Genomic landscape and clinical utility of Korean advanced pan-cancer patients from prospective clinical sequencing: K-MASTER program

2021 ◽  
pp. candisc.1064.2021
Author(s):  
Kyong Hwa Park ◽  
Jung Yoon Choi ◽  
Ah-reum Lim ◽  
Ju Won Kim ◽  
Yoon Ji Choi ◽  
...  
Keyword(s):  
Cancer Patients ◽  
Clinical Utility ◽  
Master Program ◽  
Clinical Sequencing ◽  
Genomic Landscape ◽  
Pan Cancer

Clinical utility of ABCB1 and ABCG2 genotyping for assessing the clinical and pathological response to FAC therapy in Mexican breast cancer patients

2021 ◽  
Author(s):  
Eneida Turiján-Espinoza ◽  
Víctor Manuel Ruíz-Rodríguez ◽  
Edith Elena Uresti-Rivera ◽  
Ernesto Martínez-Leija ◽  
José de Jesús Zermeño-Nava ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cancer Patients ◽  
Clinical Utility ◽  
Pathological Response ◽  
Breast Cancer Patients

scholarly journals Clinical utility of the C‐reactive protein:albumin ratio in non‐small cell lung cancer patients treated with nivolumab

2021 ◽  
Author(s):  
Taisuke Araki ◽  
Kazunari Tateishi ◽  
Kei Sonehara ◽  
Shuko Hirota ◽  
Masamichi Komatsu ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Small Cell Lung Cancer ◽  
Cancer Patients ◽  
Cell Lung Cancer ◽  
Clinical Utility ◽  
Small Cell ◽  
Small Cell Lung ◽  
Lung Cancer Patients

scholarly journals P35.29 The Genomic Landscape of Lung Cancer Patients Highlights Age-Dependent Mutation Frequencies and Clinical Actionability in Young Patients

2021 ◽  
Vol 16 (3) ◽  
pp. S433
Author(s):  
L. Cai ◽  
Y. Chen ◽  
X. Tong ◽  
X. Wu ◽  
H. Bao ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Cancer Patients ◽  
Young Patients ◽  
Lung Cancer Patients ◽  
Genomic Landscape ◽  
Age Dependent

Comparing of pan-cancer tumor immune microenvironment.

2021 ◽  
Vol 39 (15_suppl) ◽  
pp. e15100-e15100
Author(s):  
Jiaan Ye ◽  
Longgang Cui ◽  
Xiaochen Zhao ◽  
Guanghui Lan
Keyword(s):  
Colorectal Cancer ◽  
T Cells ◽  
Natural Killer Cell ◽  
Natural Killer ◽  
Cancer Patients ◽  
Killer Cell ◽  
Immune Microenvironment ◽  
Hepatobiliary Cancer ◽  
Tumor Immune Microenvironment ◽  
Pan Cancer

e15100 Background: Cancer treatment has entered the era of immune checkpoint inhibitors (ICI), but different tumors have different responses to ICI drugs. For example, non-small cell lung cancer and melanoma have higher response rates to ICIs than colorectal cancer and liver cancer patients. Previous studies have shown that tumor immune microenvironment have a great impact on the efficacy of ICI. Methods: This study retrospectively included pan-cancer patient specimens, using multiple fluorescent labeling immunohistochemistry to explore the differences in the immune microenvironment of different tumors. Shapiro-Wilk was used for normality test, and ANOVA or Kruskal Wallis test was used according to the results. Two-sided P < 0.05 was considered a significant difference. Results: The study included 308 patients, including 119 (38.6%) NSCLC patients, 72 (23.4%) Colorectal cancer patients, 51 (16.6%) Hepatobiliary cancer patients and 66 (21.4%) Others types of cancer patients. Among them, there was 192 (62.3%) Male, and 116 (37.7%) Female, and the median age was 57 (50-66). The proportion of CD8+ T cells and natural killer cell in tumor was statistically different. The proportion of CD8+ T cells in NSCLC, Colorectal cancer, Hepatobiliary cancer and others was 2.16%, 1%, 1.77% and 2.63%, p < 0.01; the proportion of natural killer cell was 16.44 %, 4.91%, 5.58% and 3.29%, p < 0.01. Conclusions: Different tumor types have different immune microenvironments. These results may provide valuable clues for future ICI trail design.

Disparities in pan-cancer patients undergoing germline cancer risk assessment by self-reported race/ethnicity and ancestry.

