OLIGOMETASTASIS IN GASTRIC CANCER TREATMENT: IS THERE A PLACE FOR THE SURGEON?

Metastatic gastric cancer traditionally hinders surgical treatment options, confining them to palliative procedures. The presence of metastases in these tumors is classified as M1, irrespective of their characteristics, quantity, or location. However, oligometastatic disease emerged as an intermediate state between localized and widely disseminated cancer. It exhibits diverse patterns based on metastatic disease extent, type, and location. Adequately addressing this distinctive metastatic state necessitates tailored strategies that surpass the realm of palliative care. Differentprimary tumor types present discernible scenarios of oligometastatic disease, including preferred sites of occurrence and chronological progression. Due to the novelty of this theme and the heterogeneity of the disease, uncertainties still exist, and the ability to provide confident guidelines is challenging. Currently, there are no effective predictors to determine the response and provide clear indications for surgical interventions and systemic treatments in oligometastatic disease. Treatment decisions are commonly based on apparent disease control by systemic therapies, with a short observation period and imaging assessments. Nonetheless, the inherent risk of misinterpretation remains a constant concern. The emergence of novel technologies and therapeutic modalities, such as immunotherapy, cellular therapy, and adoptive therapies, holds the potential to reshape the landscape of surgical treatment for the oligometastatic disease in gastric cancer, expanding the surgeon's role in this multidisciplinary approach. Prospective tools for patient selection in oligometastatic gastric cancer are being explored. Using non-invasive, cost-effective, widely available imaging techniques that provide real-time information may revolutionize medical practice, ensuring precision medicine accessibility, even in resource-constrained small healthcare facilities. Incorporating molecular classifications, liquid biopsies, and radiomic analysis in a complementary protocol will augment patient selection precision for surgical intervention in oligometastasis. Hopefully, these advancements will render surgeries unnecessary in many cases by providing highly effective alternative treatments.

Advance Care Planning and Goals of Care Discussion: Barriers from the Perspective of Medical Residents

BACKGROUND

Advance care planning (ACP) and goals of care discussion involve the exploration of what is most important to a person to prepare for health-care decision making. Despite their well-established benefits, they are still not frequently performed in clinical oncology practice. This study aims to describe the barriers to discussion goals of care with oncology patients from the perspective of medical residents.

METHODS

This cross-sectional and qualitative study applied the "Decide-Oncology" questionnaire, adapted to Portuguese language, to assess barriers to goals of care discussion among medical residents from three university hospitals in Brazil. Residents were asked to rank the importance of various barriers to discuss goals of care (ranging from 1-extremely unimportant to 7-extremely important).

RESULTS

Twenty-nine residents answered the questionnaire (30.9%). The most reported barriers were related to patients and their families' difficulty in understanding and accepting the diagnosis and the prognosis as well as patients' desire to receive full active treatment. Furthermore, the physician and external factors such as lack of training and lack of time to have these conversations were also very important barriers. The identification of the key barriers that limit the discussion of ACP and early palliative care referrals can certainly help to prioritize the next steps for future studies aimed at improving ACP and goals of care discussions.

Advance care planning and goals of care discussion: the perspectives of Brazilian oncologists

BACKGROUND

Advance care planning (ACP) and goals of care discussions are important instruments that enable respect for patient autonomy, especially in patients with a life-threatening disease, such as cancer. Despite their well-established benefits, ACP and goals of care discussions are still not frequently performed in clinical oncology practice. Understanding the barriers to this topic is the first step toward developing future interventions that are more likely to improve professional practice and patient satisfaction with care.

AIM

To explore Brazilian oncologists' barriers to discuss goals of care and advance care planning.

METHODS

A cross-sectional study was developed to identify Brazilian oncologists' barriers to discussing goals of care and ACP. The Decide-Oncology questionnaire was used to identify the importance of these barriers according to oncologists' perceptions. Participants were asked to rank the importance of various barriers to discussing goals of care, ranging from 1 (extremely unimportant) to 7 (extremely important). A quantitative analysis using descriptive statistics was used, including median and interquartile intervals and a qualitative analysis based on Bardin content analysis of the two open questions.

