Preoperative Chemotherapy Research Articles

Dynamic Anthropometrics in Pancreatic Cancer: Associations Between Body Composition Changes During Neoadjuvant Therapy and Survival Outcomes After Resection.

Assessment of individual tumor biology and response to systemic therapy in pancreatic ductal adenocarcinoma (PDAC) remains a clinical challenge. The significance of anthropometric (body composition) changes during chemotherapy as a surrogate for tumor biology in the setting of localized PDAC is unknown. A retrospective, single-institution analysis of patients with PDAC who received neoadjuvant therapy (NAT) and pancreatectomy from 2017 to 2021 was performed. Radiologic anthropometric analysis used artificial intelligence-driven software to segment and compute total and sub-compartment muscle area, adipose tissue area, and attenuation values at the level of the L3 vertebra. Kaplan-Meier survival estimates, log-rank tests, and multivariable Cox regression models were used in survival analyses. The inclusion criteria were met by 138 patients. Although decreases in muscle and adipose tissue areas during NAT were predominant, a subset of patients experienced an increase in these compartments. Increases in muscle greater than 5% (hazard ratio [HR], 0.352; 95% confidence interval [CI] 0.135-0.918; p=0.033) and increases in adipose tissue greater than 15% (HR, 0.375; 95% CI 0.144-0.978; p=0.045), were significantly associated with improved survival, whereas loss of visceral fat greater than 15% was detrimental (HR 1.853; CI 1.099-3.124; p=0.021). No significant associations with single time-point anthropometrics were observed. Gains in total muscle and adipose mass were associated with improved pathologic response to systemic therapy and less advanced pathologic tumor stage. Dynamic anthropometric analysis during NAT for PDAC is a stronger prognostic indicator than measurements taken at a single point in time. Repeated anthropometric analysis during preoperative chemotherapy may serve as a biomarker for individual tumor biology and response to therapy.

Biomarker Study for Selecting Neoadjuvant Chemotherapy Regimens Based on Prognostic Prediction Using Gastric Cancer Biopsy Specimens from a Phase II Randomized Controlled Trial.

The randomized phase II COMPASS trial revealed that neither the regimen nor the number of courses of preoperative neoadjuvant chemotherapy (NAC) for locally advanced gastric cancer (GC) significantly influence overall survival (OS). However, the impact of NAC regimens on OS may vary from patient to patient. The aim of this study was to identify biomarkers that can predict more appropriate individualized NAC regimens for improved prognosis using biopsy specimens from the COMPASS trial. RNA was extracted from endoscopic biopsy specimens of primary tumors obtained prior to NAC and real-time PCR analysis of 127 genes was conducted to identify those significantly affecting survival in the context of specific NAC regimens. THBS1, MSI1, and IGF2BP3 were identified as significant factors for stratifying survival among different NAC regimens, with statistically significantly interaction p values. Immunohistochemical analysis confirmed that the protein levels of THBS1, MSI1, and IGF2BP3 strongly correlated with their gene expression levels, validating these proteins as reliable biomarkers. This study effectively identified THBS1, MSI1, and IGF2BP3 as promising biomarkers for personalizing NAC regimens in patients with locally advanced GC. By tailoring NAC based on these biomarkers, it is possible to enhance survival outcomes and advance personalized treatment strategies. The findings underscore the potential for incorporating biomarker-guided approaches into clinical trials, aiming to refine and optimize NAC regimens for improved patient-specific treatment efficacy.

Posthepatectomy Liver Failure in Patients with Splenomegaly Induced by Induction Chemotherapy for Colorectal Liver Metastases.

With advances in chemotherapy, conversion surgery is often performed for initially unresectable colorectal cancer liver metastasis (CLM). However, unexpected posthepatectomy liver failure (PHLF) is sometimes associated with chemotherapy-associated liver injuries following long-term chemotherapy. We aimed to identify predictive factors for PHLF after conversion surgery for initially unresectable CLM. We retrospectively identified 774 consecutive patients who underwent initial liver resections for histologically confirmed CLMs between 2010 and 2019 at our institute. We enrolled 107 patients with initially unresectable CLMs. Clinicopathological characteristics were evaluated to determine their association with PHLF. Logistic regression analysis was performed to analyze the predictors of PHLF. Among the 107 patients, PHLF occurred in 15 cases (14%). Multivariate analysis revealed that splenomegaly during preoperative chemotherapy (> 135%) was an independent risk factor for PHLF (P = 0.002; odds ratio 14.30; 95% confidence interval 2.69-76.08). In the analysis limited to the splenomegaly group, lower platelet counts, increased blood loss and operative times, and large liver resection areas (> 100 cm2) were significant risk factors for PHLF (P = 0.018, 0.043, 0.020, and 0.024, respectively). Among them, a liver resection area > 100 cm2 can be calculated preoperatively and correlate with a complex hepatectomy. These findings could help predict PHLF after conversion surgery and induction chemotherapy for initially unresectable CLMs. Careful decisions, including detailed procedures and timing of hepatectomy, should be made before conversion hepatectomy in patients who develop splenomegaly after induction chemotherapy and require complex hepatectomies with a large liver resection area.

