Predictive Biomarkers Of Response Research Articles

Alterations in Peripheral Lymphocyte Subsets under Immunochemotherapy in Stage IV SCLC Patients: Th17 Cells as Potential Early Predictive Biomarker for Response.

UICC stage IV small-cell lung cancer (SCLC) is a highly aggressive malignancy without curative treatment options. Several randomized trials have demonstrated improved survival rates through the addition of checkpoint inhibitors to first-line platin-based chemotherapy. Consequently, a combination of chemo- and immunotherapy has become standard palliative treatment. However, no reliable predictive biomarkers for treatment response exist. Neither PD-L1 expression nor tumor mutational burden have proven to be effective predictive biomarkers. In this study, we compared the cellular immune statuses of SCLC patients to a healthy control cohort and investigated changes in peripheral blood B, T, and NK lymphocytes, as well as several of their respective subsets, during treatment with immunochemotherapy (ICT) using flow cytometry. Our findings revealed a significant decrease in B cells, while T cells showed a trend to increase throughout ICT. Notably, high levels of exhausted CD4+ and CD8+ cells, alongside NK subsets, increased significantly during treatment. Furthermore, we correlated decreases/increases in subsets after two cycles of ICT with survival. Specifically, a decrease in Th17 cells indicated a better overall survival. Based on these findings, we suggest conducting further investigation into Th17 cells as a potential early predictive biomarkers for response in patients receiving palliative ICT for stage IV SCLC.

Ratio of plasma IL-13/TNF- ∝ and CXCL10/CCL17 predicts mepolizumab and omalizumab response in asthma better than eosinophil count or immunoglobulin E level

To date, most studies to identify biomarkers associated with response to the anti-interleukin 5 agent, mepolizumab, and to the anti-immunoglobulin E agent, omalizumab have focused on clinically available biomarkers, such as the peripheral blood eosinophil counts (BEC) and total immunoglobulin E (IgE). However, these biomarkers often have low predictive accuracy, with many patients with eosinophilic or allergic asthma failing to demonstrate clinical response to mepolizumab or omalizumab respectively. In this study, we evaluated the association of baseline pre-biologic plasma levels of 26 cytokines and chemokines, including T-helper 1 (Th1)-, Th2-, Th17-related cytokines, and their ratios with subsequent clinical response to mepolizumab or omalizumab. We defined clinical response as a reduction in the baseline annual exacerbation rate by half or more over the one-year period following initiation of the biologic. Baseline levels of plasma IL-13 were differentially elevated in responders versus non-responders to mepolizumab and plasma CXCL10 levels were differentially elevated in responders to omalizumab. The ratio of IL-13/TNF-α had the best sensitivity and specificity in predicting response to mepolizumab and CXCL10/CCL17 to omalizumab, and these performed better as predictive biomarkers of response than BEC and IgE. Cytokines and chemokines associated with airway eosinophilia, allergic inflammation, or Th2 inflammation, such as IL-13 and CXCL10, may be better predictors of clinical response to mepolizumab and omalizumab, than IL-5 or IgE, the targets of mepolizumab and omalizumab.

MIF and CD74 as Emerging Biomarkers for Immune Checkpoint Blockade Therapy.

Immune checkpoint blockade (ICB) therapy is used to treat a wide range of cancers; however, some patients are at risk of developing treatment resistance and/or immune-related adverse events (irAEs). Thus, there is a great need for the identification of reliable predictive biomarkers for response and toxicity. The cytokine MIF (macrophage migration inhibitory factor) and its cognate receptor CD74 are intimately connected with cancer progression and have previously been proposed as prognostic biomarkers for patient outcome in various cancers, including solid tumors such as malignant melanoma. Here, we assess their potential as predictive biomarkers for response to ICB therapy and irAE development. We provide a brief overview of their function and roles in the context of cancer and autoimmune disease. We also review the evidence showing that MIF and CD74 may be of use as predictive biomarkers of patient response to ICB therapy and irAE development. We also highlight that careful consideration is required when assessing the potential of serum MIF levels as a biomarker due to its reported circadian expression in human plasma. Finally, we suggest future directions for the establishment of MIF and CD74 as predictive biomarkers for ICB therapy and irAE development to guide further research in this field.

Abstract PS09-01: Individual patient data meta-analysis of clinical and translational biomarkers for prediction of pathological complete response (pCR) after de-escalated therapy in HER2+ breast cancer in four trials of the West German Study Group

