Evaluation of pathological complete response as surrogate endpoint in neoadjuvant randomised clinical trials of early stage breast cancer: systematic review and meta-analysis

Research trends of neoadjuvant therapy for breast cancer: A bibliometric analysis

The approach of neoadjuvant therapy for breast cancer, which involves administering systemic treatment prior to primary surgery, has undergone substantial advancements in recent decades. This strategy is intended to reduce tumor size, thereby enabling less invasive surgical procedures and enhancing patient outcomes. This study presents a comprehensive bibliometric analysis of research trends in neoadjuvant therapy for breast cancer from 2009 to 2024. Using data extracted from the Web of Science Core Collection, a total of 3,674 articles were analyzed to map the research landscape in this field. The analysis reveals a steady increase in publication output, peaking in 2022, with the United States and China identified as the leading contributors. Key institutions, such as the University of Texas System and MD Anderson Cancer Center, have been instrumental in advancing the research on neoadjuvant therapy. The study also highlights the contributions of influential authors like Sibylle Loibl and Gunter von Minckwitz, as well as major journals such as the Journal of Clinical Oncology. Emerging research topics, including immunotherapy, liquid biopsy, and artificial intelligence, are gaining prominence and represent potential future directions for clinical applications. This bibliometric analysis provides critical insights into global research trends, key contributors, and future developments in the field of neoadjuvant therapy for breast cancer, offering a foundation for future research and clinical practice advancements.

Evaluation of surrogate endpoints in phase III randomized control trials of advanced hepatocellular carcinoma treated with immune checkpoint inhibitors

PURPOSE

Overall survival (OS) is recommended as a gold standard endpoint but has some limitations. We aimed to finding more effective surrogate endpoints for advanced hepatocellular carcinoma (HCC) treated with immune checkpoint inhibitors (ICIs).

METHODS

Three online databases were searched for randomized control trials (RCTs) on HCC, published between January 2015 and July 2023, that evaluated ICIs and reported progression-free survival (PFS), objective response rate (ORR), disease control rate (DCR), and OS. The correlation between the potential surrogate endpoints and OS was evaluated at the trial, arm, and patient levels. The prediction models were validated in single-arm or non-RCTs. Individual data were collected from a real-world (RW) cohort with advanced HCC underwent ICI monotherapy at three tertiary medical centers in China.

RESULTS

Ten RCTs (6023 participants) with 11 comparisons were included. PFS had a moderately significant association with OS (R2 = 0.50, p = 0.014). ORR, DCR, and OS showed weak correlations. On limiting the analysis to ICI monotherapy studies, the correlations of OS with PFS became stronger (R2 = 0.85, p = 0.02). The RW cohort also verified that PFS was closely related to OS when patient received with ICI monotherapy.

CONCLUSION

PFS are recommended as surrogate markers in patients with advanced HCC treated with ICI monotherapy.

Long-term Outcomes for Neoadjuvant Versus Adjuvant Chemotherapy in ER+/HER2- Locally Advanced Breast Cancer

BACKGROUND

The effectiveness of neoadjuvant chemotherapy (NaCT) over adjuvant chemotherapy (ACT) in enhancing long-term survival for ER+/HER2- breast cancer patients is uncertain. This study compares breast cancer-specific survival (BCSS) between these treatments in patients with stage IIB-IIIC ER+/HER2- breast cancer using the SEER database.

METHODS

Data from 46,837 patients who underwent chemotherapy and surgery from 2010-2019 were analyzed. Breast cancer-specific survival was assessed by using multivariable Cox regression, inverse probability of treatment weighting (IPTW), and propensity score-matching (PSM) models, along with subgroup analyses.

RESULTS

Of the study cohort, 78.4% received ACT, and 21.6% received NaCT. Neoadjuvant chemotherapy usage increased from 15.6% in 2010 to 31.4% in 2019. Multivariable analysis indicated a lower BCSS in the NaCT group (hazard ratio [HR] 1.39, 95% confidence interval [CI] 1.31-1.48, P < 0.001), a trend consistent in IPTW and PSM analyses. However, in specific subgroups, particularly younger patients (<40 years) achieving pathologic complete response (pCR), the NaCT group exhibited better BCSS.

CONCLUSIONS

Overall, NaCT was associated with poorer survival compared to ACT in ER+/HER2- breast cancer. Nonetheless, certain subgroups, especially younger patients achieving pCR, showed potential benefits from NaCT. Future research should aim to identify markers for optimally applying NaCT in ER+/HER2- breast cancer treatment.

Surrogate End Points for Overall Survival in Neoadjuvant Randomized Clinical Trials for Early Breast Cancer

PURPOSE

To assess trial-level surrogacy value for overall survival (OS) of the pathologic complete response (pCR) and invasive disease-free survival (iDFS) in randomized clinical trials (RCTs) for early breast cancer (BC).

METHODS

Individual patient data of neoadjuvant RCTs with available data on pCR, iDFS, and OS were included in the analysis. We used the coefficient of determination R2 from weighted linear regression models to quantify the association between treatment effects on OS and on the surrogate end points.

RESULTS

Eleven RCTs, for a total of 15 treatment comparisons and 12,247 patients, were included in the analysis. There was a weak association between hazard ratios (HRs) for OS and odds ratio of pCR overall (R2, 0.07; 95% CI, 0.00 to 0.48), as well as in all the subgroups explored. Overall, the R2 for the association between HR OS and HR iDFS was 0.46 (95% CI, 0.08 to 0.71), which is just below the cutoff of 0.5 for moderate surrogacy. In the majority of subgroups explored, the R2 ranged from 0.5 to <0.7, while in hormone receptor-/human epidermal growth factor receptor 2- subtype, histologic grade 1-2 tumors, and lobular tumors, surrogacy was strong (ie, R2 ≥0.7). The surrogacy value of iDFS for OS was affected by follow-up (FUP) length: R2 substantially increased up to 36 months of FUP, with little further improvement after 48 months of FUP.

CONCLUSION

iDFS with sufficient FUP is an acceptable surrogate end point to confidently anticipate final OS results of neoadjuvant RCTs for early BC. This recommendation holds true across many subgroups, with the notable exception of HR+ disease. There is definite need to reassess whether OS is the optimal end point for treatment efficacy measurement in HR+ early BC.

Pathologic response as an early endpoint for survival following neoadjuvant androgen deprivation therapy plus abiraterone acetate for metastatic prostate cancer

PURPOSE

This study aimed to explore the factors affecting pathologic complete response (pCR) and prognosis of locally advanced prostate cancer (LAPCa) or metastatic prostate cancer (mPCa) treated with neoadjuvant androgen deprivation therapy (ADT) with abiraterone acetate (AA).

METHODS

This retrospective study enrolled patients diagnosed with LAPCa or mPCa who were divided into three groups based on prostate-specific antigen (PSA) nadir following ADT with AA: group 1 (PSA ≤ 0.2 ng/ml), group 2 (PSA 0.2-4.0 ng/ml), and group 3 (PSA > 4.0 ng/ml). Univariate and multivariate logistic regression models were utilized to investigate the relationship between the variables and pCR, and risk factors of castration-resistant prostate cancer (CRPC).

RESULTS

Among 79 enrolled patients, 33 (41.8%) patients presented with tumor downstaging and 12 (15.2%) patients presented with pCR. PSA nadir was an independent risk factor for tumor downstaging and pCR. Total 71 (89.87%) patients developed CRPC. The median progression time to CRPC in group 1, 2, and 3 was 28, 26, and 24.5 months, respectively. Compared to control group, patients with tumor downstaging, pCR, or PSA nadir < 0.2 ng/ml had better progression-free survival. Tumor downstaging, pCR, and PSA nadir were independent risk factors for progression to CRPC in LAPCa or mPCa.

CONCLUSION

For patients with LAPCa or mPCa after neoadjuvant AA plus ADT, PSA nadir help predict tumor downstaging or pCR. The patients with tumor downstaging, pCR, or PSA nadir < 0.2 ng/ml have a longer progression time to CRPC.

Circulating tumor DNA Clearance as a Predictive Biomarker of Pathologic Complete Response in Patients with Solid Tumors Treated with Neoadjuvant Immune-Checkpoint Inhibitors: a Systematic Review and Meta-Analysis

BACKGROUND

In patients with solid tumors undergoing neoadjuvant immune checkpoint inhibitor (ICI) therapy, identifying biomarkers to predict pathologic complete response (pCR) preoperatively could enhance treatment modulation. Circulating tumor DNA (ctDNA) clearance is a potential predictor of pCR, though its analytical and clinical validity has yet to be established. This systematic review and meta-analysis aims to assess the role of ctDNA clearance as a predictor of pCR in patients with solid tumors treated with neoadjuvant ICIs.

MATERIALS AND METHODS

A systematic search of PubMed, EMBASE and conference proceedings up to 5 August 2024 was carried out to identify phase 1b, 2 or 3 clinical trials investigating ctDNA clearance and pCR in patients with solid tumors and detectable ctDNA, undergoing neoadjuvant therapy with ICIs. Using a bivariate model, we estimated the pooled sensitivity and specificity of ctDNA clearance in predicting pCR, positive likelihood ratio (PLR), negative likelihood ratio (NLR) and diagnostic odds ratio (DOR), with 95% Confidence Intervals (CI).

RESULTS

Thirteen trials involving 380 patients with detectable ctDNA at baseline were included. ctDNA was assessed with a tumor-informed approach in 11 (85%) trials. Overall, 38% of patients achieved pCR and 73% had ctDNA clearance before/at the surgery. Pooled sensitivity was 0.98 (95% CI: 0.86, 1.00), specificity was 0.53 (95% CI: 0.37, 0.69), PLR was 2.09 (95% CI: 1.48, 2.93), NLR was 0.04 (95% CI: 0.01, 0.26), DOR was 57.36 (95% CI: 8.12, 405.12). Significant heterogeneity was observed across studies (I2 ∼70% for all metrics), indicating considerable variability in the diagnostic performance.

CONCLUSION

The lack of ctDNA clearance may identify patients unlikely to have a pCR. Instead, the confirmatory power of ctDNA clearance is limited by low specificity and high heterogeneity due to the variability of the assays, and warrants further study. Therefore, clinicians should not rely on the use of ctDNA clearance to inform treatment decisions in the neoadjuvant setting.

Neoadjuvant Immunotherapy in Resectable HNSCC: An Updated Systematic Review and Meta-analysis

BACKGROUND

Immunotherapy is a recently recognised FDA-approved treatment for R/M HNSCC. Our goal is to explore the safety profile and the efficacy of immunotherapy in the neoadjuvant setting before surgery in mucosal head and neck cancer.

