Treatment of patients with oesophageal and gastric cancer (OeGC) is guided by disease stage, patient performance status and preferences. Lymph node (LN) status is one of the strongest prognostic factors for OeGC patients. However, survival varies between patients with the same disease stage and LN status. We recently showed that LN size from patients with OeGC might also have prognostic value, thus making delineations of LNs essential for size estimation and the extraction of other imaging biomarkers. We hypothesized that a machine learning workflow is able to: (1) find digital H&E stained slides containing LNs, (2) create a scoring system providing degrees of certainty for the results, and (3) delineate LNs in those images. To train and validate the pipeline, we used 1695 H&E slides from the OE02 trial. The dataset was divided into training (80%) and validation (20%). The model was tested on an external dataset of 826 H&E slides from the OE05 trial. U-Net architecture was used to generate prediction maps from which predefined features were extracted. These features were subsequently used to train an XGBoost model to determine if a region truly contained a LN. With our innovative method, the balanced accuracies of the LN detection were 0.93 on the validation dataset (0.83 on the test dataset) compared to 0.81 (0.81) on the validation (test) datasets when using the standard method of thresholding U-Net predictions to arrive at a binary mask. Our method allowed for the creation of an \"uncertain\" category, and partly limited false-positive predictions on the external dataset. The mean Dice score was 0.73 (0.60) per-image and 0.66 (0.48) per-LN for the validation (test) datasets. Our pipeline detects images with LNs more accurately than conventional methods, and high-throughput delineation of LNs can facilitate future LN content analyses of large datasets.

Using the National Cancer Database, we introduce the findings of a retrospective investigation of the largest cohort of cases with Merkel cell carcinoma (N = 20,829). A decreasing proportion of stage I (P = .0004) and stage II (P = .0065) Merkel cell carcinoma among skin cancers was complemented by an increasing proportion of stage III disease (P < .0001). A predominance of non-Hispanic White (96.4%), male (62.6%) patients with a mean age of 74.5 ± 10.8 years and Medicare coverage (73.5%) was observed. Stage I was the most common presenting stage at diagnosis (29.2%), followed by stages II (12.7%), III (11.0%), and IV (3.8%). Most Merkel cell carcinoma tumors grew outside the head and neck (53.4%) and showed a nodular growth pattern (66.0%) but no extracapsular lymph node (90.5%) or lymphovascular involvement (63.8%). Narrow-margin excision and radiation therapy (RT) were used in 75.2% and 56.3% of tumors, respectively. Wide-margin excision lead to improved overall survival (P < .001) versus narrow-margin excision, particularly in stage III (difference in the median overall survival rate [ΔmOS], 23.7 months; P < .001). RT showed a significant OS benefit (P =.006), most pronounced in stage II (ΔmOS, 37.8 months) followed by stage I (ΔmOS, 16.1 months; P < .001). The survival benefit with primary-site RT (ΔmOS, 24.0 months) was higher than that with primary-site/lymph node RT (ΔmOS, 5.2 months; P < .001). Wide-margin excision independently predicted improved OS (hazard ratio, 0.577; 95% CI, 0.403-0.826; P = .003) versus narrow-margin excision and RT predicted better OS (hazard ratio, 0.608; 95% CI, 0.424-0.873; P = .007) versus no RT on multivariable analysis.

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To investigate the mechanism of autoimmunity and peripheral tolerance in the skin, several transgenic mouse strains expressing membrane-bound ovalbumin (mOVA) as an epidermal self-antigen under the control of keratinocyte-specific promotors, such as keratin 5 and keratin 14, were employed in combination with adoptive transfer of CD8+ T cells from OT-I mice (OT-I T cells) that recognize an ovalbumin-derived peptide. However, these strains showed bodyweight loss and required additional inflammatory stimuli, such as γ-irradiation and tape-stripping, to induce skin inflammation. In this study, we generated a mouse strain expressing mOVA under the control of human involucrin promoter (involucrin-mOVA mice). In contrast to previous strains, involucrin-mOVA mice spontaneously developed skin inflammation after the transfer of OT-I T cells in the absence of external stimuli without significant bodyweight loss. We focused on the skin infiltration process of OT-I T cells and found that transferred OT-I T cells accumulated around the hair follicles in the early phase of skin inflammation, and in the later phase, the skin inflammation spontaneously resolved despite the remaining OT-I T cells in the skin. Our involucrin-mOVA mice will provide a promising tool to investigate the pathogenesis and the tolerance mechanisms of cytotoxic skin autoimmunity.

