Pathologic Complete Response Research Articles

The prognostic impact of Her2 status in early triple negative breast cancer: a Turkish Oncology Group (TOG) study

The studies evaluating the impact of Her2 levels in neoadjuvant setting have conflicting data. The aim of the study was to evaluate the prognostic impact of Her2 status in early triple negative breast cancer(TNBC). In the study TNBC patients who were treated with neoadjuvant chemotherapy (NAC) and surgery were analyzed retrospectively. The primary aim of the study was to analyze the impact of Her2 status(Her2-0 and Her2-low) on pathological complete response (pCR). The secondary objectives were disease free survival (DFS) and overall survival (OS). 620 female triple negative breast cancer patients were evaluated. 427 patients (68.9%) had Her2-0 and 193(31.1%) had her2-low pathology. The pCR rates were similar between Her2-0 and Her2-low patients (33.0% vs. 27.5%, p = 0.098). Although Her2-0 group has better DFS (106 vs. 50 months, p = 0.002), in multivariate analysis it had a HR of 0.74 (p = 0.06). In addition, OS was similar (131 vs. 105 months, p = 0.13) with a HR of 0.88 (p = 0.61). In multivariate analysis; presence of LVI (HR:2.2 (95% CI 1.1–3.5) p = 0.001), Clinical stage T1/T2 (HR:0.39 (95% CI 0.2–0.6) p < 0.001) and lymph node negativity (HR:0.35 (95% CI 0.1–0.9) p = 0.03) were independent factors for OS. Although there were pathological and clinical differences, the pCR, DFS and OS were similar between Her2-0 and Her2-low TNBC patients. The importance of Her2 status of TNBC in neoadjuvant setting should be further studied.

Envafolimab plus lenvatinib and transcatheter arterial chemoembolization for unresectable hepatocellular carcinoma: a prospective, single-arm, phase II study

Evidences regarding the feasibility of transcatheter arterial chemoembolization (TACE)-based therapy for unresectable hepatocellular carcinoma (uHCC) remains limited. This study aimed to investigate the efficacy and safety of TACE combined with envafolimab and lenvatinib for uHCC. Eligible patients with uHCC received envafolimab and lenvatinib after TACE until disease progression, conversion to surgery, intolerable toxicities, or death. The primary endpoint was the objective response rate (ORR) assessed according to Response Evaluation Criteria in Solid Tumors (RECIST) 1.1 criteria. Between March 2022 and July 2022, 38 patients were included for safety analysis, and 36 patients were included for efficacy analysis. As of the data cutoff (13 December 2023), the median follow-up was 16.9 months. The ORR was 50%, and disease control rate (DCR) was 83.3% per RECIST 1.1 (ORR and DCR of both 83.3% per modified RECIST (mRECIST)). The median progression-free survival (PFS) was 7.58 months. Of 36 patients, 17 patients were converted to resectable HCC with a surgical conversion rate of 47.2%, and 16 patients underwent surgery with R0 resection rate of 100%, pathologic complete response (pCR) rate of 31.3%. Overall incidences of treatment-related adverse events (TRAEs) of any grade was 97.4%. Grade ≥ 3 TRAEs were observed in 52.6% patients. No treatment-related deaths occurred. Image mass cytometry (IMC) analysis revealed that combined treatment improved the immune status of the tumor microenvironment, and resident macrophages had the potential to predict efficacy of this treatment. Envafolimab plus lenvatinib and TACE yielded promising survival outcomes and conversion efficiency with a tolerable safety profile. Trial registration Clinical trials: NCT05213221.

Pathologic Response of Phase III Study: Perioperative Camrelizumab Plus Rivoceranib and Chemotherapy Versus Chemotherapy for Locally Advanced Gastric Cancer (DRAGON IV/CAP 05).