METHODS

Three electronic databases had been systematically searched through March 2024. Demographic and tumour characteristics were extracted. Primary outcomes obtained were disease-free survival (DFS), progression-free survival (PFS), overall survival (OS), complete pathological response (cPR), which was defined as no residual tumour, and major pathological response (MPR), which as defined as <10% residual viable tumour. Safety outcomes examined were grade 3 and above adverse event, median time to surgery, delays to surgery, and death related to neoadjuvant treatment.

RESULTS

A total of 459 patients from 15 studies were included in the analysis. The pooled estimate of cPR for all the studies was 14.9% (95% confidence interval [CI] 8.0-26.2). Subgroup analysis showed chemoimmunotherapy had a higher cPR 30.1% (95% CI 22.8-38.62) compared with immunotherapy alone 1.4% (95% CI 0.3-5.2). There was no treatment-related death. Chemoimmunotherapy had a higher pooled estimate of adverse events 22.9% (95% CI 11.0-41.5) compared with immunotherapy alone 8.5% (95% CI 2.6-24.3). Subgroup analysis demonstrated that chemoimmunotherapy had a higher DFS compared with immunotherapy alone: 89.8% (95% CI 81.4-94.7) versus 80.44% (95% CI 73.9-85.7), respectively. Neoadjuvant immunoradiotherapy had conflicting results.

CONCLUSIONS

Neoadjuvant immunotherapy was well tolerated. Neoadjuvant chemoimmunotherapy may be more effective in treating LAHNSCC over immunotherapy alone; however, TRAEs were higher.

Prognostic role of STMN1 expression and neoadjuvant therapy efficacy in breast cancer

PURPOSE

breast cancer is common and highly malignant, currently, STMN1 was found to be associated with several human malignancies. The purpose of this study is to investigate STMN1 expression in breast cancer and explore its role in disease progression and its interaction with neoadjuvant therapy efficacy.

METHODS

we analyzed the tissue STMN1 mRNA expression in BC tissue samples from 105 patients received with neoadjuvant therapy using qPCR between 2019 and 2022.

RESULTS

Statistical analysis showed that a high expression of STMN1 before neoadjuvant chemotherapy (NACT) was a trend positively related to non-pCR in the ITT (Intention to Treat) population, while in patients with paclitaxel or docetaxel regimens, before-NACT STMN1 expression was obviously higher in non-pCR (failure to achieve pathologically complete response) patients. Additionally, compared to pCR, high expression of STMN1 after NACT was obviously related to non-pCR. Interestingly, Kaplan-Meier analysis demonstrated that patients with mid-high STMN1 expression before and post-NACT had a poorer PFS to compared to those with low expression.

CONCLUSIONS

STMN1 is the potential biomarker of NACT and prognosis for breast cancer.

Prediction of neoadjuvant chemotherapy efficacy and prognostic biomarker analysis in patients with triple-negative breast cancer

Background

Neoadjuvant chemotherapy has become a common and effective treatment modality for triple-negative breast cancer (TNBC). The primary goal is to reduce the size of the primary tumor, enabling breast-conserving surgery, axillary preservation, and a transition to operability, thereby providing patients with more therapeutic options. Although neoadjuvant chemotherapy (NAC) has demonstrated favorable outcomes in clinical practice, predicting its efficacy and prognostic value in TNBC remains a key challenge in current clinical research.

Methods

This study included 248 TNBC patients who received NAC at two breast cancer treatment centers. By employing a modeling validation approach, we aim to explore predictors of treatment efficacy and potential prognostic biomarkers associated with NAC.

Results

In the multivariable analysis of the training set, the factors predicting the pathological complete response (pCR) to NAC in TNBC patients include high biopsy-sTILs expression, biopsy-Ki67 > 20%, and positive expression of biopsy-androgen receptor (AR). The factors predicting disease-free survival (DFS) are ypN3, high postoperative sTIL expression, receipt of postoperative radiotherapy, and effective NAC. The factors predicting overall survival (OS) include ypN2, ypN3, high postoperative sTIL expression, postoperative Ki67 > 20%, receipt of postoperative radiotherapy, and effective NAC. The C-indices in the training and validation sets for the prediction of pCR using the nomogram were 0.729 and 0.816, respectively. The C-indices for predicting DFS were 0.895 and 0.865, respectively. The C-indices for predicting OS were 0.899 and 0.860, respectively.

Conclusion

This study established and validated a nomogram model predicting the pCR, DFS, and OS in TNBC patients undergoing NAC. This model demonstrates good discrimination and accuracy.

Gene expression associated with endocrine therapy resistance in estrogen receptor-positive breast cancer

Despite endocrine therapy (ET), approximately 20-40% of Stage I-III estrogen receptor-positive breast cancer (ER + BC) patients experience recurrence. Recurrence while on ET is indicative of ET resistance. This study aimed to identify differentially expressed genes (DEGs) associated with recurrence during ET (ET resistance) and to explore gene expression differences across PAM50 molecular subtypes. Eighty tumor specimens from 79 patients treated at the City of Hope Comprehensive Cancer Center (2012-2016) were analyzed using NanoString technology. Fourteen patients (17.7%) experienced recurrence over a median follow-up of 68 months (range 35-104 months). Key upregulated DEGs in the recurrence group included EZH2 (log2 fold change[log2FC]: 0.67, p = 0.0017), WNT11 (log2FC: 1.08, p = 0.0088), ITGB6 (log2FC: 0.80, p = 0.0312), and TOP2A (log2FC: 0.79, p = 0.0381). Downregulated DEGs included SNAI2 (log2FC: - 0.63, p = 0.0055), ITPR1 (log2FC: - 0.75, p = 0.0083), CD10 (log2FC: - 0.70, p = 0.0092), PTEN (log2FC: - 0.29, p = 0.0163), VRD (log2FC: - 0.46, p = 0.0184), and WNT5A (log2FC: - 0.76, p = 0.0272). EZH2 and TOP2A were positively correlated with proliferation scores, while WNT11 and ITGB6 emerged as potential biomarkers independently associated with recurrence. These findings suggest novel biomarker candidates that could help overcome ET resistance, reduce recurrence, and improve outcomes in ER + BC.

Predictive Value of Excision Repair Cross Complementation Group 1 (ERCC1) by Immunohistochemistry for Determining Neoadjuvant Chemotherapy Response in Triple-Negative Breast Cancers

Introduction: Triple-negative breast cancers (TNBCs) constitute a significant proportion of breast cancers in Pakistan. Owing to the lack of expression of hormone (estrogen/progesterone) receptor and human epidermal growth factor receptor 2 (HER2neu), treatment options for TNBCs are limited. Therefore, it is important to identify markers that predict response to chemotherapy in these patients. Previous studies have demonstrated that the excision repair cross complementation group 1 (ERCC1) protein can successfully augur the response to chemotherapy in cancer; however, data related to TNBCs, particularly in Pakistan, are limited. Therefore, in this study, we evaluated the role of ERCC1 in predicting the response to neoadjuvant chemotherapy in patients with TNBCs. Methods: This cross-sectional study was conducted at the Liaquat National Hospital, Histopathology Department, between January 2019 and June 2023. A total of 132 biopsy-proven cases of breast cancer that were negative for estrogen receptor (ER), progesterone receptor (PR), and HER/2neu and were administered neoadjuvant chemotherapy before surgery were included in the study. ERCC1 immunohistochemical (IHC) staining was performed on prechemotherapy needle biopsies. The results were scored semiquantitatively by assessing the average intensity on a scale of 0-3 (0, no staining; 1, weak nuclear staining; 2, intermediate nuclear staining; and 3, strong nuclear staining) and the proportion of tumor cells showing positive nuclear staining. The intensity and proportion scores were then multiplied to give a score that was divided by 100 to give an overall score, and scores equal to or higher than 1.0 were considered positive. Neoadjuvant chemotherapy response was categorized as pathological complete response (pCR) when no residual invasive breast carcinoma was found on the postneoadjuvant chemotherapy excision specimen and as pathological partial response (pPR) when residual cancer cells were present in admixed chemotherapy-related changes. The residual cancer burden (RCB) was calculated using the MD Anderson RCB calculator. The association between ERCC1 expression and the chemotherapy response/RCB class was determined. Results: We found that 90.9% (n = 120) of TNBC cases expressed ERCC1, whereas pCR was noted in 24 (18.2%) cases. A significant association was observed between ERCC1 expression and pCR. Cases with negative ERCC1 expression had a significantly higher frequency of pCR (66.7%) than those with positive ERCC1 expression (13.3%). Additionally, the ERCC1-positive group showed a higher frequency of RCB classes II (36.7%) and III (43.3%) than the ERCC1-negative group (RCB II: 25%; RCB III: 0%). Moreover, positive ERCC1 expression was associated with higher nodal (N) stage. Conclusion: In this study, we established the role of negative ERCC1 expression in predicting the response to chemotherapy in neoadjuvant TNBC. Therefore, ERCC1 can be used as a predictive marker to stratify patients who will benefit from neoadjuvant therapy. Moreover, we also noted an association between ERCC1 expression and nodal metastasis; however, more large-scale studies are needed to establish its role as a prognostic biomarker in TNBC.

Clinical efficacy and therapy response prediction of neoadjuvant dalpiciclib plus letrozole in postmenopausal patients with HR+/HER2- stage II-III breast cancer (DARLING 01): a single-arm, open-label, exploratory study

BACKGROUND

Hormone receptor-positive/human epidermal growth factor receptor 2-negative (HR+/HER2-) breast cancer is the most common subtype of breast cancer, yet its response to traditional chemotherapy remains limited, posing a challenge in achieving optimal therapeutic outcomes. In this study, we aimed to evaluate the clinical efficacy and safety of dalpiciclib, a novel CDK4/6 inhibitor, combined with letrozole as neoadjuvant therapy (NAT) in postmenopausal patients with HR+/HER2- stage II-III breast cancer. Additionally, we explored potential predictive biomarkers for treatment response using gene analysis.

METHODS

This single-arm, open-label, exploratory phase II trial involved 35 postmenopausal women with HR+/HER2- breast cancer (ClinicalTrials.gov identifier NCT05512780). Patients received four cycles of dalpiciclib (125 mg/day for 3 weeks, followed by 1 week off) plus continuous letrozole (2.5 mg/day). The primary endpoint was objective response rate (ORR), and secondary endpoints included changes in Ki-67 expression, complete cell cycle arrest (CCCA) rate, residual cancer burden (RCB), and safety profiles. Gene expression profiling and least absolute shrinkage and selection operator (LASSO) regression were conducted to identify biomarkers predictive of response to NAT.