The first case of primary malignant melanoma of the esophagus to achieve pathologic complete response after preoperative ipilimumab + nivolumab followed by resection.

Primary malignant melanoma of the esophagus is a rare disease with a poor prognosis. Surgical resection is common, but there is no consensus on perioperative treatment. Studies have reported the efficacy of programmed cell death-1 inhibitors (e.g., nivolumab, pembrolizumab) and anti-cytotoxic T-lymphocyte-associated antigen 4 agents (e.g., ipilimumab) in treating malignant melanoma. Here, we present the first case of primary malignant melanoma of the esophagus with lymph node metastases treated with nivolumab and ipilimumab followed by resection, achieving a pathologic complete response. A 75-year-old man presented with dysphagia. Esophagogastroduodenoscopy revealed a black, elevated lesion in the mid-thoracic esophagus. Biopsy confirmed primary malignant melanoma of the esophagus, showing tumor cells with melanin deposition, positive for HBM45 and S-100 staining. Computed tomography showed enlarged lymph nodes in the subclavian and mediastinum regions, suggesting metastases. After two courses of preoperative chemotherapy with ipilimumab and nivolumab, which significantly shrank the tumor, the patient underwent robot-assisted subtotal esophagectomy and 3-field lymph node dissection. Histopathological examination revealed no tumors or lymph node metastases, confirming a pathologic complete response. Given the rarity and poor prognosis of primary malignant melanoma of the esophagus, this case provides valuable insights for treatment strategies.

Short- and long-term outcomes of liver resection with hepatic vein reconstruction for liver tumors: A nationwide multicenter survey.

This study clarifies the short- and long-term outcomes of liver resection with hepatic vein (HV) reconstruction for liver tumors and identifies the risk factors for poor outcome. We contacted 263 specialized centers in Japan and collected data on this surgical procedure. Patient characteristics, surgical procedures, and outcomes were then analyzed. A total of 187 patients were enrolled from 36 institutions. Grade C post-hepatectomy liver failure (PHLF) and in-hospital mortality were 3.2% and 1.6%, respectively. The median overall survival (OS) and recurrence-free survival (RFS) were 49.9 and 9.8 months, respectively. Surgical outcomes, OS and RFS did not differ among three types of liver tumors, colorectal liver metastasis (CRLM) (n = 127), hepatocellular carcinoma (n = 27), and intrahepatic cholangiocarcinoma (n = 27). Patients with CRLM and seven or more courses of preoperative chemotherapy had significantly worse OS. Compared with HV reconstruction for securing liver remnant (LR) function (n = 148), reconstruction of the only main HV remaining in the LR (n = 39) had significantly worse short-term outcomes, but did not result in increased mortality, and showed equivalent OS and RFS. Liver resection with HV reconstruction can be achieved safely and contributes to a relatively good long-term outcome for patients with advanced liver malignancies.

Late Diagnosis of Hereditary Tyrosinemia Type I: The Case of Two First Cousins

Hereditary Tyrosinemia Type I (HT1) is a rare metabolic disorder caused by a deficiency in fumarylacetoacetate hydrolase, leading to the accumulation of toxic metabolites and resulting in hepatic and renal complications. This case report details a 10-year-old patient from a consanguineous family with a significant history of hepatic failure due to hepatocellular carcinoma. The patient presented with abdominal pain, jaundice, and urinary abnormalities, which led to the diagnosis of HT1, confirmed by elevated succinylacetone levels. Despite initial treatment with nitisinone and a low-protein diet, surgical resection of the hepatic mass was impeded by vascular invasion, necessitating preoperative chemotherapy. This case underscores the importance of early detection and a multidisciplinary approach in managing HT1, highlighting ongoing research into advanced therapies and genetic interventions to improve patient outcomes.

