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Unraveling the Esophageal Cancer Tumor Microenvironment: Insights... 225
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immune cell function to identify and target only external antigens while recognizing self-produced antigens as non-threats (Shi et al. 2018). However, cancer cells expressing immune checkpoints inhibitors like PD-1 and CTLA4 alter co-stimulatory signals and elude or impede immune monitoring, resulting in tumor growth and development. Therefore, efforts are focused on developing immunothera­peutic interventions to enhance antitumor immune response safely and effectively (Blattman and Greenberg 2004).
PD-1 functions as an inhibitory signaling receptor on the surface of T lymphocytes. Programmed cell death-ligand1 (PD-L1) is one of the ligands which cancer cells commonly overexpress to inhibit function and stimulation of lymphocytes, inhibiting T-cell-mediated eradication (Sharpe and Pauken 2018). Recent research has revealed that checkpoint inhibition, which targets PD-1 or PDL-1, is a successful therapy for several tumors, including melanoma, lymphoma, lung cancer, head and neck cancer, and others that express high levels of PD-L-1 or PD-1 overexpression in T cells (Chen et al. 2020). PD-L1 inhibitors are therefore recognized as efficient, targeted therapies for preventing T-cell cancer evasion. An anti-PD-1 antibody “pembrolizumab (Nivolumab)” binds with the PD-L1 on tumor cells to stop it from interacting to the PD-1 on T cells and stopping T cell inhibition, allowing T cells to kill cancer cells (Han et al. 2020). In a phase II KEYNOTE-180 clinical trial, EC patients who received pembrolizumab experienced overall remis­sion rates of only 10%, with median overall survival times (mOS) of 5.8 months and objective response rates (ORR) of 14.3% (Vivaldi et al. 2020). A similar study using pembrolizumab observed ORR of 13.8% and 6.3% in EC patients with PD-L1 expression compared to PD-L1 negative patients, respectively (Shah et al. 2019). Though the side effects of pembrolizumab including nausea, vomiting, and hyper­tension have not been thoroughly studied; however, these clinical studies result in the FDA approval of pembrolizumab as a second-line therapy option for PD-L1 positive EC patients. Another anti-PD-L1 antibody Nivolumab has been approved by the FDA as a secondary treatment for EC patients with advanced disease (Barsouk et al. 2019).
A homolog of the CD28 protein, CTLA4 is a transmembrane protein that is only expressed on activated T cells. It is a suppressor of IL-2 expres sion and an antago­nistic regulator of T cells (preventing the entry into the G
phase of the cell cycle)
1
and thus allowing the cancer cells to escape the immune attack. CTLA4 has been shown in certain studies to be an immune-based target for cancer treatment (Leach et al. 1996). While many CTLA4-targeting antibodies, such as Ipilimumab and Tremelimumab, are currently being used against various tumors, no clinical evi­dence of their effectiveness for EC patients is currently available (Zhao et al. 2018). More recently, a fully humanized monoclonal antibody “Tremelimumab” has also been investigated as a secondary therapy for metastatic melanoma (Comin-Anduix et al. 2016). Another immunological checkpoint is the TIM-3 which significantly inhibits CD4+ T helper cells and CD8+ cytotoxic T lymphocytes (Balajam et al.
2020). Recently Zhao et al. analyzed the expression of TIM-3 and PD-1 on CD8+
TILs in EC patient samples and observed that patients with high expression of PD-1 and high density of CD8+ TILs have worse relapse-free survival (RFS) and OS
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(Zhao et al. 2020). Despite this, no drug is currently in use targeting TIM-3 in EC patients (Alsina et al. 2018). Another crucial immune checkpoint protein, LAG-3, is expressed by TILs, NK, and B cells. Similar to TIM3, no therapies targeting LAG-3 are currently ongoing in EC patients. While many vaccines effectively activate cytotoxic T cells and target cancer-specific antigens, however such studies on EC patients have shown mixed results attributed to the distinct molecular features of EAC and ESCC subtypes (To et al. 2022). Therefore, future clinical studies should be designed considering the potential variability among different tumors and their subtypes. In addition, personalized cancer immunotherapy called adoptive T-cell transfer uses the patient’s own autologous immune cells that have been altered and amplified ex vivo. The use of adoptive T-cell therapy has increased survival in EC (Gu et al. 2021). Despite these improvements, immunotherapy is associated with immune-related adverse events (irAEs) such as cutaneous, gastrointestinal, endo­crine, and liver toxicity. While many biomarkers can predict immunotherapy prog­nosis, the low efficacy of these biomarkers warrants new biomarker s predicting immunotherapy response. An overview of therapeutic targets, clinical trials, and key parameters in EC immunotherapy is shown in Table 1.
