grant / Funding (self): MSD Oncology. S. Iwasa: Honoraria (self): Taiho Pharmaceutical; Honoraria (self), Research grant / Funding (institution): Lilly Japan; Honoraria (self), Research grant / Funding (institution): Chugai Pharma; Honoraria (self): Ono Pharmaceutical; Research grant / Funding (institution): Daiichi Sankyo; Research grant / Funding (institution): Bristol-Myers Squibb; Research grant / Funding (institution): Eisai; Research grant / Funding (institution): Novartis; Research grant / Funding (institution): Merck Serono; Research grant / Funding (institution): Otsuka; Research grant / Funding (institution): Bayer. T. Esaki: Honoraria (self), Research grant / Funding (institution): Lilly; Honoraria (self): Taiho Pharmaceutical; Honoraria (self), Research grant / Funding (institution): Bristol-Myers Squibb Japan; Honoraria (self): Eisai; Honoraria (self), Research grant / Funding (institution): Daiichi Sankyo; Honoraria (self), Research grant / Funding (institution): Merck Serono; Honoraria (self): Chugai Pharma; Honoraria (self), Research grant / Funding (institution): Ono Pharmaceutical; Honoraria (self): Takeda; Honoraria (self), Research grant / Funding (institution): Bayer; Honoraria (self): Sanofi; Research grant / Funding (institution): MSD; Research grant / Funding (institution): Novartis; Research grant / Funding (institution): Sumitomo Dainippon Pharma; Research grant / Funding (institution): Astellas Pharma; Research grant / Funding (institution): Nihonkayaku; Research grant / Funding (institution): Pfizer. Y. Komatsu: Speaker Bureau / Expert testimony, Research grant / Funding (self): Taiho Pharmaceutical; Speaker Bureau / Expert testimony, Research grant / Funding (self): Lilly; Speaker Bureau / Expert testimony, Research grant / Funding (self): Chugai Pharma; Speaker Bureau / Expert testimony: Merck Serono; Honoraria (self), Speaker Bureau / Expert testimony, Research grant / Funding (self): Novartis; Honoraria (self), Speaker Bureau / Expert testimony: Pfizer; Honoraria (institution), Speaker Bureau / Expert testimony, Research grant / Funding (self): Bayer; Speaker Bureau / Expert testimony, Research grant / Funding (self): Ono Pharmaceutical; Speaker Bureau / Expert testimony: Yakult Honsha; Speaker Bureau / Expert testimony, Research grant / Funding (self): Takeda; Speaker Bureau / Expert testimony, Research grant / Funding (self): Sanofi; Speaker Bureau / Expert testimony: Bristol-Myers Squibb Japan; Speaker Bureau / Expert testimony: Daiichi Sankyo; Speaker Bureau / Expert testimony: TOWA; Speaker Bureau / Expert testimony: Nipro Corporation; Research grant / Funding (self): MSD; Research grant / Funding (self): Yakult Pharmaceutical; Research grant / Funding (self): Sumitomo Dainippon Pharma; Research grant / Funding (self): Boehringer Ingelheim; Research grant / Funding (self): Sysmex. T. Masuishi: Honoraria (self): Taiho Pharmaceutical; Honoraria (self): Merck Serono; Honoraria (self): Chugai Pharma; Honoraria (self), Research grant / Funding (institution): Yakult Honsha; Honoraria (self): Takeda; Honoraria (self): Lilly; Honoraria (self): Bayer Yakuhin; Honoraria (self): Sanofi. T. Nishina: Honoraria (self), Research grant / Funding (institution): Taiho Pharmaceutical; Honoraria (self), Research grant / Funding (institution): Chugai Pharma; Honoraria (self): Lilly; Research grant / Funding (institution): Lilly Japan; Honoraria (self), Research grant / Funding (institution): Merck Serono; Honoraria (self): Takeda; Honoraria (self): Bristol-Myers Squibb; Honoraria (self): Nihonkayaku; Research grant / Funding (institution): Sumitomo Dainippon Pharma; Research grant / Funding (institution): MSD; Research grant / Funding (institution): Daiichi Sankyo; Research grant / Funding (institution): Ono Pharmaceutical. J.I. Odegaard: Shareholder / Stockholder / Stock options, Full / Part-time employment: Guardant Health. S. Olsen: Full / Part-time employment: Guardant Health AMEA; Shareholder / Stockholder / Stock options: Guardant Health; Shareholder / Stockholder / Stock options: AstraZeneca. T. Yoshino: Research grant / Funding (institution): Sumitomo Dainippon Pharma Co., Ltd.; Research grant / Funding (institution): Chugai Pharmaceutical Co., Ltd.; Research grant / Funding (institution): Sanofi. K.K.; Research grant / Funding (institution): Daiichi Sankyo Company, Limited; Research grant / Funding (institution): Parexel International Inc.; Research grant / Funding (institution): Ono Pharmaceutical Co., Ltd.; Research grant / Funding (institution): MSD. K. K. All other authors have declared no conflicts of interest.

