Multiplex gene-panel testing for lung cancer patients

Comparison of the specimen quality of endobronchial ultrasound-guided intranodal forceps biopsy using standard-sized forceps versus mini forceps for lung cancer: A prospective study

BACKGROUND AND OBJECTIVE

Endobronchial ultrasound-guided transbronchial needle aspiration (EBUS-TBNA) is a diagnostic procedure with adequate performance; however, its ability to provide specimens of sufficient quality and quantity for treatment decision-making in advanced-stage lung cancer may be limited, primarily due to blood contamination. The use of a 0.96-mm miniforceps biopsy (MFB) permits true histological sampling, but the resulting small specimens are unsuitable for the intended applications. Therefore, we introduced a 1.9-mm standard-sized forceps biopsy (SFB) and compared its utility to that of MFB.

METHODS

We prospectively enrolled patients from three institutions who presented with hilar/mediastinal lymphadenopathy and suspected advanced-stage lung cancer, or those who were already diagnosed but required additional tissue specimens for biomarker analysis. Each patient underwent MFB followed by SFB three or four times through the tract created by TBNA using a 22-gauge needle on the same lymph node (LN). Two pathologists assessed the quality and size of each specimen using a virtual slide system, and diagnostic performance was compared between the MFB and SFB groups.

RESULTS

Among the 60 enrolled patients, 70.0% were diagnosed with adenocarcinoma. The most frequently targeted sites were the lower paratracheal LNs, followed by the interlobar LNs. The diagnostic yields of TBNA, MFB and SFB were 91.7%, 93.3% and 96.7%, respectively. The sampling rate of high-quality specimens was significantly higher in the SFB group. Moreover, the mean specimen size for SFB was three times larger than for MFB.

CONCLUSION

SFB is useful for obtaining sufficient qualitative and quantitative specimens.

Prognosis of non-small cell lung cancer with postoperative regional lymph node recurrence

BACKGROUND

Regional lymph node recurrence after radical surgery for non-small cell lung cancer (NSCLC) is an oligo-recurrent disease; however, no treatment strategy has been established. In the present study we aimed to determine the clinical outcomes of postoperative regional lymph node recurrence and identify prognostic predictors in the era of molecular-targeted therapy.

METHODS

We retrospectively analyzed data on clinical characteristics and outcomes of patients with regional lymph node recurrence after surgery who underwent treatment for NSCLC between 2002 and 2022.

RESULTS

A total of 53 patients were included in this study. The median time between surgery and detection of recurrence was 1.21 years. Radiotherapy (RT) alone and chemoradiotherapy (CRT) were performed in 38 and six patients, respectively. Driver gene alterations were detected in eight patients (EGFR: 6, ROS1:1, and BRAF: 1) and programmed death-ligand 1 (PD-L1) expression was examined in 22 patients after 2016. Median progression-free survival (PFS) and overall survival (OS) after lymph node recurrences were 1.32 and 4.34 years, respectively. Multiple lymph node recurrence was an independent prognostic factor for PFS, whereas driver gene alteration was the only prognostic factor for OS. There was no significant difference in the OS between patients stratified according to the initial treatment modality for lymph node recurrence.

CONCLUSION

Our results suggest that the number of tumor recurrences may correlate with PFS, while detection of driver gene alterations could guide decision-making for the appropriate molecular-targeted therapy to achieve longer OS.

Comparison between next-generation sequencing and multiplex polymerase chain reaction assays for nonsmall-cell lung cancer molecular diagnosis

PURPOSE

Genetic mutation detection has become an important step in nonsmall-cell lung cancer (NSCLC) treatment because of the increasing number of drugs that target genomic rearrangements. A multiplex test that can detect multiple gene mutations prior to treatment is thus necessary. Currently, either next-generation sequencing (NGS)-based or polymerase chain reaction (PCR)-based tests are used. We evaluated the performance of the Oncomine Dx Target Test (ODxTT), an NGS-based multiplex biomarker panel test, and the AmoyDx Pan Lung Cancer PCR Panel (AmoyDx PLC panel), a real-time PCR-based multiplex biomarker panel test.

