Cancer Research and Treatment最新文献

Purpose: The incidence of early-onset colorectal cancer (EoCRC) is increasing worldwide. The association between hypertriglyceridemia (HTG) and EoCRC risk remains unclear.

Materials and methods: We conducted a nationwide cohort study of 3,340,635 individuals aged 20-49 years who underwent health checkups between 2009 and 2011 under the Korean National Health Insurance Service. HTG was defined as serum triglyceride (TG) level ≥ 150 mg/dL. According to the change in TG status, participants were categorized into persistent normotriglyceridemia (NTG; group 1), NTG to HTG (group 2), HTG to NTG (group 3), and persistent HTG (group 4) groups. The EoCRC incidence was followed up until 2019.

Results: In total, 7,492 EoCRC cases developed after a mean of 6.05 years of follow-up. Group 4 had the highest risk of EoCRC (adjusted hazard ratio [aHR], 1.097; 95% confidence interval [CI], 1.025 to 1.174). While the risk of rectal cancer was significantly increased in groups 3 and 4 (aHR [95% CI], 1.236 [1.076 to 1.419] and 1.175 [1.042-1.325], respectively), no significant risk differences were observed in right colon cancer. In group 4, male sex and diabetes were associated with a further increased risk of EoCRC (aHR [95% CI], 1.149 [1.082 to 1.221] and 1.409 [1.169 to 1.699], respectively). In addition, there was a dose-response relationship between serum TG levels and the risk of EoCRC (p for trends < 0.0001).

Conclusion: Persistent HTG increased the risk of EoCRC, which was significantly higher only for rectal cancer and marginally higher for other colonic subsites.

Purpose: The association between immune-related adverse events (irAEs) and survival outcomes in non-small cell lung cancer (NSCLC) patients treated with programmed death-(ligand) 1 [PD-(L)1] inhibitors remains controversial, partly due to variations in dealing with immortal-time bias (ITB).

Materials and methods: We retrospectively enrolled 425 advanced NSCLC patients who received anti-PD-(L)1 monotherapy between January 2016 and June 2021, stratifying them into irAE (n=127) and non-irAE (n=298) groups. The primary endpoint was to assess the impact of irAEs on progression-free survival (PFS) and overall survival (OS). Landmark (2-, 3-, 6-, and 9-month) and time-dependent Cox analyses were performed to eliminate ITB.

Results: With a median follow-up of 38.8 months, the occurrence of overall irAEs was significantly associated with superior PFS (11.2 vs. 3.4 months, p < 0.001) and OS (31.4 vs. 14.0 months, p < 0.001), which persisted in landmark and time-dependent Cox analyses. For the main organ-specific irAEs, skin, thyroid, and hepatic irAEs, respectively, showed significantly improved survival compared to the non-irAE group, whereas pneumonitis did not. Single-organ irAEs had the best outcomes compared with multi-organ or no irAE, which also held across subgroups of skin, thyroid, and hepatic irAEs. Moreover, severe grade irAEs and immunotherapy discontinuation had a detrimental effect on survival, systemic steroid therapy showed little effect, while immunotherapy resumption had tolerable safety and a trend of improved survival.

Conclusion: After adequately adjusting ITB, the occurrence of overall irAEs predicts for favorable efficacy of anti-PD-(L)1 monotherapy in NSCLC, with better outcomes observed in patients with skin, thyroid, or hepatic irAEs, particularly those with single-organ involvement.

Purpose: The role of allogeneic stem cell transplantation (alloSCT) in multiple myeloma (MM) treatment remains controversial. We conducted a retrospective, multicenter, nationwide study in Korea to evaluate the outcomes of alloSCT in Asian patients with MM.

Materials and methods: Overall, 109 patients with MM who underwent alloSCT between 2003 and 2020 were included in this study. Data were collected from the Korean Multiple Myeloma Working Party Registry.