How to determine the course of preoperative chemotherapy for spinal tuberculosis: A single-center clinical study.

This study aims to explore the clinical efficacy and feasibility of preoperative 1-week chemotherapy for patients with spinal tuberculosis (STB) undergoing complete lesion removal. Clinical data of 76 patients with STB who underwent complete focal debridement in our hospital were collected from June 2020 to September 2023. The patients were divided into 38 cases of preoperative 1-week chemotherapy group (Group A) according to the length of preoperative chemotherapy, and 38 cases of preoperative 2 to 4-week chemotherapy group (Group B). Perioperative related, imaging, and laboratory examination indices as well as postoperative neurological function recovery, postoperative pain recovery, related complications, and clinical efficacy were analyzed to compare the clinical efficacy of the 2 groups. All patients successfully completed the treatment of stage I complete lesion removal combined with bone grafting fusion and internal fixation. The difference in erythrocyte setting rate and C-reactive protein at the same postoperative observation time between the 2 groups was not statistically significant (P > .05). The visual analogue scale scores of patients in the 2 groups decreased significantly with prolonged time, and the difference was statistically significant (P < .05). All patients achieved satisfactory clinical efficacy (P < .05). All patients achieved good clinical outcomes, the difference between the groups was not statistically significant (P > .05). The difference in incision healing rate at 3 months postoperatively and bone graft fusion rate at 6 months postoperatively was not statistically significant between the 2 groups (P > .05). The dissemination and recurrence of Mycobacterium tuberculosis were not statistically significantly different between the 2 groups after surgery (P > .05). In summary, with complete lesion clearance, 1 week of preoperative chemotherapy is feasible in patients with STB with varying degrees of neurological dysfunction.

Predictive factors for pathological complete response to neoadjuvant therapy in locally advanced rectal cancer: a review of current research

The guidelines advocate for preoperative neoadjuvant radiotherapy and chemotherapy in cases of middle and low locally advanced rectal cancer. While some patients achieved pathological complete response (pCR), which is favorable and allows for potential organ preservation, treatment sensitivity varies and not all patients reach pCR. Identifying the factors influencing pCR is important for enhancing the effectiveness of neoadjuvant therapy and improving patient outcomes. Previous research has identified various factors associated with response to neoadjuvant therapy, which can serve as predictors of pCR. This study reviews recent literature on imaging, pathological, genetic, and molecular characteristics, laboratory indices, and therapeutic factors related to tumor response, both domestically and internationally. The aim is to summarize the latest advancements in understanding the factors associated with pCR in patients with locally advanced middle and low rectal cancer undergoing neoadjuvant therapy, thereby providing a theoretical foundation for standardized clinical treatment approaches.

Should a borderline negative HER2 result in a core biopsy of invasive carcinoma of the breast have HER2 assessment repeated in the excision specimen?

AimThe 2015 UK guidelines for HER2 assessment in breast cancer recommended repeat assessment if the core biopsy was scored as 2+ on HER2 immunohistochemistry (IHC) with borderline negative in situ...

Which prognostic model best predicts poor prognosis in patients with spinal metastases? A comparative analysis of 8 scoring systems

Existing scoring system's comparative effectiveness in identifying patients with poor prognosis (i.e., <6 months survival) has not been thoroughly explored. We compared the predictive performance of eight prognostic scoring systems (Tomita, modified Tokuhashi, modified Bauer, Rades, Oncological Spinal Prognostic Index, Lei, New England Spinal Metastasis Score, and the skeletal oncology research group (SORG) nomogram) with the area under curve (AUC) from receiver operating characteristic (ROC) curves and evaluated the predictive accuracy for 6-month survival across different primary tumor origins, and 1-month survival. Logistic regression was used to identify factors associated with 6-month survival. 641 patients with spinal metastasis treated between 1994 and 2022 were included. The SORG nomogram showed best performance with low discriminative power in predicting 6-month survival (AUC [95% confidence interval (CI)]: 0.664 [0.584-0.744]). Logistic regression analysis identified significant factors influencing 6-month survival, including primary cancer type in Lei's classification, preoperative Frankel grades C and D, or grades A and B compared with grade E, preoperative WBC, preoperative albumin, and preoperative chemotherapy. For 1-month survival predictions, both the SORG nomogram (AUC [95% CI]: 0.750 [0.648-0.851]) and modified Tokuhashi score (AUC [95% CI]: 0.667 [0.552-0.781]) showed significance, albeit with moderate to low discriminative power. This study shows that most scoring systems have low discriminative power, with only the SORG nomogram having moderate power for predicting poor prognosis. Recent and future advances in treatment, laboratory markers, and our understanding of tumor biology should be incorporated into prognostic models to improve their accuracy.