RESULTS

Among the 35 enrolled patients, 31 completed the full treatment course. Of the 29 patients with evaluable response data after 4 cycles, 16 achieved partial response (PR), resulting in an ORR of 55.2%. Following two weeks of treatment, the mean Ki-67 expression significantly decreased from a baseline of 17.5-1.8%, and CCCA was observed in 75% of patients. Grade ≥ 3 treatment-emergent adverse events (TEAEs) were mainly decreased neutrophil count (45.7%), with a median duration of 3 days. The NAT predictive model, developed using gene expression analysis and clinicopathological factors, achieved an area under the curve (AUC) of 0.928, indicating that TFRC, SCUBE2, and MMP11A could serve as novel predictive biomarkers for response to NAT.

CONCLUSIONS

Dalpiciclib combined with letrozole demonstrated promising antitumor activity and an acceptable safety profile in postmenopausal patients with HR+/HER2- breast cancer. The identification of TFRC, SCUBE2, and MMP11A as predictive biomarkers provides insights into the potential for personalized neoadjuvant treatment strategies.

Accessible model predicts response in hormone receptor positive HER2 negative breast cancer receiving neoadjuvant chemotherapy

Hormone receptor-positive/HER2-negative breast cancer (BC) is the most common subtype of BC and typically occurs as an early, operable disease. In patients receiving neoadjuvant chemotherapy (NACT), pathological complete response (pCR) is rare and multiple efforts have been made to predict disease recurrence. We developed a framework to predict pCR using clinicopathological characteristics widely available at diagnosis. The machine learning (ML) models were trained to predict pCR (n = 463), evaluated in an internal validation cohort (n = 109) and validated in an external validation cohort (n = 151). The best model was an Elastic Net, which achieved an area under the curve (AUC) of respectively 0.86 and 0.81. Our results highlight how simpler models using few input variables can be as valuable as more complex ML architectures. Our model is freely available and can be used to enhance the stratification of BC patients receiving NACT, providing a framework for the development of risk-adapted clinical trials.

The value of inflammation-related indicators in chemotherapy efficacy and disease-free survival of triple-negative breast cancer

BACKGROUND

Systemic inflammation is closely correlated with the progression of cancer. Inflammation-related indicators has been recognized as outcome predictors in triple-negative breast cancer (TNBC). Our study aimed to investigate the predictive value of several inflammation-related indicators in TNBC patients underwent chemotherapy (NAC).

METHODS

100 TNBC patients were enrolled in the study. Levels of interleukin-6 (IL-6) were detected by enzyme-linked immunosorbent assays (ELISAs). Platelet-to-lymphocyte ratio (PLR) and immune inflammatory index (SII) were obtained from blood routine. Levels of Ki-67 expression were detected by immunohistochemistry (IHC). Mentioned indicators were divided into two groups based on their median values. The correlation between these indicators and NAC efficacy was analyzed using t tests. Prognostic risk scores were calculated by univariate Cox regression analysis and Lasso-penalized Cox regression. The patients were divided into low- and high-risk groups based on the median risk score. Survival curves were obtained by Kaplan-Meier method. Models for univariate and multivariate Cox regression analyses were performed to determine the independent risk factors. A nomogram was used for the prediction of 1-, 2-, and 3-year disease-free survival (DFS). Accuracy of the prognostic model was validated by receiver operating characteristic curve (ROC).

RESULTS

IL-6, PLR, SII, and Ki-67 levels were associated with neoadjuvant efficacy. IL-6, PLR, SII, Ki-67, and lymphocyte count were associated with DFS. The risk score for each TNBC patient was obtained using LASSO regression analysis to construct a prognostic model. In the prognostic model, patients in the high-risk score group showed worse DFS than those in the low-risk group. Risk score and tumor size were independently correlated with outcomes in multivariate Cox regression analysis. A nomogram was constructed using IL-6, PLR, SII, Ki-67, and Miller-Payne (MP) scores. Calibration curves demonstrated good consistency between the actual and predictive values of the nomogram.

CONCLUSION

A prognostic model was established by combining four prognosis-related indicators in TNBC patients who underwent NAC.

Prognostic implications of response to neoadjuvant chemotherapy in breast cancer subtypes

The current study was designed to assess the response to treatment, as well as clinical and survival outcomes, across different breast cancer subtypes in patients who underwent neoadjuvant chemotherapy (NAC). From 2014 to 2019, a total of 139 patients who were histologically confirmed to have breast cancer, underwent NAC, and subsequently received breast and axillary surgery, were retrospectively included in this study. The rates of pathological complete response (pCR) to NAC were significantly higher for HER2-positive and triple-negative subtypes than for luminal A and HER2-negative subtypes (p = 0.013). Multivariate analysis for disease-free survival (DFS) revealed that tumour grade and the presence of pCR were independent prognostic factors. The presence or absence of a pCR with NAC was an independent prognostic indicator in the multivariate analysis for overall survival (OS). Lastly, achieving a pCR was independently predicted by 18F-FDG PET/CT findings, the HER2-positive subtype, and the triple-negative subtype. Despite the inherent methodological limitations, our findings underscore the significance of identifying predictive markers to tailor NAC plans, with the aim of improving survival outcomes.

Deep learning-based multi-task prediction of response to neoadjuvant chemotherapy using multiscale whole slide images in breast cancer: A multicenter study

Objective

Early predicting response before neoadjuvant chemotherapy (NAC) is crucial for personalized treatment plans for locally advanced breast cancer patients. We aim to develop a multi-task model using multiscale whole slide images (WSIs) features to predict the response to breast cancer NAC more finely.

Methods

This work collected 1,670 whole slide images for training and validation sets, internal testing sets, external testing sets, and prospective testing sets of the weakly-supervised deep learning-based multi-task model (DLMM) in predicting treatment response and pCR to NAC. Our approach models two-by-two feature interactions across scales by employing concatenate fusion of single-scale feature representations, and controls the expressiveness of each representation via a gating-based attention mechanism.

Results

In the retrospective analysis, DLMM exhibited excellent predictive performance for the prediction of treatment response, with area under the receiver operating characteristic curves (AUCs) of 0.869 [95% confidence interval (95% CI): 0.806-0.933] in the internal testing set and 0.841 (95% CI: 0.814-0.867) in the external testing sets. For the pCR prediction task, DLMM reached AUCs of 0.865 (95% CI: 0.763-0.964) in the internal testing and 0.821 (95% CI: 0.763-0.878) in the pooled external testing set. In the prospective testing study, DLMM also demonstrated favorable predictive performance, with AUCs of 0.829 (95% CI: 0.754-0.903) and 0.821 (95% CI: 0.692-0.949) in treatment response and pCR prediction, respectively. DLMM significantly outperformed the baseline models in all testing sets (P<0.05). Heatmaps were employed to interpret the decision-making basis of the model. Furthermore, it was discovered that high DLMM scores were associated with immune-related pathways and cells in the microenvironment during biological basis exploration.

Conclusions

The DLMM represents a valuable tool that aids clinicians in selecting personalized treatment strategies for breast cancer patients.

Adding Anti-HER2 Therapy to Neoadjuvant Endocrine Therapy Seems Effective in Hormone Receptor and HER2 Positive Breast Cancer Patients Unfit for Chemotherapy: A Nationwide Population-Based Cohort Study

Introduction: Data are lacking on the optimal neoadjuvant systemic treatment (NST) for women with hormone receptor-positive (HR+) human epidermal growth factor receptor 2-positive (HER2+) breast cancer if they are unfit to receive the combination of chemotherapy and anti-HER2 therapy. The aim of this study was to determine whether the rates of ypT0 and ypN0 differ between patients treated with neoadjuvant endocrine therapy (NET) versus NET combined with anti-HER2 therapy (NET+aHER2). Materials and Methods: Data from the Netherlands Cancer Registry were analysed to identify women diagnosed with primary HR+/HER2+ breast cancer between 2008 and 2019, treated with either NET or NET+aHER2. The ypT0 and ypN0 rates were analysed (using uni- and multivariable logistic regression analyses, as applicable) in relation to the characteristics of the patient, the tumour, and the treatment. Results: Of the 190 patients identified (median age 77), 150 had been treated with NET and 40 with NET+aHER2. Patients with clinically node-positive disease (cN+) were significantly more likely to have been treated with NET+aHER2 (p = 0.029). The ypT0 rate was significantly higher after NET+aHER2, with 10.0% (4/40) versus 1.3% (2/150) following NET (p = 0.019). The ypN0 rate was significantly higher after NET+aHER2, with 25.0% (6/24) versus 5.5% (3/55) following NET in the cN+ patients (p = 0.020) and 81.3% (13/16) versus 55.8% (53/95) after NET in the cN- patients (p = 0.047). In the cN- patients, the ypN0 status was independently associated with age (p = 0.008) and the administration of NET+aHER2 (p = 0.016). Conclusions: The rates of ypT0 and ypN0 in women with HR+/HER2+ breast cancer treated with NST was significantly higher following NET+aHER2 than after NET.

The Consideration of Appropriate Surrogate Endpoint in Premarket Clinical Trials of Drug-Coated Balloon Catheter for the Treatment of Femoropopliteal Artery Stenosis

PURPOSE

Most clinical trials of drug-coated balloon (DCB) for the treatment of femoropopliteal artery stenosis chose 12-month primary patency rate (PPR) or 6-month late lumen loss (LLL) as the primary endpoint. It is still debatable whether 6-month LLL can be served as an appropriate surrogate endpoint for 12-month PPR. This study aimed to identify whether LLL can serve as an appropriate surrogate endpoint in peripheral DCB clinical trials, and shed light on the selection of primary outcome for subsequent confirmatory clinical trials of DCB in the treatment of femoropopliteal artery stenosis.

MATERIALS AND METHODS

The linear regression model was used to evaluate the correlation between 12-month PPR and 6-month LLL. Pooled standardized mean differences (SMDs) and relative gain between the DCB and plain old balloon angioplasty (POBA) group were computed to assess the consistency and surrogacy, using fixed or random effect model as appropriate. The coefficient of variation (CV) was calculated for both endpoints to compare their degree of variation overall and at study level.

RESULTS

A total of 34 studies are eligible for this study. A significant negative linear correlation was found between 12-month PPR and 6-month LLL (R2=0.67, slope=-0.309, p=0.007). The SMD (DCB-POBA) of LLL and PPR was -0.76 (95% confidence interval [CI]: -0.98, -0.54), and 0.59 (95% CI: 0.46, 0.72) (p=0.18). The pooled relative gain of PPR (43%, 95% CI: 35%, 50%) was significantly lower than that of LLL (72%, 95% CI: 61%, 84%) (p<0.001). Coefficient of variation of LLL was larger than that of PPR overall in DCB and POBA groups.

