Gastric cancer (GC) is the fifth most common malignancy with over 1,000,000 cases diagnosed annually and is the third leading cause of cancer death globally (1). The incidence is highest in Asia (with over half of all GC cases globally diagnosed in East Asia), Eastern Europe, and South America with comparatively lower rates in Africa, North America, and Europe. Approximately 95% of gastric tumors are gastric adenocarcinomas (GAC) which can be further divided into intestinal type gastric cancer (IGC), diffuse type gastric cancer (DGC), and mixed histology based on the 1965 Lauren classification (2-4). Approximately 50% of GAC are IGC, 30% are DGC, and 15–20% are mixed or indeterminate. DGC tends to occur in younger patients and in females, while IGC typically presents in older patients and in men (5-7). In the United States, the incidence of DGC also appears to be higher in the Hispanic population compared to non-Hispanic whites (8). The overall incidence of GAC has been declining since 1973 which may be due to a decrease in chronic H. Pylori infection, decreased tobacco use, and changes in diet (9). However, during the same period of time the incidence of DGC and signet-ring cell carcinoma (SRCC) had been increasing in both Asian and Western cohorts before decreasing in recent years (10-12). Reasons for this trend, as well as differences in ethnic and racial subgroups require additional research.
The etiology of DGC is diverse. While intestinal metaplasia from chronic infectious etiologies (i.e., H. Pylori) is more commonly associated with IGC rather than DGC (13), Epstein-Barr virus (EBV) appears to be associated with DGC, though the strength of this association is not as clear (4,14). Tobacco use also appears to be related to the development of DGC (15,16). However, the role of other lifestyle factors such as diet and alcohol, along with the strength of these associations, merit further research (17-19). In addition to environmental etiologies, somatic and germline mutations in a number of genes can contribute to the development of DGC. These genes include CDH1, TP53, RHOA, CTNN1A, and CMTM2 (4,20-22). Approximately 1–3% of all GCs are due to hereditary diffuse gastric cancer (HDGC), with 40% of those associated with germline mutations in CDH1 (23,24). The risk of developing DGC in patients with germline CDH1 mutations may be as high as 70% in men and 56% in women by age 80 years, and can also be associated with the development of other cancers such as colon cancer and lobular breast cancer in women (25,26).
Histologically, DGC lack expression of adhesion molecules and typically show an infiltrative, poorly differentiated, poorly cohesive appearance (Figures 1 and 2). Tumor cells nestle within a rich fibrous stroma that extends into the submucosal layers and arise in the background of normal mucosa. This is in contrast to IGC, which typically appears as cells arranged in tubular or glandular structures that elevate from the mucosal surface and arise from a metaplastic background (2,20,23,27). SRCC, which contain nuclei that have been pushed to the periphery due to excess production of intracellular mucin, is a subtype of DGC based on the Lauren classification. However, even though SRCC are classified as DGC, not all DGC have signet ring cells (28,29). DGC and SRCC are frequently characterized by fibrous stroma, which has been associated with overexpression in TGF-β signaling and worse clinical outcomes (3,30,31). A genomic analysis of 428 GC tumor samples, including 118 diffuse-type patients, revealed that gene-expression profiles associated with increased stroma were found more commonly in DGC as compared to IGC (30). Those patients who had increased stromal gene-expression also had a poorer survival compared to patients who had lower levels of stromal gene-expression. All of these factors lead to a more aggressive tumor biology and later stage at diagnosis, contributing to poorer clinical outcomes.
Molecular profile of DGC
With the advent of next generation sequencing (NGS), RNA sequencing (RNA-seq), and whole genome sequencing (WES), the unique molecular characteristics of DGC have become more apparent, including their impact on clinical outcomes. One of the most robust assessments was performed using WES and RNA-seq as part of The Cancer Genome Atlas (TCGA) which sequenced 295 patients with early stage GC treated with surgery alone (4). Four molecular subtypes were identified in GC-EBV positive, microsatellite unstable tumors, genomically stable (GS) tumors, and tumors with chromosomal instability. DGC were predominantly found within the GS subgroup (40/55=73%, P=7.5×10−17), though DGC were also seen within all of the other subgroups in small numbers. In keeping with the known epidemiology of DGC, the GS subgroup tended to be diagnosed at a younger age. Within the TCGA study, the GS cluster also had high rate of somatic CDH1 mutations (37% of cases), RHOA mutations (15% of cases), and CLDN18-ARHGAP fusions (15% of cases), with RHOA and CLDN18-ARHGAP mutations being mutually exclusive. Further work by Sohn et al. created a prediction model based on the TCGA classification and tested it on two large cohorts (n=267 and 432) (32). They found the GS cohort was associated with a lack of significant benefit from adjuvant therapy (HR for recurrence after chemotherapy =0.83, P=0.66) and an overall worse prognosis (P=0.004).