This multicenter, randomized phase III trial evaluated the efficacy and safety of perioperative camrelizumab (an anti-PD-1 antibody) plus low-dose rivoceranib (a VEGFR-2 inhibitor) and S-1 and oxaliplatin (SOX) (SOXRC), high-dose rivoceranib plus SOX (SOXR), and SOX alone (SOX) for locally advanced gastric or gastroesophageal junction (G/GEJ) adenocarcinoma. Patients with T3-4aN + M0 G/GEJ adenocarcinoma were randomly assigned (1:1:1) to receive perioperative treatment with SOXRC, SOXR, or SOX. The primary end points were pathologic complete response (pCR) and event-free survival. The Independent Data Monitoring Committee recommended stopping enrollment in the SOXR group on the basis of the safety data of the first 103 randomly assigned patients in the three groups. The patients were then randomly assigned 1:1 to the SOXRC or SOX groups. This report presents the pCR results obtained per protocol for the first 360 randomly assigned patients who had the opportunity for surgery in the SOXRC and SOX groups. In the SOXRC and SOX groups, of the 180 patients in each group, 99% and 98% of patients received neoadjuvant therapy, 91% and 94% completed planned neoadjuvant therapy, and 86% and 87% underwent surgery, respectively. The pCR was significantly higher in the SOXRC group at 18.3% (95% CI, 13.0 to 24.8) compared with 5.0% (95% CI, 2.3 to 9.3) in the SOX group (difference of 13.7%; 95% CI, 7.2 to 20.1; odds ratio of 4.5 [95% CI, 2.1 to 9.9]). The one-sided P value was <.0001, crossing the prespecified statistical significance threshold of P = .005. Surgical complications and grade ≥3 neoadjuvant treatment-related adverse events were 27% versus 33% and 34% versus 17% for SOXRC and SOX, respectively. The SOXRC regimen significantly improved pCR compared with SOX alone in patients with G/GEJ adenocarcinoma with a tolerable safety profile.

Early Outcomes of Preoperative Short Course Radiotherapy With Simultaneous Integrated Boost and Response-adapted Chemotherapy for Advanced Rectal Cancer

Background and purposeLimited evidence exists for dose escalation in neoadjuvant short course radiotherapy (SCRT) for rectal cancer. With enhanced imaging and radiotherapy techniques over the past decades along with the valuable endpoint of pathological complete response (pCR), we believe SCRT with simultaneous integrated boost could potentially provide deeper pathological responses and improve local control. Methods and MaterialsBetween January 2020 and December 2022, locoregional-advanced rectal cancer patients that were treated with neoadjuvant SCRT with simultaneous integrated boost up to 5.5–6Gy per fraction with five daily fractions followed by response-adapted chemotherapy was retrospectively reviewed. The pCR rates, R0 resection rates, tumor downstaging, toxicities, and early pattern of recurrence are reported. ResultsAmong the 76 patients, 67 (88%) were able to undergo curative intent surgery. R0 resection was achieved in 99% (n = 66) of patients with pCR rates of 28% (n = 19). Forty-six percent (n = 31) of patients had significant pathological downstaging (ypT2N0) and 55% (n = 37) of patients had both T and N downstaging. Most common grade 3 or above radiotherapy-related side-effects were proctitis, rectal pain, and dermatitis found in 5% (n = 4), 3% (n = 2) and 3% (n = 2) of patients, respectively. Grade 3 or above surgical complications were observed in 15% (n = 10) of patients. There were no treatment-related deaths. With a median follow-up of 27 months, only 6% (n = 4) had local recurrence after surgery. ConclusionsNeoadjuvant short course radiotherapy with simultaneous boost for rectal cancer is feasible with no added toxicities. Patients who underwent surgery achieve a high R0 resection and pCR rates. Early data suggest low rates of locoregional recurrence. Further follow-up and research is needed to validate and optimize the dose, method, and schedule of dose escalation.

Genomic and transcriptomic profiling of pre- and postneoadjuvant chemotherapy triple negative breast cancer tumors.

Our understanding of neoadjuvant treatment with microtubule inhibitors (MTIs) for triple negative breast cancer (TNBC) remains limited. To advance our understanding of the role of breast cancer driver genes' mutational status with pathological complete response (pCR; ypT0/isypN0) prediction and to identify distinct gene sets for MTIs like eribulin and paclitaxel, we carried out targeted genomic (n = 50) and whole transcriptomic profiling (n = 64) of TNBC tumor samples from the Japan Breast Cancer Research Group 22 (JBCRG-22) clinical trial. Lower PIK3CA, PTEN, and HRAS mutations were found in homologous recombination deficiency (HRD)-high (HRD score ≥ 42) tumors with higher pCR rates. When HRD-high tumors were stratified by tumor BRCA mutation status, the pCR rates in BRCA2-mutated tumors were higher (83% vs. 36%). Transcriptomic profiling of TP53-positive tumors identified downregulation of FGFR2 (false discovery rate p value = 2.07e-7), which was also the only common gene between HRD-high and -low tumors with pCR/quasi-pCR treated with paclitaxel and eribulin combined with carboplatin, respectively. Differential enrichment analysis of the HRD-high group posttreatment tumors revealed significant correlation (p = 0.006) of the glycan degradation pathway. FGFR2 expression and the differentially enriched pathways play a role in the response and resistance to MTIs containing carboplatin treatment in TNBC patients.