Results: The overall response rate and stringent complete response plus complete response (CR) rates were 67.0 and 46.8%, respectively, after alloSCT. At a median follow-up of 32.5 months, the 3-year probability of progression-free survival (PFS) and overall survival (OS) rates were 69.3% and 71.8%, respectively. The 3-year probabilities of OS rates in the upfront alloSCT, tandem auto-alloSCT, and later alloSCT groups were 75.0%, 88.9%, and 61.1%, respectively. Patients who achieved CR before or after alloSCT had significantly longer OS (89.8 vs. 18 months and 89.8 vs. 15.2 months, respectively). Even though patients who did not achieve CR prior to alloSCT, those who achieve CR after alloSCT had improved PFS and OS compared to those who had no achievement of CR both prior and after alloSCT. Patients who underwent alloSCT with 1-2 prior treatment lines had improved PFS (22.4 vs. 4.5 months) and OS (45.6 vs. 15.3 months) compared to those with three or more prior treatment lines.

Conclusion: AlloSCT may be a promising therapeutic option especially for younger, chemosensitive patients with earlier implementation from relapse.

Purpose: This study aimed to assess the real-world clinical outcomes of consolidative durvalumab in patients with unresectable locally advanced non-small cell lung cancer (LA-NSCLC) and to explore the role of radiotherapy in the era of immunotherapy.

Materials and methods: This retrospective study assessed 171 patients with unresectable LA-NSCLC who underwent concurrent chemoradiotherapy (CCRT) with or without consolidative durvalumab at Asan Medical Center between May 2018 and May 2021. Primary outcomes included freedom from locoregional failure (FFLRF), distant metastasis-free survival (DMFS), progression-free survival (PFS), and overall survival (OS).

Results: Durvalumab following CCRT demonstrated a prolonged median PFS of 20.9 months (p=0.048) and a 3-year FFLRF rate of 57.3% (p=0.008), compared to 13.7 months and 38.8%, respectively, with CCRT alone. Furthermore, the incidence of in-field recurrence was significantly greater in the CCRT-alone group compared to the durvalumab group (26.8% vs. 12.4%, p=0.027). While median OS was not reached with durvalumab, it was 35.4 months in patients receiving CCRT alone (p=0.010). Patients positive for programmed cell death ligand 1 (PD-L1) expression showed notably better outcomes, including FFLRF, DMFS, PFS, and OS. Adherence to PACIFIC trial eligibility criteria identified 100 patients (58.5%) as ineligible. The use of durvalumab demonstrated better survival regardless of eligibility criteria.

Conclusion: The use of durvalumab consolidation following CCRT significantly enhanced locoregional control and OS in patients with unresectable LA-NSCLC, especially in those with PD-L1-positive tumors, thereby validating the role of durvalumab in standard care.

Purpose: To develop an MRI-based radiomics model to predict high-risk pathologic features for lung adenocarcinoma: micropapillary and solid pattern (MPsol), spread through air space (STAS), and poorly differentiated patterns.

Materials and methods: As a prospective study, we screened clinical N0 lung cancer patients who were surgical candidates and had undergone both 18F-fluorodeoxyglucose (FDG) positron emission tomography-CT (PET/CT) and chest CT from August 2018 to January 2020. We recruited patients meeting our proposed imaging criteria indicating high-risk, that is, poorer prognosis of lung adenocarcinoma, using CT and FDG PET/CT. If possible, these patients underwent an MRI examination from which we extracted 77 radiomics features from T1-contrast-enhanced and T2-weighted images. Additionally, patient demographics, SUVmax (maximum standardized uptake value) on FDG PET/CT, and the mean ADC value on DWI, were considered together to build prediction models for high-risk pathologic features.

Results: Among 616 patients, 72 patients met the imaging criteria for high-risk lung cancer and underwent lung MRI. The MR-eligible group showed a higher prevalence of nodal upstaging (29.2% vs. 4.2%, p<0.001), vascular invasion (6.5% vs. 2.1%, p=0.011), high-grade pathologic features (p<0.001), worse 4-year disease free survival (p<0.001) compared with non-MR-eligible group. The prediction power for MR-based radiomics model predicting high-risk pathologic features was good, with mean area under the receiver operating curve (AUC) value measuring 0.751-0.886 in test sets. Adding clinical variables increased the predictive performance for MPsol and the poorly differentiated pattern using the 2021 grading system (AUC 0.860 and 0.907, respectively).