Background Circulating tumor DNA (ctDNA) analysis has been successfully applied to therapy selection and treatment monitoring in advanced cancer patients. However, it is not yet established whether ctDNA can be used clinically for early cancer detection or recurrence prediction in early stage lung cancer patients. Methods We analyzed pre-operative plasma samples from 55 early stage NSCLC patients (stages I-IIIA) using next-generation sequencing assay incorporating somatic and epigenomic analysis, and a bioinformatic classifier to filter non-tumor derived variants. Table: 111P . Cell type Stage Somatic mutation Epigenetic pattern Total number Recurrence+, n (%) Site of recurrence Adenocarcinoma stage 1 ctDNA- methylation- 9 1 (11) Lung n = 17 methylation+ 6 2 (33.3) Stump, bone ctDNA+ 2 1 (50) lung stage 2 ctDNA- methylation- 0 0 (0) n = 2 methylation+ 0 0(0) ctDNA+ 1 1 (100) multiple stage 3 ctDNA- methylation- 0 0 (0) n = 4 methylation+ 2 0 (0) ctDNA+ 2 2 (100) brain, multiple Sqaumous cell carcinoma stage1 ctDNA- methylation- 0 0 (0) n = 7 methylation+ 3 0 (0) ctDNA+ 4 1 (25) multiple stage2 ctDNA- methylation- 0 0 (0) n = 9 methylation+ 0 0 (0) ctDNA+ 9 2 (22.2) multiple, lung stage3 ctDNA- methylation- 0 0 (0) n = 4 methylation+ 1 0 (0) ctDNA+ 3 1 (33.3) Mediastinal LNs Results Somatic mutation analysis alone detected ctDNA in 42% (23/55) of patients, whereas combined mutational and epigenomic analysis detected ctDNA in 67% (37/55). ctDNA detection rate varied by pathological subtypes; using combined approach, ctDNA was detected in all squamous cell carcinoma patients, while only 55% (12/22) in adenocarcinoma (ADC) (p=0.006). Within the ADC subgroup, ctDNA detection rates using the combined approach were dependent on disease stage: 47% (8/17) in stage I, 100% (2/2) in stage II, and 100% (2/2) in stage IIIA. Importantly, within 2 years of follow-up, pre-operative ctDNA status was correlated with tumor recurrence after resection; among 17 stage I ADC patients, three of eight (38%) ctDNA-positive cases showed recurrence, while only one of nine (11%) ctDNA-negative cased did (p=0.29). Interestingly, patients with somatic mutation in their ctDNA have shown higher recurrence rate. Conclusion Utilizing a plasma-only sequencing assay incorporating somatic genomic and epigenomic analysis, ctDNA detection rate in early stage lung cancer (stage I-III) can far outperform the detection rate of somatic sequence variant detection alone. And, the presence of pre-operative ctDNA in patients with early stage lung adenocarcinoma may identify those who are more likely to have disease recurrence. Legal entity responsible for the study: Guradant Health, Inc. Funding Guardant Health, Redwood City, CA, USA. Disclosure I. Kim: Full / Part-time employment, Officer / Board of Directors: Guardant Health. M. Shultz: Officer / Board of Directors: Guardant Health. A. Jaimovich: Officer / Board of Directors: Guardant Health. J. Odegaard: Officer / Board of Directors: Guardant health, Inc. S. Olsen: Officer / Board of Directors: Guardant Health, Inc. A. Talasaz: Officer / Board of Directors: Guardant health. J. Kim: Research grant / Funding (self): Guardant health, Inc. All other authors have declared no conflicts of interest.