Retrospective analysis of multiparametric MRI in predicting complete pathologic response of neo-adjuvant chemotherapy in bladder cancer

BackgroundMuscle invasive bladder cancer (MIBC) treatment combines systemic therapy and radical cystectomy (RC) or local (chemo-)radiotherapy. Response to systemic therapy is an important outcome predictor but is difficult to assess pre-operatively.MethodsWe analyzed multiparametric MRI (mpMRI) in consecutive MIBC patients receiving cisplatin-based neo-adjuvant chemotherapy at our institution. Two readers, blinded for pathological outcome, independently scored mpMRI before and after 2 and 4 cycles using both a qualitative 3-step method and nacVI-RADS. We analyzed accuracy of mpMRI scores to predict pathologic complete response (pCR) and inter-observer agreement.ResultsWe analyzed 46 patients receiving NAC, 6 patients did not undergo RC after NAC and were excluded. Eleven out of 40 (28%) patients showed a pCR. mpMRI could be assessed in over 90% of patients. Radiologic complete response (rCR) using both methods was significantly associated with pCR, with an overall specificity of 96% and sensitivity of 36% and a high inter-observer agreement. rCR as assessed by the 3-step score was significantly associated with disease free survival (DFS) benefit.ConclusionThe use of nacVI-RADS can predict pCR after NAC with high specificity but low sensitivity and a high inter-observer agreement. A 3-step score adds value in determining local residual disease, rCR assessed by this method could correlate with DFS benefit. mpMRI scores should be prospectively assessed in future trials of multimodal management of MIBC and can be a predictive asset in routine clinical management.

Prediction of pathological complete response to chemotherapy for breast cancer using deep neural network with uncertainty quantification.

The I-SPY 2 trial is a national-wide, multi-institutional clinical trial designed to evaluate multiple new therapeutic drugs for high-risk breast cancer. Previous studies suggest that pathological complete response (pCR) is a viable indicator of long-term outcomes of neoadjuvant chemotherapy for high-risk breast cancer. While pCR can be assessed during surgery after the chemotherapy, early prediction of pCR before the completion of the chemotherapy may facilitate personalized treatment management to achieve an improved outcome. Notably, the acquisition of dynamic contrast-enhanced magnetic resonance (DCEMR) images at multiple time points during the I-SPY 2 trial opens up the possibility of achieving early pCR prediction. In this study, we investigated the feasibility of the early prediction of pCR to neoadjuvant chemotherapy using multi-time point DCEMR images and clinical data acquired in the I-SPY2 trial. The prediction uncertainty was also quantified to allow physicians to make patient-specific decisions on treatment plans based on the level of associated uncertainty. The dataset used in our study included 624 patients with DCEMR images acquired at 3 time points before the completion of the chemotherapy: pretreatment (T0), after 3 cycles of treatment (T1), and after 12 cycles of treatment (T2). A convolutional long short-term memory (LSTM) network-based deep learning model, which integrated multi-time point deep image representations with clinical data, including tumor subtypes, was developed to predict pCR. The performance of the model was evaluated via the method of nested 5-fold cross validation. Moreover, we also quantified prediction uncertainty for each patient through test-time augmentation. To investigate the relationship between predictive performance and uncertainty, the area under the receiver operating characteristic curve (AUROC) was assessed on subgroups of patients stratified by the uncertainty score. By integrating clinical data and DCEMR images obtained at three-time points before treatment completion, the AUROC reached 0.833 with a sensitivity of 0.723 and specificity of 0.800. This performance was significantly superior (p<0.01) to models using only images (AUROC=0.706) or only clinical data (AUROC=0.746). After stratifying the patients into eight subgroups based on the uncertainty score, we found that group #1, with the lowest uncertainty, had a superior AUROC of 0.873. The AUROC decreased to 0.637 for group #8, which had the highest uncertainty. The results indicate that our convolutional LSTM network-based deep learning model can be used to predict pCR earlier before the completion of chemotherapy. By combining clinical data and multi-time point deep image representations, our model outperforms models built solely on clinical or image data. Estimating prediction uncertainty may enable physicians to prioritize or disregard predictions based on their associated uncertainties. This approach could potentially enhance the personalization of breast cancer therapy.

Prediction and validation of pathologic complete response for locally advanced rectal cancer under neoadjuvant chemoradiotherapy based on a novel predictor using interpretable machine learning

