CTCandice Francheska B. Tambaoan

Candice Francheska B. Tambaoan

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Candice Francheska B. Tambaoan has a total of 68 co-authors. Here are the top co-authors by number of shared publications:


Latest Publications

  • Open Access

    Landscape and clinical impact of heterogeneous ALK resistance mutations detected by comprehensive genomic profiling in patients with NSCLC

    by Paul Hofman, Candice Francheska B. Tambaoan, Samantha Morley, Timothy Catlett, Erica Gornstein, Amaya Gasco, Alexa B. Schrock, Russell Madison, Jessica K. Lee, Richard S. P. Huang

  • Serial circulating tumour DNA monitoring in first-line advanced NSCLC (COPE): a randomized, two-arm non-comparative phase II trial

    by Candice Francheska B. Tambaoan, Letuan Phan, Sophie Cousin, Sylvestre Le Moulec, Thomas Grellety, Sophie Schneider, Marielle Sabatini, Laura Leroy, Mathilde Cabart, Yechan Laizet, et al.

    Purpose: COPE evaluated serial circulating tumor DNA (ctDNA) profiling with molecular tumor board (MTB) review during first-line therapy for advanced non–small cell lung cancer (NSCLC). Experimental Design: COPE was a multicenter, randomized (2:1), noncomparative phase II trial. Arm A underwent serial plasma profiling with every report reviewed at a weekly virtual MTB; Arm B received standard management. The primary endpoint was 18-month overall survival (OS) in Arm A versus a prespecified 40% historical benchmark; no between-arm comparison was planned. Results: Among 176 patients, 117 were assigned to Arm A and 59 to Arm B. Eighteen-month OS was 53.8% (95% CI, 44.3–62.5) and 65.7% (95% CI, 52.0–76.3), respectively. Baseline plasma profiling provided contributory information in 32 of 35 patients with noncontributory or unavailable tissue, increasing genotyping success from 69% to 97%. Paired baseline and early on-treatment samples were available in 90 patients (median, 21 days; range, 19–64). ctDNA clearance was associated with higher objective response rate (83% vs. 52%), longer progression-free survival (22.9 vs. 5.4 months; P<0.001), and longer OS (not reached vs. 17.1 months; P=0.004) than persistent detection. Conclusions: Serial ctDNA profiling with weekly MTB review was operationally feasible and complemented tissue genotyping. Clinical benefit was not demonstrated; early ctDNA kinetics require validation in interventional trials.

  • Open Access

    Supplemental Tables S1-S11 from The Pan-Tumor Landscape of Gene Amplifications and Copy Number Amplification Ratio for Established and Emerging Clinical Targets

    by Jessica K. Lee, Julia C.F. Quintanilha, Kuei-Ting Chen, Bernard Fendler, Candice Francheska B. Tambaoan, Ryon Graf, Nicole Odzer, Lajos Pusztai, Maryam Lustberg, Harshabad Singh, et al.

    Supplemental Table 1: Demographics and clinical characteristics of the ERBB2-amplified mBC cohort treated with first-line trastuzumab-based regimens Supplemental Table 2: Demographics and clinical characteristics of the ERBB2-amplified mBC cohort treated with T-DXd Supplemental Table 3: Demographics and clinical characteristics of the ERBB2-amplified aGE cohort treated with first-line trastuzumab-based regimens Supplemental Table 4: Demographics and clinical characteristics of the ERBB2-amplified CRC cohort treated with trastuzumab Supplemental Table 5: ERBB2 NGS and HER2 IHC/FISH concordance for 3,650 mBC patients Supplemental Table 6: Demographics and clinical characteristics of the HER2+ mBC cohort treated with 1L trastuzumab-based regimens Supplemental Table 7: Demographics and clinical characteristics of the HER2+ mBC cohort treated with T-DXd Supplemental Table 8: Demographics and clinical characteristics of the HER2+ mBC cohort treated with T-DM1 Supplemental Table 9: Demographics and clinical characteristics of the HER2-low/ultra-low mBC cohort treated with 2L + T-DXd Supplemental Table 10: ERBB2 NGS and HER2 IHC/FISH concordance for 1,168 aGE patients Supplemental Table 11: Demographics and clinical characteristics of the HER2+ aGE cohort treated with 1L trastuzumab-based regimens.