Purpose: HER2-positive breast cancer is heterogeneous. Some tumors express mutations, like activating PIK3CA mutations or reduced PTEN expression, that negatively correlate with response to HER2-targeted therapies. In this exploratory analysis, we investigated whether the efficacy of trastuzumab emtansine (T-DM1), an antibody–drug conjugate comprised of the cytotoxic agent DM1 linked to the HER2-targeted antibody trastuzumab, was correlated with the expression of specific biomarkers in the phase III EMILIA study. Experimental Design: Tumors were evaluated for HER2 (n = 866), EGFR (n = 832), and HER3 (n = 860) mRNA expression by quantitative reverse transcriptase PCR; for PTEN protein expression (n = 271) by IHC; and for PIK3CA mutations (n = 259) using a mutation detection kit. Survival outcomes were analyzed by biomarker subgroups. T-DM1 was also tested on cell lines and in breast cancer xenograft models containing PIK3CA mutations. Results: Longer progression-free survival (PFS) and overall survival (OS) were observed with T-DM1 compared with capecitabine plus lapatinib in all biomarker subgroups. PIK3CA mutations were associated with shorter median PFS (mutant vs. wild type: 4.3 vs. 6.4 months) and OS (17.3 vs. 27.8 months) in capecitabine plus lapatinib–treated patients, but not in T-DM1–treated patients (PFS, 10.9 vs. 9.8 months; OS, not reached in mutant or wild type). T-DM1 showed potent activity in cell lines and xenograft models with PIK3CA mutations. Conclusions: Although other standard HER2-directed therapies are less effective in tumors with PI3KCA mutations, T-DM1 appears to be effective in both PI3KCA-mutated and wild-type tumors. Clin Cancer Res; 22(15); 3755–63. ©2016 AACR.

Whereas the genesis of an arterial lesion is thought to be the result of migration and proliferation of vascular cells, recent insights into the biology of progenitor cells now question this concept. Specifically, endothelial and smooth muscle cells appear to be derived from multiple sources such as circulating stem and progenitor cells, as well as tissue-resident progenitor cell populations. These cells may engraft at sites of vascular injury and play an integral role in vascular repair. In this review, experimental data from in vitro studies, animal models, and scattered human observations are reviewed in the context of emerging hypotheses regarding the response to vascular injury.