BackgroundPrecise evaluation of pathological complete response (pCR) is essential for determining the prognosis of patients with locally advanced rectal cancer (LARC) undergoing neoadjuvant chemoradiotherapy (NCRT) and can offer clues for the selection of subsequent treatment strategies. Most current predictive models for pCR focus primarily on pre-treatment factors, neglecting the dynamic systemic changes that occur during neoadjuvant chemoradiotherapy, and are constrained by low accuracy and lack of integrity. PurposeThis study devised a novel predictor of pCR using dynamic alterations in systemic inflammation-nutritional marker indexes (SINI) during neoadjuvant therapy and developed a machine-learning model to predict pCR. MethodsTwo cohorts of patients with LARC from center one from 2012 to 2017 and from center two from 2020 to 2023 were integrated for analysis. This study compared dynamic changes in blood indexes before and after neoadjuvant therapy and surgical operation. A least absolute shrinkage and selection operator (LASSO) regression analysis was conducted to mitigate collinearity and identify key indexes, constructing the SINI. Univariate and multiple logistic regression analyses were used to identify the independent risk factors associated with pCR. Additionally, 10 machine learning algorithms were employed to develop predictive models to assess risk. The hyperparameters of the machine learning models were optimized using a random search and 10-fold cross-validation. The models were assessed by examining various metrics, including the area under the receiver operating characteristic curves (AUC), the area under the precision-recall curve (AUPRC), decision curve analysis, calibration curves, and the precision and accuracy of the internal and external validation cohorts. Additionally, Shapley's additive explanations (SHAP) were employed to interpret the machine learning models. ResultsThe study cohort comprised 677 patients from the center one and 224 patients from the center two. Six key indexes were identified, and a predictive index, SINI, was constructed. Univariate and multiple logistic regression analyses revealed that SINI, clinical T-stage, clinical N-stage, tumor size, and the distance from the anal verge were independent risk factors for pCR in patients with LARC following NCRT. The mean AUC value of the extreme gradient boosting (XGB) model in the 10-fold cross-validation of the training set was 0.877. The XGB model demonstrated superior performance in the internal and external validation sets. Specifically, in the internal test set, the XGB model achieved an AUC of 0.86, AUPRC of 0.707, accuracy of 0.82, and precision of 0.80. In the external validation set, the XGB model exhibited an AUC of 0.83, AUPRC of 0.702, accuracy of 0.81, and precision of 0.81. Additionally, the predictions generated by the XGB model were analyzed using SHAP. ConclusionThis study involved developing and validating an XGB model using SINI to predict pCR in patients with LARC. Besides, a SINI-based machine learning model shows promise in accurately predicting pCR following NCRT in patients with resectable LARC, offering valuable insights for personalized treatment approaches.

Comparison of pathologic response and survival outcomes between neoadjuvant chemoradiotherapy (nCRT) and neoadjuvant immunochemotherapy (nICT) in patients with locally advanced esophageal squamous cell carcinoma: a propensity score-matched analysis

BackgroundIn locally advanced, operable esophageal squamous cell carcinoma (ESCC), neoadjuvant immunochemotherapy (nICT) has shown results that are somewhat comparable to those of standard neoadjuvant chemoradiotherapy (nCRT). The impact of these neoadjuvant treatments on survival outcomes, however, has yet to be elucidated.MethodsThis study included 489 patients with locally advanced ESCC who underwent surgery at Sichuan Cancer Hospital after receiving neoadjuvant treatment between June 2017 and September 2023. Patients were categorized into nCRT and nICT groups based on whether they received neoadjuvant treatment. To mitigate potential biases and balance covariates between the two cohorts, 1:2 propensity score matching (PSM) was conducted using a caliper width of 0.05.ResultsAfter PSM, the baseline characteristics of the 360 patients remained balanced between the two groups. The findings indicated a superior pathological response in the nCRT group, as evidenced by significantly greater rates of complete response (32.87% vs 14.58%, P < 0.001) and favorable tumor regression grade (TRG), as well as reduced ypT stages and less perineural and angioinvasion, despite comparable ypN stages. Despite the improvement in complete pathological response (pCR) in the nCRT group, the 3-year disease-free survival (DFS) and overall survival (OS) rates did not significantly differ between the groups (DFS: 58.32% vs 56.16%, P = 0.67; OS: 69.96% vs 71.99%, P = 0.99). Crucially, The nICT group showed a lower incidence of grade 3 and 4 adverse events in Leukopenia (2.8% vs 29%; P < 0.001) and Neutropenia (2.8% vs 24%; P < 0.001) during neoadjuvant treatment, comparing with nCRT group.ConclusionsOur preliminary findings suggest that nICT followed by surgery offers comparable survival rates to nCRT, despite being less effective in pathologic outcomes. Nonetheless, nICT is a safe and feasible strategy for locally advanced ESCC, warranting further exploration to understand its impact on long-term survival.