5 Conclusion and Future Directions
In the Western world, including the United States, EAC stands as the predominant subtype of esophageal cancer EC. Despite remarkable advancements in multimodal treatment modalities, the prognosis for EC patients remains disheartening, with the average survival time falling short of a year. Consequently, there is an imperative demand for innovative therapeutic approaches for advanced EAC and ESCC, emphasizing targeted therapies that deliver exceptional efficacy and minimal adverse effects.
The genesis of ESCC has been associated with genes such as p53 and retinoblas­toma (Rb), wherein deleterious mutations render these tumor suppressor genes ineffective, thereby fostering cancer development. The esophageal cancer TME encompasses various immune cells, including NK cells, TAMs, T-regs, DCs, MCs, MDSCs, neutrophils, TAPs, and a myriad of cytokines and chemokines that play a vital role in cancer progression.
A multitude of clinical trials are currently underway to scrutinize the potential benefits of conjoining cytotoxic and targeted therapies for EC patients. Concurrently, researchers are delving into next-generation treatment strategies, encompassing pep­tide vaccines, adoptive T-cell therapy, oncolytic viruses, and the amalgamation of immune-chemotherapy with radiation therapy. Nonetheless, given the low response rates and the significant clinical and financial risks associated with immunotherapy, a meticulous patient selection process is imperative to optimize treatment outcomes and reduce unnecessary burden on patients.
In light of the pivotal role played by the TME in cancer development and progression, it is of paramount importance to gain a comprehensive understanding of the similarities and disparities among the TMEs in the various EC subtypes. This
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Primary outcome
measures References
Patient
population
Clinical trial
identifier Phase Status
Reck et al. (2013)
NCT02743494 II Completed ESCC OS Kudo et al. (2017)
Curti et al. (2013)
tolerability
NCT02221960 I Completed ESCC, EAC Safety and
(2017)
tolerability
NCT02812875 I/II Completed ESCC, EAC ORR Papadopoulos et al.
Melisi et al. (2016)
tolerability
Vonderheide et al.
(2010)
tolerability
NCT02955251 I Completed ESCC, EAC Safety and
Rodriguez-Abreu et al.
(2020)
tolerability
No. Target Therapeutic strategy
Table 1 Overview of therapeutic targets, clinical trials, and key parameters in esophageal cancer immunotherapy
1 PD-1 Nivolumab
(pembrolizumab)
Ipilimumab NCT01938612 I/II Completed ESCC, EAC Safety and
4
2 PD-L1 Durvalumab NCT03040986 II Completed ESCC, EAC PFS Kelly et al. (2020)
3 CTLA-
4 IDO1 Indoximod NCT03301597 II EAC PFS Soliman et al. (2014)
antibody)
5 OX40 MEDI0562 (anti-OX40
6 VISTA CA-170 (VISTA
antagonist)
7 TGF-β Galunisertib NCT02581787 I Completed ESCC Safety and
antibody)
8 CD40 ABBV-428 (anti-CD40
9 LAG-3 Relatlimab NCT01968109 I/II Completed ESCC, EAC ORR Ascierto et al. (2017)
10 TIGIT Tiragolumab NCT03417037 I Completed ESCC, EAC Safety and
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invaluable insight will shed light on the heterogeneous signaling outcomes, patient diversity, and differential responses to treatment, thereby paving the way for tailored therapeutic strategies that cater to individual patient needs and enhance survival rates in this devastating malignancy.
Ethics Approval and Consent to Participate Not applicable.
Consent for Publication All authors consent to publication.
Availability of Data Not applicable.
Competing Interests The authors declare no competing interests.
Funding This study was supported by the Ramalingaswami Fellowship (Grant number: DO NO.
BT/HRD/35/02/2006) from the Department of Biotechnology, & Core Research Grant (CRG/2021/003805) from the Science and Engineering Research Board (SERB), Govt. of India, New Delhi, Promotion of University Research and Scientific Excellence (PURSE) grant from the Department of Biotechnology, Govt. of India, New Delhi, to the Islamic University of Science and Technology (IUST), Awantipora to Dr. Macha, and Sidra Medicine Precision Program funding to Ajaz A. Bhat (SDR400105).