構成：平田光司

Trastuzumab emtansine (T-DM1) is an antibody-drug conjugate (ADC) comprising trastuzumab, a stable thioether linker, and the maytansine derivative DM1, a microtubule inhibitor. T-DM1 has been evaluated for the treatment of human epidermal growth factor receptor 2 (HER2)-positive breast cancer in several phase 2 trials. Unexpectedly, the dose-limiting toxicity in patients treated with T-DM1 was dose- and duration-dependent thrombocytopenia, even though HER2 is not detected on platelets. To understand the mechanism of T-DM1-induced thrombocytopenia, we evaluated the effect of T-DM1 on platelet (PLT) function and formation from hematopoietic stem cells (HSCs). Using PLT-rich plasma (PRP) or washed PLT (WP) from healthy human donors, PLT function was assessed by aggregometry and flow cytometry to evaluate activation markers (PAC1; CD62P) in the presence of T-DM1, trastuzumab, control ADC (anti-CD22 conjugated to DM1), free DM1, or vehicle. Human HSCs (CD133+/CD34+) were purified from healthy donor bone marrow, expanded in hematopoietic expansion media, and transferred to megakaryocyte (Mk) differentiation media for 14 days to obtain mature Mks, in the presence of T-DM1, trastuzumab, ADC control (5B6, anti-gD conjugated to DM1), and vehicle. T-DM1 uptake and catabolism in Mks were evaluated by incubating the cells with T-[3H]DM1. Incubation with T-DM1, free DM1, or any controls at clinically relevant concentrations had no observable effect on platelet aggregation in PRP or WP and no direct impact on PLT activation (PAC1 binding or CD62P expression). Neither T-DM1 nor free DM1 inhibited PLT aggregation and activation induced by the PLT agonists collagen and TRAP6. Treatment of mature Mks with T-DM1 and control ADC resulted in a decrease in Mk number and a significant decrease (∼3-fold) in Mk production from HSC precursors, as measured by a reduction in CD41+/CD61+ cells. Incubation of Alexa488-conjugated trastuzumab and T-DM1 with Mks resulted in surface binding and internalization as assessed by immunofluorescence and flow cytometry. Preincubation with anti-CD32 decreased Alexa488-conjugated T-DM1 antibody binding and uptake (∼2-fold), suggesting that FcR IIb contributes to this process. To determine the fate of the internalized antibody, we quantified the uptake and catabolism of T-DM1 in Mks using T-[3H]DM1. Total cellular T-[3H]DM1 increased over the 3-day incubation with peak concentrations occurring during the first 8 hours of incubation, and a peak total uptake in the Mks of 0.4% of the total dose. The metabolized intracellular⌝-free [3H]DM1 levels were 0.1% of the total dose. By quantification of the HSCs and various ploidy populations, T-DM1 was found to primarily inhibit Mk production from HSCs rather than directly impact mature Mks. Furthermore, the similarity of effects between T-DM1 and 5B6-DM1 suggests that the DM1 moiety is responsible for the observed platelet reduction. Our experiments show that T-DM1 did not have a direct effect on PLT function but did impair Mk and PLT production. DM1-conjugated antibodies were internalized in a target-independent, partially Fc-dependent manner into Mks, and intracellular release of DM1 resulted in a reduction of the stem cell population. These data support the hypothesis that the thrombocytopenia observed in clinical trials may be a consequence of impaired PLT production from Mks in the bone marrow. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the AACR-NCI-EORTC International Conference: Molecular Targets and Cancer Therapeutics; 2011 Nov 12-16; San Francisco, CA. Philadelphia (PA): AACR; Mol Cancer Ther 2011;10(11 Suppl):Abstract nr A135.

We studied the effects of anemia and ouabain administration on cardiac function, oxygen physiology, and blood catecholamine levels in nine newborn lambs. We measured oxygen consumption continuously, along with traditional hemodynamic variables. Oxygen transport was calculated. Following baseline measurements, lambs were made anemic (mean hematocrit = 12%) by isovolemic exchange transfusion with Plasmanate, and measurements were repeated. Thereafter ouabain was administered as a 75 micrograms/kg bolus, followed by 30 min of infusion at a rate of 0.05 microgram/kg/min. Measurements were repeated at the conclusion of infusion. Anemia was associated with a heart rate related rise in left ventricular rate of pressure rise, a rise in oxygen consumption, an increase in cardiac output, a decrease in systemic vascular resistance, and a rise in fractional oxygen extraction (oxygen consumption/transport). Following ouabain administration, cardiac output, oxygen consumption, and stroke work fell, but left ventricular rate of pressure rise and the extraction ratio did not change. Serum levels of epinephrine and norepinephrine rose with sustained anemia and ouabain infusion. In this setting, ouabain effects are manifested primarily by alterations in oxygen transport and metabolism rather than by changes in traditional assessments of left ventricular contractile function.

We reported previously negative inotropic effects of serum from children with bacterial sepsis on an isolated dog papillary muscle preparation (Ped Res 18:1132, 1984). We have now studied sterile filtrate of a broth culture of Staphylococcus aureus (SA) from an infant with sepsis and depressed myocardial function. We suspended dog left ventricular papillary muscles in 50 ml oxygenated buffer and allowed 30 min of stabilization at a stimulated rate of 60/min. We measured maximum force generated (Fmax, mg) and rate of change of force (dF/dt, gm/sec) for muscles which were 1 mm2 in cross-sectional area and at 25 mg resting tension. Measurements were made before (C) and 10 minutes after addition of solutions listed below to the were as follows: Results suggest a non-dialyzable (12-14,000 heat labile, pH labile bacterial product depressed contractile performance of dog papillary muscles isolated and stimulated in a muscle bath.