影响乳腺癌新辅助化疗后病理完全缓解的临床因素分析

目的:探讨影响乳腺癌新辅助化疗后病理完全缓解（pathological complete response,pCR）的临床因素。方法:回顾分析新辅助化疗并行根治性手术的120例女性乳腺癌患者的临床资料;所有患者均接受6~8周期EC-T方案化疗,化疗结束后2~4周行根治性手术。采用χ2检验及 Logistic 回归分析影响pCR和非pCR的临床因素。结果:疗效结果单因素分析显示:T分期、N分期、乳腺癌分子分型、治疗前Ki-67表达水平、治疗前血小板水平与乳腺癌新辅助化疗后肿瘤pCR率显著相关。Logistic二元回归分析发现乳腺癌非Luminal分子亚型和新辅助化疗前高血小板水平是影响乳腺癌新辅助化疗后pCR的独立预测因素。结论:乳腺癌非Luminal分子亚型和新辅助化疗前高血小板水平是影响乳腺癌新辅助化疗后pCR的决定性因素。     

乳腺癌新辅助化疗后病理完全缓解的因素分析

目的:研究代谢综合征（metabolic syndrome,MS）与乳腺癌新辅助化疗（neoadjuvant chemotherapy,NAC）病理完全缓解（pathological complete response,pCR）的关系。方法:收集2014年01月至2020年06月在哈尔滨医科大学附属肿瘤医院接受NAC后进行手术的女性乳腺癌患者526例,并收集患者的临床病理资料,根据MS诊断标准分为MS组99例与非MS组427例。采用Logistic回归模型进行单因素和多因素分析MS与pCR的关系。结果:105例患者NAC后获得pCR,其中MS组10例,非MS组95例。单因素分析显示:非MS组较MS组更易获得pCR（P=0.008）,激素受体（hormone receptor,HR）阴性、人类表皮生长因子受体2（human epidermal growth factor receptor-2,HER-2）阳性、Ki-67＞14%者更易获得pCR（P＜0.001、P＜0.001、P=0.002）。多因素分析显示:与HR阴性者相比,HR阳性者较难获得pCR（P＜0.001）;与HER-2阴性者相比,HER-2阳性者pCR率更高（P=0.033）;与非MS患者相比,合并MS患者更难获得pCR（P=0.041）。亚组分析显示:非MS组中HR阴性患者更易获得pCR（P＜0.001）。结论:HR状态、HER-2状态及MS是乳腺癌NAC后pCR的独立预测因素,合并代谢综合征的乳腺癌患者接受新辅助化疗后更难获得病理完全缓解,与长期预后相关性有待进一步研究。     

乳腺癌临床病理指标以及分子分型对TEC新辅助化疗病理完全缓解的预测价值

目的  本研究旨在探讨乳腺癌临床病理指标以及乳腺癌分子分型对多西他赛联合表柔比星、环磷酰胺（TEC）的 新辅助化疗后病理完全缓解率（pathological complete response pCR）的预测价值。方法   对 214例经4周期TEC新辅助化疗的乳腺癌患者的临床病理资料进行回顾性分析;免疫组织化学检测经核心针穿刺 的癌组织雌激素受体（ER）、孕激素受体（PR）、人类表皮生长因子受体-2（HER2）、Ki67、p53表达情况,原位基 因免疫荧光杂交（FISH）检测HER2有无过表达;根据ER、PR、HER2、Ki67的表达情况将乳腺癌分为4种分子分型： LuminalA、 LuminalB、HER2过表达型和三阴性乳腺癌。分析不同的临床病理指标、不同分子分型与pCR的相关性。结果  4周期TEC新辅助化疗后pCR率为14.0%（30/214）;单因素分析：ER、PR、Ki67、乳腺癌分子分型与pCR均具有显 著相关性（P＜0.05）;乳腺癌分子分型各组间显示pCR率不同：LuminalA＜LuminalB＜HER2过表达型＜三阴性乳腺癌 ;多因素分析：与pCR具有显著相关性的分类变量为ER（OR=0.311,95%CI：0.136～0.712;P=0.006）和Ki67 （OR=2.788,95%CI：1.061～7.327;P=0.038）。结论  ER、PR、Ki67以及乳腺癌分子分型可能是TEC新辅助化疗后乳腺癌pCR的预测指标。     

HER-2阳性乳腺癌新辅助治疗腋窝病理完全缓解的预测因素分析

目的:研究人类表皮生长因子受体2(human epidermal growth factor receptor 2,HER-2)阳性乳腺癌新辅助治疗腋窝病理完全缓解(axillary pathological complete response,apCR)的预测因素.方法:回顾性分析2017年1月至2019年12月四川...     