High levels of autotaxin and lysophosphatidic acid predict poor outcome in treatment of resectable gastric carcinoma

BackgroundAlthough early-stage gastric cancer is a candidate for curative surgical resection, the absence of specific early symptoms results in a late diagnosis and consequently most patients present advanced or metastatic disease. Identifying noveland tumor-specific biomarkers is needed to increase early detection and match patients to the appropriate treatment. The present study focused on the possible prognostic role of Ectonucleotide Pyrophosphatase/Phosphodiesterase 2 (ENPP2)/Autotaxin (ATX) and lysophosphatidic acid (LPA) in Gastro-Esophageal Adenocarcinoma (GEA). High levels of ATX/LPA are associated with several malignancies including gastrointestinal tumors. MethodsUsing a bioinformatics analysis, the incidence of ENPP2 mutations together with its expression in the tumor tissues and the correlation between the presence of mutations and the survival rate were examined in databases of GEA patients. Furthermore, circulating levels of ATX and LPA were studied retrospectively and longitudinally both in patients receiving frontal surgery and in patients receiving preoperative chemotherapy. ResultsOverall findings suggested that although ENPP2 mutations occur at low incidence, their presence was associated with a particular poor Overall Survival (OS). Furthermore, removal of the tumour by surgery resulted in a decrease in serum ATX and LPA levels within five days, regardless of any previous chemotherapy. Basal circulating ATX were associated with the aggressive diffuse GEA and could be considered of negative prognostic value, mainly in combination models with circulating Carcino-Embryonic Antigen (CEA). ConclusionsBased on these observations, clinical trials with ATX-targeted drugs and standard chemotherapy regimens may benefit from selecting GEA patients based on their levels of ATX, LPA and CEA.

Surgical management and outcomes of renal tumors with inferior vena cava extension among children: a single center retrospective study from Pakistan

ObjectiveThe aim of this study was to assess management and determine outcomes of renal tumors with inferior vena cava (IVC) and intracardiac (IC) extension in a tertiary care center in Pakistan.MethodsA retrospective chart review was conducted at the Aga Khan University Hospital, Karachi, Pakistan. All patients from 1 to 18 years of age with renal tumors with intravascular extensions, surgically managed from January 1988 till June 2016, were included. Data was extracted by reviewing medical records, and the tumor details, treatment and outcomes were analyzed.ResultsA total of 18 patients out of the total 61 patients with renal tumors, presented with IVC and/or IC extension, with the majority involving the right kidney. Mean age was 5.9 (SD:4.9) and a female preponderance (56%) was seen. Wilms tumor (77%) was the most common tumor type, with the level of tumor extension into IVC predominantly being below the diaphragm (55.5%). Fourteen patients received preoperative chemotherapy, with tumor regression, seen in 10. Most patients underwent thrombectomy through the renal vein (56%). Regarding outcomes, frequency of mortality and morbidity was 1 and 2, respectively, with 7 patients having no recurrent 5 years post-surgery.ConclusionA greater incidence (29.5%) of IVC and or IC Tumor extension was found compared to existing literature, which could likely be due to a higher referral rate to the center. Moreover, this is a single-center study and so a multi-center study is crucial to form an assessment of surgical management in resource-limited settings. Our study is the first from Pakistan on this particular renal tumor presentation. Considering the varying case presentations and surgical techniques used, further studies are needed to standardize surgical management and optimize patient outcomes.

Perioperative systemic and prophylactic intraperitoneal chemotherapy for type 4/large type 3 gastric cancer: DRAGON-10.