The Asian Cancer Research Group (ACRG) classified 300 GC cases into four different subtypes-microsatellite unstable tumors with the best overall prognosis and three microsatellite stable (MSS) groups: MSS/TP53-active, MSS/TP53-inactive, and MSS/EMT (epithelial-to-mesenchymal transition, the process through which epithelial cells lose their intercellular adhesion and increase motility) (33). Similar to the GS cohort in TCGA, MSS/EMT subgroup was defined by loss of CDH1, poorest prognosis, advanced disease stage at diagnosis, and highest rates of diffuse histology tumors (>80%, P<0.0001). This subtype also had the highest rates of recurrence and development of peritoneal carcinomatosis, with the lowest rate of mutational events. However, while there was an overall higher incidence of DGC in the entire ACRG cohort compared to the TCGA cohort (45% vs. 24%, respectively), there was less clustering of DGC to a single subtype in the ACRG cohort (27% in the MSS/EMT), suggesting more heterogeneity in this patient population (33). In addition, CDH1 mutations were less common in the ACRG MSS/EMT subtype and RHOA mutations were seen in both the MSS/TP53+ and MSS/TP53- groups, suggesting that the TCGA GS and ACRG MSS/EMT subtypes are not the same despite significant overlap in characteristics.
In order to better classify the heterogeneity seen within the TCGA and ACRG analyses of DG, Ge et al. conducted a proteomic analysis of 84 DGC cases (29). The study analyzed shared proteomic features between DGC and nearby normal tissue from the same patients, ultimately classifying DGC into three proteomic subgroups—PX1, PX2, and PX3. Cell cycle dysregulation was exhibited PX1 and PX2, EMT in PX2, and immune-response proteins in PX3. Notably, PX1 subtype had the best overall survival (OS) while PX3 exhibited no significant benefit from adjuvant chemotherapy (log rank P=0.831), expressed immune-response proteins IDO1 and ARG1, and had the worst prognosis (log-rank P=0.038). Other proposed classification systems have focused more on clinicopathologic characteristics, including one by Shah et al. which divided GCs into three clinical subtypes – proximal non-diffuse, distal non-diffuse, and diffuse – and found distinct gene expression profiles for each subgroup (34). Further analyses of DGC should provide insight into the heterogeneity of DGC and may eventually inform clinical decision making regarding optimal treatment strategies and combinations for this disease.
In addition to differences in genomic, proteomic, and clinical profiles between DGC and other types of GC, mutations in adhesion and motility proteins in DGC may contribute to its infiltrative and poorly cohesive histology. CDH1 is a tumor suppressor gene that codes for E-cadherin and is one of the most common mutations seen in DGC. E-cadherin is calcium-dependent transmembrane glycoprotein that interacts with the extracellular domain to form the adherens junctions while the cytoplasmic domains connect to the cytoskeleton and mediate cellular signaling (24,35). This protein controls embryogenesis, oversees cell growth, regulates cell maturation, and maintains epithelial integrity and tissue architecture (36,37). WES and RNA-seq studies have confirmed higher rates of somatic CDH1 mutations in DGC and SRCC, especially in younger patients and those with peritoneal carcinomatosis (21,23). The most common CDH1 mutations seen are truncating mutations or predicted to be deleterious missense mutations in the cadherin domain, occurring 2.5 times more frequently in those with signet ring cell phenotype and predicted to be associated with loss of function (23). In all cases, CDH1 mutations were clonal and co-occurred with mutations in TP53, another important tumor suppressor gene, suggesting that this mutation is acquired early in the pathogenesis of the disease.
RHOA is a gene that encodes a small GTPase, and is involved in cell migration via actin organization, cytokinesis, and the cell cycle; it is somatically mutated in up to 25.3% of DG cases (20,38). These mutations tend to occur in specific hotspots and sometimes co-occur with mutations in its regulatory molecules, although mutations in the regulatory molecules are not specific to DGC (20). In addition, only 4.5% of RHOA-mutant DGC stained positive for HER2, suggesting that these tumors represent a subtype with little overlap to the more common HER2-positive GC. In vitro models also suggest that increased RHOA activity appears to correlate with resistance to chemotherapy and may provide a growth advantage in disease progression (20,39).