UNASSIGNED: Primary pulmonary synovial sarcoma (PPSS) is extremely rare. This study aims to identify the clinicopathologic and therapeutic factors determining survival in PPSS.
UNASSIGNED: We performed a retrospective analysis of 121 patients from the Surveillance, Epidemiology, and End Results Database as well as 12 patients from our own institution diagnosed with PPSS. Patient survival was evaluated using the Kaplan-Meier method.
UNASSIGNED: The median survival time for 12 PPSS patients in our institution was 78 months. Postoperative chemotherapy (P = .027 for overall survival and P = .035 for disease-specific survival) was associated with superior survival, whereas pneumonectomy (P = .011 for overall survival and P = .006 for disease-specific survival) was associated with worse survival. Single lobe involvement (P = .022) and the absence of lymph node involvement (P = .045) were associated with improved disease-specific survival and overall survival, respectively. In the Surveillance, Epidemiology, and End Results Database, the median survival time was 23 months. Significantly superior survival was observed in patients with earlier American Joint Committee on Cancer stage (Ⅰ-Ⅱ) (P < .001 for both overall survival and disease-specific survival). Patients who were diagnosed within the recent decade did not achieve a better survival (P = .599 for overall survival and P = .596 for disease-specific survival).
UNASSIGNED: PPSS was aggressive with a very poor prognosis. The seventh American Joint Committee on Cancer stage might aid in predicting survival. Pneumonectomy and lymph node involvement might be associated with worse survival, whereas single lobe involvement and postoperative chemotherapy might be associated with improved survival.

UNASSIGNED: Neoadjuvant chemoradiation has been shown to improve survival in locally advanced esophageal and gastroesophageal junction cancer. The purpose of our study was to examine the effects of posttreatment persistent lymph node (LN) disease on overall survival (OS) and recurrence in patients with esophageal adenocarcinoma after neoadjuvant chemoradiation as well as the effect of LN harvest and the potential benefit of adjuvant chemotherapy.
UNASSIGNED: The records of patients who underwent esophagectomy in our hospital from January 2005 until December 2016 were analyzed. Our study group consisted of 509 patients.
UNASSIGNED: Patient groups were created based on pathologic staging after esophagectomy (ypT N) as 22.0% of patients were ypT0 N0, 46.2% had incomplete response only at the primary tumor level (ypT + N0), and 31.8% had at least 1 metastatic lymph node (ypTx N+). Median OS was 58.3 months. The ypTx N+ group was divided into ypTx N1 and ypTx N2 or N3 subgroups based on the number of metastatic lymph nodes. The OS between the 2 groups was not significantly different (median OS, 37.6 vs 29.8 months; P = .097). The disease-free survival did show a statistically significant difference (median disease-free survival, 27.6 vs 13.7 months; P = .007). The LN harvest was not found to be significantly associated with OS. However, administration of adjuvant chemotherapy was a significant prognosticator for increased OS (hazard ratio, 0.590; P = .043).
UNASSIGNED: Our results demonstrate that residual LN disease after neoadjuvant chemoradiation is associated with increased mortality. Adjuvant chemotherapy, but not number of LNs resected, was correlated with increased OS in this subset of patients.

UNASSIGNED: We investigated the safety of a novel interlobar fissure division technique using the da Vinci vessel sealing system in robot-assisted pulmonary lobectomy.
UNASSIGNED: The medical records of patients who underwent robotic pulmonary lobectomy with node dissection for primary lung cancer between 2018 and 2020 were reviewed. The inclusion criteria were fulfilled by 111 patients, whose perioperative factors and postoperative results were compared with those previously reported. Furthermore, the new robotic lung interlobar division technique using the da Vinci vessel sealing system without a robotic stapler was evaluated in patients with low-grade incomplete fissure. We considered the Craig and Walker classification of lung fissures grades 1 and 2 as a good adaptation for the vessel sealing system interlobar fissure division.
UNASSIGNED: The vessel sealing system group had shorter mean operative and console times (P = .03 and P = .01, respectively) and lesser median intraoperative blood loss (20 mL vs 50 mL; P = .01). The vessel sealing system group had lower surgical complication rates (2.2% vs 20.0%; P = .01). The incidence of persistent postoperative air leak was lower (0% vs 10.0%; P = .06), and fewer robotic stapler cartridges were used during surgery (3.4 vs 5.6; P < .001) in the vessel sealing system group than in the stapler group.
UNASSIGNED: We report the safety of using the da Vinci vessel sealing system as an alternative to the use of robotic staples for interlobar fissure division in robot-assisted pulmonary lobectomy. This technique seems easy and feasible though limited to the low-grade incomplete fissure.