Large type 3 and type 4 gastric cancers (GC) have a significantly poor prognosis, primarily due to their high predisposition for peritoneal dissemination. The application of intraperitoneal chemotherapy has emerged as a viable therapeutic strategy for managing GC patients with peritoneal metastasis. This study is planned to enroll 37 resectable large type 3 or type 4 GC patients. These patients are scheduled to undergo a treatment comprising preoperative chemotherapy with paclitaxel, oxaliplatin and S-1, followed by D2 gastrectomy, and concluding with postoperative treatments that include prophylactic intraperitoneal chemotherapy. The study's primary objective is to evaluate the 3-year peritoneal recurrence rate. Secondary objectives are to assess the 3-year disease-free survival, 3-year overall survival and to monitor the adverse events.Clinical trial registration number: ChiCTR2400083253 (https://www.chictr.org.cn).

Primary breast lymphoma mimicking triple-negative breast cancer: a case report with clinical and pathological implications

BackgroundPrimary breast lymphoma (PBL) is a rare type of extranodal lymphoma, the diagnostic process for which presents significant challenges owing to an overlap in clinical and pathological features with those observed in triple-negative breast cancer (TNBC). However, the current literature reveals a paucity of information regarding the ramifications of potential diagnostic errors, particularly in the context of emergent therapeutic strategies for TNBC. Thus, we present a unique report of a case of PBL.Case presentationA 76-year-old female with no past medical or family history presented to the hospital with the chief complaint of a mass in the right breast. Two masses were palpated in the right breast: one 56 mm mass (No. 1) located at 10 o'clock, and a 21 mm large, elastic, hard mass (No. 2) at 4 o'clock. Needle biopsy was performed only on the larger 56 mm mass (No. 1). The results showed invasive carcinoma that was negative for estrogen receptor, progesterone receptor, and human epidermal growth factor receptor-2. The preoperative diagnosis was right breast cancer (T3N0M0 Stage IIB) of the TNBC subtype. The patient refused the preoperative chemotherapy recommended by the treatment team; therefore, right breast mastectomy and sentinel lymph-node biopsy were performed instead. The histopathological diagnosis of the first mass was diffuse large B-cell lymphoma (DLBCL); that of the second mass (No. 2) was an invasive breast carcinoma of no special type. Postoperative treatment consisted of endocrine therapy (letrozole) for breast cancer, while the DLBCL was treated with chemotherapy and three courses of intrathecal chemotherapy. At the time of this report, the patient is still living, and neither tumor had recurred in the 2 years following surgery.ConclusionsOn rare occasions, PBL can preoperatively mimic TNBC. While this case did not lead to serious consequences, because surgery was eventually selected as the first therapy, clinicians should be aware that the diagnosis of PBL is challenging using only a core-needle biopsy and can often be misdiagnosed as TNBC.

Circulating tumor DNA predicts recurrence and survival in patients with resectable gastric and gastroesophageal junction cancer.

Gastric and gastroesophageal junction (GEJ) cancer represents a significant global health challenge, with high recurrence rates and poor survival outcomes. This study investigates circulating tumor DNA (ctDNA) as a biomarker for assessing recurrence risk in patients with resectable gastric and GEJ adenocarcinomas (AC). Patients with resectable gastric and GEJ AC, undergoing perioperative chemotherapy and surgery, were prospectively enrolled. Serial plasma samples were collected at baseline, after one cycle of chemotherapy, after preoperative chemotherapy, and after surgery. ctDNA was assessed by a ddPCR test (TriMeth), which targets the gastrointestinal cancer-specific methylation patterns of the genes C9orf50, KCNQ5, and CLIP4. ctDNA analysis was performed on 229 plasma samples from 86 patients. At baseline, ctDNA was detected in 56% of patients, which decreased to 37% following one cycle of chemotherapy, 25% after preoperative chemotherapy and 15% after surgical resection. The presence of ctDNA after one cycle of chemotherapy was associated with reduced recurrence-free survival (RFS) (HR = 2.54, 95% confidence interval (CI) 1.33-4.85, p = 0.005) and overall survival (OS) (HR = 2.23, 95% CI 1.07-4.62, p = 0.032). Similarly, ctDNA after surgery was associated with significantly shorter RFS (HR = 6.22, 95% CI 2.39-16.2, p < 0.001) and OS (HR = 6.37, 95% CI 2.10-19.3, p = 0.001). Multivariable regression analysis confirmed ctDNA after surgery as an independent prognostic factor (p < 0.001). ctDNA analysis has the potential to identify patients at elevated risk of recurrence, thus providing personalized treatment strategies for patients with resectable gastric and GEJ cancer. Further validation in larger cohorts and ctDNA-guided interventions are needed for future clinical use.