直肠癌新辅助放化疗后病理完全缓解的临床因素分析

目的 评估影响直肠癌新辅助放化疗后pCR的临床因素。方法 回顾分析2009—2012年间接受新辅助放化疗随后行根治性手术的116例直肠癌患者临床资料。所有患者术前接受盆腔调强放疗50 Gy分25次,同期氟尿嘧啶为基础化疗,完成治疗休息4~8周后行根治性手术。应用 Logistic法分析影响pCR和非pCR的临床因素。结果 共20例患者经新辅助放化疗后达pCR,pCR率为17.2%。单因素分析表明肿瘤侵犯直肠管腔周径范围达75%以上(全周肿瘤)、治疗前血清CEA水平、T分期、N分期、肛缘距离、分化程度、肿瘤最大直径与直肠癌新辅助放化疗后肿瘤pCR水平相关。多因素分析结果显示全周肿瘤、治疗前血清CEA水平和T分期是影响放化疗后肿瘤pCR预测因素。结论 非全周肿瘤、低CEA水平和早T分期等治疗前临床因素可能是获得pCR的重要决定因素。     

影响青年乳腺癌患者新辅助化疗后病理完全缓解和预后的病理因素分析

目的:探讨影响青年乳腺癌患者新辅助化疗（neoadjuvant chemotherapy,NAC）后病理完全缓解（pathological complete response,pCR）和预后的临床病理因素。方法:回顾性分析2010年01月至2018年12月我院甲乳外科收治年龄≤35岁行NAC的女性乳腺癌患者的临床病理资料。NAC后依据Miller-Payne评分系统,将患者分为pCR组和非pCR组。探讨临床病理因素对青年乳腺癌患者pCR、复发转移和死亡的影响,同时分析pCR与无病生存期（disease free survival,DFS）与总生存期（overall survival,OS）之间的相关性。结果:168例患者中pCR 37例,pCR率为22.0%。体质量指数(body mass index,BMI)、术前淋巴结状态、雌激素受体（estrogen receptor,ER）、孕激素受体（progesterone receptor,PR）、人类表皮生长因子受体2（human epidermal growth factor receptor-2,HER-2）、Ki-67、p53及分子分型与青年乳腺癌患者NAC后的pCR率关系密切（P＜0.05）。肿瘤大小、术前淋巴结状态、ER、PR、HER-2、p53及分子分型影响患者的复发转移和死亡（P＜0.05）,同时肿瘤大小、术前淋巴结状态、组织学分级、ER、PR、HER-2、Ki-67及分子分型均是DFS和OS的独立影响因素（P＜0.05）。66例复发转移患者中pCR患者7例,占pCR患者的18.9%（7/37）,pCR组和非pCR组DFS比较差异具有统计学意义（P＜0.05）。38例死亡患者中pCR患者3例,占pCR患者的8.1%（3/37）,pCR组和非pCR组OS比较差异具有统计学意义（P＜0.05）。结论:影响青年乳腺癌患者pCR和预后的临床病理因素较多,获得pCR的患者具有更好的远期预后。     

可手术乳腺癌的新辅助全身治疗

新辅助全身治疗(neoadjuvant systemic treatment, NST)也称术前全身治疗。以全身治疗为原发性乳腺癌的首治方法兴起于上世纪70年代,其初衷是为了解决不可切除或切除困难的局部晚期乳腺癌(locally advanced breast cancer,LABC)和炎性乳腺     