Abstract Background Introduction of anti-HER2 therapies substantially improved outcomes for HER2-positive early breast cancer (HER2+ eBC). However, a considerable proportion of patients (pts) may still be overtreated with systemic chemotherapy (CTx) combinations. Establishing safe de-escalation strategies to avoid toxicities requires precise patient selection. Therefore, we set out to determine predictors for efficacy and survival in the unique setting of four de-escalation trials investigating short (12-week) neoadjuvant treatments (NAT) in HER2+ eBC. We investigated the prognostic ability of clinical and translational biomarkers for pCR to identify pts with the best prognosis after de-escalated systemic CTx-free NAT. Methods 756 pts who received de-escalated NAT were analyzed: trastuzumab + pertuzumab (T + P, n=92) and T + P + paclitaxel (pac, n=42) in ADAPT-HR-/HER2+ (NCT01817452); trastuzumab emtansine (T-DM1, n=118), T-DM1 + endocrine therapy (ET, n=125), and T + ET (n=129) in ADAPT-HR+/HER2+ (NCT01779206), T + P + pac (n=107) and T + P + ET (n=100) in TP-II (NCT03272477); and T + P + pembrolizumab (n=43) in Keyriched-1 (NCT03988036) in HER2-enriched (HER2-E) subtype by PAM50. The primary endpoint of each trial was pCR (ypT0/is ypN0). Survival was a secondary endpoint in all trials but Keyriched-1; survival data for TP-II are pending. Baseline gene expression was analyzed by BC360 assay; intrinsic molecular subtypes were determined using the PAM50 predictor. Stromal tumor infiltrating lymphocytes (sTILs) were evaluated at baseline and at week 3 of NAT. sTILs were categorized using a 30% threshold and the low cellularity category ( < 500 invasive tumor cells) at week 3. Prognostic markers for pCR were identified with univariate and multivariable logistic regression models with backstep algorithm excluding variables with p≥0.1; considered variables included age, sTILs (baseline, 3-weeks), cT, cN, grade, hormone receptor and HER2 status, intrinsic subtype, and standardized ERBB2 and ESR1 gene expression. These analyses were performed separately for NAT involving systemic CTx (i.e. containing pac, n=149) and systemic CTx-free NAT (n=607). Results Overall pCR rate was 39.1% (CTx: 66.4%; CTx-free: 32.5%). Multivariable analysis identified predictors of pCR after CTx-free NAT: low cellularity at week 3 (vs < 30% sTILs: OR 3.21, 95%CI 1.85-5.57), ERBB2 (OR 1.90, 95%CI 1.41-2.55), HER2 3+ (vs 1+/2+ and ISH+: OR 8.01, 95%CI 1.65-38.99), LumA/LumB/Basal subtype (vs HER2-E: OR 0.57, 95%CI 0.34-0.97), cT2 (vs 1: OR 0.54, 95%CI 0.33-0.89), and cN1-3 (vs 0, OR 0.46, 95%CI 0.27-0.78). In CTx-containing NAT, only ERBB2 (OR 2.08, 95%CI 1.28-3.40) and additionally ESR1 (OR 0.38, 95%CI 0.23-0.61) were prognostic for pCR. Updated analysis including expanded gene expression data from ADAPT-HR+/HER2+ and a prognostic score for pCR after CTx-free NAT developed using machine learning methods will be presented at the meeting. Conclusions This pooled analysis demonstrated a 66% pCR rate after a short (12-week) de-escalated NAT in HER2+ eBC. In one-third of patients (with mainly stage I cancer, higher HER2 expression by immunohistochemistry and gene expression analysis, and low cellularity at 3 weeks), pCR can be achieved without systemic CTx. Identified biomarkers could pave the way for developing new patient selection strategies to spare CTx-associated acute and late toxicities in a clinically meaningful number of patients. Citation Format: Monika Graeser, Oleg Gluz, Christine zu Eulenburg, Sherko Küemmel, Raquel von Schumann, Matthias Christgen, Rachel Wuerstlein, Enrico Pelz, Hans-Heinrich Kreipe, Peter Schmid, Marc Thill, Michael Braun, Jochem Potenberg, Claudia Schumacher, Joke Tio, Andreas Hartkopf, Marianne Just, Christian Schem, Kerstin Lüdtke-Heckenkamp, Eva-Maria Grischke, Felix Hilpert, Angela Kentsch, Ronald Kates, Ulrike Nitz, Nadia Harbeck. Individual patient data meta-analysis of clinical and translational biomarkers for prediction of pathological complete response (pCR) after de-escalated therapy in HER2+ breast cancer in four trials of the West German Study Group [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PS09-01.

Abstract PO2-01-10: 21-Gene Recurrence Score Index (ONCOTYPE DX) as a predictive biomarker for neoadjuvant chemotherapy response and outcome in patients with HR+HER2- breast cancer

Abstract Background: Hormone receptor positive (HR+), HER2- early stage breast cancer (EBC) has shown lower response to neoadjuvant chemotherapy (NCT) compared with other clinicopathologic subtypes. ONCOTYPE DX may help inform systemic treatment decisions for EBC and predicting likelihood of pathological complete response (pCR) or chemosensitivity. We analyze the pathologic response according ONCOTYPE RS and their prognostic value. Methods: We included a serie of 139 consecutive patients with high clinical risk factor with criteria to received NCT than have performed an ONCOTYPE DX test previous to start NCT. The median age was 51 years with 65 patients (47%) less than 50 years. Median initial tumoral size was 25 mm (9-97), T1: 35%, T2: 51% and T3: 14%. 70 patients (50%) have initial axillary node involvement. Median ONCOTYPE DX score was 29 (12 – 76) , RS < 25 in 36% and RS < 30 in 54%. Complete pathologic response (pCR) was found in 35 patients (25%), and by RCB was: RCB:0 23%, RCB-1 18%, RCB-2 24% and RCB-3 34%. Results: pCR score was correlated with ONCOTYPE DX (pearson : p:0,001) , patients with ONCOTYPE RS score superior to 30 has a total of 37% of pCR in contrast to a 14% in patients with ONCOTYPE RS score less than 30. Median follow-up was 32 months (5 -100). The rate of recurrence was similar independently the ONCOTYPE RS score (12% < 30 ; 15% >30) , but patients with ONCOTYPE RS < 30 with achieve pCR had better prognostic compared to patients that not achieve pCR (0% vs 14%). Patients with ONCOTYPE RS > 30 tumors that had a pCR the recurrence rate was 8% compared to 20% in patients with non pCR. Conclusions: These data suggest ONCOTYPE DX predicts pCR in HR+HER2- BC patients, especially in patients with a RS superior to 30 with an high rate of pCR of 37%. Patients with ONCOTYPE DX less than 30 that achieved pCR had the better outcomes and patients with ONCOTYPE DX superior to 30 that not achieved pCR had the worst outcomes with a total of 20% of recurrence. ONCOTYPE DX predicts the possibility of achieve a pCR and patients with a high ONCOTYPE DX RS score with residual disease have a high recurrence despite receiving treatment with chemotherapy, which requires a better adjuvant treatment, possibly with CDK 4/6 cyclin inhibitors. Citation Format: Ariadna Gasol Cudós, Serafin Morales Murillo, Noemí Tuset Der-Abrain, Felip Vilardell Villellas, Laura Arbones Cid, Jordi Melé Olivé, Carles Canosa Morales. 21-Gene Recurrence Score Index (ONCOTYPE DX) as a predictive biomarker for neoadjuvant chemotherapy response and outcome in patients with HR+HER2- breast cancer [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PO2-01-10.