  • Open Access

    Data from The Pan-Tumor Landscape of Gene Amplifications and Copy Number Amplification Ratio for Established and Emerging Clinical Targets

    by Jessica K. Lee, Julia C.F. Quintanilha, Kuei-Ting Chen, Bernard Fendler, Candice Francheska B. Tambaoan, Ryon Graf, Nicole Odzer, Lajos Pusztai, Maryam Lustberg, Harshabad Singh, et al.

    Purpose:Gene copy number (CN) amplifications and protein overexpression are common drug targets, and detection relies on various methodologies, including next-generation sequencing–based CN, immunohistochemistry (IHC), and in situ hybridization (ISH). We investigated the pan-tumor landscape of amplifications and developed AmpRatio, a novel method of CN quantitation.Experimental Design:Pan-tumor tissue (N = 486,340) and liquid (N = 85,635) samples underwent hybrid capture–based comprehensive genomic profiling. A genome-wide CN model for each sample was generated to estimate the purity, ploidy, and segment-level CN. AmpRatio was calculated by dividing gene CN/sample ploidy. A US-based deidentified clinicogenomic database was utilized to assess the relationship between ERBB2 AmpRatio and HER2 IHC/FISH and outcomes on anti-HER2 therapies.Results:Amplifications with varying degrees of gain were reported in 38.6% of pan-tumor tissue samples, most frequently MYC (5.6%), 11q13 (5.2%), ERBB2 (5.2%), and CCNE1 (3.2%). ERBB2 AmpRatio was associated with HER2 positivity by IHC/FISH in gastroesophageal [overall percent agreement (OPA) 90%] and breast (OPA 95%) cancers. Among patients treated with anti-HER2 therapies, ERBB2 AmpRatio significantly stratified outcomes within the ERBB2-amplified and IHC-defined HER2+ and HER2-low/ultralow populations. High concordance (sensitivity 88%) of amplification detection in liquid biopsy versus tissue was associated with higher AmpRatio and ctDNA tumor fraction ≥20%.Conclusions:CN amplifications are prevalent and diverse biomarkers, and AmpRatio is variable across genes and tumor types. ERBB2 AmpRatio is associated with outcomes to HER2-directed therapies and may have utility alongside IHC for clinical decision-making. With the increasing number of therapies targeting amplifications/overexpression, it will be important to define harmonized methods for CN quantification for optimal patient selection.

  • Open Access

    Supplemental Figures S1-S42 from The Pan-Tumor Landscape of Gene Amplifications and Copy Number Amplification Ratio for Established and Emerging Clinical Targets

    by Jessica K. Lee, Julia C.F. Quintanilha, Kuei-Ting Chen, Bernard Fendler, Candice Francheska B. Tambaoan, Ryon Graf, Nicole Odzer, Lajos Pusztai, Maryam Lustberg, Harshabad Singh, et al.