Deep-learning based discrimination of pathologic complete response using MRI in HER2-positive and triple-negative breast cancer

Distinguishing between pathologic complete response and residual cancer after neoadjuvant chemotherapy (NAC) is crucial for treatment decisions, but the current imaging methods face challenges. To address this, we developed deep-learning models using post-NAC dynamic contrast-enhanced MRI and clinical data. A total of 852 women with human epidermal growth factor receptor 2 (HER2)-positive or triple-negative breast cancer were randomly divided into a training set (n = 724) and a validation set (n = 128). A 3D convolutional neural network model was trained on the training set and validated independently. The main models were developed using cropped MRI images, but models using uncropped whole images were also explored. The delayed-phase model demonstrated superior performance compared to the early-phase model (area under the receiver operating characteristic curve [AUC] = 0.74 vs. 0.69, P = 0.013) and the combined model integrating multiple dynamic phases and clinical data (AUC = 0.74 vs. 0.70, P = 0.022). Deep-learning models using uncropped whole images exhibited inferior performance, with AUCs ranging from 0.45 to 0.54. Further refinement and external validation are necessary for enhanced accuracy.

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.

Validation of large language models for detecting pathologic complete response in breast cancer using population-based pathology reports

AimsThe primary goal of this study is to evaluate the capabilities of Large Language Models (LLMs) in understanding and processing complex medical documentation. We chose to focus on the identification of pathologic complete response (pCR) in narrative pathology reports. This approach aims to contribute to the advancement of comprehensive reporting, health research, and public health surveillance, thereby enhancing patient care and breast cancer management strategies.MethodsThe study utilized two analytical pipelines, developed with open-source LLMs within the healthcare system’s computing environment. First, we extracted embeddings from pathology reports using 15 different transformer-based models and then employed logistic regression on these embeddings to classify the presence or absence of pCR. Secondly, we fine-tuned the Generative Pre-trained Transformer-2 (GPT-2) model by attaching a simple feed-forward neural network (FFNN) layer to improve the detection performance of pCR from pathology reports.ResultsIn a cohort of 351 female breast cancer patients who underwent neoadjuvant chemotherapy (NAC) and subsequent surgery between 2010 and 2017 in Calgary, the optimized method displayed a sensitivity of 95.3% (95%CI: 84.0–100.0%), a positive predictive value of 90.9% (95%CI: 76.5–100.0%), and an F1 score of 93.0% (95%CI: 83.7–100.0%). The results, achieved through diverse LLM integration, surpassed traditional machine learning models, underscoring the potential of LLMs in clinical pathology information extraction.ConclusionsThe study successfully demonstrates the efficacy of LLMs in interpreting and processing digital pathology data, particularly for determining pCR in breast cancer patients post-NAC. The superior performance of LLM-based pipelines over traditional models highlights their significant potential in extracting and analyzing key clinical data from narrative reports. While promising, these findings highlight the need for future external validation to confirm the reliability and broader applicability of these methods.

Targeting IGF-IR improves neoadjuvant chemotherapy efficacy in breast cancers with low IGFBP7 expression

There has been a long-standing interest in targeting the type 1 insulin-like growth factor receptor (IGF-1R) signaling system in breast cancer due to its key role in neoplastic proliferation and survival. However, no IGF-1R targeting agent has shown substantial clinical benefit in controlled phase 3 trials, and no biomarker has been shown to have clinical utility in the prediction of benefit from an IGF-1R targeting agent. IGFBP7 is an atypical insulin-like growth factor binding protein as it has a higher affinity for the IGF-1R than IGF ligands. We report that low IGFBP7 gene expression identifies a subset of breast cancers for which the addition of ganitumab, an anti-IGF-1R monoclonal antibody, to neoadjuvant chemotherapy, substantially improved the pathological complete response rate compared to neoadjuvant chemotherapy alone. The pCR rate in the chemotherapy plus ganitumab arm was 46.9% in patients in the lowest quartile of IGFBP7 expression, in contrast to only 5.6% in the highest quartile. Furthermore, high IGFBP7 expression predicted increased distant metastasis risk. If our findings are confirmed, decisions to halt the development of IGF-1R targeting drugs, which were based on disappointing results of prior trials that did not use predictive biomarkers, should be reviewed.

Diagnostic performance of TILs-US score and LPBC in biopsy specimens for predicting pathological complete response in patients with breast cancer.