In addition to somatic mutations in CDH1 and RHOA, a study of WES on 23 DGC samples identified mutations in CMTM2, a member of a chemokine-like factor superfamily, as a driver mutation in DGC with lymph node metastases (11). In this study, patients with lower CMTM2 expression had shorter OS. The study also found a difference in mutational patterns between N0 and N3 tumors, suggesting both molecular and clinical heterogeneity within DGC. N3 tumors showed more frequent DNA copy number alterations compared to N0 tumors, and although N0 and N3 tumors both had a large number of mutated genes, only 7% of the total mutations were shared between the two groups. N0 tumors contained more mutations related to cell adhesion and transport, while N3 tumors had more tumors related to cell development. N3-specific mutations included TP53, ARID1A, and RHOA, providing evidence that certain mutational profiles may be correlated with a more aggressive disease course.
CLDN18 is a cellular tight-junction protein only expressed in gastric mucosa and ARHGAP is a regulator of G proteins which may be involved in cell motility (4). CLDN18-ARHGAP fusions have been noted in ~15% of DGC and may be associated with larger tumors, greater rate of lymph node metastases, and more advanced disease presentation compared to fusion-negative DGC patients (38,40). The CLDN18-ARHGAP fusion may also be associated with resistance to oxaliplatin and fluoropyrimidine-based chemotherapy (41).
In addition to these common mutations, a recent study of GCs presenting with peritoneal carcinomatosis provided further clues as to genomic alterations most commonly seen in sporadic DGC (23). Mutations in TAF1 and KMT2C were exclusively seen in DGC, more commonly occurring in those with signet ring cell histology, with truncating or deleterious TAF1 mutations typically co-occurring with CDH1 or TP53 mutations. DGC specimens also had higher ploidy than intestinal type cancers, with frequent heterozygous deletion of chromosome 3p, an area encompassing multiple tumor suppressor genes, 9p24 involving JAK2 and CD274 (PD-L1), and duplication of 20q, which includes multiple oncogenes. DGC tumors also had higher rates of dysregulation of important cancer signaling pathways when compared to the intestinal type, including G2/M cell cycle checkpoint, mTOR, MYC, and mitotic spindle assembly. Finally, DGC samples had higher levels of CD4 memory T cells with lower levels of cytotoxic lymphocytes, monocytes, NK cells, myeloid dendritic cells, and normal peritoneal fibroblasts, suggesting a change in tumor microenvironment within this histologic subtype that facilitates development of peritoneal carcinomatosis.
With regard to the commonly tested biomarkers in GC, HER2 overexpression or amplification is seen less commonly in DGC (6.2% vs. 32% in intestinal type) and appears to be mutually exclusive with RHOA mutations (20,42). Further, DGC are not likely to be microsatellite unstable (MSI-H), with at least one study finding no MSI-high tumors amongst the DGC cohort (20). Other molecular biomarkers which have been associated with DGC include alterations in the PI3K/Akt/mTOR pathway (such as overexpression of phosphorylated mTOR and HER, and FGFR amplifications leading to PI3K/Akt activation) and c-MET overexpression or amplification (43). On the other hand, VEGF/VEGFR, which is associated with NF-kB activation by H. Pylori, is more commonly associated with IGC. These findings may have implications for currently available treatment, resulting in lower efficacy of HER2-targeted and immune checkpoint inhibitors in certain subsets of DGC and highlighting the need for alternative targeted therapies for this subtype.
While most GCs are sporadic, 1–3% of cases occur in the setting of hereditary syndromes, which are more common in Western populations than in Asians (44-47). There are three main indications for genetic testing for CDH1 mutations or other germline genetic alterations (Table 1) according to the International Gastric Cancer Linkage Consortium (IGCLC) (26): (I) patient with a diagnosis of DGC before age 40 years; (II) two or more GC cases regardless of age, with at least one confirmed DGC, in first-degree or second-degree relatives; (III) personal or family history of DGC and lobular breast cancer, with at least one diagnosed before age 50 years. The presence of oral facial clefts in patients with DGC, bilateral lobular breast cancer diagnosed younger than 50 years of age, two family members with lobular breast cancer diagnosed younger than 50 years of age, and the pathological finding of signet-ring cells are all soft indications for genetic testing (24).
In addition to the available multigene hereditary cancer panels, newer technologies have been developed including next-generation sequencing panels to cover all the 16 exons of the CDH1 gene and liquid biopsies to detect circulating-tumor DNA and test for CDH1 promoter methylation in patients with GC (44,45). These NGS panels may pick up mutations in many of the genes implicated in hereditary syndromes to which DGC may be linked. However, the IGCLC guidelines clearly do not capture all patients who should be screened for a CHD1 mutation. In one study examining 26,936 patients who underwent multigene panel testing for any reason, 65% of patients who were identified to have a pathogenic CDH1 variant would not have otherwise met IGCLC guidelines for testing (47).