    Supplemental Figure 1: Modeled CN vs. AmpRatio Supplemental Figure 2: Amplification ratio purity invariance Supplemental Figure 3: Modeled gene CN vs. AmpRatio Supplemental Figure 4: CONSORT diagram Supplemental Figure 5: Pan-tumor MDM2 amplification landscape Supplemental Figure 6: MDM2 co-alteration landscape Supplemental Figure 7: Tissue ploidy distribution by tumor type Supplemental Figure 8: CN segment length vs. AmpRatio Supplemental Figure 9: Amplicon focality Supplemental Figure 10: Pan-tumor AmpRatio distribution of emerging targets Supplemental Figure 11: Breast ERBB2 co-alteration landscape Supplemental Figure 12: GE ERBB2 co-alteration landscape Supplemental Figure 13: CRC ERBB2 co-alteration landscape Supplemental Figure 14: Breast CGDB CONSORT diagram Supplemental Figure 15: GE CGDB CONSORT diagram Supplemental Figure 16: CRC CGDB CONSORT diagram Supplemental Figure 17: rwPFS for ERBB2-amplified mBC, aGE, and mCRC patients treated with trastuzumab-based regimens Supplemental Figure 18: Exploratory AmpRatio cutoffs for ERBB2-amplified mBC, aGE, and mCRC patients treated with trastuzumab-based regimens Supplemental Figure 19: Outcomes for ERBB2-amplified mBC patients treated with T-DXd Supplemental Figure 20: Exploratory AmpRatio cutoffs for ERBB2-amplified mBC patients treated with T-DXd Supplemental Figure 21: Performance of ERBB2 AmpRatio for predicting HER2-positivity Supplemental Figure 22: Association between ERBB2 AmpRatio and HER2 IHC/FISH Supplemental Figure 23: rwPFS on anti-HER2 regimens within HER2 IHC-defined subgroups Supplemental Figure 24: Exploratory AmpRatio cutoffs for anti-HER2 regimens within HER2 IHC-defined subgroups Supplemental Figure 25: Outcomes for HER2+ mBC patients treated with T-DXd Supplemental Figure 26: Exploratory AmpRatio cutoffs for HER2+ mBC patients treated with T-DXd Supplemental Figure 27: Outcomes for HER2+ mBC patients treated with T-DM1 Supplemental Figure 28: Exploratory AmpRatio cutoffs for HER2+ mBC patients treated with T-DM1 Supplemental Figure 29: Sensitivity analysis for outcomes of HER2+ mBC treated with 1L trastuzumab-based regimens Supplemental Figure 30: Sensitivity analysis for outcomes of HER2+ mBC treated with T-DXd Supplemental Figure 31: Sensitivity analysis for outcomes of HER2+ mBC treated with T-DM1 Supplemental Figure 32: Outcomes for HER2+ aGE patients treated with 1L trastuzumab-based regimens Supplemental Figure 33: Sensitivity analysis for outcomes of HER2+ aGE treated with 1L trastuzumab-based regimens Supplemental Figure 34: NSCLC MET co-alteration landscape Supplemental Figure 35: NSCLC EGFR co-alteration landscape Supplemental Figure 36: Ovarian CCNE1 amplification landscape Supplemental Figure 37: Serous Ovarian CCNE1 co-alteration landscape Supplemental Figure 38: ctDNA TF distribution by alteration type Supplemental Figure 39: ctDNA TF distribution by tumor type Supplemental Figure 40: All-gene liquid amplification concordance Supplemental Figure 41: Tissue and Liquid AmpRatio Correlation Supplemental Figure 42: Distribution of ctDNA TF and AmpRatio for discordant vs. concordant liquid samples.

  • Neoadjuvant Sacituzumab Govitecan in Patients With Muscle-Invasive Bladder Cancer: Primary Results of the SURE-01 Trial

    by Andrea Necchi, Joep J. de Jong, Brigida A. Maiorano, James A. Proudfoot, Giuseppe Basile, Antonio Cigliola, Chiara Mercinelli, Valentina Tateo, Michela Piacentini, Emanuele Crupi, et al.