Abstract PO1-18-10: ANNE: A phase II single-arm clinical trial to assess the feasibility and efficacy of neoadjuvant anastrozole in patients with luminal breast cancer and low proliferative index in TNM stages II and III

Abstract Background: Neoadjuvant endocrine therapy (NET) is recommended for the treatment of invasive breast cancer (BC), particularly luminal subtypes, in locally advanced stages. Previous randomized studies have demonstrated the benefits of aromatase inhibitors (AIs) in this context. However, in clinical practice, NET is typically reserved for elderly or frail patients who may not tolerate neoadjuvant chemotherapy. Ideally, after identifying suitable candidates for NET, patients undergo tumor re-biopsy after 2 to 4 weeks of treatment, and only those with Ki67 ≤ 10% proceed with NET. Limitations of this strategy include the standardization of re-biopsy and the reliability of Ki67 immunohistochemical analysis, as treatment decisions are based on these results. Objective: To evaluate the feasibility and efficacy of NET in postmenopausal patients with stage II and III luminal BC and to identify predictive biomarkers of therapeutic response. The efficacy will be measured by the rate of patients with Ki67 ≤ 10% after 4 weeks and Preoperative Endocrine Prognostic Index (PEPI) score 0 on the surgical specimen. The feasibility of the study will be assessed by the acceptance rate of participating in the study (recruitment rate ≥ 50%) and the inclusion rate of >2 patients per month. Methods: This non-randomized phase II clinical trial includes postmenopausal women with invasive breast carcinoma, Scarf-Bloom-Richardson histological grades 1 or 2, Estrogen Receptor positive (Allred ≥ 6), progesterone receptor positive (any value), HER2 negative, Ki-67 antigen < 50% on immunohistochemistry, stages TNM II-III, with palpable tumor ≥ 2 cm, and ECOG 0-2. All eligible patients will receive anastrozole (1 mg/day) continuously until the day before the surgical procedure or exclusion from the study (in case of disease progression during endocrine therapy). After 2 to 4 weeks, a re-biopsy of the breast tumor will be performed. If Ki67 > 10%, endocrine therapy will be suspended, and the patient will be excluded from the study and redirected to neoadjuvant chemotherapy (routine care) or immediate surgery (as per attending clinical oncologist and surgeon). If Ki67 ≤ 10%, the patient will continue to receive NET. Extended NET will be administered for up to 10 months, with monthly physical examinations (using calipers) and bimonthly breast ultrasound. The presence of stable disease on ultrasound at 4, 6, and 8 months indicates scheduling surgery within 2 months thereafter, and disease progression at any time indicates surgery within one month. Patients will complete the EORTC QLQ-C30 and its supplemental module BR45 questionnaires every 2 months. Toxicity will be assessed using CTCAE version 4.0, and patients will respond to 11 specific items extracted from the Brazilian version of PRO-CTCAE. The radiological response will be evaluated by RECIST 1.1. Blood samples for molecular analyses will be collected at baseline and during re-biopsy. MicroRNA profiles will be evaluated using Nanostring, and extracellular vesicles will be examined using ATR-FTIR to identify predictive markers of therapeutic response (Ki67 < 10%) in re-biopsy. All cases will be evaluated using PAM50 at the initial biopsy and at surgery to determine the molecular phenotype (luminal A, B, or other) and molecular response (ROR score difference). Pathologic therapeutic response will be assessed using the PEPI score in all operated cases. The sample size was calculated to be 59 patients. The study was initiated in July 2022, and since then, a total of 26 patients have been enrolled. This study is registered with The Brazilian Registry of Clinical Trials (ReBEC): RBR-5pygzhj. Citation Format: Carlos Paiva, Izabella Oliveira, Vitor Guimarães, Alinne Faria, Domício Lacerda, Anapaula Uema, Nilton Onari, Bianca Paiva, Augusto Antoniazzi, Karina Oikawa, Maria Fernanda Machado, Matheus Godinho, Cristiano Souza, Chrissie Amirati, Gustavo Teixeira, Idam de Oliveira Jr, Márcia Marques, Yara Maia. ANNE: A phase II single-arm clinical trial to assess the feasibility and efficacy of neoadjuvant anastrozole in patients with luminal breast cancer and low proliferative index in TNM stages II and III [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PO1-18-10.

Abstract PO4-03-09: Profile of circulating natural killer cells in stage III triple negative breast cancer before and after neoadjuvant chemotherapy

Abstract Background: Triple negative breast cancer (TNBC) is the most aggressive subtype of breast cancer. The treatment for locally advanced disease is based on neoadjuvant chemotherapy and immunotherapy, with complete pathological response (pCR) serving as a predictor of disease-free survival. Although the presence of immune cell infiltration in the tumor has a favorable prognostic impact, there is a lack of predictive biomarkers for complete pathological response to neoadjuvant chemotherapy (NAC). Objective: to analyze the profile of circulating Natural Killer (NK) cells and NK subpopulations (NK FAS+ and NK PD1+) in association with the occurrence of complete pathological response after neoadjuvant chemotherapy in women with clinical stage III TNBC. Methods: This was a longitudinal prospective and translational cohort study, including women aged 18 to 60 years with stage III TNBC diagnosed between March 2015 and July 2017, with a follow-up of 24 months. A comparison control group consisted of 30 healthy women aged 18 to 60 years without prior or current cancer diagnosis and no family history of breast cancer. Peripheral blood samples were collected before NAC and before surgery. Flow cytometry was used to analyze the percentage levels of NK cells and NK subpopulations (NK FAS+ and NK PD1+). The Shapiro-Wilk test was initially applied to assess the normality of quantitative variables. The non-parametric Mann-Whitney test was used for comparison between two groups. The statistical significance level was set at p< 0.05. Overall survival (OS) was estimated using the Kaplan-Meier method. Statistical analysis was performed using GraphPad Prism v9.5.1. Results: The median age was 45 years. Stage IIIA was identified in 28% of the patients, while IIIB was observed in 72%. Regarding pathological response, 14 patients (48%) achieved pCR, while 15 patients (52%) had a non-complete pathological response (non-pCR). The 2-year OS was 86%, with no median reached. Higher percentage levels of NK cells, NK FAS+, and NK PD1+ were observed in the patient group compared to the control group, with significant differences. There was a significant increase in the percentage levels of NK cells after NAC compared to pre-NAC levels, and a reduction in NK PD1+ levels. NK cell levels were significantly higher in patients with stage IIIA compared to stage IIIB, while NK FAS+ levels were lower. NK cell and NK FAS+ subpopulation levels were significantly higher in patients who achieved pCR compared to non-pCR patients, with no difference in NK PD1+ cell levels. Conclusions: Elevated levels of circulating NK cells and NK FAS+ subpopulation collected from peripheral blood before NAC may serve as potential biomarkers for pCR in patients with TNBC. Citation Format: Luiz Jose de Barros Batista, Jurema Telles, Candice Santos, Ariani Souza, Marcelo Salgado, Leuridan Torres. Profile of circulating natural killer cells in stage III triple negative breast cancer before and after neoadjuvant chemotherapy [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PO4-03-09.