直肠癌患者新辅助同步放化疗后病理完全缓解的影响因素分析

摘 要：［目的］ 探讨直肠癌新辅助放化疗（nCRT）后pCR的预测因素,并分析pCR对术后并发症的影响。［方法］ 回顾性分析中国科学院大学附属肿瘤医院2008—2016年收治的接受新辅助治疗并进行根治性手术切除直肠癌患者456例。依据术后病理将患者分为pCR组和非pCR组。单因素和多因素分析pCR的影响因素,并分析两组术后并发症情况。［结果］ 456例患者中,98例（21.4％）达到pCR,pCR组和非pCR组患者在年龄、性别、肿瘤分化、临床T和N期、手术类型、放疗剂量和术后并发症方面无明显差异,与pCR相关的因素包括肿瘤大小、治疗前CEA水平、放疗剂量以及手术间隔时间超过8周;多因素分析结果显示,治疗前CEA水平（OR=0.440,95％CI：0.254～0.837,P=0.017）和手术间隔时间（OR=2.641,95％CI：1.385～5.104,P=0.003）是pCR的独立预测因素。［结论］ 治疗前CEA水平和手术间隔时间与nCRT 后pCR率有关,pCR不增加术后并发症的发生风险。     

局部进展期直肠癌新辅助化疗后病理完全缓解及肿瘤降期的预测因素分析

目的:探索局部进展期直肠癌(LARC)经新辅助化疗后病理完全缓解（pCR）和肿瘤降期（ypT0-1）的预测因素。方法:回顾性分析71例经新辅助化疗后进行全直肠系膜切除术的局部进展期直肠癌患者的临床资料,分析其临床特征,筛选经新辅助化疗后达到pCR及肿瘤降期（ypT0-1）的预测因子。结果:单因素分析结果显示肿瘤占肠腔＜1/2周（P＜0.001）、基线CEA≤5 ng/mL（P=0.001）、基线临床N分期为N0期（P=0.019）以及新辅助治疗2周期后影像评估为缓解（P=0.002）与直肠癌新辅助化疗后的高pCR率有关;肿瘤占肠腔＜1/2周（P＜0.001）、基线CEA≤5 ng/mL（P=0.029）以及新辅助治疗2周期后影像评估为缓解（P=0.007）与直肠癌新辅助化疗后的高肿瘤降期率（ypT0-1）有关。多因素Logistic回归分析结果显示,肿瘤占肠腔环周大小（P=0.013）、基线CEA水平（P=0.042）以及基线临床N分期（P=0.038）是影响直肠癌新辅助化疗后pCR的独立预测因子;肿瘤占肠腔环周大小（P=0.001）是影响直肠癌新辅助化疗后肿瘤降期（ypT0-1）的独立预测因子。结论:初始诊断时肿瘤占肠腔环周大小、基线CEA水平及淋巴结是否阳性对局部进展期直肠癌新辅助化疗后pCR有预测作用,肿瘤占肠腔环周大小对局部进展期直肠癌新辅助化疗后肿瘤降期（ypT0-1）有预测作用。     

中性粒细胞与淋巴细胞比值预测乳腺癌新辅助治疗后腋窝淋巴结病理学完全缓解的研究

背景与目的:中性粒细胞与淋巴细胞比值(neutrophil to lymphocyte ratio,NLR)作为简单、客观且廉价的实验室指标,其疗效预测价值已在其他类型的癌种中得到验证.整合新辅助治疗(neoadjuvant therapy,NAT)前临床病理学特征及NLR来预测NAT后腋窝淋巴结病理学完全缓解(axi...     

Clinical and pathological predictors of recurrence in breast cancer patients achieving pathological complete response to neoadjuvant chemotherapy