MATERIALS AND METHODS

Patients with histologically diagnosed NSCLC and a sufficient sample volume to simultaneously perform the AmoyDx PLC panel and ODxTT-M were included in the study. The success and detection rates of both tests were evaluated.

RESULTS

Biopsies revealed 116 cases of malignancies, 100 of which were NSCLC. Of these, 59 met the inclusion criteria and were eligible for analysis. The success rates were 100% and 98% for AmoyDx PLC panel and ODxTT-M, respectively. Nine driver mutations were detected in 35.9% and 37.3% of AmoyDx PLC and ODxTT-M panels, respectively. EGFR mutations were detected in 14% and 12% of samples using the AmoyDx PLC panel and ODxTT-M, respectively. Of the 58 cases in which both NGS and AmoyDx PLC panels were successful, discordant results were observed in seven cases. These differences were mainly due to different sensitivities of the detection methods used and the gene variants targeted in each test.

DISCUSSION

The AmoyDx PLC panel, a PCR-based multiplex diagnostic test, exhibits a high success rate. The frequency of the nine genes targeted for treatment detected by the AmoyDx PLC panel was comparable to the frequency of mutations detected by ODxTT-M. Clinicians should understand and use the AmoyDx PLC panel and ODxTT-M with respect to their respective performances and limitations.

Impact of the quality of resected thyroid cancer tissue sample on next-generation sequencing testing

Activating rearranged during transfection (RET) proto-oncogene alterations can be identified using next-generation sequencing (NGS) of tumor DNA/RNA. We assessed factors associated with NGS (Oncomine Dx Target Test [ODxTT]) success for resected thyroid cancer (TC) specimens, including sample age, processing conditions, and DNA/RNA quality. TC samples were from three Japanese hospitals, with sample age <1-<10 years, fixative 10%/15% neutralized buffered formalin (NBF), and fixation time ≤48 h/>48 h-≤72 h. NGS success rate was defined as the percentage of samples returning validated NGS results (RET fusion-positive/negative [RNA] or RET mutation-positive/negative [DNA], detected using ODxTT). DNA/RNA quality was assessed with indexes based on electrophoresis (DNA/RNA integrity number, DV200 ) and quantitative polymerase chain reaction (DNA/RNA integrity score [ddCq/ΔCq]). NGS success rate (N = 202) was 90%/93% (DNA/RNA) overall, 98%-100% (DNA and RNA) for samples <3 years old, and 91% (DNA and RNA) for samples ≥3-<5 years old fixed in 10% NBF for ≤48 h. Multivariate logistic regression analysis identified ddCq and ΔCq as significant predictors of DNA and RNA NGS success rates, respectively. Quality assessment of nucleic acid extracted from archival tissue samples is important for achieving high NGS success rates in clinical practice, especially for samples ≥3 years old.

Clinical practice guidelines for molecular tumor markers, 2nd edition review part 1

With advances in gene and protein analysis technologies, many target molecules that may be useful in cancer diagnosis have been reported. Therefore, the "Tumor Marker Study Group" was established in 1981 with the aim of "discovering clinically" useful molecules. Later, the name was changed to "Japanese Society for Molecular Tumor Marker Research" in 2000 in response to the remarkable progress in gene-related research. Currently, the world of cancer treatment is shifting from the era of representative tumor markers of each cancer type used for tumor diagnosis and treatment evaluation to the study of companion markers for molecular-targeted therapeutics that target cancer cells. Therefore, the first edition of the Molecular Tumor Marker Guidelines, which summarizes tumor markers and companion markers in each cancer type, was published in 2016. After publication of the first edition, the gene panel testing using next-generation sequencing became available in Japan in June 2019 for insured patients. In addition, immune checkpoint inhibitors have been indicated for a wide range of cancer types. Therefore, the 2nd edition of the Molecular Tumor Marker Guidelines was published in September 2021 to address the need to revise the guidelines. Here, we present an English version of the review (Part 1) of the Molecular Tumor Marker Guidelines, Second Edition.