In addition to CDH1 germline mutation on chromosome 16q22 (44,48,49), germline mutations in the PALB2 gene, which encodes a protein that binds to the breast cancer 2 (BRCA2) early onset protein, have been linked to HDGC (50). Other familial cancer syndromes that are associated with GC include: hereditary non-polyposis colorectal cancer syndrome or Lynch syndrome (mutations in MLH1, MSH2, MSH6, or PSM2) (51), Peutz-Jeghers syndrome (mutations in STK11) (52), familial adenomatous polyposis (APC gene mutation) (53), gastric adenocarcinoma and proximal polyposis of the stomach (GAPPS) (54), MUTYH gene-associated polyposis (MAP) (55), Cowden syndrome (PTEN gene mutation) (56), juvenile Polyposis syndrome (germline mutations in the BMPR1A and SMAD4/MADH4 genes) (57,58), Li-Fraumeni syndrome (germline TP53 mutations) (59), MAP3K6 germline mutations (60), and loss-of-function ATM gene mutations (21). CTNNA1 mutation has also been implicated in HDGC (22,61).
Since the initial report of CDH1 germline mutation associated HDGC in indigenous New Zealand Māori kindred by Guilford et al. in 1998 (48), 155 distinct germline CDH1 mutations across the gene have been identified with 126 mutations being pathogenic (24). Truncating mutations or deficient mRNA expression are the leading causes for pathogenic non-functional E-cadherin protein (22,26,62). Autosomal dominant inheritance has been described in HDGC syndrome with oncological process initiated after somatic inactivation of the second CDH1 allele (63). HDGC, hereditary lobular breast cancer, oral facial clefts and blepharocheilodontic syndrome constitute the pleiotropic constellation of manifestations in patients with CDH1 germline mutations (24,25,64,65). These patients are thought to have a cumulative risk of 56% for females and 70% for males to develop GC by age of 80 years (66). However, these numbers came from families who were tested based on IGCLC criteria. A recent review of the Surveillance, Epidemiology, and End Results (SEER) database suggested that incidence of GC among all patients with pathogenic CDH1 variants (not just those tested based on IGCLC guidelines) may be significantly lower than previously reported, closer to 42% for men and 33% for women (67). The average age of HDGC diagnosis is 37 years (68,69). Symptomatic patients are more often found to have metastatic disease and a cure rate as low as 10% (26,70).
In CDH1-negative index cases, 11.1% have been found to have pathogenic variants driving familial disease (66). Novel truncating mutations in CTNNA1, a gene encoding for alpha-catenin and whose mutation results in alpha-catenin expression loss, have been reported in 2 unrelated families. As CTNNA1 is involved in intracellular adhesion, this loss of function mutation likely mirrors that seen with CDH1 mutations and serves as a susceptibility gene for DGC. In families affected by CTNNA1 mutations, DGC arises at a later age and has incomplete penetrance (22,61). Novel truncating mutations in BRCA2, PRSS2, ATM, and PALB2 as well as missense variants in SDHB, STK11, and MSR1 were also identified, suggesting that hereditary DGC may be more heterogeneous than previously thought and may require more liberal referral to genetic counseling.
Management: presentation and treatment outcomes
DGC is associated with a poorer prognosis compared to IGC. In one meta-analysis of 60,000 GC patients across 73 studies with all stages of disease, there was an increased risk of death in DGC patients compared to IGC (HR 1.23, P<0.0001) (27). This adverse prognosis was found across multiple subgroups including loco-regional disease (HR 1.21, P<0.0001), advanced disease (HR 1.25, P=0.014), both Western and Asian patients, and regardless of chemotherapy exposure. A second large series of over 3000 patients (30% of which had DGC) demonstrated similar findings, with a poorer 5-year survival in patients with DGC compared to IGC (45% vs. 57.7%, P<0.001) (6).