Abstract PO2-07-07: The role of PET imaging with [18F]16α-fluoro-17β-fluoroestradiol in predicting response to endocrine therapies in patients with breast cancer

Abstract Background Fluoroestradiol F18 is a radioactive diagnostic agent (18F-FES) used with positron emission tomography (PET) imaging to detect estrogen-receptor (ER)-positive lesions in patients with breast cancer. Convened by the Society of Nuclear Medicine and Molecular Imaging (SNMMI), an expert working group published appropriate use criteria (AUC) for 18F-FES PET including, but not limited to, use of 18F-FES for selection of endocrine therapies. Quantitative determination of ER status, and thus treatment response, has the potential to prevent ineffective courses of endocrine therapies and associated therapeutic/financial burden. This meta-analysis reviewed the AUC-cited studies to assess the utility of 18F-FES in predicting treatment response to endocrine therapies. Methods Eight studies cited in the AUC were selected based on having comparable 18F-FES PET standardized uptake values (SUV) and progression-free survival (PFS) measures, and one additional study was included upon further systematic search of the same selected parameters defined in the AUC. With the nine studies (n = 327), we conducted three investigations to explore the association between: (1) the patient baseline 18F-FES PET SUVmean, across all lesions or across up to seven of the most intense lesions, and patient response to endocrine therapy (response/no response); (2) in the same population as investigation 1, the change (%) in 18F-FES PET SUV from baseline to at 7 to 10 days post-treatment; (3) the 18F-FES interlesional heterogeneity and PFS (months). Interlesional heterogeneity was qualitatively defined as patients displaying both 18F-FES positive and negative lesions versus those with all FES-positive lesions. Results A fixed effects model was used to analyze three studies (n = 102). Findings reveal that patients who responded to endocrine therapy had a significantly higher baseline SUVmean versus non-responders (mean difference 0.91; CI 95% 0.49 to 1.34; P < 0.001); a sensitivity analysis was conducted via random effects modelling and revealed similar results (mean difference 0.92; CI 95% 0.48 to 1.36; P < 0.001). This was consistent with findings from an additional analysis performed on two papers (n = 62), whereby odds ratio estimates indicated that a response to therapy is 89% less likely to occur when baseline 18F-FES SUVmax is < 1.5 (OR 0.11; CI 95% 0.02 to 0.72 P = 0.02). Findings from the analysis of mean percentage change in 18F-FES SUV from baseline to 7-10 days post-treatment initiation showed no significant difference in the percentage change of SUV observed between responders and non-responders (mean difference -0.22; 95% CI -0.69 to 0.26; P = 0.37). The final heterogeneity analysis revealed higher median PFS in all FES-positive cohort, suggesting that this group may respond better to endocrine therapy (Table 1). Conclusion The AUC states that the presence of ER by immunohistochemistry may not be the optimal predictive biomarker for the success of endocrine therapies. Our findings support this statement, as a significantly higher baseline SUVmean of 18F-FES may serve as a predictive biomarker for endocrine therapy response. Patients with a 18F-FES lesion SUVmax < 1.5 are 89% less likely to respond to endocrine therapies; patients demonstrating heterogeneity (FES+/FES- lesions) have a lower median PFS, reinforcing the predictive value of 18F-FES. Table 1. Median PFS scores from FES heterogeneity analysis *Patients with all FES positive lesions were categorised by the median ratio of FES/FDG SUVmax into low FES/FDG ( <0.96), and high FES/FDG (>0.96); only patients with FES/FDG of >0.96 were included in the positive lesions arm. Citation Format: Nicholas DiGregorio, Christine Brand, Dustin Dunham, Eleanor McManus. The role of PET imaging with [18F]16α-fluoro-17β-fluoroestradiol in predicting response to endocrine therapies in patients with breast cancer [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PO2-07-07.

Abstract PO3-25-06: Expression of CD28, Fas, PD1, and CTLA4 molecules on cellular immune response in the blood peripheral of patients with locally advanced triple-negative breast cancer