IntroductionDespite the excellent prognosis associated with pathological complete response (pCR) to neoadjuvant chemotherapy (NAC), some patients still develop recurrence. Here, we investigated the outcomes of breast cancer patients with pCR, as well as the clinical and pathological predictors of cancer recurrence in these patients.Materials and methodsOf the 1599 breast cancer patients treated with NAC, we evaluated 394 patients who achieved pCR between January 2007 and December 2016. pCR was defined as no evidence of invasive cancer in breast. Residual in situ ductal and axillary lymph node diseases were not considered. We analyzed the outcomes using the Kaplan–Meier method. We assessed the association of clinical and pathological predictors with cancer recurrence using the cox proportional hazards regression model.ResultsThe median follow-up time was 63 months. The 5-year disease-free survival rate was 92.3%. Cancer recurrence was observed in 28 patients (7.1%): local recurrence 8 patients (2.0%), visceral metastasis 10 patients (2.5%), and brain metastasis 10 patients (2.5%). Brain metastases were found in patients with HER2 type breast cancer. The significant predictors of cancer recurrence were HER2 positivity (p = 0.04), clinical tumor size (p < 0.01), and lymph node metastasis (p < 0.01) before NAC on univariate analysis and only lymph node metastasis on multivariate analysis.ConclusionPatients achieving pCR to NAC showed excellent outcomes. Advanced clinical stage, large tumor size, presence of lymph node metastasis, and HER2 positivity before NAC were identified as significant predictors of cancer recurrence. Residual in situ ductal and lymph node diseases after NAC were not significant predictors.     

乳腺癌新辅助治疗二次活检诊断病理学应答研究进展及临床意义

随着乳腺癌新辅助治疗的发展,病理学完全缓解率明显提高。对于已经达到病理学完全缓解的患者,使用局域放疗替代手术治疗在理论上可行,因此术前准确判断病理学完全缓解至关重要。新辅助化疗后二次活检因其对病理学完全缓解预测准确率较高而被认为是有希望替代手术诊断病理学完全缓解的方法。最近发表的几项国外的前瞻性临床试验结果表明,新辅助化疗后二次活检具有相对较高的假阴性率,对新辅助化疗反应极好的患者豁免手术仍需要进一步研究。本文首先阐述二次活检的临床应用及其意义,并将国外已发表的临床研究分为小型可行性研究和大型前瞻性研究,对其主要结果及特点进行分析。     

Meta-analysis confirms achieving pathological complete response after neoadjuvant chemotherapy predicts favourable prognosis for breast cancer patients

Neoadjuvant chemotherapy (NAC) has become a widely accepted method of sequencing systemic therapy for breast cancer treatment. While ‘response to chemotherapy’ in the neoadjuvant setting has been utilised to predict prognosis, the published data are inconsistent. The present meta-analysis was conducted to determine whether the pathologic response to NAC predicts for outcomes. Papers were selected from the PubMed database based on defined inclusion and exclusion criteria. Parameters such as number/percentage of patients having pCR and outcome statistics (i.e. overall survival (OS), disease-free survival (DFS), relapse-free survival (RFS)) were collected. The analysis included 16 studies with 3776 patients. The summary odds ratio (OR) estimating the association of OS with pCR was 3.44 (95% confidence interval [95%CI]: 2.45-4.84), with similar findings for DFS (OR = 3.41, 95%CI: 2.54-4.58) and RFS (OR = 2.45, 95%CI: 1.59-3.80). No obvious statistical heterogeneity was detected. Funnel plots and Egger’s tests did not reveal publication bias. This meta-analysis confirms that pathologic response is a prognostic indicator for RFS, DFS and OS and suggests that patients achieving pCR after NAC have favourable outcomes.     

Significance and problems in evaluations of pathological responses to neoadjuvant therapy for Breast Cancer

Neoadjuvant therapy consists of systemic drug treatments before surgery for a primary cancer. Currently, several neoadjuvant therapy regimens for breast cancer that use various cytotoxic as well as endocrine-therapeutic and molecular-targeting agents have been performed in clinical practice and/or studies. In neoadjuvant therapy, pre-treatment pathological examination using materials obtained by a core needle biopsy (CNB) is necessary, and pathological diagnosis and evaluation of the biological status, such as hormone receptors and HER-2 over-expression are confirmed. In addition, CNB in the inter-phase of chemotherapy is also thought to be useful for assessment of therapeutic effects before regimens have been completed. After surgery, the therapeutic effects of neoadjuvant therapy have been mainly evaluated on the basis of pathological findings and a pathological complete response (pCR) is considered to be the main target of neoadjuvant therapy. Results of most of clinical studies including NSABP protocol B-18 and B-27 have confirmed the prognostic significance of pCR in neoadjuvant therapy and indicated the significance of pathological evaluation. However, universally accepted pathological response criteria have not been established, but evaluations of the main invasive tumor, intraductal components and regional lymph nodes are thought to be necessary. Additionally, evaluation of the effects below pCR also need examining in a study using a mild anti-cancer drug, such as hormone-therapeutic agent, and the survival outcomes of patients below pCR need to be examined and compared between each grade.     