The poor prognosis associated with DGC is due in part to its aggressive nature and in part to the difficulty in detecting the disease (71). In the early stages of disease, DGC can present with vague symptoms such as reflux or no symptoms at all as the tumor infiltrates the musculature of the gastric wall leading to a rigid, “leather-bottle” stomach (linitis plastica). In more advanced stages, DGC is more likely to present with direct extension into the nearby anatomic structures including; the peritoneum, omentum, and mesocolon, while IGC is more frequently associated with hematogenous dissemination and hepatic metastases (2,5,7,72). In addition, DGC is more likely to result in peritoneal carcinomatosis, which may not be measurable on standard imaging (23). Endoscopic detection is challenging due to the presence of isolated tumor cells or small tumor cell clusters which infiltrate in an unpredictable pattern (23,71). Therefore, the disease can be visually absent on endoscopy and even random sampling of gastric tissue might miss cells which are too deep or scattered. Computer tomography and positron emission tomography, routinely used to stage GC, are limited in detecting peritoneal or infiltrating DGC, due to low standard uptake values (SUV), perhaps due to a lack of expression of glycolytic pathways compared to the upregulation of these pathways in IGC (8,34). Given the predilection for peritoneal metastases in DGC, diagnostic laparoscopy may be a useful tool in evaluation of this histologic subtype (73).
Suspected or confirmed HDGC patients are best managed at a comprehensive cancer center, where a multi-disciplinary team including a gastroenterologist, genetic counsellor, surgical oncologist, medical oncologist, experienced pathologist, and nutritionist is available to provide optimal oncological outcomes. The growing arsenal of cost-effective genetic and genomic assessment tools, combined with the unique role of genetic counsellors, have an important role in the evaluation and diagnosis of HDGC (74). Early detection of CDH1 mutations using multigene hereditary cancer panels in otherwise unsuspected patients provides timely comprehensive oncological care for both patients and families, and may improve OS (70), while newly emerging multigene panels help with the detection of CDH1 mutations in young patients who are adopted or have unknown family history (70).
Genetic testing is followed by upper endoscopy using the Cambridge protocol to maximize the detection of focal aggregations of signet-ring cells and also evaluate gastric distensibility to assess for pagetoid spread and submucosal infiltration which would be concerning for linitis plastic (46,75). The Cambridge protocol includes a minimum of 30 biopsies divided into 6 groups, each containing five random biopsies from the pre-pyloric mucosa, antrum, transitional zone, body, fundus, and cardia (46). This should be done using a white light high-definition endoscope over at least 30 minutes to allow for careful inspection of the entire gastric mucosa (46). The utility of this extensive endoscopic protocol is to increase the yield of detecting cancerous foci that do not manifest as visible lesions, although missing minute foci is common (26,76). Screening for asymptomatic patient with positive CDH1 mutation should begin at age of 16–18 years (26).
Considerations in surgical approaches
Histologically, DGC as seen in the HDGC setting can be confined to the epithelium (in situ), spreading in pagetoid fashion, or invasive (44). Total gastrectomy and Roux-en-Y esophagojejunostomy is the curative surgical approach in asymptomatic patients but should only be undertaken after baseline endoscopy. The IGCLC recommends prophylactic total gastrectomy for CDH1 mutation carriers during their third decade regardless of endoscopic features (26,46,77). Frozen sections from the proximal and distal portions of the specimen should be sent intraoperatively to confirm the removal of the entire gastric mucosa and prevent future recurrence (78). These operations can be performed either laparoscopic or robotic techniques. Patients who are not willing to undergo surgery should be followed closely by endoscopic surveillance with recommendation for surgery once an early pathological abnormality is detected (26). For those with a missense mutation, the decision to undertake a prophylactic total gastrectomy is less clear, as the pathogenicity of these mutations is less understood (44). Pathological staging is commonly T1 N0 for patients who undergo prophylactic gastrectomy after incidental detection of CDH1 mutations (70), thought to be related to the low proliferative index of signet ring adenocarcinoma and early surgical intervention. There is no consensus on the level of lymph node dissection; however, D1 lymph node dissection is typically recommended in patients undergoing prophylactic gastrectomy, as missing cancerous focus in the setting of prophylactic gastrectomy is not uncommon (26,70). We do not currently advocate for a D2 dissection when performing prophylactic gastrectomy. Prophylactic bilateral mastectomy is not routinely performed and breast cancer surveillance with magnetic resonance imaging starting between the age 25–35 years is recommended (44).