Abstract Background: Locally advanced triple-negative breast cancer (TNBC) represents a public health problem in Brazil; its standard treatment consists of neoadjuvant chemotherapy followed by surgical and radiotherapy, with highly variable success rates are depended on access to appropriate cancer treatment, and the type of pathological response. In the last decade, the immune system's role in breast cancer has gained space by demonstrating the favorable impact of lymphocyte tumor infiltrate (TILs) and gene expression of the immune response, especially in tumors with high proliferation rates and negative estrogen receptors. The cellular immune response is regulated by co-stimulatory and co-inhibitory proteins such as CD28, Fas, PD1, and CTLA4 molecules. Methods: This was a longitudinal study with follow-up performed between 2015 and 2017. The study was conducted at the Hospital de Cancer de Pernambuco and Translational Research Laboratory of the Instituto de Medicina Integral Prof. Fernando Figueira (IMIP). Thirty women (18 to 60 years) diagnosed with locally advanced TNBC submitted to neoadjuvant chemotherapy (NAC), and 30 healthy women as a control group were included. The co-stimulatory and co-inhibitory proteins analyses were performed in the peripheral blood of TNBC women before (Pre-NAC) and after NAC (Post-NAC) Results: High levels of CD28+CD3+ T, CD28+CD4+ T, PD1+CD3+ T, and CTLA4+CD3+ T cells in the pathological complete response (pCR) and non-pCR groups compared to the control group (p < 0.05). High levels of Fas+CD4+T cells and PD1+CD8+T cells in the non-pCR compared to the pCR group (p < 0.05). In the paired analysis, significant differences were observed in CD3+T and CD4+T levels with CD28, Fas, and PD1 expression between pre- and post-NAC. Conclusion: Fas+CD4+T and PD1+CD8+T levels in peripheral blood in TNBC are associated with pCR, suggesting potential predictive biomarkers of NAC response. Preliminary results allow us to infer that neoadjuvant chemotherapy modulates the cellular immune response in TNBC women. Citation Format: Marcelo Salgado, Fernando Soares, Denise Viana, Amanda Salgado, Carolina Vasconcelos, Carlos Eduardo Anunciação, Eduardo Salgado, Leuridan Torres. Expression of CD28, Fas, PD1, and CTLA4 molecules on cellular immune response in the blood peripheral of patients with locally advanced triple-negative breast cancer [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PO3-25-06.

Abstract PO1-01-13: Clinical characterization, prognostic and predictive values of HER2-low in early breast cancer in the PALLAS trial

Abstract Background: Low levels of HER2 expression (HER2-low) have recently emerged as a therapeutic target in patients (pts) with breast cancer (BC). The aim of this study was to evaluate clinical and demographic variables associated with HER2 expression, as well as the value of HER2-low as a prognostic and predictive biomarker for palbociclib benefit in pts enrolled in the PALLAS trial. Methods: The phase III PALLAS trial investigated the addition of palbociclib to adjuvant endocrine therapy (ET) in pts with stage II-III hormone receptor-positive BC. The aims of this analysis are (1) to assess the association between the presence of low levels of HER2 expression with demographic and clinicopathological parameters, (2) to test the prognostic value of HER2-low status on invasive disease-free survival (IDFS), distant relapse-free survival (DRFS), and overall survival (OS) and (3) to assess the value of HER2 expression as a predictive biomarker of response to palbociclib. HER2-low was defined as HER2 immunohistochemistry (IHC) 1+ or IHC 2+ with negative in situ hybridization; all pathologic evaluation was performed locally. Pts with HER2-0 and Her2-low BC were included in this analysis; those with HER2-positive BC or missing HER2 status were excluded. Association of HER2 with other baseline covariates were tested with Chi-squared tests. Prognostic and predictive power of HER2 were assessed with Cox Models. Multivariable models included age, T-stage, N-stage, grade and progesterone receptor (PR) expression. Hazard ratios (HR) and 95% Confidence intervals (CI) are reported. Results: From the original PALLAS intention-to-treat population (N = 5,753), 5304 pts (92.2%) were included in this analysis. Among these, 2,254 pts (42.5%) were classified as HER2 IHC 0 (HER2-0) and 3,050 (57.5%) as HER2-low (1,838 with IHC 1+ and 1,212 with IHC 2+). For this analysis, median follow-up was 59.8 months. Compared to HER2-0, pts with HER2-low tumors had statistically higher estrogen receptor expression levels (mean expression 89.2% vs 88.2%, p = 0.019), lower PR expression levels (65.9% vs 68.2%, p = 0.007). Importantly, HER2-low status varied significantly across 21 participating countries (range 16.7% to 75.6%; p< 0.001) and was more frequent in pts enrolled in North America (63.1%) than in Europe (53.4%) and other regions (53.4%) (p < 0.001). No differences in HER2 expression were observed according to anatomic stage, T-stage, N-stage, histological grade, age, menopausal status, primary surgery type, prior radiation, prior chemotherapy, or baseline performance status. There were no statistically significant differences in IDFS, DRFS or OS according to HER2 status in univariate or multivariable Cox models (prognostic value, HR provided in the Table). There was no significant interaction between the HER2 status and the benefit to palbociclib in IDFS, DRFS or OS (Table). Similar results were obtained when HER2-0 was compared to HER2 1+ and HER2 2+ separately. Conclusions: In this large, prospective and international cohort, no differences were observed in clinical parameters, prognosis, or differential benefit from palbociclib (predictive value) between HER2-0 and HER2-low tumors. Significant geographic variability was observed in the prevalence of HER2-low status, suggesting a high degree of variation in pathologic assessment of HER2 expression without impact on outcomes. Support: AFT, Abbvie Pfizer; Clinicaltrials.gov: NCT02513394 https://acknowledgments.alliancefound.org Citation Format: Guilherme Nader-Marta, Christian F. Singer, Dominik Hlauschek, Angela DeMichele, Paolo Tarantino, Georg Pfeiler, Miguel Martín, Justin Balko, Zbigniew Nowecki, Marija Balic, Adam Brufsky, Arlene Chan, Patrick G. Morris, Tufia Haddad, Sibylle Loibl, Yuan Liu, Lidija Sölkner, Christian Fesl, Erica Mayer, Michael Gnant. Clinical characterization, prognostic and predictive values of HER2-low in early breast cancer in the PALLAS trial [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PO1-01-13.