RESULTS

Sixty-six oncologists participated in this study. Most of them perceived the patient and family's related barriers as the most important, such as patients' difficulty in understanding their diagnosis and accepting their prognosis. Physician and external related factors, such as lack of training and lack of time for this conversation, were also described as important barriers. Participants with formal training regarding goals of care communication and with experience in palliative care perceived the lack of patients' advanced directives as a significant barrier and manifested more willingness to participate in decision-making about goals of care. The lack of access and of support for referral to palliative care was also considered a significant barrier for ACP and goals of care discussion.

CONCLUSION

The identification of barriers that limit the discussion of ACP and early palliative care referrals can certainly help to prioritise the next steps for future studies aimed at improving ACP and helping clinicians to better support patients through shared decision-making based on the patient's values and experiences.

Association between TP53, PAR1 and CCR5 gene polymorphisms and non-small cell lung cancer susceptibility in the Amazon

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Background: Lung cancer is one of the most frequent neoplasms in the world, representing 11.4% of all registered cancers, and is responsible for 18% of cancer deaths. It is divided into two categories, small cell lung cancer, responsible for 15% of cases; and non-small cell lung cancer (NSCLC), which represents 85% of cases. The most well-known risk factor for the development of lung cancer is smoking, due to substances contained in tobacco associated with inflammation and carcinogenesis. Pulmonary carcinogenesis is a complex and gradual process, with synergistic and complex interactions between environmental risk factors and individual genetic susceptibility. The aim of this study was to investigate possible associations between TP53, PAR1, and CCR5 gene polymorphism for susceptibility to NSCLC in the Amazon. Methods: This is a pilot, case-control study, which included 263 subjects, 67 patients with NSCLC and 196 healthy subjects. The samples were analyzed for TP53 (rs17880560), PAR1 (rs11267092), and CCR5 (rs333) gene polymorphism, genotyped in PCR, followed by fragment analysis. To avoid misinterpretation due to population substructure, we applied a previously developed set of 61 informative ancestral markers that were genotyped by multiplex PCR. We used logistic regression to identify differences in genotypic frequencies between individuals with and without lung cancer. Results: We observed that some genotypes were associated with protection for NSCLC: TP53 gene LED/DEL genotype (p = 0.041, OR: 0.510, 95%CI: 0.267-0.974); DEL/DEL genotype of the PAR1 gene (p = 0.023, OR: 0.471, 95%CI: 0.247-0.971); and also the INS/INS genotype of the CCR5 gene (p = 0.033, OR: 0.331, 95%CI: 0.120-0.917). Conclusions: TP53 (rs17880560), PAR1 (rs11267092) and CCR5 (rs333) gene variants were significantly associated with NSCLC in patients from the Amazon. The validation of these findings may favor, in the future, the screening of individuals, facilitating the institution of preventive measures personalized, early diagnosis, consequently reducing the cost for health services and mortality from this malignant neoplasm. Keywords: Genetic Polymorphism; TP53; PAR1; CCR5; Biomarker; Non-Small Cell Lung Cancer.

A biological network approach for mining target genes in EBV-positive gastric cancer