The lymph node (LN) is a vital organ of the lymphatic and immune system that enables timely detection, response, and clearance of harmful substances from the body. Each LN comprises of distinct substructures, which host a plethora of immune cell types working in tandem to coordinate complex innate and adaptive immune responses. An improved understanding of LN biology could facilitate treatment in LN-associated pathologies and immunotherapeutic interventions, yet at present, animal models, which often have poor physiological relevance, are the most popular experimental platforms. Emerging biomaterial engineering offers powerful alternatives, with the potential to circumvent limitations of animal models, for in-depth characterization and engineering of the lymphatic and adaptive immune system. In addition, mathematical and computational approaches, particularly in the current age of big data research, are reliable tools to verify and complement biomaterial works. In this review, we first discuss the importance of lymph node in immunity protection followed by recent advances using biomaterials to create in vitro/vivo LN-mimicking models to recreate the lymphoid tissue microstructure and microenvironment, as well as to describe the related immuno-functionality for biological investigation. We also explore the great potential of mathematical and computational models to serve as in silico supports. Furthermore, we suggest how both in vitro/vivo and in silico approaches can be integrated to strengthen basic patho-biological research, translational drug screening and clinical personalized therapies. We hope that this review will promote synergistic collaborations to accelerate progress of LN-mimicking systems to enhance understanding of immuno-complexity.

In the skin, Langerhans cells (LCs) require autocrine latent TGFβ that is transactivated by the integrins ανβ6 and ανβ8 expressed by keratinocytes (KCs) for long-term epidermal retention. Selective expression of a ligand-independent, constitutively active form of TGFβR1 inhibits LC migration during homeostasis and in response to UVB exposure. In this study, we found that LC migration in response to inflammatory stimuli was also inhibited by ligand-independent TGFβR1 signaling. Contrary to UVB stimulation, which reduced KC expression of ανβ6, in vitro and in vivo exposure to TNF-α or IL-1β increased ανβ6 transcript and protein expression by KCs. This resulted in increased KC-mediated transactivation of latent TGFβ. Expression of ανβ8 was largely unchanged. These findings show that ligand-independent TGFβR1 signaling in LCs can overcome inflammatory migration stimuli, but reduced KC-mediated transactivation of latent TGFβ by KCs may only drive LC migration during homeostasis and in response to UV stimulation.

Melanoma is a high-risk skin cancer because it tends to metastasize early and ultimately leads to death. In this study, we introduced a noninvasive multifunctional optical coherence tomography (MFOCT) for the early detection of premetastatic pathogenesis in cutaneous melanoma by label-free imaging of microstructures (i.e., providing the thickness and the scattering information) and microcirculation (i.e., providing depth-resolved angiography and lymphangiography). Using MFOCT-based approaches, we presented an in vivo longitudinal observation of the tumor microenvironment in Braf V600E/V600E ;Pten -/- mice with inducible melanoma monitored for 42 days. Quantitative analysis of MFOCT images identified an increased number of lymphatic and vascular vessels during tumor progression and faster lymphangiogenesis (beginning on day 21) than angiogenesis (beginning on day 28) in the melanoma microenvironment. We further observed lymphatic vessel enlargement from the first week of melanoma development, implying tumor cells interacting with the vessels and increased likelihood of metastasis. MFOCT identified cutaneous melanoma‒associated angiogenesis and lymphangiogenesis before the possible visual perception of the tumor (≥42 days) and before metastasis could be diagnosed using micropositron emission tomography (35 days). Thus, the proposed quantitative analysis using MFOCT has the potential for early detection of cutaneous melanoma progression or prediction of metastatic melanoma in a mouse model. However, retrospective and extensive experiments still need to be performed in the future to confirm the value of MFOCT in clinical application.