CONCLUSION

Although a significant moderate correlation was observed between 12-month PPR and 6-month LLL, PPR shows more conservative and robust than LLL, which may exaggerate clinical benefits. Late lumen loss should be used discreetly depending on different situations and clinical benefits for patients.

CLINICAL IMPACT

This study addresses the critical issue of primary endpoint selection in clinical trials of drug-coated balloon for femoropopliteal artery stenosis. By elucidating the moderate correlation between 6-month late lumen loss (LLL) and 12-month primary patency rate (PPR), the findings underscore the limitations of LLL as a surrogate endpoint due to its variability and potential to overstate clinical benefits. The study advocates for the use of 12-month PPR as a more robust and conservative endpoint in pivotal trials, particularly for novel devices. These findings provide clinicians with a nuanced understanding of outcome measures, promoting evidence-based decision-making and regulatory alignment to ensure patient benefits in vascular interventions.

The impact of PET imaging on triple negative breast cancer: an updated evidence-based perspective

INTRODUCTION

Triple-negative breast cancer (TNBC) is a subtype of breast cancer characterized by the absence of estrogen, progesterone, and HER2 receptors. It predominantly affects younger women and is associated with a poor prognosis. This systematic review aims to evaluate the current role of positron emission tomography (PET) in the management of TNBC patients and to identify future research directions.

METHODS

We systematically searched the PubMed, Scopus, and Web of Science databases up to February 2024. A team of five researchers conducted data extraction and analysis. The quality of the selected studies was assessed using a specific evaluation form.

RESULTS

Twenty-eight studies involving 2870 TNBC patients were included in the review. Key clinical applications of PET in TNBC included predicting pathological complete response (pCR) in patients undergoing neoadjuvant chemotherapy (NAC), assessing the prognostic value of baseline PET, and initial disease staging. Two studies utilized PSMA-ligand agents, while the majority used [18F]FDG-based PET. Significant associations were found between baseline [18F]FDG uptake and molecular biomarkers such as PDL-1, androgen receptor, and Ki67. Baseline [18F]FDG PET led to the upstaging of patients from stage IIB to stage IV, influencing treatment decisions and survival outcomes. In the NAC setting, serial PET scans measuring changes in [18F]FDG uptake, indicated by maximum standardized uptake value (SUVmax), predicted pCR with varying cut-off values correlated with different response rates. Semiquantitative parameters such as metabolic tumor volume (MTV) and PET lung index were prognostic for metastatic disease.

CONCLUSIONS

In TNBC patients, [18F]FDG PET is essential for initial disease staging in both localized and metastatic settings. It is also useful for assessing treatment response to NAC. The ability of PET to correlate metabolic activity with molecular markers and predict treatment outcomes highlights its potential in TNBC management. Further prospective studies are needed to refine these clinical indications and establish its definitive role.

Overall Survival with Pembrolizumab in Early-Stage Triple-Negative Breast Cancer

BACKGROUND

In patients with early-stage triple-negative breast cancer, the phase 3 KEYNOTE-522 trial showed significant improvements in pathological complete response and event-free survival with the addition of pembrolizumab to platinum-containing chemotherapy. Here we report the final results for overall survival.

METHODS

We randomly assigned, in a 2:1 ratio, patients with previously untreated stage II or III triple-negative breast cancer to receive neoadjuvant therapy with four cycles of pembrolizumab (at a dose of 200 mg) or placebo every 3 weeks plus paclitaxel and carboplatin, followed by four cycles of pembrolizumab or placebo plus doxorubicin-cyclophosphamide or epirubicin-cyclophosphamide. After definitive surgery, patients received adjuvant pembrolizumab (pembrolizumab-chemotherapy group) or placebo (placebo-chemotherapy group) every 3 weeks for up to nine cycles. The primary end points were pathological complete response and event-free survival. Overall survival was a secondary end point.

RESULTS

Of the 1174 patients who underwent randomization, 784 were assigned to the pembrolizumab-chemotherapy group and 390 to the placebo-chemotherapy group. At the data-cutoff date (March 22, 2024), the median follow-up was 75.1 months (range, 65.9 to 84.0). The estimated overall survival at 60 months was 86.6% (95% confidence interval [CI], 84.0 to 88.8) in the pembrolizumab-chemotherapy group, as compared with 81.7% (95% CI, 77.5 to 85.2) in the placebo-chemotherapy group (P = 0.002). Adverse events were consistent with the established safety profiles of pembrolizumab and chemotherapy.

CONCLUSIONS

Neoadjuvant pembrolizumab plus chemotherapy followed by adjuvant pembrolizumab resulted in a significant improvement, as compared with neoadjuvant chemotherapy alone, in overall survival among patients with early-stage triple-negative breast cancer. (Funded by Merck Sharp and Dohme, a subsidiary of Merck [Rahway, NJ]; KEYNOTE-522 ClinicalTrials.gov number, NCT03036488.).

The Role of the NOLUS Score in Predicting pCR and iDFS in HR-positive HER2-negative Early Breast Cancer Patients who Received Neoadjuvant Chemotherapy

Background/Aim

Breast cancer remains a significant health challenge, with neoadjuvant chemotherapy (NACT) improving clinical outcomes in certain subtypes. However, the role of NACT in hormone receptor-positive, HER2-negative (HR+/HER2-) breast cancer is unclear due to various outcomes and generally low rates of pathologic complete response (pCR). This study introduces the Non-Luminal Disease Score (NOLUS) as a potential predictive tool for assessing the response to NACT in these cases.

Patients and Methods

We retrospectively assessed patients diagnosed with locally advanced HR+/HER2- breast cancer who received NACT at our institution from 2009 to 2023. The study explored the association between NOLUS and pCR rates. NOLUS was calculated as positive or negative based on the percentage of estrogen receptor, progesterone receptor, and Ki-67 in tumor cells. We also investigated the correlation between pCR and invasive disease-free survival (iDFS), and examined NOLUS positivity across different age groups.

Results

A total of 149 patients met the inclusion criteria. NOLUS-positive patients exhibited a significantly higher pCR rate of 33.33% compared to 10.4% in NOLUS-negative patients (p=0.0031). With a median follow-up of 2.47 years, NOLUS-positive patients who achieved pCR had a 100% iDFS rate, mirroring the pCR versus residual disease patterns seen in triple-negative patients. NOLUS positivity was observed in 20.43% of patients aged 22-50, compared to 8.93% in those over 50, though this difference was not statistically significant.

Conclusion

NOLUS exhibits potential in predicting pCR in HR+/HER2- breast cancer, serving as a cost-effective substitute for genomic tests.

Efficacy and safety of interim oncology treatments introduced for solid cancers during the COVID-19 pandemic in England: a retrospective evidence-based analysis

Background

The COVID-19 global pandemic placed unprecedented pressure on cancer services, requiring new interim Systemic Anti-Cancer Treatments (SACT) options to mitigate risks to patients and maintain cancer services. In this study we analyse interim COVID-19 SACT therapy options recommended in England, evaluating the evidence supporting inclusion and delineating how these have been integrated into routine cancer care.

Methods

We performed a retrospective analysis of interim Systemic Anti-Cancer Treatments endorsed by NHS England during the COVID-19 pandemic. Interim therapy options were compared to baseline (replacement) therapies by comparing data from the key pivotal trial(s) in terms of clinical efficacy and potential benefits (e.g., reduced immunosuppression or improved adverse effect profile) within the context of the pandemic. Furthermore, we evaluated the evolution of these interim SACT options, exploring if these have been integrated into current treatment pathways or are no longer accessible at the pandemic end.

Findings

31 interim oncology treatment options, across 36 indications, for solid cancers were endorsed by NHS England between March 2020 and August 2021. Interim therapies focused on the metastatic setting (83%; 30/36), allowing greater utilisation of immune checkpoint inhibitors (45%; 14/31) and targeted therapies (26%; 8/31), in place of cytotoxic chemotherapy. Overall, 36% (13/36) of therapies could not have efficacy compared with baseline treatments due to a paucity of evidence. For those which could, 39% (9/23) had superior efficacy (e.g., overall survival), 26% (6/23) had equivocal efficacy and 35% (8/23) lower efficacy. 53% (19/36) of interim therapies had better or equivocal toxicity profiles (when assessable), and/or were associated with reduced immunosuppression. Almost half (47%; 17/36) of interim therapies did not have UK market authorisation, being classified as 'off label' use. Analysing access to interim options at the end of the pandemic (May 2023) identified 19 (53% 19/36) interim options were fully available, and a further four (11% 4/36) therapies were partially available.

Interpretation

Interim SACT options, introduced in England, across a range of solid cancers supported delivery of cancer services during the pandemic. Most interim therapies did not demonstrate superior efficacy, but provided other important benefits (e.g., reduced immunosuppression) in the context of the pandemic.

Funding

None.

Development of predictive models for pathological response status in breast cancer after neoadjuvant therapy based on peripheral blood inflammatory indexes

BACKGROUND

Achieving a pathological complete response (pCR) after neoadjuvant therapy (NAT) is considered to be a critical factor for a favourable prognosis in breast cancer. However, discordant pathological complete response (DpCR), characterised by isolated responses in the breast or axillary, represents an intermediate pathological response category between no response and complete response. This study aims to investigate predictive factors and develop models based on peripheral blood inflammatory indexes to more accurately predict NAT outcomes.

METHOD

A total of 789 eligible patients were enrolled in this retrospective study. The patients were randomized into training and validation cohort according to a 7:3 ratio. Lasso and uni/multivariable logistic regression analysis were applied to identify the predictor variables. Two Nomograms combining clinico-pathologic features and peripheral blood inflammatory indexes were developed.

RESULT

Molecular Subtype, HALP, P53, and FAR were used to construct the predictive models for traditional non pCR (T-NpCR) and total-pCR (TpCR). The T-NpCR group was divided into DpCR and non pCR (NpCR) subgroups to construct a new model to more accurately predict NAT outcomes. cN, HALP, FAR, Molecular Subtype, and RMC were used to construct the predictive models for NpCR and DpCR. The receiver operating characteristic (ROC) curves indicate that the model exhibits robust predictive capacity. Clinical Impact Curves (CIC) and Decision Curve Analysis (DCA) indicate that the models present a superior clinical utility.

CONCLUSION

HALP and FAR were identified as peripheral blood inflammatory index predictors for accurately predicting NAT outcomes.