Liquid biopsy detects genomic drivers in NSCLC without EGFR mutations by single-plex testing: WJOG13620L

BACKGROUND

Actionable tumor genomic alterations, primarily EGFR mutations, occur in nearly 70% of Japanese advanced nonsquamous non-small cell lung cancer (NSCLC) patients. Standard assessment of tumor tissue includes rapid testing for EGFR mutations, ALK fusions and ROS1 fusions. We conducted a prospective observational study (WJOG13620L) of follow-on next-generation sequencing of circulating tumor DNA (ctDNA) in patients without driver alterations after EGFR testing.

METHODS

Patients with untreated advanced (Stage IIIB-IV or relapsed) nonsquamous NSCLC without EGFR mutations according to single-plex testing of tumor tissue, were enrolled into this study. Patients with other known driver mutations or who underwent comprehensive genomic profiling were excluded. Plasma was analyzed by Guardant360, and the primary endpoint was the proportion of patients with pathogenic gene alterations in at least one of nine genes.

RESULTS

Among the 72 patients enrolled, ALK and ROS1 fusions were tested in 86.1% and 65.2%, respectively. Alterations in pre-defined genes were detected in 21 patients (29.2%; 95% confidence interval: 19.0-41.1, p < 0.001 [one-sided null hypothesis proportion of 10%]), including RET fusion (n = 1) and mutations in KRAS (n = 11), EGFR (n = 5), ERBB2 (n = 3), and BRAF (n = 1). Median time from sample submission to results was 8 days (range, 5-17 days).

CONCLUSION

Rapid follow-on comprehensive testing of ctDNA should be considered prior to first-line treatment for patients with advanced nonsquamous NSCLC when no alterations are detected after single-plex tissue testing.

Comprehensive genomic profiling of Japanese patients with thoracic malignancies: A single-center retrospective study

BACKGROUND

Few studies have been conducted on comprehensive genomic profiling (CGP) panels in Japanese patients with thoracic malignancies after completing standard treatment. Consequently, its value in clinical practice remains unclear.

METHODS

We conducted a retrospective study of Japanese patients with thoracic malignancies who underwent CGP between June 2019 and November 2022 at our hospital. We evaluated the detection rate of actionable genetic alterations and percentage of patients who received genomically-matched therapy. Furthermore, we examined the value of the CGP panel in patients who underwent multiplex gene-panel testing prior to their initial treatment. This study was performed in accordance with the principles of the Declaration of Helsinki.

RESULTS

The study included 56 patients, of whom 47 (83.9%) had actionable genetic alterations and 8 (14.3%) received genomically-matched therapy. Of these, four patients were treated with approved drugs and three patients were treated with investigational agents. In addition, one patient was treated with approved drugs using the patient-directed care system. Of the 17 patients who had multiplex gene-panel testing performed at the start of their initial therapy, two (11.8%) were newly identified by the CGP panel and subsequently received genomically-matched therapy. EGFR L718Q and MET amplification were observed in two of the seven patients with epidermal growth factor receptor-tyrosine kinase inhibitor resistance.

CONCLUSIONS

The CGP panel could identify genetic alterations, thereby facilitating genomically-matched therapy, even in patients with thoracic malignancies who could not be identified using multiplex gene-panel testing.

Tailoring Therapeutic Strategies in Non-Small-Cell Lung Cancer: The Role of Genetic Mutations and Programmed Death Ligand-1 Expression in Survival Outcomes

BACKGROUND

This study aims to assess the real-world impact of advancements in first-line systemic therapies for non-small-cell lung cancer (NSCLC), focusing on the role of driver gene mutations and programmed death-ligand 1 (PD-L1) expression levels.

METHODS

Conducted across eight medical facilities in Japan, this multicenter, retrospective observational research included 863 patients diagnosed with NSCLC and treated between January 2015 and December 2022. The patients were categorized based on the type of systemic therapy received: cytotoxic agents, molecular targeting agents, immune checkpoint inhibitors, and combination therapies. Comprehensive molecular and immunohistochemical analyses were conducted, and statistical evaluations were performed.