2021 ◽  
Vol 39 (15_suppl) ◽  
pp. 10508-10508
Author(s):  
Ying L Liu ◽  
Anna Maio ◽  
Yelena Kemel ◽  
Erin E. Salo-Mullen ◽  
Margaret Sheehan ◽  
...  
Keyword(s):  
Cancer Risk ◽  
Cancer Patients ◽  
Cancer Genetics ◽  
Statistical Tests ◽  
Cancer Risk Assessment ◽  
Clinical Genetics ◽  
Multiple Tumor ◽  
Race Ethnicity ◽  
Pan Cancer

10508 Background: Disparities in access to germline testing for cancer patients (pts) have been demonstrated; however, disparities in post-testing care are unknown. We sought to evaluate germline findings and subsequent genetic counseling/care in cancer pts undergoing tumor-germline sequencing to explore differences by self-reported ancestry. Methods: Pan-cancer pts were prospectively consented to tumor-normal sequencing via a custom NGS panel (MSK-IMPACT) from 1/2015-12/2019 inclusive of germline analysis up to 88 genes. Germline analysis was performed as a research non-billable test in 97.5% of cases. Referral to clinical genetics service (CGS) was recommended for all pts with a new positive (likely pathogenic/pathogenic) germline variant (PV). Ancestry was defined using self-reported Federal definitions of race/ethnicity and designations of Ashkenazi Jewish (AJ) ancestry. Pts were categorized into mutually exclusive groups: AJ, White, Non-White (Asian, Black/African American, Hispanic, Other), and unknown. All pts self-identifying as Hispanic were classified as such, regardless of race. Abstracted data on germline findings and downstream CGS follow-up were compared across groups using non-parametric statistical tests. Results: Among the 15,775 pts in this cohort (59.6% White, 15.7% AJ, 20.5% Non-White [6.9% Asian, 6.8% Black, 6.7% Hispanic, 0.1% Other], and 4.2% unknown), 2663 (17%) had a PV. AJ pts had the highest rates of PV (n = 683, 27.6%), and Non-White pts had a lower proportion of PV (n = 433, 13.6%) compared to Whites (n = 1451, 15.5%), p < 0.01, with differences mostly due to increased prevalence of moderate/low penetrance variants in White and AJ pts . These findings were consistent across multiple tumor types. Prior knowledge of the PV (424/2663, 16%) was more common in Non-White (19.9%) and AJ (19.2%) than White pts (13.4%), p < 0.01. Among 2239 pts with new PV, all were referred to CGS, and 1652 (73.8%) pts were seen. Non-White pts had lower rates of completing visits (67.7%) than White (73.7%) and AJ pts (78.8%), p < 0.01, with the lowest rates occurring in Black (63%) and Hispanic (68.1%) pts. All pts without a visit (n = 587) received a close out letter including 139 pts (6.2% of pts with new PV) who had no documentation of receipt of results in the medical record. Higher rates of non-disclosure were observed in Non-White (6.7%) compared to White (5.4%) and AJ (3.4%) pts with new PV, p = 0.032; non-disclosure did not vary by gene penetrance. There was a non-significant trend towards lower rates of cascade testing at CGS in Asian and Black pts with ongoing analysis. Conclusions: Even when traditional barriers to genetic testing were minimized, Non-White pts were less likely to receive recommended cancer genetics follow-up for subsequent cancer risk counseling, with potential implications for oncological care, cancer risk reduction, and at-risk family members.

Exploration of the MSI landscape in Chinese pan-cancer patient by Next-Generation Sequencing.

2021 ◽  
Vol 39 (15_suppl) ◽  
pp. e14576-e14576
Author(s):  
Xinlu Liu ◽  
Jiasheng Xu ◽  
Jian Sun ◽  
Deng Wei ◽  
Xinsheng Zhang ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Correlation Analysis ◽  
Cancer Patients ◽  
Cancer Type ◽  
Multiple Tumor ◽  
Treatment Plans ◽  
Cancer Types ◽  
Chinese Cancer Patients ◽  
Colorectal Cancer Patients ◽  
Pan Cancer