Neoadjuvant Pembrolizumab Plus Chemotherapy in Early-Stage Triple-Negative Breast Cancer: A Nationwide Retrospective Turkish Oncology Group Study

Background/Objectives: Following the results of the phase 3 KEYNOTE-522 trial, the U.S. Food and Drug Administration approved pembrolizumab, a humanized IgG4 kappa monoclonal antibody, in combination with neoadjuvant chemotherapy as a new standard of care for high-risk early-stage triple-negative breast cancer (TNBC). This retrospective, multicenter study in Türkiye assessed the real-world efficacy and safety of neoadjuvant pembrolizumab combined with chemotherapy in early-stage TNBC. Methods: The study included 108 patients treated between 2021 and 2023 across 14 oncology centers. Three distinct neoadjuvant regimens incorporating pembrolizumab were administered at the discretion of the treating physicians. The primary outcomes were the pathological complete response (pCR) rate after neoadjuvant therapy and the 2-year event-free survival (EFS) and overall survival (OS) rates. Results: The observed pCR rate was 63.9%, closely mirroring the 64.8% reported in the KEYNOTE-522 trial. At the two-year mark, the EFS rate was 87.2% and the OS rate was 92.3%. Multivariable analysis identified pCR as the sole independent predictor of both EFS and OS. The safety profile was consistent with previous clinical trial data, with most adverse events being of grade 1-2 in severity. Conclusions: These findings provide valuable real-world confirmation of the efficacy and safety of neoadjuvant pembrolizumab-chemotherapy in early-stage TNBC, complementing evidence from randomized trials.

Bedside implications of the use of surrogate endpoints in solid and haematological cancers: implications for our reliance on PFS, DFS, ORR, MRD and more

Clinical endpoints, such as overall survival, directly measure relevant outcomes. Surrogate endpoints, in contrast, are intermediate, stand-in measures of various tumour-related metrics and include tumour growth, tumour shrinkage, blood results, etc. Surrogates may be a time point measurement, that is, tumour shrinkage at some point (eg, response rate) or biomarker-assessed disease status, measured at given time points (eg, circulating tumour DNA, ctDNA). They can also be measured over time, as with progression-free survival, which is the time until a patient presents with either disease progression or death. Surrogates are increasingly used in trials supporting the marketing authorisation of novel oncology drugs. Yet, the trial-level correlation between surrogates and clinical endpoints-meaning to which extent an improvement in the surrogate predicts an improvement in the direct endpoint-is often moderate to low. Here, we provide a comprehensive classification of surrogate endpoints: time point measurements and time-to-event endpoints in solid and haematological malignancies. Also, we discuss an overlooked aspect of the use of surrogates: the limitations of surrogates outside trial settings, at the bedside. Surrogates can result in the inappropriate stopping or switching of therapy. Surrogates can be used to usher in new strategies (eg, ctDNA in adjuvant treatment of colon cancer), which may erode patient outcomes. In liquid malignancies, surrogates can mislead us to use novel drugs and replace proven standards of care with costly medications. Surrogates can lead one to intensify treatment without clear improvement and possibly worsening quality of life. Clinicians should be aware of the role of surrogates in the development and regulation of drugs and how their use can carry real-world, bedside implications.

Prognostic significance of a pathological response in metastatic lymph nodes of patients with gastric cancer who underwent neoadjuvant chemotherapy followed by surgery

PURPOSE

To grade the pathological response of lymph nodes (LNs) to neoadjuvant chemotherapy (NAC) in patients with locally advanced gastric cancer (LAGC) and investigate its prognostic significance.

METHODS

This retrospective study included 196 patients who underwent NAC, followed by radical gastrectomy for LAGC between January 2010 and October 2019. Pathological responses were evaluated based on the proportion of residual tumor cells within the tumor area in the primary tumor (PT) and LNs and included the following categories: 1a (0%), 1b (< 10%), 2 (10-50%), and 3 (> 50%).

RESULTS

Among 166 patients with clinically node-positive disease, 38/27/39/62 were classified as having LN regression grade (LRG) 1a/1b/2/3, respectively. Compared to LN non-responders (LRG 2 or 3), LN responders (LRG 1a or 1b) had significantly higher 5-year overall survival (72.5% vs. 19.0%, P < 0.001) and recurrence-free survival rates (67.8% vs. 22.2%, P < 0.001), irrespective of PT response. Furthermore, a multivariate analysis revealed that the LN response was an independent risk factor for the overall survival (hazard ratio [HR] 0.417, 95% confidence interval [CI] 0.181-0.962, P = 0.040) and recurrence-free survival (HR 0.490, 95% CI 0.242-0.991, P = 0.047), but not the PT response (P > 0.05).

CONCLUSIONS

The pathological LN response may be a reliable prognostic prediction tool in patients with LAGC who received NAC.

Determining individual suitability for neoadjuvant systemic therapy in breast cancer patients through deep learning

BACKGROUND

The survival advantage of neoadjuvant systemic therapy (NST) for breast cancer patients remains controversial, especially when considering the heterogeneous characteristics of individual patients.

OBJECTIVE

To discern the variability in responses to breast cancer treatment at the individual level and propose personalized treatment recommendations utilizing deep learning (DL).

METHODS

Six models were developed to offer individualized treatment suggestions. Outcomes for patients whose actual treatments aligned with model recommendations were compared to those whose did not. The influence of certain baseline features of patients on NST selection was visualized and quantified by multivariate logistic regression and Poisson regression analyses.

RESULTS

Our study included 94,487 female breast cancer patients. The Balanced Individual Treatment Effect for Survival data (BITES) model outperformed other models in performance, showing a statistically significant protective effect with inverse probability treatment weighting (IPTW)-adjusted baseline features [IPTW-adjusted hazard ratio: 0.51, 95% confidence interval (CI), 0.41-0.64; IPTW-adjusted risk difference: 21.46, 95% CI 18.90-24.01; IPTW-adjusted difference in restricted mean survival time: 21.51, 95% CI 19.37-23.80]. Adherence to BITES recommendations is associated with reduced breast cancer mortality and fewer adverse effects. BITES suggests that patients with TNM stage IIB, IIIB, triple-negative subtype, a higher number of positive axillary lymph nodes, and larger tumors are most likely to benefit from NST.

CONCLUSIONS

Our results demonstrated the potential of BITES to aid in clinical treatment decisions and offer quantitative treatment insights. In our further research, these models should be validated in clinical settings and additional patient features as well as outcome measures should be studied in depth.

Pathologic Complete Response After Neoadjuvant Chemotherapy in Breast Cancer Patients Treated With Mastectomy: Indications for Treatment and Oncological Outcomes

Objective

The aim of this study was to evaluate the clinical outcomes of breast cancer (BC) patients treated with neoadjuvant chemotherapy (NAC) followed by mastectomy, focusing on cases achieving pathologic complete response (pCR). The implications of residual ductal carcinoma in situ (DCIS) on prognosis and survival were examined.

Materials and Methods

A retrospective cohort study included BC patients treated with NAC followed by mastectomy at the breast unit of IRCCS Humanitas Research Hospital between March 2010 and October 2021. Patients were sub-grouped into two: Those with residual DCIS (ypTis) and those with complete response without residual tumor (ypT0). Key variables such as demographics, tumor characteristics, treatment regimens, and survival outcomes were analyzed.

Results

Of 681 patients treated with NAC, 175 achieved pCR, with 60 undergoing mastectomy. Among these 60 patients, 24 had residual DCIS (ypTis) while 36 had no residual invasive or in situ disease (ypT0). Patients with ypTis had higher rates of multifocal disease (62.5% vs. 27.8%, p = 0.006) and stage III disease (37.5% vs. 11.1%, p = 0.046). Triple-negative breast cancer was more prevalent in the ypT0 group (55.6% vs. 20.8%, p = 0.005). During a mean follow-up of 47 months, 11 patients experienced recurrence, with no significant differences in disease-free survival (DFS) and overall survival (OS) between the groups (p = 0.781, p = 0.963, respectively).

Conclusion

Residual DCIS after NAC did not significantly impact DFS or OS compared to complete pathologic response without residual DCIS. This study underscores the need for further research to refine pCR definitions and improve NAC's prognostic and therapeutic roles in BC management.

Surgery paradigm for locally advanced breast cancer following neoadjuvant systemic therapy

Locally advanced breast cancer (LABC) remains a significant clinical challenge, particularly in developing countries. While neoadjuvant systemic therapy (NST) has improved the pathological complete response (pCR) rates, particularly in HER2-positive and triple-negative breast cancer patients, surgical management post-NST continues to evolve. The feasibility of omitting surgery and the increasing consideration of breast-conserving surgery, immediate reconstruction in LABC patients are important areas of exploration. Accurate assessment of tumor response to NST through advanced imaging and minimally invasive biopsies remains pivotal, though challenges persist in reliably predicting pCR. Additionally, axillary lymph node management continues to evolve, with emerging strategies aiming to minimize the extent of surgery in patients who achieve nodal downstaging post-NST. Minimizing axillary lymph node dissection in favor of less invasive approaches is gaining attention, though further evidence is needed to establish its oncological safety. The potential for personalized treatment approaches, reducing surgical morbidity, and improving quality of life are key goals in managing LABC, while maintaining the priority of achieving favorable long-term outcomes.

Pyrotinib and Trastuzumab Plus Chemotherapy Serve as an Acceptable Neoadjuvant Regimen Exhibiting Good Efficacy and Tolerance in HER2-Positive Breast Cancer Patients

Objective: Pyrotinib, a new irreversible dual pan-human epidermal growth factor receptor 2 (HER2) receptor tyrosine kinase inhibitor blocking EGFR and HER2, has achieved a promising efficacy for advanced HER2-positive (HER2+) breast cancer. This study intended to further investigate the efficacy and safety of neoadjuvant pyrotinib and trastuzumab plus chemotherapy for HER2+ breast cancer treatment. Methods: Thirty-eight HER2+ breast cancer patients who received neoadjuvant pyrotinib and trastuzumab plus chemotherapy (docetaxel and carboplatin) were retrospectively reviewed. Clinical response by Response Evaluation Criteria in Solid Tumors (RECIST), pathological complete response (pCR), and adverse events data was retrieved. Results: According to the RECIST, the complete response rate was 0.0%, 10.5%, and 15.8% after second-cycle, fourth-cycle, and sixth-cycle therapy, respectively; whereas the objective response rate was 76.3%, 92.1%, and 100.0%, accordingly. The total pCR (tpCR) rate was 52.6%, the pCR rate of the breast was also 52.6%, and the pCR rate of lymph nodes was 86.8%. The tpCR rate was lower in patients with HER2 immunohistochemistry (IHC)++ and amplification by fluorescent in situ hybridization (FISH) than in those with HER2 IHC+++ (14.3% vs. 61.3%, p = 0.024), which was also lower in patients with Ki-67 expression ≥30% than in those with Ki-67 expression <30% (40.0% vs. 76.9%, p = 0.031). The common adverse events included diarrhea (84.2%), anemia (73.7%), nausea and vomiting (63.2%), fatigue (50.0%), hypomagnesemia (44.7%), leukopenia (42.1%), thrombocytopenia (39.5%), elevated transaminase (36.8%), and pruritus (31.6%). Conclusions: Pyrotinib and trastuzumab plus chemotherapy serve as an acceptable neoadjuvant regimen exhibiting good efficacy and tolerance in HER2+ breast cancer patients, while further large-scale validation is warranted.