Abstract PO3-14-12: SIRT3 as a new potential predictive biomarker for response to CDK4/6 inhibition in ER+/HER2- metastatic breast cancer patients

Abstract Background: Several prospective, randomized clinical trials showed that the CDK4/6 inhibitor palbociclib in combination with either letrozole or fulvestrant significantly improves progression-free survival (PFS) in patients with ER+/HER2- metastatic breast cancer (MBC). However, in some cases, there is development of endocrine resistance and ultimate disease progression. Molecular analysis performed in tissue specimens collected in the PALOMA-3 study, comparing fulvestrant and Palbociclib versus fulvestrant placebo, demonstrated that one of the genes associated with an increased clinical benefit is SIRT3 (Sirtuin 3) which is thought to control mitochondrial integrity and metabolism (Cristofanilli M. et al., Lancet Oncol. 2016). This study aimed to evaluate in preclinical models the predictive role of SIRT3 in ER+/HER2- breast tumors. Methods: Using lentiviruses we generated MCF-7 and T47D cells stably expressing either control shRNA (sh ctr) or shRNA targeting SIRT3 (shSIRT3). With these models, we studied cell viability, tumor growth, apoptosis, and autophagy in MCF-7 cells treated with fulvestrant and palbociclib as a single treatment or in combination, these either alone or in combination with shSIRT3 (knockdown). Nude mice were used for our in vivo studies, and sh ctr or shSIRT3 MCF7 cells were injected. Results: We showed in vitro that the response to palbociclib was significantly associated with levels of SIRT3 expressionas high or low in ER+ cells (p< 0.0001). Furthermore, we found that irreversible cell growth inhibition mediates the beneficial effect of palbociclib in SIRT3 high expressing cellscompared to low expression (p< 0.001).Then, we evaluated the mechanistic activity of SIRT3. We showed thatSIRT3-low expression cells induced enhanced sensitivity to palbociclib by targeting the reactive oxygen species (ROS)/autophagy axis:(i) SIRT3 regulated the mitochondrial homeostasis (e.g. glucose, lactate, pyruvate, succinates), (ii) ROS levels where lower in sh crt comparing and shSIRT3 in treated and untreated cells (p< 0.001), (iii) in terms of senescence,a higher level of positive cells for β-gal activity was found (p≤0.05) and (iv) for autophagy, our western blot analysis showed cleaved LC3 proteins. Our in vivo studies showed that SIRT3 regulated treatment response to palbociclib with a significant decrease in tumor weight and tumor volume (p< 0.01) and importantly, after immunohistochemistry analysis, we validated the role of SIRT3 in regulating the proteins involved in the autophagy/senescence balance, was mainly in epithelial cells compared to stromal cells. Conclusion: Our preclinical studies demonstrated that elevated SIRT3 expression levels sensitizes ER+/HER2- breast tumors to palbociclib treatment. This study suggested that SIRT3 expression could represent a potential predictive biomarker in HR+ MBC patients treated with Palbociclib. Citation Format: Maroua Manai, Ghada Sahraoui, Raoudha Doghri, Lorenzo Gerratana, Paolo D’Amico, Youbin Zhang, Jeannine Donahue, Ami Shah, Carolina Reduzzi, Wenan Qiang, Massimo Cristofanilli. SIRT3 as a new potential predictive biomarker for response to CDK4/6 inhibition in ER+/HER2- metastatic breast cancer patients [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PO3-14-12.

The Role of Circulating MicroRNAs in the Prediction of Response to Neoadjuvant Chemotherapy in Locally Advanced Breast Cancer in the Indian Population.

MicroRNAs (miRNAs) are known to play an important role in cancer cell proliferation, susceptibility of cancer cells to chemotherapy, and patient survival. Identifying miRNAs that can predict response to chemotherapy in locally advanced breast cancer (LABC), the most common variant, can help to choose appropriate drug regimensto suit the epigenetic profile of individual patients. To investigate the expression of the differentially expressed miRNAs identified by next-generation sequencing from a pilot study involving cases and controls, in peripheral blood mononuclear cells (PBMC) of patients with LABC during the course of neoadjuvant chemotherapy (NAC) and determine their role in response to chemotherapy. This study included 30 newly diagnosed LABC patients. Peripheral blood from every participant was collected before the start of chemotherapy, at the end of the third cycle, and at the end of the seventh cycle of NAC. Based on the results of a pilot study in a similar population with suitable controls, four differentially expressed miRNAs namely miR-24-2, miR-192-5p, miR-3609, and miR-664b-3p were considered to be validated in this study. The expression of these four miRNAs was examined by qRT-PCR, and their association with response to chemotherapy was analyzed. A significant change in the expression of miR-192-5p was found in responders (p = 0.001) over a period of seven cycles and the difference between the expression of miR-24-2 from baseline to the seventh cycle of NAC was higher in responders while compared to the non-responders (p < 0.05). miR-192-5p and miR-24-2 were identified as predictive biomarkers for response to NAC in south Indian patients with LABC.

Genomic Profiling of Rare Undifferentiated Sarcomatoid Subtypes of Pancreatic Carcinomas: In Search of Therapeutic Targets

PURPOSE The highly aggressive undifferentiated sarcomatoid carcinoma (USC) subtype of pancreatic ductal adenocarcinoma (PDAC) remains poorly characterized because of its rarity. Previous case reports suggest that immune checkpoint inhibitors could be a promising treatment strategy, but the prevalence of established predictive biomarkers of response is largely unknown. The objective of this study was to leverage comprehensive genomic profiling of USC PDAC tumors to determine the prevalence of biomarkers associated with potential response to targeted therapies. METHODS USC tumors (n = 20) underwent central pathology review by a board-certified gastrointestinal pathologist to confirm the diagnosis. These samples were compared with non-USC PDAC tumors (N = 5,562). Retrospective analysis of DNA and RNA next-generation sequencing data was performed. RESULTS USC PDACs were more frequently PD-L1+ by immunohistochemistry than non-USC PDAC (63% v 16%, respectively, P &lt; .001). Furthermore, USC PDAC had an increase in neutrophils (8.99% v 5.55%, P = .005) and dendritic cells (1.08% v 0.00%, q = 0.022) and an increased expression of PDCD1LG2 (4.6% v 1.3%, q = 0.001), PDCD1 (2.0% v 0.8%, q = 0.060), and HAVCR2 (45.9% v 21.7%, q = 0.107) than non-USC PDAC. Similar to non-USC PDAC, KRAS was the most commonly mutated gene (86% v 90%, respectively, P = 1). CONCLUSION To our knowledge, this work represents the largest molecular analysis of USC tumors to date and showed an increased expression of immune checkpoint genes in USC tumors. These findings provide evidence for further investigation into immune checkpoint inhibitors in USC tumors.