Bulk integrated single-cell-spatial transcriptomics reveals the impact of preoperative chemotherapy on cancer-associated fibroblasts and tumor cells in colorectal cancer, and construction of related predictive models using machine learning

BackgroundPreoperative chemotherapy (PC) is an important component of Colorectal cancer (CRC) treatment, but its effects on the biological functions of fibroblasts and epithelial cells in CRC are unclear. MethodsThis study utilized bulk, single-cell, and spatial transcriptomic sequencing data from 22 independent cohorts of CRC. Through bioinformatics analysis and in vitro experiments, the research investigated the impact of PC on fibroblast and epithelial cells in CRC. Subpopulations associated with PC and CRC prognosis were identified, and a predictive model was constructed using machine learning. ResultsPC significantly attenuated the pathways related to tumor progression in fibroblasts and epithelial cells. NOTCH3 + Fibroblast (NOTCH3 + Fib), TNNT1 + Epithelial (TNNT1 + Epi), and HSPA1A + Epithelial (HSPA1A + Epi) subpopulations were identified in the adjacent spatial region and were associated with poor prognosis in CRC. PC effectively diminished the presence of these subpopulations, concurrently inhibiting pathway activity and intercellular crosstalk. A risk signature model, named the Preoperative Chemotherapy Risk Signature Model (PCRSM), was constructed using machine learning. PCRSM emerged as an independent prognostic indicator for CRC, impacting both overall survival (OS) and recurrence-free survival (RFS), surpassing the performance of 89 previously published CRC risk signatures. Additionally, patients with a high PCRSM risk score showed sensitivity to fluorouracil-based adjuvant chemotherapy (FOLFOX) but resistance to single chemotherapy drugs (such as Bevacizumab and Oxaliplatin). Furthermore, this study predicted that patients with high PCRSM were resistant to anti-PD1therapy. ConclusionIn conclusion, this study identified three cell subpopulations (NOTCH3 + Fib, TNNT1 + Epi, and HSPA1A + Epi) associated with PC, which can be targeted to improve the prognosis of CRC patients. The PCRSM model shows promise in enhancing the survival and treatment of CRC patients.

Computed Tomography-Based Radiomics with Machine Learning Outperforms Radiologist Assessment in Estimating Colorectal Liver Metastases Pathologic Response After Chemotherapy.

This study was designed to assess computed tomography (CT)-based radiomics of colorectal liver metastases (CRLM), extracted from posttreatment scans in estimating pathologic treatment response to neoadjuvant therapy, and to compare treatment response estimates between CT-based radiomics and radiological response assessment by using RECIST 1.1 and CT morphologic criteria. Patients who underwent resection for CRLM from January 2003-December 2012 at a single institution were included. Patients who did not receive preoperative systemic chemotherapy, or without adequate imaging, were excluded. Imaging characteristics were evaluated based on RECIST 1.1 and CT morphologic criteria. A machine-learning model was designed with radiomic features extracted from manually segmented posttreatment CT tumoral and peritumoral regions to identify pathologic responders (≥ 50% response) versus nonresponders. Statistical analysis was performed at the tumor level. Eighty-five patients (median age, 62 years; 55 women) with 95 tumors were included. None of the subjectively evaluated imaging characteristics were associated with pathologic response (p > 0.05). Inter-reader agreement was substantial for RECIST categorical response assessment (K = 0.70) and moderate for CT morphological group response (K = 0.50). In the validation cohort, the machine learning model built with radiomic features obtained an area under the curve (AUC) of 0.87 and outperformed subjective RECIST assessment (AUC = 0.53, p = 0.01) and morphologic assessment (AUC = 0.56, p = 0.02). Radiologist assessment of oligometastatic CRLM after neoadjuvant therapy using RECIST 1.1 and CT morphologic criteria was not associated with pathologic response. In contrast, a machine-learning model based on radiomic features extracted from tumoral and peritumoral regions had high diagnostic performance in assessing responders versus nonresponders.