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Background: Epstein–Barr virus (EBV) discriminates a molecular group of gastric cancer (GC) that seems to have peculiar treatment responses and prognosis. Nevertheless, the gene expression pattern of such tumors needs additional investigations due to the heterogeneity of the tumor microbiome and the small number of studied samples. Biological networks analysis of gene expression patterns, in this complex scenario, might lead to the discovery of putative "hubs" genes, supposed to have important roles in cancer occurrence and consequences. This study aimed to explore the biological value of hub genes in EBV-positive gastric cancer patients. Methods: Fresh tumor samples collected during gastrectomies from individuals with gastric adenocarcinoma (n = 41, 59.0±11.0 years) were included. Gene expression of tumor samples was evaluated in the Illumina sequencing platform. A weighted correlation network analysis (WGCNA) was used to find highly correlated gene patterns. The gene's correlation to EBV status was also explored, including eight EBV positive and 33 EBV negative cases. Gene Ontology (GO) term enrichment was performed to predict the involved biological functions. The expression level of the hubs gene was measured by differential expression analysis. Results: A gene cluster including 636 genes able to discriminate EBV status (ρ = 0.65, p-value = 6e-05) was identified. GO analysis (padj <0.05) showed that this cluster of genes is related to T cell activation, regulation of immune effector process, and response to the biotic stimulus. In this cluster, 54 genes were differentially expressed (log2FoldChange (FC) >1 and padj< 0.05). The top hub genes were LAPTM5, PTPN22, C1QA, CD84, CD53, ADAMDEC1, DPYD, TYROBP, RARRES3, IFI16, CYBB, CMKLR1, PHF21A, GPNMB, and C1QC, according to cluster significance and gene expression level. In positive EBV-GC, all hub genes were overexpressed (FC 1.24 - 2.49) (Table). The average area under the ROC curve (AUC) for hub genes was 0.9 (0.84-0.99). Overexpression of LAPTM5 (p-value = 0.013) and DPYD (p-value =0.0065) and low expression of ADAMDEC1 (p-value = 0.05) were strongly related to poor survival outcome. Conclusions: EBV-positive status was correlated with overexpression of hub genes. Genes found in this investigation have high sensitivity and specificity to discriminate EBV status in GC. Some of them seem to be related to patients' survival, opening an avenue for future scientific explorations in this field. The biological network's approach may be a promising tool for mining target genes for potential clinical applications. [Table: see text]

Investigation of the DPYD, TYMS, ENOSF1, MTHFR, CDA, CES2, and UGT1A1 genes in patients who developed fatal fluoropyrimidine-associated toxicity in Northern Brazil

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Background: Fluoropyrimidine-based treatments are still considered challenging due to the wide variability in efficacy and toxicity rates presented by patients. This variability can be explained, partially, by individual genetic differences that contribute significantly to the response of the drug, with 30% of patients experiencing severe toxicity related to dihydropyrimidine dehydrogenase (DPD) deficiency and 5-Fluorouracil (5-FU) metabolism. Methods: This study analyzed the exome of the main genes involved in the fluoropyrimidine metabolism pathway ( DPYD, TYMS / ENOSF1, MTHFR, CDA, CES2, and UGT1A1) in seven patient who developed fatal 5-FU toxicity diagnosed with gastric or colorectal adenocarcinoma and underwent fluoropyrimidine-based cancer treatment. The genotyping service was carried out at CEGEN-PRB3-ISCIII; it is supported by grant PT17/0019, of the PE I+D+i 2013-2016, funded by ISCIII and ERDF. Results: A total of 74 genetic polymorphisms were identified, 25 of which stand out due to their potential role in the safety of 5-FU administration. Eight variants are exclusive of the studied population (two found in the DPYD gene, two in the MHFR, one in the CES2, and three in the UGT1A1 gene) and 17 have already been associated with fluoropyrimidine efficacy and/or toxicity events: 10 of them are located in the DPYD gene (rs1801159, rs2297595, rs72728438, rs17376848, rs1801160, rs1801265, rs22447512, rs5568, rs56038477, rs56276561, and rs56293913), two in the intergenic region of the TYMS/ ENOSF1 genes (rs11280056 and rs699517), two in the MTHFR gene (rs1801131 and rs1801133) and three in the CDA gene (rs1048977, rs2072671, and rs3215400). Conclusions: The current study has allowed us to obtain a global profile of genetic variants in the pharmacokinetic and pharmacodynamic pathways of fluoropyrimidines in patients with high genetic miscegenation in the northern region of Brazil who have evolved to death due to the fatal toxicity resulting from 5-FU-based therapies. Keywords: Pharmacogenomics; Exome; 5-Fluorouracil; Drug toxicity; Brazil.