RESULTS

The median overall survival (OS) shows significant variations among treatment groups, with targeted therapies demonstrating the longest OS. This study also revealed that high PD-L1 expression was common in the group treated with immune checkpoint inhibitors. Multivariate analysis was used to identify the type of anticancer drug and the expression of PD-L1 at diagnosis as the impactful variables affecting 5-year OS.

CONCLUSIONS

This study underscores the efficacy of targeted therapies and the critical role of comprehensive molecular diagnostics and PD-L1 expression in affecting OS in NSCLC patients, advocating for their integration into routine clinical practice.

Comparison of the novel Franseen needle versus the fine-needle aspiration needle in endoscopic ultrasound-guided tissue acquisition for cancer gene panel testing: A propensity score-matching analysis

Background and Aim

Reports have indicated that a surface area of 4 mm2 or more of collected tissue sections could provide the recommended total DNA for the OncoGuide NCC Oncopanel system, which is a cancer gene panel test developed in Japan. We wished to compare the percentage of tissue sections collected by endoscopic ultrasound-assisted tissue acquisition (EUS-TA) with surface areas of ≥4 mm2 between a conventional needle, namely the EZ Shot 3 Plus (Olympus Medical Japan, Tokyo, Japan) (EZ3), and the recent SonoTip TopGain (MediGlobe, Rohrdorf, Germany) (TopGain).

Method

From April 2010 to December 2021, among 693 EUS-TA cases, EZ3 was used in 390 cases and TopGain in 45. The EZ3 and TopGain groups were matched in a 1:1 ratio with a tolerance of 0.2, with 35 patients each matched using propensity score analysis.

Results

The TopGain group had a significantly higher percentage of cases with a tissue area of ≥4 mm2 than the EZ3 group (42.9% vs 68.6%, P = 0.030). Multivariate analysis revealed an association between TopGain and tissue areas of ≥4 mm2 (odds ratio 2.996, 95% confidence interval 1.068-8.403, P = 0.037).

Conclusions

EUS-TA using TopGain significantly collected more ≥4 mm2 tissue area compared with EZ3, suggesting its usefulness for cancer gene panel testing.

[Clinical Application Examples of a Next-Generation Sequencing based Multi-Genepanel Analysis]

This review provides an overview of clinically useful applications of a next-generation sequencing (NGS)-based multi-gene panel testing strategy in the areas of oncology, hereditary tumor syndromes, and hematology. In the case of solid tumors (e.g. lung carcinoma, colon-rectal carcinoma), the detection of somatic mutations contributes not only to a better diagnostic but also therapeutic stratification of those affected. The increasing genetic complexity of hereditary tumor syndromes (e.g. breast and ovarian carcinoma, lynch syndrome/polyposis) requires a multi-gene panel analysis of germline mutations in affected families. Another useful indication for a multi-gene panel diagnostics and prognosis assessment are acute and chronic myeloid diseases. The criteria of the WHO-classification and the European LeukemiaNet-prognosis system for acute myeloid leukemia can only be met by a multi-gene panel test strategy.

Distribution and prognostic impact of EGFR and KRAS mutations according to histological subtype and tumor invasion status in pTis-3N0M0 lung adenocarcinoma

BACKGROUND

The prognostic impact of EGFR mutation as major targetable somatic gene variant on lung adenocarcinoma is controversial. KRAS is another major somatic variant in lung adenocarcinoma, and a therapeutic agent for KRAS G12C became available in clinical settings. These mutations represent clinicopathological features of lung adenocarcinoma and can guide the treatment choice after recurrence. We evaluated the prognostic impact of EGFR and KRAS mutations by considering other clinicopathological recurrence risks in resected pTis-3N0M0 lung adenocarcinoma.

METHODS

Clinicopathological features related to recurrence and genetic status were estimated in consecutive 877 resected cases. Recurrence-free survival (RFS), cumulative recurrence rate (CRR), and overall survival (OS) were compared. Uni- and multivariate analyses for RFS were performed after excluding cases with little or no recurrence risks.