    PURPOSE: To evaluate neoadjuvant sacituzumab govitecan (SG), followed by radical cystectomy (RC), in patients with muscle-invasive bladder cancer (MIBC) who are ineligible for/refuse neoadjuvant chemotherapy (NAC). We report the results of the primary analysis and biomarker analyses of the phase II SURE-01 trial (ClinicalTrials.gov identifier: NCT05226117 ). PATIENTS AND METHODS: Patients were age 18 years and older, had Eastern Cooperative Oncology Group performance status 0-1, had histologically confirmed cT2-T4aN0M0 MIBC, were ineligible/refusing NAC, and were scheduled for RC received four cycles of SG 10 mg/kg on day 1 and day 8, once every 3 weeks, followed by RC. The primary outcome measure was the pathologic complete response (pT0N0) rate. Transcriptome-wide analyses and comprehensive genomic profiling assays were performed on baseline tumor samples. RESULTS: From March 2022 to July 2025, 44 patients were treated and efficacy evaluable. After the initial eight patients enrolled, the protocol was amended with a SG dose of 7.5 mg/kg, with primary prophylaxis for neutropenia, due to the occurrence of two deaths (one treatment-related). Subsequent grade 3-4 treatment-related adverse-events occurred in 5 patients (13.9%). Twenty-six patients (59.1%) had a cT3-4 stage and 20 (45.5%) had a variant histology. Fourteen patients (31.8%) refused to undergo RC, accounting for 12 repeating a transurethral resection of the bladder tumor and two undergoing active surveillance. The median follow-up was 22 months (IQR, 15-26). In the intention-to-treat population, although the protocol-defined ypT0N0 rate was 9.1% (95% CI, 2.5 to 21.7), the overall ypT0N0-x rate was 29.5% (95% CI, 16.7 to 45.2), with an enrichment of ypT0 responses in nonluminal subtypes (46% v 14% of luminal). The 24-month event-free survival (EFS) rate was 71.4% (95% CI, 58 to 87.8), with longer EFS for participants with lower TOP1-expressing tumors. CONCLUSION: Neoadjuvant SG, at the reduced dose of 7.5 mg/kg, was active with a manageable safety profile, corroborating TROP2 as a suitable target for MIBC.


  • Open Access

    The Pan-Tumor Landscape of Gene Amplifications and Copy Number Amplification Ratio for Established and Emerging Clinical Targets

    by Jessica K. Lee, Julia C. F. Quintanilha, Kuei-Ting Chen, Bernard Fendler, Candice Francheska B. Tambaoan, Ryon Graf, Nicole Odzer, Lajos Pusztai, Maryam Lustberg, Harshabad Singh, et al.

    Purpose: Gene copy number (CN) amplifications and protein overexpression are common drug targets, and detection relies on various methodologies, including next-generation sequencing–based CN, immunohistochemistry (IHC), and in situ hybridization (ISH). We investigated the pan-tumor landscape of amplifications and developed AmpRatio, a novel method of CN quantitation. Experimental Design: Pan-tumor tissue (N = 486,340) and liquid (N = 85,635) samples underwent hybrid capture–based comprehensive genomic profiling. A genome-wide CN model for each sample was generated to estimate the purity, ploidy, and segment-level CN. AmpRatio was calculated by dividing gene CN/sample ploidy. A US-based deidentified clinicogenomic database was utilized to assess the relationship between ERBB2 AmpRatio and HER2 IHC/FISH and outcomes on anti-HER2 therapies. Results: Amplifications with varying degrees of gain were reported in 38.6% of pan-tumor tissue samples, most frequently MYC (5.6%), 11q13 (5.2%), ERBB2 (5.2%), and CCNE1 (3.2%). ERBB2 AmpRatio was associated with HER2 positivity by IHC/FISH in gastroesophageal [overall percent agreement (OPA) 90%] and breast (OPA 95%) cancers. Among patients treated with anti-HER2 therapies, ERBB2 AmpRatio significantly stratified outcomes within the ERBB2-amplified and IHC-defined HER2+ and HER2-low/ultralow populations. High concordance (sensitivity 88%) of amplification detection in liquid biopsy versus tissue was associated with higher AmpRatio and ctDNA tumor fraction ≥20%. Conclusions: CN amplifications are prevalent and diverse biomarkers, and AmpRatio is variable across genes and tumor types. ERBB2 AmpRatio is associated with outcomes to HER2-directed therapies and may have utility alongside IHC for clinical decision-making. With the increasing number of therapies targeting amplifications/overexpression, it will be important to define harmonized methods for CN quantification for optimal patient selection.