Optimizing Postneoadjuvant Treatment in Patients With Early Breast Cancer Achieving Pathologic Complete Response

pCR should be integrated with other prognostic factors to optimize postneoadjuvant treatments in BC.

Breast Cancer Patient's Outcomes after Neoadjuvant Chemotherapy and Surgery at 5 and 10 Years for Stage II-III Disease

Introduction: Neoadjuvant chemotherapy in breast cancer offers the possibility to facilitate breast and axillary surgery; it is a test of chemosensibility in vivo with significant prognostic value and may be used to tailor adjuvant treatment according to the response. Material and Methods: A retrospective single-institution cohort of 482 stage II and III breast cancer patients treated with neoadjuvant chemotherapy based on anthracycline and taxans, plus antiHEr2 in Her2-positive cases, was studied. Survival was calculated at 5 and 10 years. Kaplan-Meier curves with a log-rank test were calculated for differences according to age, BRCA status, menopausal status, TNM, pathological and molecular surrogate subtype, 20% TIL cut-off, surgical procedure, response to chemotherapy and the presence of vascular invasion. Results: The pCR rate was 25.3% and was greater in HER2 (51.3%) and TNBC (31.7%) and in BRCA carriers (41.9%). The factors independently related to patient survival were pathology and molecular surrogate subtype, type of surgery, response to NACT and vascular invasion. BRCA status was a protective prognostic factor without reaching statistical significance, with an HR 0.5 (95%CI 0.1-1.4). Mastectomy presented a double risk of distant recurrence compared to breast-conservative surgery (BCS), supporting BCS as a safe option after NACT. After a mean follow-up of 126 (SD 43) months, luminal tumors presented a substantial difference in survival rates calculated at 5 or 10 years (81.2% compared to 74.7%), whereas that for TNBC was 75.3 and 73.5, respectively. The greatest difference was seen according to the response in patients with pCR, who exhibited a 10 years DDFS of 95.5% vs. 72.4% for those patients without pCR, p < 0001. This difference was especially meaningful in TNBC: the 10 years DDFS according to an RCB of 0 to 3 was 100%, 80.6%, 69% and 49.2%, respectively, p < 0001. Patients with a particularly poor prognosis were those with lobular carcinomas, with a 10 years DDFS of 42.9% vs. 79.7% for ductal carcinomas, p = 0.001, and patients with vascular invasion at the surgical specimen, with a 10 years DDFS of 59.2% vs. 83.6% for those patients without vascular invasion, p < 0.001. Remarkably, BRCA carriers presented a longer survival, with an estimated 10 years DDFS of 89.6% vs. 77.2% for non-carriers, p = 0.054. Conclusions: Long-term outcomes after neoadjuvant chemotherapy can help patients and clinicians make well-informed decisions.

Pathological and clinical outcomes following neoadjuvant dual HER2 therapy for early-stage breast cancer: An Australian institutional real-world experience

AIM

There has been significant progress made in developing novel targeted therapies in the neoadjuvant setting for non-metastatic HER2-positive breast cancer, which may be used in combination with conventional chemotherapy to optimise pathological responses at surgery. However, these therapies, particularly the chemotherapeutic components, may portend significant and long-lasting toxicity. Hence, de-escalation of treatment intensity has been an area of interest and was evaluated in the phase II NeoSphere study. Herein, we report the real-world pathological and survival outcomes from neoadjuvant taxane and dual HER2 blockade recorded at our centre.

METHODS

This was a retrospective cohort study of patients receiving neoadjuvant pertuzumab, trastuzumab and taxane chemotherapy for non-metastatic HER2-positive breast cancer at a single centre in Sydney, Australia. We collected data pertaining to baseline demographic characteristics, pathological response rates, post-surgical prescribing patterns and also undertook survival analyses for invasive disease-free survival (iDFS) as well as exploratory analyses for correlations between pre-specified clinicopathologic factors and pathological response at surgery.

RESULTS

Our population was largely similar at baseline to the NeoSphere study. 71 patients were included in the final analysis. 61% achieved a pathological complete response (pCR). Three patients received conventional chemotherapy in the adjuvant setting. 92% of included patients were alive and disease-free at 3 years of follow-up. Only 3 events of recurrence or death were recorded at a median follow-up of 32 months. No significant difference in iDFS was noted between patients achieving pCR and those with residual disease at surgery.

CONCLUSION

This study demonstrates that de-escalated adjuvant treatment for HER2-positive early breast cancer achieved favourable pathological and long-term outcomes comparable to large trials, some utilising more intensive chemotherapeutic components.

Association of pathological response with long-term survival outcomes after neoadjuvant immunotherapy: A meta-analysis

BACKGROUND

Complete pathological response (pCR) and major pathological response (MPR) have been proven to have a close association with improved event-free survival (EFS) and overall survival (OS) for patients accepting chemotherapy or chemoradiotherapy. However, further study focusing on neoadjuvant immunotherapy is limited. Here we provided an updated and comprehensive evaluation of the association between pathological response and long-term survival outcomes at patient level and trial level for neoadjuvant immunotherapy.

METHODS

We systematically searched and assessed studies in PubMed, Embase, the Cochrane Library and relevant conference abstracts from inception to June 1, 2023. Studies reported EFS/OS results by pCR/MPR status were eligible.

RESULTS

Forty-three studies comprising a total of 4100 patients were eligible for the analysis, which included 39 studies for the patient-level analysis and 5 randomized controlled trials for the trial-level analysis. Our results highlighted that pCR was associated with improved EFS (HR, 0.48 [95 % CI, 0.39-0.60]) and OS (HR, 0.55 [95 % CI, 0.41-0.74]). The magnitude of HRs by MPR status were similar to the results by pCR status (EFS HR, 0.31 [95 % CI, 0.18-0.53]) and OS HR, 0.43 [95 % CI, 0.19-0.96]). However, no association between pCR and EFS at trial level was found (P = 0.8, R2 = 0).

CONCLUSION

Our meta-analysis demonstrates a strong association between pathological response and long-term survival outcomes at patient level across studies applying neoadjuvant immunotherapy in most solid tumors but we fail to validate the relationship at trial level. Therefore, an accepted surrogate endpoint applied to both patient and trial levels are waited for further search.

Increased blood draws for ultrasensitive ctDNA and CTCs detection in early breast cancer patients

Early breast cancer patients often experience relapse due to residual disease after treatment. Liquid biopsy is a methodology capable of detecting tumor components in blood, but low concentrations at early stages pose challenges. To detect them, next-generation sequencing has promise but entails complex processes. Exploring larger blood volumes could overcome detection limitations. Herein, a total of 282 high-volume plasma and blood-cell samples were collected for dual ctDNA/CTCs detection using a single droplet-digital PCR assay per patient. ctDNA and/or CTCs were detected in 100% of pre-treatment samples. On the other hand, post-treatment positive samples exhibited a minimum variant allele frequency of 0.003% for ctDNA and minimum cell number of 0.069 CTCs/mL of blood, surpassing previous investigations. Accurate prediction of residual disease before surgery was achieved in patients without a complete pathological response. A model utilizing ctDNA dynamics achieved an area under the ROC curve of 0.92 for predicting response. We detected disease recurrence in blood in the three patients who experienced a relapse, anticipating clinical relapse by 34.61, 9.10, and 7.59 months. This methodology provides an easily implemented alternative for ultrasensitive residual disease detection in early breast cancer patients.

Organoid forming potential as complementary parameter for accurate evaluation of breast cancer neoadjuvant therapeutic efficacy

BACKGROUND

13-15% of breast cancer/BC patients diagnosed as pathological complete response/pCR after neoadjuvant systemic therapy/NST suffer from recurrence. This study aims to estimate the rationality of organoid forming potential/OFP for more accurate evaluation of NST efficacy.

METHODS

OFPs of post-NST residual disease/RD were checked and compared with clinical approaches to estimate the recurrence risk. The phenotypes of organoids were classified via HE staining and ER, PR, HER2, Ki67 and CD133 immuno-labeling. The active growing organoids were subjected to drug sensitivity tests.

RESULTS

Of 62 post-NST BC specimens, 24 were classified as OFP-I with long-term active organoid growth, 19 as OFP-II with stable organoid growth within 3 weeks, and 19 as OFP-III without organoid formation. Residual tumors were overall correlated with OFP grades (P < 0.001), while 3 of the 18 patients (16.67%) pathologically diagnosed as tumor-free (ypT0N0M0) showed tumor derived-organoid formation. The disease-free survival/DFS of OFP-I cases was worse than other two groups (Log-rank P < 0.05). Organoids of OFP-I/-II groups well maintained the biological features of their parental tumors and were resistant to the drugs used in NST.

CONCLUSIONS

The OFP would be a complementary parameter to improve the evaluation accuracy of NST efficacy of breast cancers.

Facts and Hopes in Neoadjuvant Immunotherapy: Current Approvals and Emerging Evidence

In 2021 and 2022, two immune checkpoint inhibitors received FDA approval in the neoadjuvant setting for the treatment of early-stage triple negative breast cancer (TNBC) and non-small cell lung cancer (NSCLC). Several more studies have since indicated the benefits, and challenges, of administering neoadjuvant immunotherapy prior to definitive surgery in the gastrointestinal, head and neck, and cutaneous realms. In addition, numerous ongoing phase II and phase III trials are investigating outcomes of neoadjuvant immune treatment in early-stage disease. As such, it is anticipated that more immune checkpoint inhibitors will receive approval for various neoadjuvant indications in the next several years. Medical oncologists, surgeons, and other providers in a multidisciplinary cancer care team will be presented with alternate treatment paradigms and clinical decisions regarding upfront surgery versus neoadjuvant treatment. Here, we describe the current evidence supporting use of immune checkpoint inhibitors for neoadjuvant treatment, ongoing studies, and clinical considerations of this treatment approach.