MIR4435-2HG as a possible novel predictive biomarker of chemotherapy response and death in pediatric B-cell ALL.

Introduction: Although B-cell acute lymphoblastic leukemia (B-cell ALL) survival rates have improved in recent years, Hispanic children continue to have poorer survival rates. There are few tools available to identify at the time of diagnosis whether the patient will respond to induction therapy. Our goal was to identify predictive biomarkers of treatment response, which could also serve as prognostic biomarkers of death, by identifying methylated and differentially expressed genes between patients with positive minimal residual disease (MRD+) and negative minimal residual disease (MRD-). Methods: DNA and RNA were extracted from tumor blasts separated by immunomagnetic columns. Illumina MethlationEPIC and mRNA sequencing assays were performed on 13 bone marrows from Hispanic children with B-cell ALL. Partek Flow was used for transcript mapping and quantification, followed by differential expression analysis using DEseq2. DNA methylation analyses were performed with Partek Genomic Suite and Genome Studio. Gene expression and differential methylation were compared between patients with MRD-/- and MRD+/+ at the end of induction chemotherapy. Overexpressed and hypomethylated genes were selected and validated by RT-qPCR in samples of an independent validation cohort. The predictive ability of the genes was assessed by logistic regression. Survival and Cox regression analyses were performed to determine the association of genes with death. Results: DAPK1, BOC, CNKSR3, MIR4435-2HG, CTHRC1, NPDC1, SLC45A3, ITGA6, and ASCL2 were overexpressed and hypomethylated in MRD+/+ patients. Overexpression was also validated by RT-qPCR. DAPK1, BOC, ASCL2, and CNKSR3 can predict refractoriness, but MIR4435-2HG is the best predictor. Additionally, higher expression of MIR4435-2HG increases the probability of non-response, death, and the risk of death. Finally, MIR4435-2HG overexpression, together with MRD+, are associated with poorer survival, and together with overexpression of DAPK1 and ASCL2, it could improve the risk classification of patients with normal karyotype. Conclusion: MIR4435-2HG is a potential predictive biomarker of treatment response and death in children with B-cell ALL.

A Comprehensive Review of Taxane Treatment in Breast Cancer: Clinical Perspectives and Toxicity Profiles.

Taxanes, such as paclitaxel and docetaxel, have transformed the landscape of breast cancer treatment, playing pivotal roles in chemotherapy protocols for both early-stage and advanced/metastatic diseases. While these agents have demonstrated remarkable efficacy in enhancing patient outcomes, they are also linked to a range of adverse effects that can impact treatment tolerability and quality of life. This comprehensive review offers an in-depth exploration of taxane therapy in breast cancer, with a focus on clinical perspectives and toxicity profiles. We delineate the mechanisms of action of taxanes, their clinical effectiveness across various breast cancer subtypes, and the prevalent adverse effects encountered in clinical practice. Moreover, we deliberate on strategies for mitigating taxane-associated toxicity and optimizing treatment selection and sequencing based on individual patient characteristics and therapeutic objectives. Finally, we underscore areas for future research and advancement, encompassing the development of novel formulations, the identification of predictive biomarkers for treatment response, and the exploration of combination therapies to bolster therapeutic outcomes. By amalgamating existing evidence and clinical insights, this review aims to apprise clinicians and researchers of the current status of taxane treatment in breast cancer and steer endeavors towardfurther enhancing patient care and outcomes.

The proportion of tumour stroma predicts response to treatment of immune checkpoint inhibitor in combination with chemotherapy in patients with stage IIIB-IV non-small cell lung cancer.

Immunotherapy has brought a new era to cancer treatment, yet we lack dependable predictors for its effectiveness. This study explores the predictive significance of intratumour stroma proportion (iTSP) for treatment success and prognosis in non-small cell lung cancer (NSCLC) patients undergoing treatment with immune check-point inhibitors (ICIs) together with chemotherapy. We retrospectively collected data from patients with unresectable stage IIIB-IV NSCLC who were treated with first-line ICIs and chemotherapy. Each patient received a confirmed pathological diagnosis, and the pathologist evaluated the iTSP on haematoxylin and eosin (H&E)-stained sections of diagnostic tissue slides. Among the 102 H&E-stained biopsy samples, 61 (59.8%) were categorised as stroma-L (less than 50% iTSP), while 41 (40.2%) were classified as stroma-H (more than 50% iTSP). We observed that the stroma-L group exhibited a significantly better objective response rate (ORR) (72.1 versus 51.2%, P = 0.031) and deeper response depth (DpR) (-50.49 ± 28.79% versus -35.83 ± 29.91%, P = 0.015) compared to the stroma-H group. Furthermore, the stroma-L group showed longer median progression-free survival (PFS) (9.6 versus 6.0 months, P = 0.011) and overall survival (OS) (24.0 versus 12.2 months, P = 0.001) compared to the stroma-H group. Multivariate Cox proportional hazards regression analysis indicated that iTSP was a highly significant prognostic factor for both PFS [hazard ratio (HR) = 1.713; P = 0.030] and OS (HR = 2.225; P = 0.003). Our findings indicate that a lower iTSP corresponds to improved clinical outcomes and greater DpR in individuals with stage IIIB-IV NSCLC treated with first-line ICIs and chemotherapy. The iTSP could potentially serve as a predictive biomarker for ICIs therapy response.

Automated Quantitative CD8+ Tumor-Infiltrating Lymphocytes and Tumor Mutation Burden as Independent Biomarkers in Melanoma Patients Receiving Front-Line Anti-PD-1 Immunotherapy.