Tumor-infiltrating lymphocytes-ultrasonography (TILs-US) score is used to predict lymphocyte-predominant breast cancer (LPBC) in surgical specimens. We aimed to compare diagnostic performance of TILs-US score for predicting pathological complete response (pCR) with that of LPBC in biopsy specimens. TILs ≥ 50% in biopsy specimens was defined as biopsy-LPBC, and TILs-US score ≥ 4 was categorized as TILs-US score-high. Basic nomogram for pCR was developed using stepwise logistic regression based on the smallest Akaike Information Criterion, and biopsy-LPBC and TILs-US score nomograms were developed by integrating biopsy-LPBC or TILs-US scores into a basic nomogram. The diagnostic performance of the nomograms for pCR was compared using area under the curve (AUC), categorical net reclassification improvement (NRI), and integrated discrimination improvement (IDI). This retrospective study evaluated 118 patients with breast cancer, including 33 (28.0%) with biopsy-LPBC, 52 (44.1%) with TILs-US score-high, with 34 (28.8%) achieving pCR. The sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, and AUC for predicting pCR were 0.53, 0.82, 2.96, 0.57, and 0.68, respectively, for biopsy-LPBC, and 0.76, 0.69, 2.47, 0.34, and 0.73, respectively, for TILs-US score. The biopsy-LPBC nomogram showed significant improvements in categorical NRI (p = 0.023) and IDI (p = 0.007) but not in AUC (p = 0.25), compared with the basic nomogram. The TILs-US nomogram exhibited significant improvements in AUC (p = 0.039), categorical NRI (p = 0.010), and IDI (p < 0.001). The TILs-US score may serve as a novel marker for prediction of pCR in patients with breast cancer. An external validation study is warranted to confirm our findings.

Evaluation of Treatment and Recurrence-Free Survival in Patients with Early HER2-Positive Breast Cancer: Real-Life Data Comparing Public and Private Healthcare

Abstract Introduction The present study was designed to compare the treatment provided in private and public health care facilities for women positive for early breast cancer of the human epidermal growth factor receptor 2 (HER2) subtype, who received anti-HER2 therapy in neoadjuvant or adjuvant settings, with an evaluation of the recurrence-free survival (RFS) and pathological complete response (pCR) rates. Materials and Methods The current is a retrospective study carried out at the Instituto Brasileiro de Controle do Cancer (IBCC Oncologia), in the city of São Paulo, Brazil. We included patients treated between 2015 and 2020. Results The study included 472 medical records of early HER2-positive breast cancer patients treated in the public and private health care systems who received neoadjuvant or adjuvant treatments. The pathological complete response (pCR) was related to a lower recurrence rate and a longer recurrence-free survival (RFS). The results showed no statistically significant difference between the public and private health care systems in terms of RFS. Discussion Although the public health care patients were diagnosed with more advanced diseases than the private health care patients, both presented similar survival rates. In spite of the small number of patients evaluated, the dual HER2 blockade did not improve the clinical outcomes. These findings should be confirmed through studies with a larger number of patients and a longer follow-up period.

A phenocopy signature of TP53 loss predicts response to chemotherapy

In preclinical studies, p53 loss of function impacts chemotherapy response, but this has not been consistently validated clinically. We trained a TP53-loss phenocopy gene expression signature from pan-cancer clinical samples in the TCGA. In vitro, the TP53-loss phenocopy signature predicted chemotherapy response across cancer types. In a clinical dataset of 3003 breast cancer samples treated with neoadjuvant chemotherapy, the TP53-loss phenocopy samples were 56% more likely to have a pathologic complete response (pCR), with a significant association between TP53-loss phenocopy and pCR in both ER positive and ER negative tumors. In an independent clinical validation in the I-SPY2 trial (N = 987), we confirmed the association with neoadjuvant chemotherapy pCR and found higher rates of chemoimmunotherapy response in TP53-loss phenocopy tumors compared to non-TP53-loss phenocopy tumors (64% vs. 28%). The TP53-loss phenocopy signature predicts chemotherapy response across cancer types in vitro, and in a proof-of-concept clinical validation is associated with neoadjuvant chemotherapy response across multiple clinical breast cancer cohorts.

Pathological response following neoadjuvant immune checkpoint inhibitors in patients with hepatocellular carcinoma: a cross-trial, patient-level analysis