RESULTS

EGFR mutation was more likely to be harbored in female, never-smoker, or patients accompanied by > 5% lepidic component. KRAS mutation was more likely to be harbored in patients with current/ex-smoking history, International Association for the Study of Lung Cancer (IASLC) grade 3, or accompanied lymphatic or vascular invasion. In IASLC grade 2 and 3 patients, EGFR or KRAS mutation cases had significantly worse 5-year RFS than wild type patients (76.9% vs. 85.0%, hazard ratio [HR] = 1.55, 95% confidence interval [CI] = 1.62-6.41, P < 0.001). EGFR or KRAS mutation cases had significantly higher 5-year CRR than wild type patients (17.7% vs. 9.8%, HR = 1.69, 95% CI = 1.44-6.59, P = 0.0038). KRAS mutation cases had higher 5-year CRR than EGFR mutation cases (16.7% vs. 21.4%, HR = 1.62, 95% CI = 0.96-7.19, P = 0.061). There was no significant difference in OS between cohorts. Multivariate analysis revealed that a positive EGFR/KRAS mutation status was risk factor for worse RFS (HR = 2.007, 95% CI = 1.265-3.183, P = 0.003).

CONCLUSION

Positive EGFR and KRAS mutation statuses were risk factors for recurrence in resected IASLC grade 2 and 3 patients. KRAS mutations were more likely to be confirmed in cases with an increased risk of recurrence. EGFR and KRAS mutation statuses should be evaluated simultaneously when assessing the risk of recurrence.

Next-Generation Sequencing Analysis of Pancreatic Cancer Using Residual Liquid Cytology Specimens from Endoscopic Ultrasound—Guided Fine-Needle Biopsy: A Prospective Comparative Study with Tissue Specimens

This study evaluated the feasibility and clinical utility of liquid-based cytology (LBC) specimens via endoscopic ultrasound–guided fine-needle biopsy (EUS-FNB) for next-generation sequencing (NGS) of pancreatic cancer (PC). We prospectively evaluated the performance of DNA extraction and NGS using EUS-FNB samples obtained from PC. Thirty-three consecutive patients with PC who underwent EUS-FNB at our hospital were enrolled. DNA samples were obtained from 96.8% of the patients. When stratified with a variant allele frequency (VAF) > 10% tumor burden, the NGS success rate was 76.7% (n = 23) in formalin-fixed paraffin-embedded (FFPE), 83.3% (n = 25) in LBC, and 76.7% (n = 23) in frozen samples. The overall NGS success rate was 86.7% (n = 26) using FFPE, LBC, or frozen samples. The detection rates for the main mutated genes were as follows: 86.7% for KRAS, 73.3% for TP53, 66.7% for CDKN2A, 36.7% for SMAD4, and 16.7% for ARID1A. LBC had the highest median value of VAF (23.5%) for KRAS and TP53. PC mutation analysis using NGS was successfully performed using LBC compared with FFPE and frozen samples. This approach provides an alternative and affordable source of molecular testing materials.

Clinical application of comprehensive genomic profiling panel to thoracic malignancies: A single-center retrospective study

BACKGROUND

The usefulness of comprehensive genomic profiling (CGP) panels for thoracic malignancies after completion of the standard treatment is unclear.

METHODS

The results of CGP panels for malignant thoracic diseases performed at our hospital between December 2019 and June 2022 were collected. We examined whether CGP panel results led to new treatment, correlated with the effectiveness of immune checkpoint inhibitors (ICIs), or revealed secondary findings related to hereditary tumors.

RESULTS

A total of 60 patients were enrolled, of which 52 (86.6%) had lung cancer. In six (10%) patients, the panel results led to treatment with insurance-listed molecular-targeted agents; four patients had EGFR mutations not detected by the real-time polymerase chain reaction assay and two had MET ex.14 skipping mutations. In small-cell lung cancer, the tumor mutation burden was high in 4/6 (66.7%) patients and pembrolizumab was available. Another MET ex.14 skipping mutation was detected in two cases with EGFR-tyrosine kinase inhibitor resistance. ICI efficacy was ≤1 year in patients with STK-11, KEAP1, and NEF2L2 mutations. A BRCA2 mutation with a high probability of germline mutation was detected in one patient. A thymic carcinoma with no detectable oncogenic mutation responded to second-line treatment with Tegafur-Gimeracil-Oteracil Potassium (TS-1) for ≥9 years.

