PURPOSE:Trastuzumab deruxtecan (T-DXd) is an antibody-drug conjugate approved for human epidermal growth factor receptor 2 (HER2)-positive gastric cancer (GC) and gastroesophageal junction adenocarcinoma (GEJA). Eligibility for T-DXd therapy currently relies on conventional HER2 immunohistochemistry (IHC) scoring per ASCO/CAP guidelines. Computational pathology tools such as quantitative continuous scoring (QCS) offer precise quantification of HER2 expression, enabling improved scores reflective of T-DXd's mechanism of action. METHODS:We used HER2-QCS scoring to identify biomarker signatures in the DESTINY-Gastric01 cohort, with external validation in DESTINY-Gastric02. RESULTS:QCS-derived continuous spatial proximity score (cSPS) and density of HER2-positive cells in tumor epithelium (DPC) displayed significant survival benefits for biomarker-positive versus biomarker-negative patients in the DESTINY-Gastric01 T-DXd arm (Cox regression: P < .0001). These signatures were validated in the DESTINY-Gastric02 cohort (log-rank P < .0001). CONCLUSION:Our findings indicate that cSPS and DPC are predictive of T-DXd clinical outcomes, supporting the potential future use of QCS as a quantitative approach to identify patients with GC who might benefit most from T-DXd therapy.
Abstract Background: Multi-omics analysis is widely used in cancer diagnosis, prognosis and prediction of treatment response. Here we introduce the use of targeted proteomics coupled with NGS as tools to assess oncogenic alterations along with quantitative protein expression in patients with mCRC. Our proteomics panel included proteins that are antibody drug conjugates (ADCs) targets (ERBB 1-4, TROP2, CEACAM5 etc.) as well as proteins involved in sensitivity to ADC payload (SLFN11, drug efflux pump, TOP1 etc.). Methods: The HORIZON III trial (NCT00384176) evaluated FOLFOX + bevacizumab or cediranib as first-line treatment in patients with mCRC (Schmoll J Clin Oncol 2012). In the current analysis, a subset of samples from the HORIZON III trial were assessed for molecular alterations using NGS and proteomics. Pre-existing HER2 IHC scores were used as previously referenced (Cecchi J Clin Oncol 2023). Samples were processed (n=135) with an automated extraction and library preparation method, then sequenced with both a Whole Exome and targeted-custom gene panel. NGS analysis had a success rate of 116/135 samples (87.3%). Absolute quantitation of protein targets was performed using parallel reaction monitoring (PRM) mass spectrometry after collecting tumor epithelial cells by laser microdissection and punch biopsies (n=60) followed by trypsin digestion. Results: The NGS analysis showed that patients had mutated RAS (50%), BRAF (10%), PIK3CA (16%), and TMB-H (18%) and MSI-H (5%) status. A distinguished pattern of mutual exclusivity among KRAS, NRAS, and BRAF mutations is evident. The HER2-positive patients were wildtype RAS, BRAF, and PIK3CA, MSS and TMB-L. Samples that were IHC HER2-positive matched those with NGS ERBB2 amplification. Using PRM, nearly all the evaluable samples had detectable HER2. HER2 IHC 3+ sample showed the highest protein expression at 30,000 amol/ug (equivalent to 1M receptors/cell). Within the HER2-negative patients, HER2 protein expression showed broad dynamic range. CEACAM5 and HER2 are the only ADC targets that reached the level of 1M receptors/cell. Highest TROP2 protein expression is 5 times lower than the highest HER2 value. Conclusions: Our preliminary findings for this cohort indicate the benefit of the use of multi-modal methodologies to inform better strategies for patient stratification and precision medicine, though further assessment of proteogenomic characteristics is needed. This data may inform future clinical development and guide patient eligibility to clinical trials and possible treatment sequencing for ADCs. Citation Format: William J. Kelly, Barrett Nuttall, Marlon Rebelatto, Marcus Schick, Armin Meier, Steve Sweet, Beom-Jun Kim, David Chain, Yeoun Jin Kim, Zhongwu Lai, Ying Wang, Todd H. Creasy, Ramya Gurrapu, Sakshi Gulati, Alice Barkell, Brian Dougherty, Danielle Carroll, Fabiola Cecchi. Targeted proteomics and next-generation sequencing (NGS) for biomarker discovery in metastatic colorectal cancer (mCRC) [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 936.