Neoadjuvant use of immune checkpoint inhibitors (ICIs) before liver resection results in pathological tumour regression in patients with hepatocellular carcinoma. We aimed to describe the characteristics of pathological responses after preoperative ICI therapy for hepatocellular carcinoma and to evaluate the association between the depth of tumour regression and relapse-free survival. In this cross-trial, patient-level analysis, we performed a pooled analysis of data from patients with hepatocellular carcinoma receiving ICI therapy before liver resection as part of a global collaborative consortium (NeoHCC) of five phase 1 and 2 clinical trials and standardised observational protocols conducted in 12 tertiary referral centres across the USA, UK, and Taiwan. Eligible patients were adults (aged ≥18 years) diagnosed with hepatocellular carcinoma by tissue core biopsy before treatment initiation, a Liver Imaging Reporting and Data System score of 5 on imaging, or both, with an Eastern Cooperative Oncology Group performance status score of 0-1, and no extrahepatic spread or previous ICI treatment. Pathological response was measured as the percentage of non-viable tumour in the resected surgical specimen, with major pathological response corresponding to at least 70% tumour regression and pathological complete response corresponding to 100% tumour regression. We correlated pathological response with radiological overall response using RECIST criteria (version 1.1) and relapse-free survival, and evaluated the threshold of tumour regression that could be optimally associated with relapse-free survival. At data cutoff on Jan 31, 2024, 111 patients were included in the study, of whom data on pathological response were available for 104 (94%) patients. Patients received treatment from Oct 5, 2017, to Nov 15, 2023, mostly ICI combinations (76 [69%]), for a median of 1·4 months (IQR 0·7-2·9). 87 (78%) patients were men and 24 (22%) were women. Most patients had underlying viral chronic liver disease (73 [66%]) and Barcelona Clinic Liver Cancer stage A hepatocellular carcinoma (61 [55%]), without portal vein thrombosis (87 [78%]). We observed major pathological response in 33 (32%) patients and pathological complete response in 19 (18%) patients. Radiological overall response was associated with major pathological response, with 23 (74%) of 31 patients with radiological response showing major pathological response compared with ten (14%) of 73 patients without radiological response (p<0·0001). However, ten (30%) of 33 major pathological responses were not predicted by radiological response. After a median follow-up of 27·2 months (95% CI 22·3-32·1), median relapse-free survival for the whole cohort was 43·6 months (95% CI 28·3-not evaluable). Relapse-free survival was significantly longer in patients with major pathological response than in those who did not have a major pathological response (not reached [95% CI not evaluable-not evaluable] vs 28·3 months [12·8-43·8]; hazard ratio 0·26 [0·10-0·66]; p=0·0024) and in patients with pathological complete response than in those who did not have a pathological complete response (NR [95% CI not evaluable-not evaluable] vs 32·8 months [15·0-50·5]; 0·19 [0·05-0·78]; p=0·010). Unbiased recursive partitioning of the cohort for the risk of relapse, death, or both identified a threshold of 90% as the optimal cutoff of pathological tumour regression to predict improved relapse-free survival. The extent of tumour regression following neoadjuvant ICI therapy could identify patients with improved relapse-free survival following liver resection. The threshold of at least 90% tumour regression should be validated for its surrogate role for relapse-free survival in phase 3 randomised controlled trials. None.

Impact of delays in neoadjuvant chemotherapy initiation on pathologic complete response among patients with HER2-positive or triple negative breast cancer.

102 Background: Pathologic complete response (pCR) is used as a surrogate endpoint for overall survival (OS) in high-risk early-stage breast cancer (BC). pCR rates vary according to BC molecular subtype and have the highest association with OS in triple negative BC (TNBC) and HER2-positive (HER2+) BC. In these subgroups, neoadjuvant chemotherapy (NACT) is often the standard of care. We evaluated the association of delays in NACT initiation (NACTI) with pCR. Methods: We conducted a retrospective cohort study using the National Cancer Database. Eligibility included age ≥18 years, diagnosis cT2+ or lymph node positive HER2+ or TNBC between 1/1/2010 – 12/31/2020, who were treated with NACT within 180 days of BC diagnosis. Time to chemotherapy (TTC) was recorded in days. Patients were categorized by receptor status. We used AJCC 7 th and 8 th edition T and N staging to define pCR (pT0 or pTis and pN0 or pN0I-). Delay was defined as TTC &gt; 60 days. Multivariable logistic regression, adjusted for demographic, socioeconomic and tumor characteristics, was used to calculate odds of pCR associated with delays. A sensitivity analysis defining delay &gt;30 and &gt;90 days was also conducted. Results: We identified 105,352 eligible patients, 73% were White, 19% were Black, 3% were Asian, and 4% were Other/Unknown. Median age at diagnosis was 52 years (range 18-90), median TTC was 32 days (range 0-180). There were 56,868 patients with HER2+ BC and 48,484 with TNBC; 9% of patients were delayed &gt; 60 days in each group. Among all HER2+ patients, 39.1% achieved a pCR: 35.0% with delay compared to 39.5% without delay. Among TNBC patients, 30% achieved a pCR: 25% with delay compared to 31% without delay (p &lt; 0.0001 for all). In multivariable analysis, patients with HER2+ disease (OR 0.85, 95%CI 0.79-0.92) and TNBC (OR 0.80, 95%CI 0.73-0.87) were less likely to achieve pCR if delayed &gt; 60 days. In a sensitivity analysis, delay &gt; 30 days was associated with lower likelihood of achieving pCR for all and delay &gt; 90 days was associated with lower likelihood for TNBC (Table). Conclusions: Delays in NACTI &gt;60 days among patients with HER2+ and TNBC BC was an independent predictor of not achieving pCR. Given the known association between socioeconomic factors and delays to initiation of treatment, interventions aimed at reducing delays may reduce disparities in BC outcomes. Future studies to identify causes of delays and the downstream impact are needed to ultimately develop interventions that mitigate these effects among patients with HER2+ or TNBC, where pCR rates are associated with OS. Association of pCR in patients who experience NACTI delay using multivariable logistic regression* n(complete case) = 77,690. Subgroup &gt;30-day Delay in NACTIOR (95% CI) &gt;60-day Delay in NACTIOR (95% CI) &gt;90-day Delay in NACTIOR (95% CI) HER2+n =41,672 0.91 (0.87-0.95) 0.85 (0.79-0.92) 0.93 (0.80-1.07) TNBCn = 36,018 0.87 (0.83-0.92) 0.80 (0.73-0.87) 0.78 (0.65-0.92) *Adjusted for demographic, socioeconomic and tumor characteristics.