CONCLUSIONS

CGP panels are useful in thoracic malignancies, especially lung cancer, because they can detect overlooked driver mutations and genetic alterations. We believe that the significance of conducting a CGP panel prior to treatment may also exist, as it may lead to the prediction of ICI treatment efficacy.

Comparison of next-generation sequencing and cobas EGFR mutation test v2 in detecting EGFR mutations

BACKGROUND

As the number of genetic mutations that must be tested increases, the Oncomine Dx Target test (ODxTT), which can simultaneously detect multiple cancer-related genes is becoming the main test used in preference to single-molecule testing. In this study, we evaluated the performance of ODxTT and cobas EGFR mutation test v2 (cobas EGFR), one of the single-molecule tests, in detecting EGFR mutations.

METHODS

Samples from 211 patients diagnosed with NS-NSCLC were tested simultaneously or sequentially with the cobas EGFR mutation test and ODxTT. We compared the success and detection rates of both tests and evaluated their equivalence by determining the concordance rate and k-coefficient of both tests.

RESULTS

The success rate in detecting EGFR mutations was 95.7% for ODxTT and 100% for cobas EGFR. EGFR mutations were detected in 26.5% of samples with ODxTT and in 28.0% with cobas EGFR. For the 200 samples successfully analyzed with both tests, the concordance rate and k-coefficient were 97.5% and 0.938, respectively. ODxTT failed to detect two exon 19 deletion mutations (p.E746_P753delinsVS and p.E746_P753delinsLS), and cobas EGFR failed to detect three instances of an exon 19 deletion (p.L747_P753delinsS), L861R, and an exon 20 insertion.

DISCUSSION

The success rate of ODxTT is slightly inferior to that of cobas EGFR. ODxTT shared a high concordance rate and k-coefficient with cobas EGFR in detecting EGFR mutations, but discordant results between the two tests were observed in a few cases, mainly due to the difference of detectable EGFR variants.

Applying lessons learned from COVID-19 therapeutic trials to improve future ALI/ARDS trials

Host-directed therapeutics targeting immune dysregulation are considered the most promising approach to address the unmet clinical need for acute lung injury (ALI)/acute respiratory distress syndrome (ARDS) related to coronavirus disease 2019 (COVID-19). To better understand the current clinical study landscape and gaps in treating hospitalized patients with severe or critical COVID-19, we identified COVID-19 trials developing host-directed therapies registered at ClinicalTrials.gov and discussed the factors contributing to the success vs failure of these studies. We have learned, instead of the one-size-fits-all approach, future clinical trials evaluating a targeted immunomodulatory agent in heterogeneous patients with ALI/ARDS due to COVID-19 or other infectious diseases can use immune-based biomarkers in addition to clinical and demographic characteristics to improve patient stratification and inform clinical decision-making. Identifying distinct patient subgroups based on immune profiles across the disease trajectory, regardless of the causative pathogen, may accelerate evaluating host-directed therapeutics in trials of ALI/ARDS and related conditions (eg, sepsis).

Pathological criteria for multiplex gene-panel testing using next-generation sequencing in non-small cell lung cancer

BACKGROUND

Multiplex gene-panel tests have recently been developed, including the Oncomine Dx Target Test multi-CDx system (ODxTT), and are commonly used to determine the adaptation of molecular-targeting drugs in non-small cell lung cancer. However, in actual clinical settings, we obtain false results owing to the small biopsy samples. We aimed to optimize tissue preparation methods to improve the success rate.

PATIENTS AND METHODS

We investigated 88 biopsy samples. The area and nucleated cell count in the first cut section were quantified using a morphometric software. Pathological parameters, including "total tissue area" and "total nucleated cell count," were calculated by multiplying the total number of slides submitted to ODxTT. Optimal cutoff values to obtain the best success rate were also determined. Additionally, we morphometrically measured actual tumor cell proportions and attempted to determine the lower limit possible to detect mutations.