Identification of pharmacogenomic variants associated with oncology treatments in Brazilian Amazonian Amerindians

e15082

Background: Adverse drug reactions are an important cause of morbidity and mortality commonly found in different therapeutic regimens, particularly in oncologic. About 20-30% of these reactions are due to the individual genetic variability of patients. Pharmacogenomics focuses on the identification of genetic variants that influence drug efficacy, response, and/or toxicity by changes in pharmacokinetics/pharmacodynamics. Pharmacogenomic investigations are known to have a population bias. There is a gap in the accumulated about pharmacogenomic variants in poorly studied populations, such as the Amerindian population from the Brazilian Amazon region. The objective of this work is to describe the pharmacogenetic variability regarding 160 pharmacogenes involved in pharmacokinetic processes and biological pathways of different therapies, including oncology treatments, based on data obtained through complete exome sequencing of 64 individuals from different Amerindian groups of the Brazilian Amazon. Methods: The present study was approved by the National Committee for Ethics in Research and the Research Ethics Committee of the UFPA Tropical Medicine Center, under CAAE number 20654313.6.0000.5172. All participants signed a free-informed consent. The DNA extraction was performed using phenol-chloroform. Libraries were prepared using the Nextera Rapid Capture Exome and SureSelect Human All Exon V6 kits. Bioinformatic analysis was performed by ViVa software. Results: Our results show a total of 3,311 variants found in the study subjects. Of this, 167 are exclusive variants found in the Amerindians. Among these new variants, we found a non-synonymous coding variant in the DPYD gene with an allelic frequency of 3%, and variants with high allelic frequencies in intronic regions, which may regulate gene expression: MTHFR (5.56%), TYMS (11.5%) GSTT1 (54.1%), and three variants in the CYP2D6 gene with frequencies of 54%, 62.3%, and 65.6%. The DPYD is a pivotal gene involved with the efficacy of fluoropyrimidine-based treatment; the MTHFR and TYMS genes also participate in the biological pathways of these drugs, responsible for variation in response rates. The GSTT1 is a gene associated with platinum-based treatments, such as carboplatin and cisplatin. And, finally, CYP2D6 is one of the main pharmacogene described, involved in several drug schemes, including tamoxifen and gefitinib, used to treat breast and lung cancer, respectively. Conclusions: Understanding the diversity of genetic markers in Amazonian Amerindian is crucial to the implementation of pharmacogenomic-guided oncology treatment protocols, since pharmacogenomic data validated in other ancestral groups may not be fully applicable in these populations due to their unique genetic profile. Keywords: Exome, Native American populations, fluoropyrimidine, platinum-based drugs, tamoxifen, gefitinib.

FLOT neoadjuvant therapy turns the expression patterns of cancer cells similar to those of non-cancer cells in gastric cancer patients