For those without a known hereditary syndrome and histologically confirmed DGC, surgical resection to achieve negative surgical margins remains the mainstay of curative therapy. While endoscopic resection modalities such as endoscopic submucosal dissection (ESD) and endoscopic mucosal resection (EMR) (79,80) can be used for early non-ulcerated GC (T1 tumors) with low risk of lymph node metastasis (80,81), the majority of patients will require minimally invasive or open approaches. D1 dissection is commonly performed in patients with cT1aN0 and well-differentiated ≤1.5 cm cT1bN0 tumors who do not have access to endoscopic resection at experienced centers (82). Gastrectomy with D2 dissection is the standard surgical treatment for cT1N+ and resectable T2–T4 tumors in East Asia since its introduction in 1960’s, whereas D2 dissection did not show survival benefits in Western surgical oncology practices (82-85). Therefore, the D2 dissection is a recommended but not a mandatory procedure in Western countries and should be performed by experienced surgeons in high-volume comprehensive cancer centers. If GC invades the duodenum, D2 dissection is extended to involve retro-pancreatic lymph nodes and this dissection is defined as D2+ (82). There is no role for D3 dissection, as it confers a higher morbidity and worse survival (86). It is recommended that ≥15 lymph nodes to be harvested and examined for accurate staging, and is used as a quality metric for surgery (87). Roux-en-Y gastrojejunostomy is the ideal reconstruction after total gastrectomy and has been used more frequently after distal gastrectomy due to reduced postoperative complications and improved quality of life (88). Cytoreductive surgery (CRS) and hyperthermic intraperitoneal chemotherapy (HIPEC) have been offered to patients with peritoneal metastases from GC. Many studies have argued the benefit and morbidity of CRS/HIPEC with many showing no survival advantage and others demonstrating few extra months of survival; nonetheless, this is still a topic of debate and controversy and should only be performed on clinical trial (89,90).
Considerations in systemic therapy
From a therapeutic perspective, DGC is associated with decreased responsiveness to chemotherapy and chemoradiation (23,39,91-93). In the non-metastatic setting, perioperative therapy has become a standard of care since the publication of the MAGIC trial, a landmark randomized phase III trial that established the survival benefit of this approach when compared to surgery alone in resectable gastric, GEJ, or lower esophageal adenocarcinoma (HR 0.75, P=0.009). However, this study did not analyze therapeutic outcome differences by histologic subtype or Lauren classification, and multiple studies since then have suggested a resistance of SRCC to chemotherapy (91,92). Given this observed resistance in SRCC, the phase II PRODIGE 19 was designed to examine upfront surgery followed by adjuvant ECF for 6 cycles versus the MAGIC regimen of 3 cycles before surgery and 3 cycles after (94). The study met its endpoint of OS at 2 years, with a median OS (mOS) favoring perioperative chemotherapy rather than upfront surgery [39 vs. 28 months, exploratory hazard ratio 0.71 (95% confidence ratio 0.40−2.64)]; final results are pending (95).
More recently, the FLOT4-AIO demonstrated the advantage of using perioperative FLOT (infusional 5-fluorouracil, leucovorin, oxaliplatin, and docetaxel) over the prior MAGIC regimen (epirubicin, cisplatin, infusional 5-fluorouracil/capecitabine) (96). In the study, approximately 27% of patients had DGC, 45% with IGC, 20% unevaluable, and 8% unknown. An improvement in OS favoring the FLOT cohort (mOS 50 vs. 35 months, P=0.012) was found, with benefit for both DGC and non-diffuse cohorts. However, the non-diffuse cohort had a numerically favorable hazard ratio for survival with FLOT compared to the diffuse cohort (0.74 vs. 0.85, respectively). In a pooled subgroup analysis evaluating the rate of complete pathologic response (pCR) across both arms of chemotherapy, pCR was seen more frequently in IGC compared to DGC (16% vs. 3%, P=0.004) (97). Therefore, while resectable DGC appears to respond to chemotherapy in the perioperative setting, this effect may not be as robust as in IGC tumors. Further research can help clarify this degree of response and help identify which patients will benefit from adjuvant chemotherapy.
DGC may also be less responsive to chemoradiotherapy in the adjuvant setting. INT0116 was a phase III trial of adjuvant chemoradiation versus observation after resection for GC and found benefit to chemoradiation for IGC but not DGC (P=0.077) (98). Although not statistically significant, these findings were replicated in the ARTIST trial, which randomized 458 GC (of which 60% had DGC) patients to adjuvant chemotherapy or chemotherapy plus chemoradiotherapy. Across the entire cohort, there was no benefit in disease-free-survival (DFS) or OS with the addition of chemoradiotherapy to chemotherapy (P=0.086 and 0.52, respectively). However, subgroup analysis found a significant improvement in DFS for the IGC cohort but not DGC, and the effect of radiotherapy differed significantly between IGC and DGC for both DFS and OS (P<0.01 and P<0.01, respectively) (99), suggesting that DGC may not be as sensitive to adjuvant chemoradiotherapy as IGC.