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The Interplay Between Immunity and Gut
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Microbiota in Colon Cancer
Lara Malaspina, Federica Petrelli, Bruno Perotti, Marco Arganini, and Maria Raffaella Ambrosio
Abstract
Despite the introduction of valid screening programs and advances in therapies,
colorectal cancer (CRC) still remains one of the leading causes of death with an
increasing incidence in younger patients. The association of this tumor with
external modifiable factors such as life habits and diet is well known. In recent
years, growing attention has been focused on the intestinal microbiota, the
complex ecosystem made up of bacteria, viruses, and fungi, which plays a crucial
role in CRC tumorigenesis as well as in response to therapy. There are a lot of
mechanisms underlying the interplay between CRC and microbiota and their
identification is crucial to exploi t the microbiota in every phase, from prevention
to early identification of disease, as a new therapeuti c target and finally as a
biomarker of response to conventional therapy. In the following paragraphs, we
will elucidate the role of intestinal microbiota and immune system in CRC
carcinogenesis as well as their interplay. Moreover, we will address the potential
role of gut microbiota in CRC screening, diagnosis, and therapy.
Keywords
Carcinogenesis · Colon cancer · Dysbiosis · Gut microbiota
1 Introduction
CRC is one of the most common cancers ranking third in terms of incidence, much higher in developed countries rathe r than in developing ones and accounting for 1.9 million new cases in 2020 (Morgan et al. 2023). With its continued
L. Malaspina · F. Petrelli · B. Perotti · M. Arganini · M. R. Ambrosio (✉) Azienda Sanitaria Toscana Nord Ovest, Pisa, Italy e-mail: maradot@libero.it; mariaraffaella.ambrosio@uslnordovest.toscana.it
#
The Author(s), under exclusive license to Springer Nature Switzerland AG 2023 Interdisciplinary Cancer Research, https://doi.org/10.1007/16833_2023_179 Published online: 30 August 2023
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progression in Western countries, the incidence of CRC is predicted to increase to
2.2 million new cases and 1.1 million deaths in the next decade (Arnold et al. 2017).
The introduction of effective colonoscopy screening resulted in a shift to earlier stage diagnosis (Siegel et al. 2022) and a subsequent decrease in mortality. If this is true for people over 65 years, in the last decades, incidence increased in young adults for whom the screening is not recommended. This trend, along with the continued burden in the overall population, is alarming. Therefore, new screening strategies for early detection and proper treatment are urgently needed (Song et al. 2020) along with the implementation of known preventive measures.
Most CRCs are sporadic or non-inherited and well-known and modifiable envi­ronmental factors, such as diet and lifestyle (smoking, metabolic syndrome, con­sumption of red and processed meat; low consumption of fruits/vegetables, physical inactivity, and heavy alcohol consumption) account for over 50% of sporadic CRC (Song et al. 2020). Among them, the intestinal microbiota was recognized as an important contributor and despite the long-standing association between CRC, diet, and microbiome, which dates back to the 60 s (Aries et al. 1969), its role in CRC initiation, progression, and metastasis was only recently investigated (Cheng et al.
2020; Drewes et al. 2016).
2 Gut Microbiota
Gut microbiota is a complex ecosystem derived from a proces s of host- microbes coevolution that lasts for thousands of years and depends both on the host and on their physiological environment (Sung et al. 2017).
Human gut microbiota is composed of an outstanding number (10 archaea, bacteria, eukaryotes, viruses, and microbes dominated by four main phyla: Firmicutes, Bacteroidetes, Actinobacteria, and Proteobacteria (Gaines et al. 2018). Their gene pool forms the so-called “microbiome” , exceeding the human genome by 150 times (Cheng et al. 2020). It is usually divided into two main groups: the “core human microbiome” and the “variable human microbiome” the former comprises a large proportion (38%) shared interindividually, the latter indicates microbial genes belonging to a specific cohort of people. They are due to specific host characteristics depending also on environmental changes and socio-cultural influences (Turnbaugh et al. 2007) occurring after birth. Early, microorganisms colonize all the surfaces of the human body exposed to external agents, reaching a stabilization within the first year of life (Sung et al. 2017).
The lower tract of the gastrointestinal system harbors the greatest density and diversity of microorganisms (Lee et al. 2021) and recent evidence revealed that these communities and their collective genomes are not just passive bystanders but actively maintain the physiology and health of the host by influencing basic functions, such as metabolism, nutrition, tissue development, inflammation and immunomodulation, and pathogen resistance regardless of health or disease status (Ge et al. 2021), Mammals and their commensal microbes are normally symbiotic, and the immune system has established various tolerance mechanisms. Specifically,
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