Feasibility of major hepatectomy following preoperative chemotherapy for advanced perihilar cholangiocarcinoma

BackgroundThe safety of major hepatectomy following preoperative chemotherapy for perihilar cholangiocarcinoma (PHCC) is underexplored. This study evaluates the impact of preoperative chemotherapy on surgical outcomes and assesses chemotherapy-induced liver injury in patients with advanced PHCC. MethodsThis retrospective study included 62 PHCC patients who underwent surgery between January 2019 and January 2024. Patients were divided into an upfront surgery group (UFS, n = 31) and a preoperative chemotherapy group (POC, n = 31). Preoperative chemotherapy was indicated when R0/R1 resection was unachievable, complex surgery was needed, or future liver reserve was insufficient. Baseline characteristics, surgical procedures, postoperative complications, and pathological findings were compared. ResultsPostoperative complications were comparable between groups, with Clavien-Dindo grade ≥3a rates of 30.7 % in the POC group and 24.3 % in the UFS group. Despite longer operative times and hospital stays in the POC group, no significant differences in hepatotoxicity or pathological findings, including Kleiner and Rubbia-Brandt scores, were observed. Notably, a pathological complete response was achieved in 12.9 % of the POC group. ConclusionMajor hepatectomy following preoperative chemotherapy for PHCC is safe and does not increase the risk of postoperative complications or hepatotoxicity. Further studies are warranted to refine resectability criteria and optimize patient selection.

Optimal Sequence for Total Neoadjuvant Therapy in Locally Advanced Rectal Cancer: An Evidence-Based Review.

Historically, multimodal therapeutic strategies involving preoperative chemoradiotherapy (CRT), surgery, and adjuvant chemotherapy (CT) have been employed to treat locally advanced rectal cancer (LARC). Total Neoadjuvant Therapy (TNT) is showing promise in improving outcomes. Despite its benefits, the optimal sequencing within TNT-whether induction chemotherapy should precede or follow chemoradiotherapy-remains a critical question. This study endeavors to explore the effects of different TNT sequencing strategies on patient outcomes, including tumor downstaging, pathological response, organ preservation, and the balance between efficacy and tolerability. Our methodology entailed a comprehensive literature review conducted on Medline, focusing on recent research, including retrospective studies, systematic reviews, and clinical trials. The review emphasized the comparison of induction chemotherapy versus consolidation chemotherapy within TNT regimens, assessing outcomes such as pathological response, organ preservation rates, and adverse effects. To ensure the selection of appropriate and high-quality studies, specific inclusion and exclusion criteria were applied. The analysis revealed that induction chemotherapy might lead to decreased adherence to subsequent chemoradiotherapy while offering an early intervention against micrometastasis and potentially improving overall chemotherapy compliance. Conversely, consolidation chemotherapy has been associated with higher pathological complete response (pCR) rates and improved tolerability, indicating its potential for patients requiring local symptom relief or those eligible for a nonoperative management approach. Comparative studies like CAO/ARO/AIO-12 and the OPRA trials have significantly contributed to our understanding, suggesting that while both strategies have distinct advantages, the choice between induction and consolidation chemotherapy should be tailored based on individual patient profiles and tumor characteristics. This narrative review underscores the importance of a nuanced approach to TNT sequencing in locally advanced rectal cancer, highlighting the need for further research to refine treatment strategies.

Machine learning model predicting factors for incisional infection following right hemicolectomy for colon cancer

Background and aimColorectal cancer is a prevalent malignancy worldwide, and right hemicolectomy is a common surgical procedure for its treatment. However, postoperative incisional infections remain a significant complication, leading to prolonged hospital stays, increased healthcare costs, and patient discomfort. Therefore, this study aims to utilize machine learning models, including random forest, support vector machine, deep learning models, and traditional logistic regression, to predict factors associated with incisional infection following right hemicolectomy for colon cancer.MethodsClinical data were collected from 322 patients undergoing right hemicolectomy for colon cancer, including demographic information, preoperative chemotherapy status, body mass index (BMI), operative time, and other relevant variables. These data are divided into training and testing sets in a ratio of 7:3. Machine learning models, including random forest, support vector machine, and deep learning, were trained using the training set and evaluated using the testing set.ResultsThe deep learning model exhibited the highest performance in predicting incisional infection, followed by random forest and logistic regression models. Specifically, the deep learning model demonstrated higher area under the receiver operating characteristic curve (ROC-AUC) and F1 score compared to other models. These findings suggest the efficacy of machine learning models in predicting risk factors for incisional infection following right hemicolectomy for colon cancer.ConclusionsMachine learning models, particularly deep learning models, offer a promising approach for predicting the risk of incisional infection following right hemicolectomy for colon cancer. These models can provide valuable decision support for clinicians, facilitating personalized treatment strategies and improving patient outcomes.