Landmark studies of systemic therapy in advanced disease have typically incorporated subgroup analyses examining treatment effects in DGC and IGC subgroups (Table 2). However, even though DGC and SRCC have been associated with a poorer response to chemotherapy in some studies (91,92), many of the landmark studies of cytotoxic chemotherapy in GC/GEJC have not found a statistically significant difference in treatment effect between diffuse and intestinal histology possibly due to small numbers of patients or the study not being powered to detect such a difference. While early platinum/fluoropyrimidine studies did not include these analyses, the WJOG 4007 trial, a phase 3 trial comparing irinotecan to paclitaxel in second-line, found no significant difference in OS between arms (100); intestinal and diffuse histology had similar HR for OS (1.15 vs. 1.11, respectively). The TAGS study, which evaluated trifluridine/tipiracil versus best supportive care in treatment refractory GC/GEJ, showed an improvement in OS (5.7 vs. 3.6 months, P<0.001) with hazard ratios for OS between diffuse and intestinal histology appearing relatively similar (0.69 vs. 0.58) and subgroup analysis not detecting a significant difference in survival (101). Although these studies did not detect a difference between histological subtypes, other studies have begun to specifically look at the use of chemotherapy in DGC and SRCC. For example, TEFOX (docetaxel, 5-fluorouracil, and oxaliplatin) has shown efficacy in a single arm study of 65 patients with advanced signet-ring carcinoma (ORR 66%, DCR 87%) (108).
Vascular endothelial growth factor (VEGF) and VEGF-receptor (VEGFR) expression have been associated with GC, though the degree VEGF/VEGFR expression between diffuse versus intestinal histology remains controversial (109,110). Some studies have found an association between VEGF/VEGFR expression and intestinal type histology, while others have found no correlation. Studies on anti-angiogenic therapy have also failed to show a strong connection between Lauren classification and response to therapy. The REGARD trial, which evaluated single-agent ramucirumab versus best supportive care in the second-line setting, demonstrated an OS benefit to ramucirumab, with diffuse type tumors appearing to benefit from ramucirumab similarly versus intestinal type tumors in terms of PFS (hazard ratio 0.49 vs. 0.47), with a numerically better OS (hazard ratio 0.56 vs. 1.01, respectively) (102). The RAINBOW trial, however, in which ramucirumab was combined with paclitaxel in the second-line setting, appeared to show a greater benefit for the combination therapy in intestinal type tumors compared to diffuse-type tumors (hazard ratio for OS 0.71 vs. 0.86, respectively) (103).
HER2 amplification is seen less frequently DGC compared to IGC (42,43,111), and large trials have suggested a possible larger benefit to HER2-directed therapy in the intestinal subgroup. The ToGA trial, demonstrating benefit to adding trastuzumab to platinum/fluoropyrimidine therapy in the front-line setting, demonstrated a numerically greater benefit in the in the intestinal group compared to the diffuse cohort (HR for OS 0.69 vs. 1.07), though treatment effect could not be excluded in either cohort (42). The JACOB trial, a negative trial of platinum/fluoropyrimidine/trastuzumab-based therapy with or without pertuzumab, showed no global difference in OS (17.5 vs. 14.2 months, P=0.057), and no difference between diffuse or intestinal histology (HR 0.82 vs. 0.85, respectively) (104). However, numbers for diffuse histology in the study were small (n=39).
Immunotherapy in advanced GC has become an area of active investigation but may have a decreased response in DGC compared to IGC. One study showed that the genome-stable TCGA subtype (of which DGC are enriched) demonstrated significantly lower responses to pembrolizumab compared to other subtypes (112). The larger clinical trials have been mixed with respect to efficacy of immunotherapy in DGC, however. In KEYNOTE 062, a front-line trial of pembrolizumab alone versus pembrolizumab plus chemotherapy versus chemotherapy alone showed that single agent pembrolizumab was noninferior to chemotherapy in the intention to treat population, and the hazard ratios for survival were relatively similar between diffuse and intestinal subtypes (0.73 vs. 0.92 favoring pembrolizumab, respectively) (105). KEYNOTE 061 was a randomized phase 3 trial which compared patients with programmed death ligand-1 (PD-L1) combined positive score (CPS) >1 to pembrolizumab versus paclitaxel in the second line setting for advanced GC/GEJC (106). While the overall study was negative for pembrolizumab benefit, the hazard ratio for survival was numerically better in intestinal type tumors compared to diffuse type (0.66 vs. 0.88, respectively). Similar results were seen in ATTRACTION 2, which randomized refractory GC patients in the third-line setting to nivolumab versus placebo and found an OS benefit (5.26 vs. 4.14 months P<0.0001) (107); intestinal histology appeared to have a numerically better hazard ratio for OS (HR 0.59 vs. 0.82, P=0.377) versus DGC, though this was not statistically significant. Additional post-hoc analyses of banked tumor specimens and pre-planned analysis by histologic subtype in large phase 3 trials will be necessary before definitive conclusions regarding optimal treatment strategies for DGC can be made.