e16056

Background: FLOT perioperative have emerged as a new standard for locally advanced gastric cancer (LAGC). Nevertheless, the molecular consequences of such therapy remain obscure. Aiming to investigate changes in the tumor transcriptional landscape in LAGC patients treated with FLOT, a comprehensive analysis of messenger RNA (mRNAs) and long noncoding RNA (lncRNAs) expression was developed using next-generation sequencing (NGS). Methods: Paired tumor and non-tumor fresh samples, including 17 patients with intestinal-type LAGC submitted to neoadjuvant FLOT treatment (treated group) and 13 who did not receive neoadjuvant therapy (untreated group), were sequenced and compared. Differential expression analyses were performed using the DESeq2 package. Criteria for differentially expressed (DE) lncRNAs and mRNAs were|Log2(Fold-Change)| > 2; and adjusted p-value < 0.05. In silico analyses were adopted to identify DE lncRNAs with transcription factors (TFs) and RNA-binding proteins (RPBs). Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis and gene ontology (GO) was also performed to elucidate these target proteins’ and mRNAs biological’s roles. Results: In tumor samples from the untreated group, 4443 mRNAs and 961 lncRNAs DE were found, in which 293 mRNAs and 148 lncRNAs accurately discriminated (the area under the curve ROC > 0.9) tumor and non-tumor tissues. Only 265 mRNAs and 29 lncRNAs DE were detected in treated patients, indicating that neoadjuvant therapy led to changes in expression patterns, making tumor tissues similar to non-tumor tissues. Subsequent analyzes identified that non-tumor tissues (treated vs. untreated) showed similar expression profiles. Among tumor samples, 34 mRNAs and 54 lncRNAs DE were found, in which 7 mRNAs and 16 lncRNAs can discriminate between treated and untreated tumors, indicating the effect of neoadjuvant treatment is predominant in the tumor. GO evaluation of genes was significant for 83 terms for biological process. The most annotated terms were the regulation of catalytic activity. We also observed that DE lncRNAs interact with TFs and RBPs were enriched in related cancer development and progression pathways, including transcriptional dysregulation and cellular senescence. Conclusions: Despite the need for further validation to better understand the transcriptional landscape related to neoadjuvant treatment, the present study highlights the functional relevance of lncRNAs in tumor biology and, mainly, shed light on the molecular effects of FLOT neoadjuvant treatment, that might help to guide future investigations aiming to establish personalized management of GC.

MUC family influence on acute lymphoblastic leukemia in Native American populations from Brazilian Amazon

e19025

Background: The MUC family includes several genes previously associated with carcinogenesis and it is associated with solid neoplasms such as those of the gastrointestinal tract. As far as we are aware, there are no studies relating MUC genes to acute lymphoblastic leukemia (ALL), and this type of cancer is more frequent in the Amerindian population, which has been understudied. Therefore, the present work aimed to investigate the MUC family exome in Amerindian individuals from Brazilian Amazon, in a sample containing healthy Native Americans (NAM) and indigenous with ALL, comparing the frequency of polymorphisms between these two groups. Methods: The population was formed by 64 Amerindians from the Brazilian Amazon from 12 different ethnic groups, 5 of whom were diagnosed with ALL. We analyzed 16 genes from the MUC family (MUC1, MUC2, MUC3A, MUC4, MUC5AC, MUC5B, MUC6, MUC7, MUC12, MUC13, MUC15, MUC16, MUC17, MUC19, MUC20, MUC21) and found a total of 1858 variants. Results: After the quality filter, only 743 variants remained. Among them, we compared the frequency of each polymorphism in the LLA vs NAM group, which led to 77 variants with a significant difference, and, among these, we excluded those with LOW impact, resulting in 63. The 63 polymorphisms were distributed in 9 genes, concentrated especially in MUC 19 (n = 30) and MUC 3A (n = 18). Finally, 11 new variants were found in the NAM population. Conclusions: This is the first work with a sample of native americans with cancer, a population which is susceptible to ALL, but remains understudied. The MUC family seems to have an influence on the development of ALL in the Amerindian population, and especially MUC19 and MUC3A are shown as possible hotspots. In addition, the 11 new variants found point to the need to have their clinical impact analyzed. Keywords: MUC family; ALL; Susceptibility; Native American Populations; Brazil.

Influence of FPGS, ABCC4, SLC29A1, and MTHFR genes on the pharmacogenomics of fluoropyrimidines in patients with gastrointestinal cancer from the Brazilian Amazon

PURPOSE

Fluoropyrimidines are one of the most used drug class to treat cancer patients, although they show high levels of associated toxicity. This study analyzed 33 polymorphisms in 17 pharmacogenes involved with the pharmacogenomics of fluoropyrimidines, in gastrointestinal cancer patients undergoing fluoropyrimidine-based treatment in the Brazilian Amazon.