Many targeted cancer therapies rely on biomarkers assessed by scoring of immunohistochemically (IHC)-stained tissue, which is subjective, semiquantitative, and does not account for expression heterogeneity. We describe an image analysis-based method for quantitative continuous scoring (QCS) of digital whole-slide images acquired from baseline human epidermal growth factor receptor 2 (HER2) IHC-stained breast cancer tissue. Candidate signatures for patient stratification using QCS of HER2 expression on subcellular compartments were identified, addressing the spatial distribution of tumor cells and tumor-infiltrating lymphocytes. Using data from trastuzumab deruxtecan-treated patients with HER2-positive and HER2-negative breast cancer from a phase 1 study (NCT02564900; DS8201-A-J101; N = 151), QCS-based patient stratification showed longer progression-free survival (14.8 vs 8.6 months) with higher prevalence of patient selection (76.4 vs 56.9%) and a better cross-validated log-rank p value (0.026 vs 0.26) than manual scoring based on the American Society of Clinical Oncology / College of American Pathologists guidelines. QCS-based features enriched the HER2-negative subgroup by correctly predicting 20 of 26 responders.
Drug resistance is a long-standing impediment to effective systemic cancer therapy and acquired drug resistance is a growing problem for molecularly-targeted therapeutics that otherwise have shown unprecedented successes in disease control. The hepatocyte growth factor (HGF)/Met receptor pathway signaling is frequently involved in cancer and has been a subject of targeted drug development for nearly 30 years. To anticipate and study specific resistance mechanisms associated with targeting this pathway, we engineered resistance to the HGF-neutralizing antibody rilotumumab in glioblastoma cells harboring autocrine HGF/Met signaling, a frequent abnormality of this brain cancer in humans. We found that rilotumumab resistance was acquired through an unusual mechanism comprising dramatic HGF overproduction and misfolding, endoplasmic reticulum (ER) stress-response signaling and redirected vesicular trafficking that effectively sequestered rilotumumab and misfolded HGF from native HGF and activated Met. Amplification of MET and HGF genes, with evidence of rapidly acquired intron-less, reverse-transcribed copies in DNA, was also observed. These changes enabled persistent Met pathway activation and improved cell survival under stress conditions. Point mutations in the HGF pathway or other complementary or downstream growth regulatory cascades that are frequently associated with targeted drug resistance in other prevalent cancer types were not observed. Although resistant cells were significantly more malignant, they retained sensitivity to Met kinase inhibition and acquired sensitivity to inhibition of ER stress signaling and cholesterol biosynthesis. Defining this mechanism reveals details of a rapidly acquired yet highly-orchestrated multisystem route of resistance to a selective molecularly-targeted agent and suggests strategies for early detection and effective intervention.
449 Background: Trastuzumab deruxtecan (T-DXd) is an antibody-drug conjugate (ADC) approved for treatment of HER2-positive GC/gastroesophageal junction adenocarcinoma (GEJA) after chemotherapy (Japan) and for advanced/metastatic GC/GEJA after a trastuzumab-containing regimen (US/Israel/Singapore). Conventional HER2 immunohistochemistry (IHC) scoring identifies potential responders to trastuzumab but may not be suitable for next-generation ADCs capable of bystander killing, such as T-DXd [Modi NEJM 2022]. Use of computational pathology–based tools enables precise and accurate quantification of HER2 expression and spatial analysis, which enables design of better scores to reflect the T-DXd mechanism of action. Methods: Quantitative continuous scoring (QCS) was performed to quantify HER2 expression and distribution per cell in digitized images of HER2-stained (IHC, Ventana 4B5) GC. A QCS-derived signature was identified, called the continuous spatial proximity score (cSPS), which considers spatial location of tumor cells in addition to HER2 expression level and can be used as a surrogate for potential bystander activity. We retrospectively stratified patients in DESTINY-Gastric01 (DG-01; NCT03329690; T-DXd arm: n=123 a ; standard of care [SOC] arm: n=59 a ) using cSPS to give a binary QCS biomarker positive (BM+) or negative (BM−) status. QCS cSPS signature was independently validated on the DESTINY-Gastric02 cohort (DG-02; NCT04014075; n=71 a ). Results: In the DG-01 cohort, enrolled per HER2-positive status by IHC using ASCO/CAP GC scoring guidelines, median progression-free survival (mPFS) was 5.5 a mo with T-DXd and 2.8 a mo with SOC. QCS-derived cSPS scores showed significant survival benefit for BM+ vs BM− in the DG-01 T-DXd arm ( P<0.0001; HR=0.37 [0.24-0.58]) and longer mPFS for BM+ (8.3 mo) vs BM− (3.9 mo). Within the SOC arm, this signature showed the inverse prognosis ( P=0.034; HR=2.17 [1.06-4.44]; mPFS, 2.8 mo for BM+ vs 4.9 mo for BM−), strongly suggesting the signature is predictive of T-DXd response. This signature was validated in the DG-02 cohort (mPFS, 5.5 mo on enrollment by IHC status, 10.1 mo for BM+ vs 3.7 mo for BM−; HR=0.24 [0.13-0.45]; P<0.0001). Conclusions: We established QCS, a novel scoring method for tissue biomarkers. Our validated data and results support possible future use of this quantitative approach against manual scoring for identification of patients with GC who may benefit from T-DXd therapy. Clinical trial information: NCT03329690 , NCT04014075 . [Table: see text]
194 Background: Although regularly used in breast and gastric cancer, HER2 testing is not routinely performed in colorectal cancer (CRC). Immunohistochemistry (IHC) and in situ hybridization (ISH) scoring have not been optimized for assessment of HER2 overexpression and amplification in CRC. Varying rates of HER2 overexpression (2%-11%) have been reported in previously untreated CRC (Wang World J Gastrointest Oncol 2019) and patients with advanced/metastatic CRC with HER2 amplification or overexpression respond poorly to current standard of care therapies (Sartore-Bianchi Oncologist 2019). We characterized HER2 prevalence in a retrospective cohort analysis of clinical trial patients. Methods: The HORIZON III trial (NCT00384176) evaluated FOLFOX + bevacizumab or cediranib (AZD2171) as first-line (1L) treatment in patients with metastatic CRC (Schmoll J Clin Oncol 2012). The primary objective of this analysis of a subset of HORIZON III samples was to characterize HER2 prevalence in 1L metastatic CRC. Secondary and exploratory objectives included correlating HER2 status to other molecular findings (eg, RAS/RAF mutations), clinicopathologic characteristics, and patient outcomes. IHC was performed using a monoclonal anti-HER2 antibody PATHWAY HER2 [4B5] Ventana on primary CRC tumor sections and scored according to ASCO/CAP guidelines for gastric cancer (Bartley Arch Pathol Lab Med 2016). H&E staining was performed to determine the adequacy of tumor samples (ie, > 100 viable tumor cells per specimen). All tumors with an IHC score of 2+ were analyzed for amplification by ISH (HER2 IQFISH pharmDx dual probe kit, Agilent Technologies K573111-5). Targeted mutation panel testing was used to determine other molecular alterations. Descriptive statistics were used to summarize baseline and clinical outcome data by HER2 status. The current analysis was approved by the AstraZeneca bioethics review board. Results: Of the 1614 patients in HORIZON III, 396 met the inclusion criteria of appropriate consent, sufficient tumor sample for analysis, and a unique identifier. HER2-positive tumors (IHC3+ or IHC2+/ISH+) were identified in 2.1% of samples; 1.3% were IHC3+ and 0.8% were IHC2+/ISH+. Compared with IHC3+, IHC2+ tumors were more heterogeneous with mixed components of cells weakly expressing HER2 and lacking HER2 expression. Conclusions: This exploratory analysis of the HORIZON III study provides insights into HER2 prevalence in 1L, unselected, advanced/metastatic CRC, finding that 2.1% of tumors were HER2 positive. The demographic characteristics of patients with analyzable samples were representative of the entire HORIZON III study population; however, further assessment of KRAS status and other clinicopathological characteristics is needed. These data may inform future clinical development and support selection of patients with CRC who are likely to benefit from HER2 targeting therapies. Clinical trial information: NCT00384176 .