Rate and predictors of nodal pathological complete response following neoadjuvant endocrine treatment in clinically biopsy-proven node-positive breast cancer patients

BackgroundData on effectiveness and optimal use of neoadjuvant endocrine therapy (NET) in clinically biopsy-proven node-positive breast cancer is lacking. This study examined the incidence of axillary pathological complete response (pCR) on NET in clinically biopsy-proven node-positive breast cancer patients. Secondary, patient and tumour characteristics, as well as the optimal duration of NET in relation to the occurrence of axillary pCR were investigated.Material and methodsPatients diagnosed with primary hormone receptor positive, HER2 negative breast cancer between 2014 and 2019, with at least one positive axillary lymph node (pathologically proven), treated with NET were selected from the Netherlands Cancer Registry. The incidence of axillary pCR in combination with patient, tumour and treatment characteristics was analysed.ResultsIn a population of 561 patients, an axillary pCR of 7.3% on NET was observed. Median length of treatment was 8.1 months in the patients without vs. 8.8 months in those with axillary pCR, with no statistically significant difference. A p-value <0.30 was found for age, histologic type, clinical tumour status, hormone receptor status and the type of NET in univariable analysis. After multivariable logistic regression analyses, none of these variables were independently associated with the likelihood of an axillary pCR.ConclusionThe rate of axillary pCR after NET in HR + HER2-clinically biopsy-proven node-positive breast cancer patients is low. Factors independently associated with the likelihood of an axillary pCR could not be identified. More research is warranted regarding optimizing the duration of NET and the prognostic value of residual disease in the axilla after NET.     

Tumour size is the only predictive factor of distant recurrence after pathological complete response to neoadjuvant chemotherapy in patients with large operable or locally advanced breast cancers: A sub-study of EORTC 10994/BIG 1-00 phase III trial

PurposeAlthough achieving a pathological complete response (pCR) after neoadjuvant chemotherapy (NACT) in breast cancer predicts a better outcome, some patients still relapse. The objectives of this study were to describe the types of events in this group of patients and to identify predictive factors for relapse.MethodsPatients with large operable or locally advanced breast cancers (T4d tumours were excluded) were randomised to receive either six cycles of anthracycline-based chemotherapy or three cycles of docetaxel followed by three cycles of eprirubicin/docetaxel. pCR was defined as no evidence of residual invasive cancer (or very few scattered tumour cells) in the primary tumour and axillary lymph nodes at surgery. Two Cox regression analyses were performed to identify predictive factors of relapse: one for recurrence-free interval (RFI) and one for distant recurrence-free interval (DRFI).ResultsOut of 283 eligible patients who achieved a pCR, 40 (14.1%) and 28 (9.9%) presented an event of interest for the RFI and DRFI analyses, respectively. Five-year RFI, DRFI and overall survival (OS) were 85.3% (95% confidence interval (CI), 80.1–89.3), 89.6% (95% CI, 85.0–92.9) and 91.9% (95% CI, 87.2–94.9), respectively. No predictors for RFI after pCR were identified. For DRFI, tumour size was the only predictor: Hazard ratio (HR) T3 versus T1–2 = 3.62 (95% CI, 1.66–7.89); HR T4 versus T1–2: HR, 2.80 (95% CI, 0.62–12.64) p = 0.0048.ConclusionIn this study, clinical tumour size emerged as the only predictor for DRFI after pCR, with T3 and T4 tumours having an increased risk for distant recurrence compared to T1–2 tumours.     