METHODS

The study population was composed of 216 patients, 92 of whom have an anatomopathological diagnosis of gastric cancer and 124 of colorectal cancer. The single nucleotide polymorphisms (SNP) were genotyped by allelic discrimination using the TaqMan OpenArray Genotyping technology, with a panel of 32 customized assays, run in a QuantStudio ™ 12K Flex Real-Time PCR System (Applied Biosystems, Life Technologies, Carlsbad USA). Ancestry analysis was performed using 61 autosomal ancestry informative markers (AIMs).

RESULTS

The study population show mean values of 48.1% European, 31.1% Amerindian, and 20.8% African ancestries. A significant risk association for general and severe toxicity was found in the rs4451422 of FPGS (p = 0.001; OR 3.40; CI 95% 1.65-7.00 and p = 0.006; OR 4.63; CI 95% 1.56-13.72, respectively) and the rs9524885 of ABCC4 (p = 0.023; OR 2.74; CI 95% 1.14-6.65 and p = 0.024; OR 5.36; IC 95% 1.24-23.11, respectively) genes. The rs760370 in the SLC29A1 gene (p = 0.009; OR 6.71; CI 95% 1.16-8.21) and the rs1801133 in the MTHFR toxicity (p = 0.023; OR 3.09; CI 95% 1.16-8.21) gene also demonstrated to be significant, although only for severe toxicity. The results found in this study did not have statistics analysis correction.

CONCLUSION

Four polymorphisms of the ABCC4, FPGS, SLC29A1, and MTHFR genes are likely to be potential predictive biomarkers for precision medicine in fluoropyrimidine-based treatments in the population of the Brazilian Amazon, which is constituted by a unique genetic background.

Comprehensive analysis of germline mutations in northern Brazil: a panel of 16 genes for hereditary cancer-predisposing syndrome investigation

BACKGROUND

Next generation sequencing (NGS) has been a handy tool in clinical practice, mainly due to its efficiency and cost-effectiveness. It has been widely used in genetic diagnosis of several inherited diseases, and, in clinical oncology, it may enhance the discovery of new susceptibility genes and enable individualized care of cancer patients. In this context, we explored a pan-cancer panel in the investigation of germline variants in Brazilian patients presenting clinical criteria for hereditary cancer syndromes or familial history.

METHODS

Seventy-one individuals diagnosed or with familial history of hereditary cancer syndromes were submitted to custom pan-cancer panel including 16 high and moderate penetrance genes previously associated with hereditary cancer syndromes (APC, BRCA1, BRCA2, CDH1, CDKN2A, CHEK2, MSH2, MSH6, MUTYH, PTEN, RB1, RET, TP53, VHL, XPA and XPC). All pathogenic variants were validated by Sanger sequencing.

RESULTS

We identified a total of eight pathogenic variants among 12 of 71 individuals (16.9%). Among the mutation-positive subjects, 50% were diagnosed with breast cancer and had mutations in BRCA1, CDH1 and MUTYH. Notably, 33.3% were individuals diagnosed with polyposis or who had family cases and harbored pathogenic mutations in APC and MUTYH. The remaining individuals (16.7%) were gastric cancer patients with pathogenic variants in CDH1 and MSH2. Overall, 54 (76.05%) individuals presented at least one variant uncertain significance (VUS), totalizing 81 VUS. Of these, seven were predicted to have disease-causing potential.

CONCLUSION

Overall, analysis of all these genes in NGS-panel allowed the identification not only of pathogenic variants related to hereditary cancer syndromes but also of some VUS that need further clinical and molecular investigations. The results obtained in this study had a significant impact on patients and their relatives since it allowed genetic counselling and personalized management decisions.