Conclusion: Our imaging criteria can effectively screen high-risk lung cancer patients and predict high-risk pathologic features by our MR-based prediction model using radiomics.

Purpose: The molecular classification of breast cancer is crucial for effective treatment. The emergence of digital pathology has ushered in a new era in which weakly supervised learning leveraging whole-slide images has gained prominence in developing deep learning models because this approach alleviates the need for extensive manual annotation. Weakly supervised learning was employed to classify the molecular subtypes of breast cancer.

Methods: Our approach capitalizes on two whole-slide image datasets: one consisting of breast cancer cases from the Korea University Guro Hospital (KG) and the other originating from The Cancer Genomic Atlas dataset (TCGA). Furthermore, we visualized the inferred results using an attention-based heat map and reviewed the histomorphological features of the most attentive patches.

Results: The KG+TCGA-trained model achieved an area under the receiver operating characteristics value of 0.749. An inherent challenge lies in the imbalance among subtypes. Additionally, discrepancies between the two datasets resulted in different molecular subtype proportions. To mitigate this imbalance, we merged the two datasets, and the resulting model exhibited improved performance. The attentive patches correlated well with widely recognized histomorphologic features. The triple-negative subtype has a high incidence of high-grade nuclei, tumor necrosis, and intratumoral tumor-infiltrating lymphocytes. The luminal A subtype showed a high incidence of collagen fibers.

Conclusions: The artificial intelligence (AI) model based on weakly supervised learning showed promising performance. A review of the most attentive patches provided insights into the predictions of the AI model. AI models can become invaluable screening tools that reduce costs and workloads in practice.

Purpose: Clinical outcomes of surgery after neoadjuvant chemotherapy have not been investigated for locally advanced pancreatic cancer (LAPC), despite well-established outcomes in borderline resectable pancreatic cancer (BRPC). This study aimed to investigate the clinical outcomes of patients with LAPC who underwent curative resection following neoadjuvant chemotherapy.

Materials and methods: We retrospectively reviewed the records of patients diagnosed with pancreatic adenocarcinoma between January 2017 and December 2020.

Results: Among 1,358 patients, 260 underwent surgery following neoadjuvant chemotherapy. Among 356 LAPC patients, 98 (27.5%) and 147 (35.1%) of 418 BRPC patients underwent surgery after neoadjuvant chemotherapy. Compared to resectable pancreatic cancer (resectable PC) with upfront surgery, both LAPC and BRPC exhibited higher rates of venous resection (28.6% vs. 49.0% vs. 4.0%), arterial resection (30.6% vs. 6.8% vs. 0.5%) and greater estimated blood loss (260.5 vs. 213.1 vs. 70.4 mL). However, hospital stay, readmission rates and postoperative pancreatic fistula rates (Grade B or C) did not differ significantly between LAPC, BRPC, and resectable PC. Overall and relapse-free survival did not differ significantly between LAPC and BRPC patients. The median overall survival was 37.3 months for LAPC and 37.0 months for BRPC. The median relapse-free survival was 22.7 months for LAPC and 26.0 months for BRPC.

Conclusion: Overall survival time and postoperative complications in LAPC patients who underwent curative resection following neoadjuvant chemotherapy showed similar results to those of BRPC patients. Further research is needed to identify specific sub-populations of LAPC patients who benefit most from conversion surgery and to minimize postoperative complications.

Purpose: The metabolism of tamoxifen is influenced by various cytochrome p450 enzymes, including CYP2D6 and CYP2C19, leading to variations in the levels of endoxifen, even with the same tamoxifen dosage. However, the clinical significance of endoxifen on the prognosis of breast cancer patients remains controversial. This study aimed to elucidate the relevance of endoxifen level to recurrence-free survival censored with tamoxifen discontinuation (RFSt), representing the RFS for tamoxifen itself, of breast cancer patients and determine a suitable cutoff for prognostication.