e14576 Background: Clinically, MSI had been used as an important molecular marker for the prognosis of colorectal cancer and other solid tumors and the formulation of adjuvant treatment plans, and it had been used to assist in the screening of Lynch syndrome. However, there were currently few reports on the incidence of MSI-H in Chinese pan-cancer patients. This study described the occurrence of MSI in a large multi-center pan-cancer cohort in China, and explored the correlation between MSI and patients' TMB, age, PD-L1 expression and other indicators. Methods: The study included 8361 patients with 8 cancer types from multiple tumor centers. Use immunohistochemistry to detect the expression of MMR protein (MLH1, MSH2, MSH6 and PMS2) in patients with various cancer types to determine the MSI status and detect the expression of PD-L1 in patients. Through NGS technology, 831 genes of 8361 Chinese cancer patients were sequenced and the tumor mutation load of the patients was calculated. The MSI mutations of patients in 8 cancer types were analyzed and the correlation between MSI mutations of patients and the patient's age, TMB and PD-L1 expression was analyzed. Results: The test results showed that MSI patients accounted for 1.66% of pan-cancers. Among them, MSI-H patients accounted for the highest proportion in intestinal cancer, reaching 7.2%. The correlation analysis between MSI and TMB was performed on patients of various cancer types. The results showed that: in each cancer type, MSI-H patients had TMB greater than 10, and 26.83% of MSI-H patients had TMB greater than 100 in colorectal cancer patients. The result of correlation analysis showed that there was no significant correlation between the patient's age and the risk of MSI mutation ( P> 0.05). In addition to PAAD and LUAD, the expression of PD-L1 in MSI-H patients was higher than that in MSS patients in other cancer types( P< 0.05). The correlation analysis between PD-L1 expression and TMB in patients found that in colorectal cancer, the higher the expression of PD-L1, the higher the patient's TMB ( P< 0.05). Conclusions: In this study, we explored the incidence of MSI-H in pan-cancer patients in China and found that the TMB was greater than 10 in patients with MSI-H. Compared with MSS patients, MSI-H patients have higher PD-L1 expression, and the higher the PD-L1 expression in colorectal cancer, the higher the TMB value of patients.

An ultrasensitive method for noninvasive pan-cancer early detection based on targeted methylation sequencing of cell-free DNA.

2021 ◽  
Vol 39 (15_suppl) ◽  
pp. 10544-10544
Author(s):  
Tiancheng Han ◽  
Yuanyuan Hong ◽  
Pei Zhihua ◽  
Song Xiaofeng ◽  
Jianing Yu ◽  
...  
Keyword(s):  
Cancer Patients ◽  
Cancer Detection ◽  
Real World ◽  
Early Stage ◽  
Validation Dataset ◽  
Cpg Sites ◽  
Free Dna ◽  
Cancer Types ◽  
Discovery Dataset ◽  
Pan Cancer

10544 Background: Screening the biomarkers from the cell-free DNA (cfDNA) of peripheral blood is a non-invasive and promising method for cancer diagnosis. Among diverse types of biomarkers, epigenetic biomarkers have been reported to be one of the most promising ones. Epigenetic modifications are widespread on the human genome and generally have strong signals due to the similar methylation patterns shared by adjacent CpG sites. Although some epigenetic diagnostic methods have been developed based on cfDNAs, few of them could be applied to pan-cancer and their sensitivities are barely satisfactory for early cancer detection. Methods: Targeted methylation sequencing was performed using our in-house-designed panel targeting regions with abundant cancer-specific methylation CpGs. The cfDNA samples from 80 healthy individuals and 549 cancer patients of 14 cancer types were separately sequenced. The dataset was randomly split into one discovery dataset and one validation dataset. Moreover, cfDNA samples from four cancer patients were diluted with the healthy cfDNAs to generate 12 in vitro simulated samples with low circulating tumor DNA (ctDNA) fraction. Additionally, DNAs extracted from 130 unmatched tumor formalin fixation and paraffin embedding (FFPE) samples of 10 cancer types were sequenced to screen the diagnostic biomarkers. Adjacent CpG sites were first merged into methylation-correlated blocks (MCB) according to their correlations of methylation levels in tumor DNAs. The MCBs with higher methylation levels in tumor DNAs than that of healthy cfDNAs (from the discovery dataset) were defined as our hypermethylation biomarkers. For each cfDNA sample, a hypermethylation score (HM-score) was computed to measure the overall methylation level difference of selected biomarkers. The performance of our method was evaluated with the real-world dataset, while the limit of detection was estimated using the simulated low-ctDNA samples. Results: Our model based on 37 hypermethylation MCB biomarkers achieved an area under the curve (AUC) of 0.89 and 0.86 in the real-world pan-cancer discovery and validation cfDNA datasets, respectively. Furthermore, the overall specificity and sensitivity are 100% and 76.19% in the discovery dataset, and 96.67% and 72.86% in the validation dataset. In the validation dataset, 28/40 (70%) of early-stage colorectal cancer patients and 10/20 (50%) of non-small-cell lung cancer patients were successfully diagnosed. Additionally, all the simulated samples with theoretical ctDNA factions over 0.5% were predicted as diseased, demonstrating the ability of our method to detect tumor signals at early stages. Conclusions: Our cfDNA-based epigenetic method outperforms currently available methods in various cancer types, and is promising to be applied to early-stage cancer detection and samples with low ctDNA fractions.