Refusal of medical treatment by older adults with cancer: a systematic review

The literature about the factors associated with cancer treatment refusal, especially by the older patients is scarce. Therefore, this study aimed to identify predictive factors associated with treatment refusal by older patients with cancer. A systematic review was conducted using three databases, Medline, Web of Science, and Scopus with the key concepts, "refusal treatment" and "cancer" and "decision making" and "elderly" or "aged". The search took place in July 2020 and it included articles published in the last 5 years. Of the 211 articles found, 22 were included in the review. Most studies have focused on head and neck and breast cancer treatment decisions and used a quantitative design. The majority of studies evaluated refusal of surgery interventions. Important factors associated with refusal cancer treatment include gender, marital status, race, having government insurance, advanced cancer, poor performance status (cancer stage III or IV) and Charlson Comorbidity Index ≥2. Thus, there are socio-demographic and clinical variables associated with treatment refusal. More studies with the elderly are needed. Understanding these factors may be useful to recognize situations where active education and support can help elderly patients accept optimal care.

Gastric Cancer Microbiome

Identifying a microbiome pattern in gastric cancer (GC) is hugely debatable due to the variation resulting from the diversity of the studied populations, clinical scenarios, and metagenomic approach. H. pylori remains the main microorganism impacting gastric carcinogenesis and seems necessary for the initial steps of the process. Nevertheless, an additional non-H. pylori microbiome pattern is also described, mainly at the final steps of the carcinogenesis. Unfortunately, most of the presented results are not reproducible, and there are no consensual candidates to share the H. pylori protagonists. Limitations to reach a consistent interpretation of metagenomic data include contamination along every step of the process, which might cause relevant misinterpretations. In addition, the functional consequences of an altered microbiome might be addressed. Aiming to minimize methodological bias and limitations due to small sample size and the lack of standardization of bioinformatics assessment and interpretation, we carried out a comprehensive analysis of the publicly available metagenomic data from various conditions relevant to gastric carcinogenesis. Mainly, instead of just analyzing the results of each available publication, a new approach was launched, allowing the comprehensive analysis of the total sample amount, aiming to produce a reliable interpretation due to using a significant number of samples, from different origins, in a standard protocol. Among the main results, Helicobacter and Prevotella figured in the "top 6" genera of every group. Helicobacter was the first one in chronic gastritis (CG), gastric cancer (GC), and adjacent (ADJ) groups, while Prevotella was the leader among healthy control (HC) samples. Groups of bacteria are differently abundant in each clinical situation, and bacterial metabolic pathways also diverge along the carcinogenesis cascade. This information may support future microbiome interventions aiming to face the carcinogenesis process and/or reduce GC risk.

Traps and trumps from adjacent-to-tumor samples in gastric cancer research

The search for cancer biomarkers is frequently based on comparisons between tumors and adjacent-to-tumor samples. However, even after histological confirmation of been free of cancer cells, these adjacent-to-tumor samples might harbor molecular alterations which are not sufficient to cause them to look like cancer, but can differentiate these cells from normal cells. When comparing them, potential biomarkers are missed, and mainly the opportunity of finding initial aberrations presents in both tumors and adjacent samples, but not in true normal samples from non-cancer patients, resulting in misinterpretations about the carcinogenic process. Nevertheless, collecting adjacent-to-tumor samples brings trumps to be explored. The addition of samples from non-cancer patients opens an opportunity to increase the finds of the molecular cascade of events in the carcinogenic process. Differences between normal samples and adjacent samples might represent the first steps of the carcinogenic process. Adding samples of non-cancer patients to the analysis of molecular alterations relevant to the carcinogenic process opens a new window of opportunities to the discovery of cancer biomarkers and molecular targets.