RESULTS

Optimal cutoff values for "total nucleated cell count" and "total tissue area" were 132,885 and 32.94 mm², respectively. The actual tumor cell proportions ranged from 4.6 to 97.7%. Even in cases with actual tumor cell proportions of less than 20% (ranging from 4.6 to 19.7%), there was no false negative.

CONCLUSION

Thus, we proposed the pathological criteria for accurate ODxTT. Our result suggested that tumor cell proportions of less than 20% (around 5%) could be applicable for ODxTT. We hope that our results will help pathologists to choose between the multi-plex test (ODxTT) or single-plex test in routine diagnostics.

Role of Image-Guided Percutaneous Needle Biopsy in the Age of Precision Medicine

PURPOSE OF REVIEW

With the remarkable progress in cancer precision medicine, the demand for biopsy has been increasing, and the role of biopsy has been changing. In this review, we discuss the current state and recent advances in the role of image-guided percutaneous needle biopsy (PNB) in facilitating precision medicine.

RECENT FINDINGS

Biopsies are useful not only in the diagnosis of cancer and histological sub-type but also in the analysis of its molecular characteristics for targeted treatments. PNB specimens have been shown to provide high DNA yields for genomic analysis. Liquid biopsy is an emerging technology but is under development; therefore, PNB is the current standard of practice and is performed complimentarily with liquid biopsy. In the age of precision medicine, interventional oncologists play a key role in optimal tissue collection for adequate genomic analysis. Effective PNB may improve its diagnostic utility and help optimize precision medicine.

Germline Variants in Cancer Genes from Young Breast Cancer Mexican Patients

Breast cancer (BC) is one of the most frequent cancer types in women worldwide. About 7% is diagnosed in young women (YBC) less than 40 years old. In Mexico, however, YBC reaches 15% suggesting a higher genetic susceptibility. There have been some reports of germline variants in YBC across the world. However, there is only one report from a Mexican population, which is not restricted by age and limited to a panel of 143 genes resulting in 15% of patients carrying putatively pathogenic variants. Nevertheless, expanding the analysis to whole exome involves using more complex tools to determine which genes and variants could be pathogenic. We used germline whole exome sequencing combined with the PeCanPie tool to analyze exome variants in 115 YBC patients. Our results showed that we were able to identify 49 high likely pathogenic variants involving 40 genes on 34% of patients. We noted many genes already reported in BC and YBC worldwide, such as BRCA1, BRCA2, ATM, CHEK2, PALB2, and POLQ, but also others not commonly reported in YBC in Latin America, such as CLTCL1, DDX3X, ERCC6, FANCE, and NFKBIE. We show further supporting and controversial evidence for some of these genes. We conclude that exome sequencing combined with robust annotation tools and further analysis, can identify more genes and more patients affected by germline mutations in cancer.

RIFS2D: A two-dimensional version of a randomly restarted incremental feature selection algorithm with an application for detecting low-ranked biomarkers

The era of big data introduces both opportunities and challenges for biomedical researchers. One of the inherent difficulties in the biomedical research field is to recruit large cohorts of samples, while high-throughput biotechnologies may produce thousands or even millions of features for each sample. Researchers tend to evaluate the individual correlation of each feature with the class label and use the incremental feature selection (IFS) strategy to select the top-ranked features with the best prediction performance. Recent experimental data showed that a subset of continuously ranked features randomly restarted from a low-ranked feature (an RIFS block) may outperform the subset of top-ranked features. This study proposed a feature selection Algorithm RIFS2D by integrating multiple RIFS blocks. A comprehensive comparative experiment was conducted with the IFS, RIFS and existing feature selection algorithms and demonstrated that a subset of low-ranked features may also achieve promising prediction performance. This study suggested that a prediction model with promising performance may be trained by low-ranked features, even when top-ranked features did not achieve satisfying prediction performance. Further comparative experiments were conducted between RIFS2D and t-tests for the detection of early-stage breast cancer. The data showed that the RIFS2D-recommended features achieved better prediction accuracy and were targeted by more drugs than the t-test top-ranked features.