Fine-Tuning Adjuvant Endocrine Therapy for Early-Stage Breast Cancer: An Expert Consensus on Open Issues for Future Research

After decades of research, improving the efficacy of adjuvant endocrine therapy (ET) for early-stage breast cancer becomes increasingly difficult. Beyond technological breakthroughs and the availability of new classes of drugs, further improvement of adjuvant ET will require applying a rigorous research approach in poorly investigated areas. We critically discuss some key principles that should inform future research to improve ET efficacy, including identifying specific subgroups of patients who can benefit from escalating or de-escalating approaches, optimizing available and new treatment strategies for different clinical contexts, and dissecting the direct and indirect biological effects of therapeutic interventions. Four main issues regarding adjuvant ET were identified as relevant areas, where a better application of such principles can provide positive results in the near future: (i) tailoring the optimal duration of adjuvant ET, (ii) optimizing ovarian function suppression for premenopausal women, (iii) dissecting the biological effects of estrogen receptor manipulation, and (iv) refining the selection of patients to candidate for treatments escalation.

"Heterogeneity of treatment effect on patients' long-term outcome according to pathological response type in neoadjuvant RCTs for breast cancer."

INTRODUCTION

To provide evidence explaining the poor association between pCR and patients' long-term outcome at trial-level in neoadjuvant RCTs for breast cancer (BC), we performed a systematic-review and meta-analysis of all RCTs testing neoadjuvant treatments for early-BC and reporting the hazard ratio of DFS (HRDFS) for the intervention versus control arm stratified by pathological response type (i.e., pCR yes versus no).

METHODS

The objective was to explore differences of treatment effects on DFS across patients with and without pCR. We calculated the pooled HRDFS in the two strata of pathological response (i.e., pCR yes versus no) using a random-effects model, and assessed the difference between these two estimates using an interaction test.

RESULTS

Ten RCTs and 8496 patients were included in the analysis. Patients obtaining pCR in the intervention-arm had a higher, although not statistically significant, risk of DFS-event as compared with patients obtaining pCR in the control-arm: the pooled HRDFS for the experimental versus control arm was 1.23 (95%CI, 0.91-1.65). On the opposite, the risk of DFS-event was higher for control as compared with the intervention-arm in the stratum of patients without pCR: the pooled HRDFS was 0.86 (95%CI, 0.78-0.95). Treatment effect on DFS was significantly different according to pathological response type (interaction test p: 0.014).

CONCLUSION

We reported new evidence that contributes to explaining the poor surrogacy value of pCR at trial-level in neoadjuvant RCTs for early-BC.

Neoadjuvant therapy in hormone Receptor-Positive/HER2-Negative breast cancer

Neoadjuvant therapy is commonly used in patients with locally advanced or inoperable breast cancer (BC). Neoadjuvant chemotherapy (NACT) represents an established treatment modality able to downstage tumours, facilitate breast-conserving surgery, yet also achieve considerable pathologic complete response (pCR) rates in HER2-positive and triple-negative BC. For patients with HR+/HER2- BC, the choice between NACT and neoadjuvant endocrine therapy (NET) is still based on clinical and pathological features and not guided by biomarkers of defined clinical utility, differently from the adjuvant setting where gene-expression signatures have been widely adopted to drive decision-making. In this review, we summarize the evidence supporting the choice of NACT vs NET in HR+/HER2- BC, discussing the issues surrounding clinical trial design and proper selection of patients for every treatment. It is time to question the binary paradigm of responder vs non-responders as well as the "one size fits all" approach in luminal BC, supporting the utilization of continuous endpoints and the adoption of tissue and plasma-based biomarkers at multiple timepoints. This will eventually unleash the full potential of neoadjuvant therapy which is to modulate patient treatment based on treatment sensitivity and surgical outcomes. We also reviewed the current landscape of neoadjuvant studies for HR+/HER2- BC, focusing on antibody-drug conjugates (ADCs) and immunotherapy combinations. Finally, we proposed a roadmap for future neoadjuvant approaches in HR+/HER2- BC, which should be based on a staggered biomarker-driven treatment selection aiming at impacting long-term relevant endpoints.

Neoadjuvant camrelizumab and apatinib combined with chemotherapy versus chemotherapy alone for locally advanced gastric cancer: a multicenter randomized phase 2 trial

Prospective evidence regarding the combination of programmed cell death (PD)-1 and angiogenesis inhibitors in treating locally advanced gastric cancer (LAGC) is limited. In this multicenter, randomized, phase 2 trial (NCT04195828), patients with gastric adenocarcinoma (clinical T2-4N + M0) were randomly assigned (1:1) to receive neoadjuvant camrelizumab and apatinib combined with nab-paclitaxel plus S-1 (CA-SAP) or chemotherapy SAP alone (SAP) for 3 cycles. The primary endpoint was the major pathological response (MPR), defined as <10% residual tumor cells in resection specimens. Secondary endpoints included R0 resection rate, radiologic response, safety, overall survival, and progression-free survival. The modified intention-to-treat population was analyzed (CA-SAP [n = 51] versus SAP [n = 53]). The trial has met pre-specified endpoints. CA-SAP was associated with a significantly higher MPR rate (33.3%) than SAP (17.0%, P = 0.044). The CA-SAP group had a significantly higher objective response rate (66.0% versus 43.4%, P = 0.017) and R0 resection rate (94.1% versus 81.1%, P = 0.042) than the SAP group. Nonsurgical grade 3-4 adverse events were observed in 17 patients (33.3%) in the CA-SAP group and 14 (26.4%) in the SAP group. Survival results were not reported due to immature data. Camrelizumab and apatinib combined with chemotherapy as a neoadjuvant regimen was tolerable and associated with favorable responses for LAGC.

Long-Term Outcomes and Predictors of Response in Breast Cancer Patients with Advanced Nodal Involvement

BACKGROUND

Advanced nodal disease is associated with poor prognosis. However, modern neoadjuvant systemic therapy (NST) regimens have resulted in higher pathologic complete response (pCR) rates, which are associated with improved survival. We sought to assess contemporary outcomes in patients with advanced nodal involvement and response to NST.

STUDY DESIGN

We conducted a single-institution, retrospective study of 521 patients with cN2-3 primary nonmetastatic breast cancer treated with NST followed by surgery and radiation from 2012 to 2018. Descriptive statistics, multivariate Cox regression, and Kaplan-Meier analyses were performed.

RESULTS

The mean age was 50.5 years, and median follow-up was 61 (4.7 to 197) months. The majority of patients had hormone receptor-positive (HR+)/HER2-negative tumors (HER2-; n = 242, 47.8%). Most were cT2 (n = 243; 46.6%) or cT3 (n = 139; 26.7%) and 73.3% (n = 382) had cN3 disease. Rate of axillary pCR was 34.2%, and breast and axillary pCR was 19.4% (n = 101). Event-free survival (EFS) at 5 years was 75.1% (95% CI, 0.71 to 0.79). Rate of locoregional recurrence was 6.7%; distant metastatic rate was 29.4%. Axillary pCR with or without breast pCR was significantly associated with longer EFS (p = 0.001). Achieving breast/axillary pCR was an independent predictor of improved EFS (hazard ratio 0.22, p < 0.0001). Having triple-negative disease was associated with worse EFS (hazard ratio 1.74, p = 0.008).

CONCLUSIONS

In a high-risk cohort of patients with cN2-3 disease, trimodality therapy was effective in achieving durable EFS. Approximately one-third of patients achieved axillary pCR, which was associated with improved survival. Further studies are needed to accurately determine axillary response in cN2-3 breast cancer after NST in order to develop de-escalation strategies to reduce morbidity associated with axillary surgery.

Treatment utilization and effectiveness of neoadjuvant chemotherapy comparing men and women diagnosed with breast cancer: a Swedish retrospective cohort study

PURPOSE

Evidence supporting the use of neoadjuvant chemotherapy (NAC) in early breast cancer is based on studies mainly including women, whereas the utilization and effectiveness of NAC in men is less studied. The present study aimed to investigate the utilization and effectiveness of NAC in men and women with early breast cancer.

METHODS

Eligible patients were identified through the Swedish National Breast Cancer Quality Register, that includes all newly diagnosed breast cancer cases in Sweden from 2008 and onwards. For the treatment utilization analysis, all patients with stage I-III between 2008 and 2020 were included (n = 82,888), whereas for the effectiveness analysis the cohort was restricted to patients receiving NAC (n = 6487). For both analyses, multivariate logistic regression models were applied to investigate potential sex disparities in NAC utilization and effectiveness, adjusted for patient- and tumor characteristics.

RESULTS

In the NAC utilization analysis, 487 men and 82,401 women with stage I-III were included. No statistically significant difference between sexes in terms of NAC utilization was observed (adjusted Odds Ratio (adjOR): 1.135; 95% Confidence Interval (CI) 0.606-2.128) with an overall utilization rate of 4.9% in men compared to 7.8% in women. Among the 24 men and 6463 women who received NAC, the pathologic complete response (pCR) rates were 16.7% and 21.2%, respectively (adjOR: 1.141; 95% CI 0.141-9.238).

CONCLUSION

The present study did not find any sex disparities in NAC utilization or effectiveness in terms of pCR. This supports the current recommendations of treating men with breast cancer with the same indications for NAC as women.

Time to deterioration of patient-reported outcomes as a surrogate of overall survival: a meta-analysis

BACKGROUND

Overall survival is the optimal marker of treatment efficacy in randomized clinical trials (RCTs) but can take considerable time to mature. Progression-free survival (PFS) has served as an early surrogate of overall survival but is imperfect. Time to deterioration in quality of life (QOL) measures could be a surrogate for overall survival.

METHODS

Phase 3 RCTs in solid malignancies that reported overall survival, PFS, and time to deterioration in QOL or physical function published between January 1, 2010, and June 30, 2022, were evaluated. Weighted regression analysis was used to assess the relationship between PFS, time to deterioration in QOL, and time to deterioration in physical function with overall survival. The coefficient of determination (R2) was used to quantify surrogacy.

RESULTS

In total, 138 phase 3 RCTs were included. Of these, 47 trials evaluated immune checkpoint inhibitors and 91 investigated non-immune checkpoint inhibitor agents. Time to deterioration in QOL (137 RCTs) and time to deterioration in physical function (75 RCTs) performed similarly to PFS as surrogates for overall survival (R2 = 0.18 vs R2 = 0.19 and R2 = 0.10 vs R2 = 0.09, respectively). For immune checkpoint inhibitor studies, time to deterioration in physical function had a higher association with overall survival than with PFS (R2 = 0.38 vs R2 = 0.19), and PFS and time to deterioration in physical function did not correlate with each other (R2 = 0). When time to deterioration in physical function and PFS are used together, the coefficient of determination increased (R2 = 0.57).

CONCLUSIONS

Time to deterioration in physical function appears to be an overall survival surrogate measure of particular importance for immune checkpoint inhibitor treatment efficacy. The combination of time to deterioration in physical function with PFS may enable better prediction of overall survival treatment benefit in RCTs of immune checkpoint inhibitors than either PFS or time to deterioration in physical function alone.