Abstract Background: Trastuzumab deruxtecan (T-DXd) has been approved for advanced or metastatic breast, gastric and lung cancers. It has been postulated that irreversible tyrosine kinase inhibitors (TKIs) increase HER2 internalization, thus enhancing T-DXd efficacy. Here we report studies evaluating the combination of TKIs with T-DXd in preclinical models of HER2-low disease. Methods: Surface HER2 was measured with flow cytometry quantifying fluorescently labelled trastuzumab on the surface of HER2-low cell lines HCC38 and HCC1171 treated with afatinib, neratinib, lapatinib or tucatinib for 12 h. HER2 receptor dynamics on cell surface was also measured in NCI-N87 (HER2 IHC 3+) and HCC38 at 24, 48, 72 and 96 h post-treatment with afatinib, and recovery was measured up to 72 h after drug washout. In vivo efficacy was established with T-DXd alone and in combination with afatinib or tucatinib in two gastric patient-derived xenograft (PDX) models, HD-2 (HER2 IHC 1+) and FU (HER2 IHC 2+), and one lung PDX model, MEDI-NSCLC-04 (HER2 IHC 1+). Results: In both HER2-low cell lines, treatment with irreversible inhibitors neratinib or afatinib led to enhanced internalization with a greater than 50% surface HER2 reduction, while treatment with the reversible inhibitors lapatinib or tucatinib led to 13-35% higher surface HER2 levels. Washout experiments indicated that receptor recovery at the plasma membrane begins between 4-12h post-washout of afatinib, with complete recovery at about 72h. Tumor shrinkage was significant in HER2-low gastric PDXs when T-DXd was combined with afatinib, but not with tucatinib. In HD-2, T-DXd 10mg/kg with afatinib 20mg/kg, and T-DXd 3mg/kg with tucatinib 25mg/kg combinations resulted in 74% and -3% (with respect to T-DXd) tumor growth inhibition (TGI), respectively. In FU, T-DXd 3mg/kg with afatinib 20mg/kg, and T-DXd 3mg/kg with tucatinib 25mg/kg combinations resulted in 80.3% and 24.7% TGI, respectively. Similarly, in MEDI-NSCLC-04 PDX model, benefit was observed in 5mg/kg T-DXd combination with 20mg/kg QD afatinib (95.3% TGI with respect to monotherapy T-DXd), but not with tucatinib (0.37% TGI). Intermittent schedules (QW, MWF) were also tested for afatinib in combination with T-DXd, with the MWF showing 49.2% TGI and QW showing 33.0 %TGI. In tissue samples from MEDI-NSCLC-04 efficacy study, γH2AX was detected by IHC in T-DXd and T-DXd+afatinib combination. In western blots, a decrease in HER2 as well as pHER2 was observed in response to T-DXd and 20mg/kg afatinib treatment, but not with tucatinib. Conclusions: In HER2 low gastric and lung preclinical models, T-DXd combined with irreversible pan-HER inhibitor induced superior antitumor effects compared to single agents or the combination of T-DXd with reversible inhibitors. These data support the rationale to test combination of T-DXd and pan-HER irreversible inhibitors in the clinical setting. Citation Format: Deepa Bhavsar, Laura Kazlauskas, Flavia Michelini, Matt Griffin, Matt Wilson, Fabiola Cecchi, Liz Croydon, Kim Maratea, Elisa de Stanchina, Yelena Y. Janjigian, Maurizio Scaltriti, Theresa Proia, Jerome Mettetal. Combination of T-DXd with the irreversible pan-HER TKI afatinib drives combination benefit in HER2-low gastric and lung tumors. [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 3999.
Mass spectrometry-based targeted proteomics allows objective protein quantitation of clinical biomarkers from a single section of formalin-fixed, paraffin-embedded (FFPE) tumor tissue biopsies. We combined high-field asymmetric waveform ion mobility spectrometry (FAIMS) and parallel reaction monitoring (PRM) to increase assay sensitivity. The modular nature of the FAIMS source allowed direct comparison of the performance of FAIMS-PRM to PRM. Limits of quantitation were determined by spiking synthetic peptides into a human spleen matrix. In addition, 20 clinical samples were analyzed using FAIMS-PRM and the quantitation of HER2 was compared with that obtained with the Ventana immunohistochemistry assay. FAIMS-PRM improved the overall signal-to-noise ratio over that from PRM and increased assay sensitivity in FFPE tissue analysis for four (HER2, EGFR, cMET, and KRAS) of five proteins of clinical interest. FAIMS-PRM enabled sensitive quantitation of basal HER2 expression in breast cancer samples classified as HER2 negative by immunohistochemistry. Furthermore, we determined the degree of FAIMS-dependent background reduction and showed that this correlated with an improved lower limit of quantitation with FAIMS. FAIMS-PRM is anticipated to benefit clinical trials in which multiple biomarker questions must be addressed and the availability of tumor biopsy samples is limited.
Mass spectrometry-based targeted proteomics allows objective protein quantitation of clinical biomarkers from a single section of formalin-fixed, paraffin-embedded (FFPE) tumor tissue biopsies. We combined high-field asymmetric waveform ion mobility spectrometry (FAIMS) and parallel reaction monitoring (PRM) to increase assay sensitivity. The modular nature of the FAIMS source allowed direct comparison of the performance of FAIMS-PRM to PRM. Limits of quantitation were determined by spiking synthetic peptides into a human spleen matrix. In addition, 20 clinical samples were analyzed using FAIMS-PRM and the quantitation of HER2 was compared with that obtained with the Ventana immunohistochemistry assay. FAIMS-PRM improved the overall signal-to-noise ratio over that from PRM and increased assay sensitivity in FFPE tissue analysis for four (HER2, EGFR, cMET, and KRAS) of five proteins of clinical interest. FAIMS-PRM enabled sensitive quantitation of basal HER2 expression in breast cancer samples classified as HER2 negative by immunohistochemistry. Furthermore, we determined the degree of FAIMS-dependent background reduction and showed that this correlated with an improved lower limit of quantitation with FAIMS. FAIMS-PRM is anticipated to benefit clinical trials in which multiple biomarker questions must be addressed and the availability of tumor biopsy samples is limited.