While previous targeted therapy trials have focused on pathways more common in IGC, a novel agent targeting CLDN18 may have some impact in DGC. Zolbetuximab is a chimeric IgG1 monoclonal antibody which binds to CLDN18.2 on the surface of tumor cells and mediates killing of CLDN18-positive cancer cells via antibody-depended cellular cytotoxicity. In a single arm phase II trial of single agent zolbetuximab in refractory GC (MONO trial), zolbetuximab demonstrated an objective response rate of 9% and a clinical benefit rate of 23%, with 90% of those achieving clinical benefit having moderate or high expression of CLDN18.2 in at least 70% of tumor cells (113). Of note, 41% of the patients enrolled on this trial had DGC. The FAST trial, a phase II trial of front-line epirubicin, oxaliplatin, and capecitabine with or without zolbetuximab in patients with CLDN18-positive advanced GC, found an improvement in its primary endpoint of PFS (5.7 vs. 7.9 months, P=0.001) as well as a numerically better OS (median 8.7 vs. 12.5 months) with increased efficacy in very high expressing tumors (114,115). Similar to the MONO trial, 45% of patients enrolled had DGC, likely secondary to the fact that both studies required centralized testing of CLDN18.2 membrane expression and only enrolled those patients with staining intensity of at least 50% of tumor cells. This strategy likely selects for DGC patients, and we await the results of a large phase III trial of infusional 5-fluorouracil/oxaliplatin (FOLFOX) with or without zolbetuximab, currently underway, to potentially provide additional insight in the management of this subtype (NCT03504397).
Conclusions and future directions
From its initial classification in 1965, DGC has demonstrated unique histological characteristics which may explain its clinical behavior. In addition, emerging molecular sequencing technologies and the recognition of hereditary syndromes have added insight into risk profiles and potential therapeutic targets. However, the poorly cohesive and infiltrating nature of tumor cells often leads to locally invasive disease, lower success rates in early detection, and peritoneal carcinomatosis. This difficulty with screening and surveillance especially affects members with suspected or known familial predisposition to DGC, resulting in recommendations for highly morbid procedures such as prophylactic gastrectomy. Ultimately, patients with DGC, especially those with hereditary syndromes, are best managed at high-volume comprehensive cancer centers which can provide multidisciplinary care.
In terms of treatment, DGC, including signet ring cell cancer subtypes, appear to demonstrate resistance to standard cytotoxic chemotherapy and chemoradiotherapy in early stage disease, with less apparent trends in the metastatic setting. However, there appears to be a heterogeneity in response which goes beyond just histologic classification. More recently, molecular subtyping has allowed us to better characterize the disease and understand its behavior. Analyses from the TCGA and ACRG have provided insight into molecular profiles which can help classify DGC into more predictive and prognostic subgroups. As novel agents are investigated, including immunotherapy and targeted therapy, understanding how the various subtypes of DGC may respond to treatment will be essential. The majority of prospective studies in GC have historically included subgroup analyses of DGC versus IGC in terms of histology. In the future, prospective trials which study the molecular subtypes of GC (including DGC) will allow us to more precisely tailor treatments for patients based on their disease characteristics.
We thank Dr. Nicholas Mackrides for his contribution of the photomicrographs included in this paper.
Funding: This publication was supported by grant number P30 CA006927 from the National Cancer Institute, NIH. Its contents are solely the responsibility of the authors and do not necessarily represent the official views of the National Cancer Institute or the National Institutes of Health.
Conflicts of Interest: Dr. Crystal Denlinger has received advisory board honoraria from Astellas, Exelixis, Bayer, Merck, Bristol Myer Squibb, Eli Lilly & Co, EMD Serono, and BeiGene. Dr. Denlinger has received institutional grant support from Array BioPharma, Amgen, Advaxis, Bristol Myer Squibb, Astra Zeneca, Sanofi, BeiGene, Merrimack Pharmaceuticals, Roche/Genentech, Macrogenics, Lycera, Zymeworks, and Agios Pharmaceuticals. Dr. Jeffrey Farma is on the data safety monitoring board for Delcath. The other authors have no conflicts of interest to declare.
Ethical Statement: The authors are accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved.
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Cite this article as: Iyer P, Moslim M, Farma JM, Denlinger CS. Diffuse gastric cancer: histologic, molecular, and genetic basis of disease. Transl Gastroenterol Hepatol 2020;5:52.