GEJ cancers: gastric or esophageal tumors? searching for the answer according to molecular identity

The 7th edition of Union for International Cancer Control (UICC) staging system moved gastroesophageal junction (GEJ) cancers from gastric to esophageal group. Since clinical management is strongly influenced by this staging system, we looked at molecular fingerprints of GEJ tumors and compared to gastric and esophageal profiles. We aimed at elucidating whether GEJ cancers cluster with gastric or esophageal groups according to mRNA and microRNA expression pattern, since this might represent tumor identity. The clinical and expression data were downloaded from The Cancer Genome Atlas (TCGA) with 395 stomach, 184 esophagus and 521 colon samples for mRNA analyses and 392 stomach, 175 esophagus and 459 colon samples for microRNA comparisons. Both Principal Component Analysis (PCA) and Heat Map plots were performed in R platform, using Log₂ transformation of RPKM normalized data. Differential Expression Analysis was also performed in R, using RAW data and the DESeq2 package. The mRNAs and microRNAs were tagged as differentially expressed if they met the following criteria: i) FDR adjusted p-value < 0.05; and ii) |Log₂ (fold-change)| > 2. Esophagus squamous cell carcinoma (ESCC) clustered apart of the others tumors, while adenocarcinomas (AC) clustered all together according to both mRNAs and microRNAs expression patterns. The HMs of the differentially expressed mRNAs and microRNAs also demonstrated that ESCC belongs to a different group, while AC molecular signature of esophagus looks like AC of the cardia and non cardia regions. Even distal gastric cancers are quite similar to AC of the lower esophagus, demonstrating that esophagus AC relies much closer to gastric cancers than to esophagus cancers. By using robust molecular fingerprints, it was strongly demonstrated that GEJ tumors looks more like gastric cancers than esophageal cancers, despite of tumor heterogeneity.

Using adjacent to tumor samples as normal controls in molecular investigations: Are we missing the earliest biomarkers?

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Background: Recently, some papers aiming to warn the scientific community regarding possible misinterpretation due to using adjacent to tumor sample tissues as normal controls were published The main motivation for these alerts was the observation of important molecular alterations in tissues nearby a cancer, although been collected from non-tumor areas. Nevertheless the cancer field hypothesis has been recognized many years ago; this concept was not incorporated to current practice in molecular investigations. In this work we aim to investigate potential implications of using adjacent to tumor sample tissues as normal controls. Methods: Gastric Cancer (GC) and Adjacent Tissues (AT) paired fresh samples of 16 patients, and 16 samples from non-cancer patients (NC) were analyzed. miRNA sequencing was performed using Illumina Miseq platform. Statistical analysis was performed in R using DESeq2 tool to identify differential expressed miRNAs. Results: Comparing GC with NC tissue samples, we observed 21 miRNAs differentially expressed (p-value < 0.05 and |Log2(Fold-Change)| > 2), eight were down-regulated and 13 were up-regulated in GC. Comparing AT with NC tissue samples, 16 miRNAs were differentially expressed, two were down-regulated and 14 were up-regulated in AT. In both comparisons, GC and AT samples clustered together and clearly separated from NC samples. Comparing GC with AT samples, hsa-miR-196a-5p was significantly down-regulated in GC. Conclusions: AT tissues harbor molecular alterations distinguishing them from non-cancer patient’s samples. Combined analyses of the groups clearly demonstrated that AT resembles much more cancer profile than NC patient’s tissue prolife. Using AT samples as controls might impair the discovery of possible initial molecular events identifiable exclusively by using samples from non-cancer patients. The current strategy of molecular investigation must be revised.

Insights into gastric neuroendocrine tumors burden

Type 1 gastric neuroendocrine tumors (gNETs) are usually small lesions, restricted to mucosal and sub-mucosal layers of corpus and fundus, with low aggressive behavior, for the majority of cases. Nevertheless, some cases present aggressive behavior. The increasing incidence of gNETs brings together a new relevant problem: how to identify potentially aggressive type 1 gNETs. The challenging problem seems to be finding out signs or features able to predict potentially aggressive cases, allowing a tailored approach, since the involved societies dedicated to provide guidelines for management of these neoplasms apparently failed in producing staging systems able to accurately predict prognosis of these tumors. Additionally, it is also important to try to find out explanations for increasing incidence, as well as to identify potential targets aiming to reach better control of this neoplasia. Here, we discuss potential pathways implicated in aggressive behavior, as well as new strategies to improve clinical management of these tumors.