A pan-cancer study on characteristic of CDK4/6 amplification between Chinese and Western patients.

2021 ◽  
Vol 39 (15_suppl) ◽  
pp. e15074-e15074
Author(s):  
Yamin Zhang ◽  
Zilin Cui ◽  
Rui Shi ◽  
Xiaolong Liu ◽  
Yang Li ◽  
...  
Keyword(s):  
Soft Tissue ◽  
Liver Cancer ◽  
Soft Tissue Sarcoma ◽  
Lung Adenocarcinoma ◽  
Ovarian Carcinoma ◽  
Cancer Patients ◽  
Stomach Carcinoma ◽  
Chinese Cohort ◽  
Cancer Types ◽  
Pan Cancer

e15074 Background: CDK4/6 kinases associate with cyclin D proteins during transition from G1 to S phase of the cell cycle. Amplification of CDK4/6 may elicit the activity of cyclin D, which hyperphosphorylates RB, ultimately leading to uncontrolled cell proliferation. Currently, three CDK4/6 inhibitors are used in breast cancer, ovarian cancer and sarcoma. Herein, we investigate the prevalence of CDK4/6 amplification in Chinese and Western cancer patients, hope to find more cancer subtypes with CDK4/6 amplification. Methods: Next-generation sequencing data and clinical data were collected from 10828 TCGA pan-cancer patients (Western cohort). A 539-gene panel targeted sequencing assay was performed on FFPE tumor samples from 4181 Chinese pan-cancer patients (Chinese cohort). CDK4 and CDK6 amplification were calculated on the two cohorts following the same criteria. Results: In total, 182 (4.4%) of the 4181 Chinese patients and 529 (4.9%) of the 10828 Western patients had CDK4 amplification, 133 (3.2%) of the 4181 Chinese patients and 475 (4.4%) of the 10828 Western patients had CDK6 amplification. In Western cohort, the top 5 CDK4 amplification-associated cancer types were sarcoma, glioblastoma multiforme, lung adenocarcinoma, ovarian carcinoma, and adrenocortical carcinoma, and the top 5 CDK6 amplification-associated cancer types were esophageal carcinoma, ovarian carcinoma, lung squamous cell carcinoma, stomach adenocarcinoma, sarcoma. In Chinese cohort, the top 5 CDK4 amplification-associated cancer types were lung adenocarcinoma, melanoma, sarcoma, stomach carcinoma, liver cancer, and the top 5 CDK6 amplification-associated cancer types were lung adenocarcinoma, stomach carcinoma, liver cancer, melanoma, glioma. In addition, CDK4 amplification in Chinese cohort, 22 (11%) of the 203 Chinese bone and soft tissue sarcoma patients had CDK4 amplification, and 4 (2%) of the 203 had CDK6 amplification. Bone and soft tissue sarcoma types with CDK4 / 6 amplification including soft tissue sarcoma, bone cancer, fibrosarcoma, chondrosarcoma, rhabdomyosarcoma, liposarcoma, synovial sarcoma. Conclusions: Our study provided a characteristic of CDK4/6 amplification in Chinese and Western pan-cancer patients. Analysis revealed frequent CDK4 / 6 amplification in lung cancer, sarcoma, stomach carcinoma, ovarian carcinoma and liver cancer. It is suggested patient with these cancer types may potentially benefit from CDK4/6 inhibitor.

Abstract PS15-18: Clinical utility of genomic testing for early stage breast cancer patients treated with APBI brachytherapy

2021 ◽  
Author(s):  
Roberto Diaz ◽  
Matthew N Mills ◽  
Ronica H Nanda ◽  
Lisa L Stout ◽  
Scott Dube ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cancer Patients ◽  
Clinical Utility ◽  
Early Stage ◽  
Early Stage Breast Cancer ◽  
Genomic Testing ◽  
Breast Cancer Patients

scholarly journals Clinical Sequencing Defines the Genomic Landscape of Metastatic Colorectal Cancer

Cancer Cell ◽  
2018 ◽  
Vol 33 (1) ◽  
pp. 125-136.e3 ◽  
Author(s):  
Rona Yaeger ◽  
Walid K. Chatila ◽  
Marla D. Lipsyc ◽  
Jaclyn F. Hechtman ◽  
Andrea Cercek ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Metastatic Colorectal Cancer ◽  
Clinical Sequencing ◽  
Genomic Landscape
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