CD8+ tumor-infiltrating lymphocyte (TIL) predicts response to anti-PD-(L)1 therapy. However, there remains no standardized method to assess CD8+ TIL in melanoma, and developing a specific, cost-effective, reproducible, and clinically actionable biomarker to anti-PD-(L)1 remains elusive. We report on the development of automatic CD8+ TIL density quantification via whole slide image (WSI) analysis in advanced melanoma patients treated with front-line anti-PD-1 blockade, and correlation immunotherapy response. Seventy-eight patients treated with PD-1 inhibitors in the front-line setting between January 2015 and May 2023 at the University of Pittsburgh Cancer Institute were included. CD8+ TIL density was quantified using an image analysis algorithm on digitized WSI. Targeted next-generation sequencing (NGS) was performed to determine tumor mutation burden (TMB) in a subset of 62 patients. ROC curves were used to determine biomarker cutoffs and response to therapy. Correlation between CD8+ TIL density and TMB cutoffs and response to therapy was studied. Higher CD8+ TIL density was significantly associated with improved response to front-line anti-PD-1 across all time points measured. CD8+ TIL density ≥222.9 cells/mm2 reliably segregated responders and non-responders to front-line anti-PD-1 therapy regardless of when response was measured. In a multivariate analysis, patients with CD8+ TIL density exceeding cutoff had significantly improved PFS with a trend toward improved OS. Similarly, increasing TMB was associated with improved response to anti-PD-1, and a cutoff of 14.70 Mut/Mb was associated with improved odds of response. The correlation between TMB and CD8+ TIL density was low, suggesting that each represented independent predictive biomarkers of response. An automatic digital analysis algorithm provides a standardized method to quantify CD8+ TIL density, which predicts response to front-line anti-PD-1 therapy. CD8+ TIL density and TMB are independent predictors of response to anti-PD-1 blockade.

The Significance of Thyroid Hormone Receptors in Breast Cancer: A Hypothesis-Generating Narrative Review.

Breast cancer (BC) is frequently diagnosed among Canadian women. While targeted therapies are available for most BC patients; treatment resistance is common and novel therapeutic targets are of interest. Thyroid hormones (TH) bound to thyroid hormone receptors (THR) influence cell proliferation and differentiation; they are also involved in the growth and development of normal breast tissue. Evidence suggests that THRβ is a tumor suppressor in various solid tumors. This narrative review discusses retrospective studies regarding the clinical relevance of THRβ as a potential prognostic biomarker and therapeutic target in BC. We consulted with an information specialist to develop a search strategy to find all literature related to THRα expression as a potential prognostic and therapeutic biomarker in breast cancer. The primary search was developed for Medline and translated to Embase. The searches were conducted on the Ovid platform on 18 August 2023. Across seven retrospective studies identified, several have shown an association between higher THRβ1 expression with a lower risk of BC recurrence and with longer overall survival. Some evidence suggests that THRβ expression is associated with a lower risk of BC recurrence and death. Validation of THRβ as an independent prognostic biomarker and possible predictive biomarker of response to endocrine therapy and/or chemotherapy is of interest. Given that THRβ is upstream of the AKT/PI3K pathway, its potential as a predictive biomarker of response to AKT inhibitors and/or PI3K inhibitors may also be of value. Finally, the potential re-purposing of THRβ agonists as anti-cancer agents warrants investigation.

Keratin 17 is a prognostic and predictive biomarker in pancreatic ductal adenocarcinoma.

To determine the role of keratin 17 (K17) as a predictive biomarker for response to chemotherapy by defining thresholds of K17 expression based on immunohistochemical tests that could be used to optimize therapeutic intervention for patients with pancreatic ductal adenocarcinoma (PDAC). We profiled K17 expression, a hallmark of the basal molecular subtype of PDAC, by immunohistochemistry in 2 cohorts of formalin-fixed, paraffin-embedded PDACs (n = 305). We determined a K17 threshold of expression to optimize prognostic stratification according to the lowest Akaike information criterion and explored the potential relationship between K17 and chemoresistance by multivariate predictive analyses. Patients with advanced-stage, low K17 PDACs treated using 5-fluorouracil (5-FU)-based chemotherapeutic regimens had 3-fold longer survival than corresponding cases treated with gemcitabine-based chemotherapy. By contrast, PDACs with high K17 did not respond to either regimen. The predictive value of K17 was independent of tumor mutation status and other clinicopathologic variables. The detection of K17 in 10% or greater of PDAC cells identified patients with shortest survival. Among patients with low K17 PDACs, 5-FU-based treatment was more likely than gemcitabine-based therapies to extend survival.

Novel Blood Biomarkers for Response Prediction and Monitoring of Stereotactic Ablative Radiotherapy and Immunotherapy in Metastatic Oligoprogressive Lung Cancer.

Up to 80% of patients under immune checkpoint inhibitors (ICI) face resistance. In this context, stereotactic ablative radiotherapy (SABR) can induce an immune or abscopal response. However, its molecular determinants remain unknown. We present early results of a translational study assessing biomarkers of response to combined ICI and SABR (I-SABR) in liquid biopsy from oligoprogressive patients in a prospective observational multicenter study. Cohort A includes metastatic patients in oligoprogression to ICI maintaining the same ICI due to clinical benefit and who receive concomitant SABR. B is a comparative group of oligometastatic patients receiving only SABR. Blood samples are extracted at baseline (T1), after the first (T2) and last (T3) fraction, two months post-SABR (T4) and at further progression (TP). Response is evaluated by iRECIST and defined by the objective response rate (ORR)-complete and partial responses. We assess peripheral blood mononuclear cells (PBMCs), circulating cell-free DNA (cfDNA) and small RNA from extracellular vesicles. Twenty-seven patients could be analyzed (cohort A: n = 19; B: n = 8). Most were males with non-small cell lung cancer and one progressing lesion. With a median follow-up of 6 months, the last ORR was 63% (26% complete and 37% partial response). A decrease in cfDNA from T2 to T3 correlated with a good response. At T2, CD8+PD1+ and CD8+PDL1+ cells were increased in non-responders and responders, respectively. At T2, 27 microRNAs were differentially expressed. These are potential biomarkers of response to I-SABR in oligoprogressive disease.