Materials and methods: The study included 478 breast cancer patients, and tamoxifen and its metabolites, including endoxifen, were measured using liquid chromatography-tandem mass spectrometry (LC-MS/MS). An optimal cutoff was determined with maximally selected rank statistics. Survival analysis and Cox regression were conducted based on this cutoff.

Results: An endoxifen level of 21.00 ng/mL was the optimal cutoff for prognostication. Survival analysis revealed a statistically significant difference in RFSt between the low endoxifen group (≤ 21.00 ng/mL) and high endoxifen group (> 21.00 ng/mL) (log-rank test, p=0.032). The 10-year probability of RFSt was 83.2% (95% CI, 77.0-89.9%) and 88.3% (95% CI, 83.3-93.5%) in the low and high endoxifen groups, respectively. Multivariable Cox proportional hazards regression indicated endoxifen concentration as a significant factor affecting prognosis, which was adjusted with other clinical characteristics.

Conclusion: Endoxifen could serve as a marker for appropriate tamoxifen treatment, and an endoxifen cutoff of 21.00 ng/mL could be advantageous in prognostication. Based on this cutoff, therapeutic drug monitoring would benefit patients displaying a suboptimal concentration.

Purpose: Hand-foot syndrome (HFS) and hand-foot skin reaction (HFSR) are relatively common toxicities that interfere with the quality of life (QoL) of patients with cancer. Anti-inflammatory tripeptide cream (ATPC) is a complex formulation of anti-inflammatory tripeptides, the CD99-agonist BinterinTM and the Wnt-antagonist WinhibinTM. The present study aimed to assess the therapeutic effects of ATPC in HFS/HFSR associated with anticancer drugs.

Materials and methods: This was a single-center, randomized, double-blind, placebo-controlled trial. Patients who developed grade 1 HFS/HFSR after systemic anticancer treatments were enrolled, and randomly assigned to receive either ATPC or placebo cream (PC) and followed up at 3-week intervals for up to nine weeks. Primary endpoint was the development of grade ≥ 2 HFS/HFSR.

Results: Between April 2019 and July 2022, 60 patients (31 in the ATPC and 29 in the PC group) completed the study. The incidence of grade ≥ 2 HFS/HFSR was significantly lower in the ATPC than in the PC group (25.8% vs. 51.7%, p=0.039). The ATPC showed trends towards a better QoL score, assessed by a HFSR and QoL questionnaire at 9 weeks (26.0 vs. 29.9, p=0.574), and a lower frequency of discontinuation, interruption, or dose reduction of anticancer drugs (51.6% vs. 58.6%, p=0.586) than the PC group over 9 weeks, though without statistical significance.

Conclusion: Our results showed that ATPC significantly decreased the development of grade ≥ 2 HFS/HFSR in patients already with HFS/HFSR. Therefore, ATPC may be an effective treatment for HFS/HFSR associated with anticancer drugs.

Purpose: In 2024, medical researchers in the Republic of Korea were invited to amend the health and medical data utilization guidelines (Government Publications Registration Number: 11-1352000-0052828-14). This study aimed to show the overall impact of the guideline revision, with a focus on clinical genomic data.

Materials and methods: This study amended the pseudonymization of genomic data defined in the previous version through a joint study led by the Ministry of Health and Welfare, the Korea Health Information Service, and the Korea Genome Organization. To develop the previous version, we held three conferences with four main medical research institutes and seven academic societies. We conducted two surveys targeting special genome experts in academia, industry, and institutes.

Results: We found that cases of pseudonymization in the application of genome data were rare and that there was ambiguity in the terminology used in the previous version of the guidelines. Most experts (> ~90%) agreed that the 'reserved' condition should be eliminated to make genomic data available after pseudonymization. In this study, the scope of genomic data was defined as clinical next generation sequencing data, including FASTQ, BAM/SAM, VCF, and medical records. Pseudonymization targets genomic sequences and metadata, embedding specific elements, such as germline mutations, short tandem repeats, single-nucleotide polymorphisms, and identifiable data (for example, ID or environmental values). Expression data generated from multi-omics can be used without pseudonymization.

Conclusion: This amendment will not only enhance the safe use of healthcare data but also promote advancements in disease prevention, diagnosis, and treatment.