Breast radiologic complete response is associated with favorable survival outcomes after neoadjuvant chemotherapy in breast cancer

BackgroundThe aim of this study was to examine the accuracy of radiologic complete response (rCR) in predicting pathologic complete response (pCR), and determine whether rCR is a predictor of favorable survival outcomes.Materials and methodsWe retrospectively reviewed breast cancer patients treated with neoadjuvant chemotherapy (NAC) followed by surgery from September 2007 to June 2016. Breast lesions and axillary nodes were measured by MRI and categorized into either disappeared (breast rCR) or residual disease (breast non-rCR) and either normalized (axillary rCR) or abnormal findings (axillary non-rCR) in the axillary nodes. Correlation between rCR and pCR were compared using Cohen’s Kappa statistics, and the recurrence-free survival (RFS) and overall survival (OS) rates were calculated by the Kaplan-Meier method.ResultsOut of the 1017 eligible patients, 287 (28.2%) achieved breast pCR, 165 (16.2%) achieved breast rCR, 529 (52.0%) had axillary pCR, and 274 (26.9%) achieved axillary rCR. The correlation between a breast rCR and pCR showed a Cohen’s Kappa value of 0.459, and between axillary rCR and pCR, the value was 0.384. During a median follow-up time of 48.0 months, the 5-year RFS rates were 90.6% for breast rCR, and 69.2% for breast non-rCR. The 5-year RFS rates were 82.3% for axillary rCR, and 68.8% for axillary non-rCR. Patients without breast rCR had a 2.4-fold significant increase in the risk of recurrence (p = 0.004) compared to patients with breast rCR.ConclusionAlthough rCR correlated with pCR by only moderate to fair degrees, breast rCR was a strong predictor for a favorable RFS outcome.     

Brain metastases after achieving local pathological complete responses with neoadjuvant chemotherapy

Background  We encountered two patients with inflammatory breast carcinoma who developed symptomatic brain metastases after achieving local pathological complete responses (pCR) with neoadju-vant chemotherapy (NAC). Case presentations  The first patient is a 39-year-old woman (Case 1), who underwent NAC with AC (doxorubicin + cyclophosphamide) followed by weekly paclitaxel. After achieving a clinical CR (cCR), we conducted a modified radical mastectomy. Pathological evaluation confirmed no residual malignant cells within the breast tissue or lymph nodes. However, she developed neurological symptoms from brain metastases one month postoperatively. The second patient is a 44-year-old woman (Case 2). Again, no residual malignant cells were detected within the breast tissue or lymph nodes following NAC, but the patient developed symptomatic brain metastases eight months postoperatively. When primary breast tumors are locally advanced, it may be worthwhile to rule out brain metastases even if pCR is obtained after NAC.     

局部晚期直肠癌新辅助治疗pCR相关因素研究

目的 评价局部晚期直肠癌新辅助治疗后pCR的相关影响因素。方法 回顾分析2011—2013年间收治的265例AJCC分期Ⅱ、Ⅲ期直肠癌患者资料。所有患者均接受新辅助治疗±等待手术间期化疗, 而后手术。运用单因素和二元Logistic回归多因素分析影响pCR的预测因素, 并根据预测危险因素进行归类后分为无风险组(无因素)、低风险组(1个因素)、高风险组(2个因素)。建立临床风险评估模型。因素分析运用二元Logistic回归模型。结果 达pCR者50例(18.9%)。单因素分析中新辅助治疗前CEA、放化疗前T分期、同期放化疗结束至手术间隔时间和放化疗前肿瘤最大厚度对pCR有影响(P=0.017、0.001、0.000、0.040), 多因素分析显示新辅助治疗前CEA水平和同期放化疗结束至手术间隔时间是pCR影响因素(P=0.021、0.001), 进一步分层分析表明只有非吸烟组中新辅助治疗前低水平CEA对pCR有影响(P=0.044)。临床风险评估模型诊断pCR的敏感性为80.5%, 特异性为46.0%, AUC为0.690, 阳性预测值为35.49%, 阴性预测值为86.5%, 准确性为73.9%。结论 新辅助治疗能使部分局部晚期直肠癌患者达pCR。新辅助治疗前低水平CEA和更长的同期放化疗结束至手术间隔时间是局部晚期直肠癌新辅助治疗pCR的预测因素, 而新辅助治疗前低水平CEA对pCR预测只在非吸烟人群中有效。根据新辅助治疗前CEA>5 ng/ml和同期放化疗结束至手术间隔时间≤8周的危险因素建立的临床风险评估模型可用于预测局部晚期直肠癌新辅助治疗pCR率。