Validity of Using Pathological Response as a Surrogate for Overall Survival in Neoadjuvant Studies for Esophageal Cancer: A Systematic Review and Meta-analysis

BACKGROUND

Pathological response is a critical factor in predicting long-term survival of patients with esophageal cancer after preoperative therapy. However, the validity of using pathological response as a surrogate for overall survival (OS) for esophageal cancer has not yet been established. In this study, a literature-based meta-analysis was conducted to evaluate pathological response as a proxy endpoint for survival in esophageal cancer.

METHODS

Three databases were systematically searched to identify relevant studies investigating neoadjuvant treatment for esophageal cancer. The correlation between pathological complete response (pCR) and OS were assessed using a weighted multiple regression analysis at the trial level, and the coefficient of determination (R2) was calculated. The research design and histological subtypes were considered in the performance of subgroup analysis.

RESULTS

In this meta-analysis, a total of 40 trials, comprising 43 comparisons and 55,344 patients were qualified. The surrogacy between pCR and OS was moderate (R2 = 0.238 in direct comparison, R2 = 0.500 for pCR reciprocals, R2 = 0.541 in log settings). pCR could not serve as an ideal surrogate endpoint in randomized controlled trials (RCTs) (R2 = 0.511 in direct comparison, R2 = 0.460 for pCR reciprocals, R2 = 0.523 in log settings). A strong correlation was observed in studies comparing neoadjuvant chemoradiotherapy and neoadjuvant chemotherapy (R2 = 0.595 in direct comparison, R2 = 0.840 for pCR reciprocals, R2 = 0.800 in log settings).

CONCLUSIONS

A lack of surrogacy of pathological response for long-term survival at trial level is established in this study. Hence, caution should be exercised when using pCR as the primary endpoint in neoadjuvant studies for esophageal cancer.

[18F]FDG PET/CT for predicting triple-negative breast cancer outcomes after neoadjuvant chemotherapy with or without pembrolizumab

PURPOSE

To determine if pretreatment [18F]FDG PET/CT could contribute to predicting complete pathological complete response (pCR) in patients with early-stage triple-negative breast cancer (TNBC) undergoing neoadjuvant chemotherapy with or without pembrolizumab.

METHODS

In this retrospective bicentric study, we included TNBC patients who underwent [18F]FDG PET/CT before neoadjuvant chemotherapy (NAC) or chemo-immunotherapy (NACI) between March 2017 and August 2022. Clinical, biological, and pathological data were collected. Tumor SUVmax and total metabolic tumor volume (TMTV) were measured from the PET images. Cut-off values were determined using ROC curves and a multivariable model was developed using logistic regression to predict pCR.

RESULTS

N = 191 patients were included. pCR rates were 53 and 70% in patients treated with NAC (N = 91) and NACI (N = 100), respectively (p < 0.01). In univariable analysis, high Ki67, high tumor SUVmax (> 12.3), and low TMTV (≤ 3.0 cm3) were predictors of pCR in the NAC cohort while tumor staging classification (< T3), BRCA1/2 germline mutation, high tumor SUVmax (> 17.2), and low TMTV (≤ 7.3 cm3) correlated with pCR in the NACI cohort. In multivariable analysis, only high tumor SUVmax (NAC: OR 8.8, p < 0.01; NACI: OR 3.7, p = 0.02) and low TMTV (NAC: OR 6.6, p < 0.01; NACI: OR 3.5, p = 0.03) were independent factors for pCR in both cohorts, albeit at different thresholds.

CONCLUSION

High tumor metabolism (SUVmax) and low tumor burden (TMTV) could predict pCR after NAC regardless of the addition of pembrolizumab. Further studies are warranted to validate such findings and determine how these biomarkers could be used to guide neoadjuvant therapy in TNBC patients.

Neoadjuvant chemotherapy for breast cancer: an evaluation of its efficacy and research progress

Neoadjuvant chemotherapy (NAC) for breast cancer is widely used in the clinical setting to improve the chance of surgery, breast conservation and quality of life for patients with advanced breast cancer. A more accurate efficacy evaluation system is important for the decision of surgery timing and chemotherapy regimen implementation. However, current methods, encompassing imaging techniques such as ultrasound and MRI, along with non-imaging approaches like pathological evaluations, often fall short in accurately depicting the therapeutic effects of NAC. Imaging techniques are subjective and only reflect macroscopic morphological changes, while pathological evaluation is the gold standard for efficacy assessment but has the disadvantage of delayed results. In an effort to identify assessment methods that align more closely with real-world clinical demands, this paper provides an in-depth exploration of the principles and clinical applications of various assessment approaches in the neoadjuvant chemotherapy process.

PTCH1 and CTNNB1 emerge as pivotal predictors of resistance to neoadjuvant chemotherapy in ER+/HER2- breast cancer

Introduction

Endeavors in the molecular characterization of breast cancer opened the doors to endocrine therapies in ER+/HER2- breast cancer, increasing response rates substantially. Despite that, taxane-based neoadjuvant chemotherapy is still a cornerstone for achieving breast-conserving surgery and complete tumor resection in locally advanced cancers with high recurrence risk. Nonetheless, the rate of chemoresistance is high, and deselecting patients who will not benefit from chemotherapy is a significant task to prevent futile toxicities. Several multigene assays are being used to guide decisions on chemotherapy. However, their development as prognostic assays but not predictive assays limits predictive strength, leading to discordant results. Moreover, high costs impediment their use in developing countries. For global health equity, robust predictors that can be cost-effectively incorporated into routine clinical management are essential.

Methods

In this study, we comprehensively analyzed 5 GEO datasets, 2 validation sets, and The Cancer Genome Atlas breast cancer data to identify predictors of resistance to taxane-based neoadjuvant therapy in ER+/HER2- breast cancer using efficient bioinformatics algorithms.

Results

Gene expression and gene set enrichment analysis of 5 GEO datasets revealed the upregulation of 63 genes and the enrichment of CTNNB1-related oncogenic signatures in non-responsive patients. We validated the upregulation and predictive strength of 18 genes associated with resistance in the validation cohort, all exhibiting higher predictive powers for residual disease and higher specificities for ER+/HER2- breast cancers compared to one of the benchmark multi-gene assays. Cox Proportional Hazards Regression in three different treatment arms (neoadjuvant chemotherapy, endocrine therapy, and no systemic treatment) in a second comprehensive validation cohort strengthened the significance of PTCH1 and CTNNB1 as key predictors, with hazard ratios over 1.5, and 1.6 respectively in the univariate and multivariate models.

Discussion

Our results strongly suggest that PTCH1 and CTNNB1 can be used as robust and cost-effective predictors in developing countries to guide decisions on chemotherapy in ER +/HER2- breast cancer patients with a high risk of recurrence. The dual function of PTCH1 as a multidrug efflux pump and a hedgehog receptor, and the active involvement of CTNNB1 in breast cancer strongly indicate that PTCH1 and CTNNB1 can be potential drug targets to overcome chemoresistance in ER +/HER2- breast cancer patients.

Neoadjuvant sintilimab in combination with concurrent chemoradiotherapy for locally advanced gastric or gastroesophageal junction adenocarcinoma: a single-arm phase 2 trial

In this multicenter, single-arm phase 2 trial (ChiCTR1900024428), patients with locally advanced gastric/gastroesophageal junction cancers receive one cycle of sintilimab (anti-PD1) and chemotherapy (S-1 and nab-paclitaxel), followed by 5 weeks of concurrent chemoradiotherapy and sintilimab, and another cycle of sintilimab and chemotherapy thereafter. Surgery is preferably scheduled within one to three weeks, and three cycles of adjuvant sintilimab and chemotherapy are administrated. The primary endpoint is the pathological complete response. Our results meet the pre-specified primary endpoint. Thirteen of 34 (38.2%) enrolled patients achieve pathological complete response (95% CI: 22.2-56.4). The secondary objectives include disease-free survival (DFS), major pathological response, R0 resection rate, overall survival (OS), event-free survival (EFS), and safety profile. The median DFS and EFS were 17.0 (95%CI: 11.1-20.9) and 21.1 (95%CI: 14.7-26.1) months, respectively, while the median OS was not reached, and the 1-year OS rate was 92.6% (95%CI: 50.1-99.5%). Seventeen patients (50.0%) have grade ≥3 adverse events during preoperative therapy. In prespecified exploratory biomarker analysis, CD3+ T cells, CD56+ NK cells, and the M1/M1 + M2-like macrophage infiltration at baseline are associated with pathological complete response. Here, we show the promising efficacy and manageable safety profile of sintilimab in combination with concurrent chemoradiotherapy for the perioperative treatment of locally advanced gastric/gastroesophageal junction adenocarcinoma.

Changing the role of pCR in breast cancer treatment - an unjustifiable interpretation of a good prognostic factor as a "factor for a good prognosis"

Pathologic complete response (pCR) after neoadjuvant systemic therapy (NAST) of early breast cancer (EBC) has been recognized as a good prognostic factor in the treatment of breast cancer because of its significant correlation with long-term disease outcome. Based on this correlation, pCR has been accepted by health authorities (FDA, EMA) as a surrogate endpoint in clinical trials for accelerated drug approval. Moreover, in recent years, we have observed a tendency to treat pCR in routine clinical practice as a primary therapeutic target rather than just one of the pieces of information obtained from clinical trials. These trends in routine clinical practice are the result of recommendations in treatment guidelines, such as the ESMO recommendation "…to deliver all planned (neoadjuvant) treatment without unnecessary breaks, i.e. without dividing it into preoperative and postoperative periods, irrespective of the magnitude of tumor response", because "…this will increase the probability of achieving pCR, which is a proven factor for a good prognosis…". We hypothesize that the above recommendations and trends in routine clinical practice are the consequences of misunderstanding regarding the concept of pCR, which has led to a shift in its importance from a prognostic factor to a desired treatment outcome. The origin of this misunderstanding could be a strong subconscious incentive to achieve pCR, as patients who achieved pCR after NAST had a better long-term outcome compared with those who did not. In this paper, we attempt to prove our hypothesis. We performed a comprehensive analysis of the therapeutic effects of NAST and adjuvant systemic therapy (AST) in EBC to determine whether pCR, as a phenomenon that can only be achieved at NAST, improves prognosis per se. We used published papers as a source of data, which had a decisive influence on the formation of the modern attitude towards EBC therapy. We were unable to find any evidence supporting the use of pCR as a desired therapeutic goal because NAST (reinforced by pCR) was never demonstrated to be superior to AST in any context.