A case of salvage surgery following chemoradiotherapy and durvalumab for initially unresectable superior sulcus tumor with N3 involvement

BackgroundDurvalumab after chemoradiation (PACIFIC regimen) provides favorable treatment outcomes for unresectable stage III non-small cell lung cancer (NSCLC). The feasibility of salvage surgery after the PACIFIC regimen has been reported in some studies; however, its efficacy remains unclear. We herein present the first case of salvage surgery after the PACIFIC regimen for a superior sulcus tumor with N3 involvement, in which a pathological complete response was achieved.Case presentationA 53-year-old man with a left superior sulcus tumor with N3 (# 1L, #4R) involvement (adenocarcinoma, clinical T3N3M0/IIIC) underwent concurrent chemoradiotherapy (2 cycles of cisplatin plus vinorelbine with 60 Gy radiotherapy) followed by durvalumab treatment for 1 year at a previous hospital. The PACIFIC regimen provided a significant primary tumor shrinkage (diameter 3.1 cm to 0.5 cm) with the disappearance of 18F-fluorodeoxyglucose uptake in all nodes. Six months after the end of the PACIFIC regimen, only the primary tumor showed enlargement (diameter 0.5 cm to 2.0 cm). Accordingly, local tumor recurrence was suspected. Salvage surgery (left upper lobectomy with combined chest wall resection [1st to 4th rib]) was performed. The histological examination revealed no viable tumor cells (ypT0N0M0). At 7 months after salvage surgery, the patient remains alive with no signs of tumor recurrence.ConclusionsThe present case suggests that salvage surgery may be feasible after the PACIFIC regimen for superior sulcus tumors. A long-term follow-up is essential to determine the efficacy of salvage surgery.

Neoadjuvant radiotherapy and endocrine therapy for oestrogen receptor positive breast cancers: the Neo-RT feasibility study

AimsTo establish safety and feasibility of delivering neoadjuvant radiotherapy and endocrine therapy for oestrogen receptor positive breast cancers with palpable size 20mm or greater, for which radiotherapy might facilitate more conservative surgery. Materials and MethodsA single arm feasibility study was conducted. Patients received whole breast radiotherapy with or without radiotherapy to nodal areas. Dose/fractionation was 40Gy in 15 fractions over 3 weeks, with or without either simultaneous integrated boost to 48Gy, or sequential boost, to the tumour bed. This was followed by endocrine treatment for 20 weeks, then surgery. The primary endpoint of the study was proportion of patients successfully completing neo-adjuvant radiotherapy and endocrine treatment followed by breast surgery. Response and toxicity endpoints including mastectomy rate, peri/postoperative complications, and pathological response were also evaluated.The primary analysis is descriptive. The study regimen would be considered feasible if more than 70% of patients completed treatment, while it might not be considered feasible if less than 50% did so. With a one sided 5% significance level and 80% power, a maximum of 43 patients would be required to detect a rate of ≤50% vs ≥70%. Results14 patients were recruited of the planned 43. Due to slow recruitment particularly during the COVID-19 pandemic, the decision was made to stop the trial in October 2021. One registered patient was found to be ineligible before starting treatment. 13/13 patients (100%, 90% CI: 75.3%, 100%) who received any trial treatment successfully completed all trial treatments. The lower bound of the Clopper-Pearson (exact) 90% confidence interval was 79%, indicating that the primary endpoint would have been met if the planned recruitment had been achieved. 3/13 patients underwent mastectomy. 7/13 had more conservative surgery than had been planned at baseline. 4/13 patients experienced any peri/postoperative complication. The only acute radiotherapy toxicities reported were grade 1/2 dermatitis and grade 1 fatigue. Long term breast outcomes were clinician assessed as none/mild at all timepoints in 12/13 patients. All tumours showed evidence of some pathological response to treatment, but none had pathological complete response. ConclusionsThis treatment schedule is likely feasible. It is difficult to draw strong conclusions on safety/toxicity given the small numbers, but these seem in keeping with other recent reports of neoadjuvant breast radiotherapy.