The current level of evidence for immunotherapy in previously untreated microsatellite unstable metastatic colorectal cancer is based on recent pieces of evidence of few studies that demonstrated durable response and clinical benefit, in terms of objective response rate, disease control rate, and progression-free survival in this subgroup of patients. On the basis of combinatorial immunotherapy with nivolumab plus ipilimumab, we report the exceptional case of a complete pathological response in a 21-year-old woman presenting a clinically aggressive stage IV colorectal cancer with massive nodal and liver involvement. Extensive molecular analyses based on whole genome next-generation DNA sequencing, RNA sequencing, fluorescent multiplex immunohistochemistry, and flow cytometry provided a detailed description of tumoral and immunological characteristics of this noteworthy clinical case.
Abstract Purpose: MET tyrosine kinase inhibitors (TKIs) can achieve modest clinical outcomes in MET exon 14–altered lung cancers, likely secondary to primary resistance. Mechanisms of primary resistance remain poorly characterized and comprehensive proteomic analyses have not previously been performed. Experimental Design: We performed hybrid capture-based DNA sequencing, targeted RNA sequencing, cell-free DNA sequencing, selected reaction monitoring mass spectrometry (SRM-MS), and immunohistochemistry on patient samples of MET exon 14–altered lung cancers treated with a MET TKI. Associations between overall response rate (ORR), progression-free survival (PFS), and putative genomic alterations and MET protein expression were evaluated. Results: Seventy-five of 168 MET exon 14–altered lung cancers received a MET TKI. Previously undescribed (zygosity, clonality, whole-genome duplication) and known (copy-number focality, tumor mutational burden, mutation region/type) genomic factors were not associated with ORR/PFS (P > 0.05). In contrast, MET expression was associated with MET TKI benefit. Only cases with detectable MET expression by SRM-MS (N = 15) or immunochemistry (N = 22) responded to MET TKI therapy, and cancers with H-score ≥ 200 had a higher PFS than cancers below this cutoff (10.4 vs. 5.5 months, respectively; HR, 3.87; P = 0.02). Conclusions: In MET exon 14–altered cancers treated with a MET TKI, a comprehensive analysis of previously unknown and known genomic factors did not identify a genomic mechanism of primary resistance. Instead, MET expression correlated with benefit, suggesting the potential role of interrogating the proteome in addition to the genome in confirmatory prospective trials.
Background: No predictive markers for chemotherapy activity have been validated in gastric cancer (GC). The potential value of class III β-tubulin (TUBB3) as biomarker for prognosis and resistance to taxane-based therapy was reported. Methods: We analyzed GC samples of patients enrolled in the Intergroup Trial of Adjuvant Chemotherapy in Adenocarcinoma of the Stomach (ITACA-S), a randomized adjuvant study comparing 5-fluorouracil/leucovorin (5-FU/LV) and docetaxel-based sequential chemotherapy. TUBB3 was quantitated by selected reaction monitoring mass spectrometry and patients were stratified using a threshold of 750 attomoles per microgram (amol/µg). Cox proportional modeling and Kaplan-Meier survival analysis were used to assess the impact of TUBB3 expression on overall survival (OS) and disease-free survival. Results: Patients with TUBB3 protein levels >750 and <750 amol/µg were 21.9% and 78.1%, respectively, and were well-balanced between treatment arms. TUBB3 protein levels were not prognostic. Whereas no survival differences according to the 2 arms were observed in the subgroup with low TUBB3 expression (5-year OS 47% vs 40%; p = 0.44), patients with high TUBB3 had a clinically meaningful poorer OS when receiving docetaxel-based versus 5-FU/LV chemotherapy (5-year OS 31% vs 54%; p = 0.09), with a statistically significant interaction between TUBB3 and treatment (p = 0.049). Conclusions: The quantification of TUBB3 might be considered as a negative predictive biomarker of benefit from taxane-based therapy in GC. Studies are needed to evaluate its role in the neoadjuvant setting.